ask others

• Google
• Google Scholar
• Semantic Scholar
• Internet Archive Scholar
• CiteSeerX
• ORCID

• unicode name:羅平
• affiliation:University of Hong Kong, Shanghai AI Laboratory, Department of Computer Science, Hong Kong
• affiliation (PhD 2014):Chinese University of Hong Kong, Department of Information Engineering, Hong Kong
• affiliation (former):Sun Yat-Sen University, School of Software, Guangzhou, China
• affiliation (former):Lotus Hill Insititue, China

• Ping Luo —disambiguation page
• Ping Luo0001 —Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China(and 1 more)
• Ping Luo0003 — University of Saskatchewan, Division of Biomedical Engineering, Saskatoon, SK, Canada
• Ping Luo0004 —Tsinghua University, Key Laboratory for Information System Security, Beijing, China(and 1 more)
• Ping Luo0005 — University of Electronic Science and Technology of China, Institute of Electronic and Information Engineering, State Key Laboratory of Electronic Thin Films and Integrated Devices, China
• Ping Luo0006 — Guangzhou University, School of Economics and Statistics, China
• Ping Luo0007 —National University of Defense Technology (NUDT), National Key Laboratory of Parallel and Distributed Computing, College of Computer Science and Technology, ChangSha, China(and 2 more)
• Ping Luo0008 — Tsinghua University, Tsinghua National Laboratory for Information Science and Technology (TNlist), Department of Computer Science and Technology, Beijing, China

• Ai-Ping Luo
• Chih-Ping Luo
• Shi-Ping Luo
• Xi-Ping Luo
• Xue-ping Luo
• Yiping Luo(aka: Yi-Ping Luo) —disambiguation page
• Yiping Luo0001(aka: Yi-Ping Luo0001) — Hunan Institute of Engineering, Xiangtan, China
• Yiping Luo0002(aka: Yi-Ping Luo0002) — Central South University, School of Traffic and Transportation Engineering, Changsha, China
• Zhengping Luo0002(aka: Zheng-ping Luo0002) — Chinese Academy of Sciences, Institute of Plasma Physics, Hefei, China
• Luo Ping

• 2026
• 
  [j48]
  Haohao Zhang,Ping Luo,Chao Hua,Jinyi Chen,Qing Yuan:
  Machine learning-aided optimal design and distributed model predictive control of reactive dividing wall column.Comput. Chem. Eng.204:109355 (2026)
• 
  [i334]
  Jin Wang,Jianxiang Lu,Comi Chen,Guangzheng Xu,Haoyu Yang,Peng Chen,Na Zhang,Yifan Xu,Longhuang Wu,Shuai Shao,Qinglin Lu,Ping Luo:
  Rotate Your Character: Revisiting Video Diffusion Models for High-Quality 3D Character Generation.CoRRabs/2601.05722 (2026)
• 
  [i333]
  Zhantao Ma,Quanfeng Lu,Shuai Zhong,Dahai Yu,Ping Luo,Michael K. Ng:
  TVWorld: Foundations for Remote-Control TV Agents.CoRRabs/2601.13142 (2026)
• 2025
• 
  [j47]
  Kunchang Li,Yinan He,Yi Wang,Yizhuo Li,Wenhai Wang,Ping Luo,Yali Wang,Limin Wang,Yu Qiao:
  VideoChat: chat-centric video understanding.Sci. China Inf. Sci.68(10) (2025)
• 
  [j46]
  Jiankai Sun,Chuanyang Zheng,Enze Xie,Zhengying Liu,Ruihang Chu,Jianing Qiu,Jiaqi Xu,Mingyu Ding,Hongyang Li,Mengzhe Geng,Yue Wu,Wenhai Wang,Junsong Chen,Zhangyue Yin,Xiaozhe Ren,Jie Fu,Junxian He,Wu Yuan,Qi Liu,Xihui Liu,Yu Li,Hao Dong,Yu Cheng,Ming Zhang,Pheng-Ann Heng,Jifeng Dai,Ping Luo,Jingdong Wang,Ji-Rong Wen,Xipeng Qiu,Yike Guo,Hui Xiong,Qun Liu,Zhenguo Li:
  A Survey of Reasoning with Foundation Models: Concepts, Methodologies, and Outlook.ACM Comput. Surv.57(11):278:1-278:43 (2025)
• 
  [j45]
  Anran Liu,Xiaoxiao Long,Yuan Liu,Ping Luo,Wenping Wang:
  Sem-iNeRF: Camera Pose Refinement by Inverting Neural Radiance Fields with Semantic Feature Consistency.Comput. Vis. Media11(3):513-530 (2025)
• 
  [j44]
  Zhouxia Wang,Xintao Wang,Liangbin Xie,Zhongang Qi,Ying Shan,Wenping Wang,Ping Luo:
  StyleAdapter: A Unified Stylized Image Generation Model.Int. J. Comput. Vis.133(4):1894-1911 (2025)
• 
  [j43]
  Yangyang Xu,Shengfeng He,Kwan-Yee K. Wong,Ping Luo:
  RIGID: Recurrent GAN Inversion and Editing of Real Face Videos and Beyond.Int. J. Comput. Vis.133(6):3437-3455 (2025)
• 
  [j42]
  Peng Xu,Wenqi Shao,Kaipeng Zhang,Peng Gao,Shuo Liu,Meng Lei,Fanqing Meng,Siyuan Huang,Yu Qiao,Ping Luo:
  LVLM-EHub: A Comprehensive Evaluation Benchmark for Large Vision-Language Models.IEEE Trans. Pattern Anal. Mach. Intell.47(3):1877-1893 (2025)
• 
  [j41]
  Xiangchao Yan,Runjian Chen,Bo Zhang,Hancheng Ye,Renqiu Xia,Jiakang Yuan,Hongbin Zhou,Xinyu Cai,Botian Shi,Wenqi Shao,Ping Luo,Yu Qiao,Tao Chen,Junchi Yan:
  SPOT: Scalable 3D Pre-Training via Occupancy Prediction for Learning Transferable 3D Representations.IEEE Trans. Pattern Anal. Mach. Intell.47(11):9609-9625 (2025)
• 
  [j40]
  Hao Zhang,Ping Luo,Te Qi,Yan Xu,Tieyong Zeng:
  Adaptive Superpixel-Guided Non-Homogeneous Image Dehazing.IEEE Signal Process. Lett.32:591-595 (2025)
• 
  [j39]
  Wenqi Shao,Meng Lei,Yutao Hu,Peng Gao,Peng Xu,Kaipeng Zhang,Fanqing Meng,Siyuan Huang,Hongsheng Li,Yu Qiao,Ping Luo:
  TinyLVLM-eHub: Towards Comprehensive and Efficient Evaluation for Large Vision-Language Models.IEEE Trans. Big Data11(3):933-947 (2025)
• 
  [j38]
  Hao Zhang,Wenqi Shao,Hong Liu,Yongqiang Ma,Ping Luo,Yu Qiao,Nanning Zheng,Kaipeng Zhang:
  B-AVIBench: Toward Evaluating the Robustness of Large Vision-Language Model on Black-Box Adversarial Visual-Instructions.IEEE Trans. Inf. Forensics Secur.20:1434-1446 (2025)
• 
  [j37]
  Jing Xiong,Gongye Liu,Lun Huang,Chengyue Wu,Taiqiang Wu,Yao Mu,Yuan Yao,Hui Shen,Zhongwei Wan,Jinfa Huang,Chaofan Tao,Shen Yan,Huaxiu Yao,Lingpeng Kong,Hongxia Yang,Mi Zhang,Guillermo Sapiro,Jiebo Luo,Ping Luo,Ngai Wong:
  Autoregressive Models in Vision: A Survey.Trans. Mach. Learn. Res.2025 (2025)
• 
  [j36]
  Anran Liu,Yuan Liu,Xiaoxiao Long,Peng Wang,Cheng Lin,Ping Luo,Wenping Wang:
  NeRFBuff: Fast Neural Rendering via Inter-Frame Feature Buffering.IEEE Trans. Vis. Comput. Graph.31(7):4050-4063 (2025)
• 
  [j35]
  Jiaming Xie,Congyi Zhang,Guangshun Wei,Peng Wang,Guodong Wei,Wenxi Liu,Min Gu,Ping Luo,Wenping Wang:
  Tooth Motion Monitoring in Orthodontic Treatment by Mobile Device-Based Multi-View Stereo.IEEE Trans. Vis. Comput. Graph.31(9):5726-5740 (2025)
• 
  [c241]
  Yao Lai,Sungyoung Lee,Guojin Chen,Souradip Poddar,Mengkang Hu,David Z. Pan,Ping Luo:
  AnalogCoder: Analog Circuit Design via Training-Free Code Generation.AAAI2025:379-387
• 
  [c240]
  Haibao Yu,Wenxian Yang,Jiaru Zhong,Zhenwei Yang,Siqi Fan,Ping Luo,Zaiqing Nie:
  End-to-End Autonomous Driving Through V2X Cooperation.AAAI2025:9598-9606
• 
  [c239]
  Zekang Yang,Wang Zeng,Sheng Jin,Chen Qian,Ping Luo,Wentao Liu:
  AutoMMLab: Automatically Generating Deployable Models from Language Instructions for Computer Vision Tasks.AAAI2025:22056-22064
• 
  [c238]
  Mengzhao Chen,Wenqi Shao,Peng Xu,Jiahao Wang,Peng Gao,Kaipeng Zhang,Ping Luo:
  EfficientQAT: Efficient Quantization-Aware Training for Large Language Models.ACL (1)2025:10081-10100
• 
  [c237]
  Mengkang Hu,Tianxing Chen,Yude Zou,Yuheng Lei,Qiguang Chen,Ming Li,Yao Mu,Hongyuan Zhang,Wenqi Shao,Ping Luo:
  Text2World: Benchmarking Large Language Models for Symbolic World Model Generation.ACL (Findings)2025:26043-26066
• 
  [c236]
  Mengkang Hu,Tianxing Chen,Qiguang Chen,Yao Mu,Wenqi Shao,Ping Luo:
  HiAgent: Hierarchical Working Memory Management for Solving Long-Horizon Agent Tasks with Large Language Model.ACL (1)2025:32779-32798
• 
  [c235]
  Tianxing Chen,Yao Mu,Zhixuan Liang,Zanxin Chen,Shijia Peng,Qiangyu Chen,Mingkun Xu,Ruizhen Hu,Hongyuan Zhang,Xuelong Li,Ping Luo:
  G3Flow: Generative 3D Semantic Flow for Pose-aware and Generalizable Object Manipulation.CVPR2025:1735-1744
• 
  [c234]
  Zhixuan Liang,Yao Mu,Yixiao Wang,Tianxing Chen,Wenqi Shao,Wei Zhan,Masayoshi Tomizuka,Ping Luo,Mingyu Ding:
  DexHandDiff: Interaction-aware Diffusion Planning for Adaptive Dexterous Manipulation.CVPR2025:1745-1755
• 
  [c233]
  Zekang Yang,Wang Zeng,Sheng Jin,Chen Qian,Ping Luo,Wentao Liu:
  NADER: Neural Architecture Design via Multi-Agent Collaboration.CVPR2025:4452-4461
• 
  [c232]
  Runjian Chen,Wenqi Shao,Bo Zhang,Shaoshuai Shi,Li Jiang,Ping Luo:
  JiSAM: Alleviate Labeling Burden and Corner Case Problems in Autonomous Driving via Minimal Real-World Data.CVPR2025:6792-6801
• 
  [c231]
  Haopeng Sun,Yingwei Zhang,Lumin Xu,Sheng Jin,Ping Luo,Chen Qian,Wentao Liu,Yiqiang Chen:
  Unsupervised Continual Domain Shift Learning with Multi-Prototype Modeling.CVPR2025:10131-10141
• 
  [c230]
  Chengyue Wu,Xiaokang Chen,Zhiyu Wu,Yiyang Ma,Xingchao Liu,Zizheng Pan,Wen Liu,Zhenda Xie,Xingkai Yu,Chong Ruan,Ping Luo:
  Janus: Decoupling Visual Encoding for Unified Multimodal Understanding and Generation.CVPR2025:12966-12977
• 
  [c229]
  Chongjian Ge,Chenfeng Xu,Yuanfeng Ji,Chensheng Peng,Masayoshi Tomizuka,Ping Luo,Mingyu Ding,Varun Jampani,Wei Zhan:
  CompGS: Unleashing 2D Compositionality for Compositional Text-to-3D via Dynamically Optimizing 3D Gaussians.CVPR2025:18509-18520
• 
  [c228]
  Yao Mu,Tianxing Chen,Zanxin Chen,Shijia Peng,Zhiqian Lan,Zeyu Gao,Zhixuan Liang,Qiaojun Yu,Yude Zou,Mingkun Xu,Lunkai Lin,Zhiqiang Xie,Mingyu Ding,Ping Luo:
  RoboTwin: Dual-Arm Robot Benchmark with Generative Digital Twins.CVPR2025:27649-27660
• 
  [c227]
  Yatai Ji,Shilong Zhang,Jie Wu,Peize Sun,Weifeng Chen,Xuefeng Xiao,Sidi Yang,Yujiu Yang,Ping Luo:
  IDA-VLM: Towards Movie Understanding via ID-Aware Large Vision-Language Model.ICLR2025
• 
  [c226]
  Yuqi Lin,Hengjia Li,Wenqi Shao,Zheng Yang,Jun Zhao,Xiaofei He,Ping Luo,Kaipeng Zhang:
  SAMRefiner: Taming Segment Anything Model for Universal Mask Refinement.ICLR2025
• 
  [c225]
  Fanqing Meng,Jin Wang,Chuanhao Li,Quanfeng Lu,Hao Tian,Tianshuo Yang,Jiaqi Liao,Xizhou Zhu,Jifeng Dai,Yu Qiao,Ping Luo,Kaipeng Zhang,Wenqi Shao:
  MMIU: Multimodal Multi-image Understanding for Evaluating Large Vision-Language Models.ICLR2025
• 
  [c224]
  Yue Yang,Shuibo Zhang,Kaipeng Zhang,Yi Bin,Yu Wang,Ping Luo,Wenqi Shao:
  Dynamic Multimodal Evaluation with Flexible Complexity by Vision-Language Bootstrapping.ICLR2025
• 
  [c223]
  Qilin Liao,Shuo Yang,Bo Zhao,Ping Luo,Hengshuang Zhao:
  BOOD: Boundary-based Out-Of-Distribution Data Generation.ICML2025
• 
  [c222]
  Fanqing Meng,Jiaqi Liao,Xinyu Tan,Quanfeng Lu,Wenqi Shao,Kaipeng Zhang,Yu Cheng,Dianqi Li,Ping Luo:
  Towards World Simulator: Crafting Physical Commonsense-Based Benchmark for Video Generation.ICML2025
• 
  [c221]
  Junfeng Long,Junli Ren,Moji Shi,Zirui Wang,Tao Huang,Ping Luo,Jiangmiao Pang:
  Learning Humanoid Locomotion with Perceptive Internal Model.ICRA2025:9997-10003
• 
  [c220]
  Mengkang Hu,Pu Zhao,Can Xu,Qingfeng Sun,Jian-Guang Lou,Qingwei Lin,Ping Luo,Saravan Rajmohan:
  AgentGen: Enhancing Planning Abilities for Large Language Model based Agent via Environment and Task Generation.KDD (1)2025:496-507
• 
  [c219]
  Yangyang Xu,Shengfeng He,Wenqi Shao,Yong Du,Kwan-Yee K. Wong,Yu Qiao,Jun Yu,Ping Luo:
  DiffusionMat: Alpha Matting as Deterministic Sequential Refinement Learning.ACM Multimedia2025:9454-9462
• 
  [c218]
  Chengyue Wu,Zhixuan Liang,Yixiao Ge,Qiushan Guo,Zeyu Lu,Jiahao Wang,Ying Shan,Ping Luo:
  Plot2Code: A Comprehensive Benchmark for Evaluating Multi-modal Large Language Models in Code Generation from Scientific Plots.NAACL (Findings)2025:3006-3028
• 
  [i332]
  Jiahao Wang,Ning Kang,Lewei Yao,Mengzhao Chen,Chengyue Wu,Songyang Zhang,Shuchen Xue,Yong Liu,Taiqiang Wu,Xihui Liu,Kaipeng Zhang,Shifeng Zhang,Wenqi Shao,Zhenguo Li,Ping Luo:
  LiT: Delving into a Simplified Linear Diffusion Transformer for Image Generation.CoRRabs/2501.12976 (2025)
• 
  [i331]
  Shoufa Chen,Chongjian Ge,Yuqi Zhang,Yida Zhang,Fengda Zhu,Hao Yang,Hongxiang Hao,Hui Wu,Zhichao Lai,Yifei Hu,Ting-Che Lin,Shilong Zhang,Fu Li,Chuan Li,Xing Wang,Yanghua Peng,Peize Sun,Ping Luo,Yi Jiang,Zehuan Yuan,Bingyue Peng,Xiaobing Liu:
  Goku: Flow Based Video Generative Foundation Models.CoRRabs/2502.04896 (2025)
• 
  [i330]
  Shilong Zhang,Wenbo Li,Shoufa Chen,Chongjian Ge,Peize Sun,Yida Zhang,Yi Jiang,Zehuan Yuan,Binyue Peng,Ping Luo:
  FlashVideo: Flowing Fidelity to Detail for Efficient High-Resolution Video Generation.CoRRabs/2502.05179 (2025)
• 
  [i329]
  Yuqi Lin,Hengjia Li,Wenqi Shao,Zheng Yang,Jun Zhao,Xiaofei He,Ping Luo,Kaipeng Zhang:
  SAMRefiner: Taming Segment Anything Model for Universal Mask Refinement.CoRRabs/2502.06756 (2025)
• 
  [i328]
  Mengkang Hu,Tianxing Chen,Yude Zou,Yuheng Lei,Qiguang Chen,Ming Li,Yao Mu,Hongyuan Zhang,Wenqi Shao,Ping Luo:
  Text2World: Benchmarking Large Language Models for Symbolic World Model Generation.CoRRabs/2502.13092 (2025)
• 
  [i327]
  Junli Ren,Tao Huang,Huayi Wang,Zirui Wang,Qingwei Ben,Jiangmiao Pang,Ping Luo:
  VB-Com: Learning Vision-Blind Composite Humanoid Locomotion Against Deficient Perception.CoRRabs/2502.14814 (2025)
• 
  [i326]
  AgiBot-World-Contributors,Qingwen Bu,Jisong Cai,Li Chen,Xiuqi Cui,Yan Ding,Siyuan Feng,Shenyuan Gao,Xindong He,Xu Huang,Shu Jiang,Yuxin Jiang,Cheng Jing,Hongyang Li,Jialu Li,Chiming Liu,Yi Liu,Yuxiang Lu,Jianlan Luo,Ping Luo,Yao Mu,Yuehan Niu,Yixuan Pan,Jiangmiao Pang,Yu Qiao,Guanghui Ren,Cheng Ruan,Jiaqi Shan,Yongjian Shen,Chengshi Shi,Mingkang Shi,Modi Shi,Chonghao Sima,Jianheng Song,Huijie Wang,Wenhao Wang,Dafeng Wei,Chengen Xie,Guo Xu,Junchi Yan,Cunbiao Yang,Lei Yang,Shukai Yang,Maoqing Yao,Jia Zeng,Chi Zhang,Qinglin Zhang,Bin Zhao,Chengyue Zhao,Jiaqi Zhao,Jianchao Zhu:
  AgiBot World Colosseo: A Large-scale Manipulation Platform for Scalable and Intelligent Embodied Systems.CoRRabs/2503.06669 (2025)
• 
  [i325]
  Fanqing Meng,Lingxiao Du,Zongkai Liu,Zhixiang Zhou,Quanfeng Lu,Daocheng Fu,Botian Shi,Wenhai Wang,Junjun He,Kaipeng Zhang,Ping Luo,Yu Qiao,Qiaosheng Zhang,Wenqi Shao:
  MM-Eureka: Exploring Visual Aha Moment with Rule-based Large-scale Reinforcement Learning.CoRRabs/2503.07365 (2025)
• 
  [i324]
  Runjian Chen,Wenqi Shao,Bo Zhang,Shaoshuai Shi,Li Jiang,Ping Luo:
  JiSAM: Alleviate Labeling Burden and Corner Case Problems in Autonomous Driving via Minimal Real-World Data.CoRRabs/2503.08422 (2025)
• 
  [i323]
  Chonghao Sima,Kashyap Chitta,Zhiding Yu,Shiyi Lan,Ping Luo,Andreas Geiger,Hongyang Li,José M. Álvarez:
  Centaur: Robust End-to-End Autonomous Driving with Test-Time Training.CoRRabs/2503.11650 (2025)
• 
  [i322]
  Shoufa Chen,Chongjian Ge,Shilong Zhang,Peize Sun,Ping Luo:
  PixelFlow: Pixel-Space Generative Models with Flow.CoRRabs/2504.07963 (2025)
• 
  [i321]
  Yao Mu,Tianxing Chen,Zanxin Chen,Shijia Peng,Zhiqian Lan,Zeyu Gao,Zhixuan Liang,Qiaojun Yu,Yude Zou,Mingkun Xu,Lunkai Lin,Zhiqiang Xie,Mingyu Ding,Ping Luo:
  RoboTwin: Dual-Arm Robot Benchmark with Generative Digital Twins.CoRRabs/2504.13059 (2025)
• 
  [i320]
  Qingwen Bu,Yanting Yang,Jisong Cai,Shenyuan Gao,Guanghui Ren,Maoqing Yao,Ping Luo,Hongyang Li:
  UniVLA: Learning to Act Anywhere with Task-centric Latent Actions.CoRRabs/2505.06111 (2025)
• 
  [i319]
  Zeyue Xue,Jie Wu,Yu Gao,Fangyuan Kong,Lingting Zhu,Mengzhao Chen,Zhiheng Liu,Wei Liu,Qiushan Guo,Weilin Huang,Ping Luo:
  DanceGRPO: Unleashing GRPO on Visual Generation.CoRRabs/2505.07818 (2025)
• 
  [i318]
  Lingxiao Du,Fanqing Meng,Zongkai Liu,Zhixiang Zhou,Ping Luo,Qiaosheng Zhang,Wenqi Shao:
  MM-PRM: Enhancing Multimodal Mathematical Reasoning with Scalable Step-Level Supervision.CoRRabs/2505.13427 (2025)
• 
  [i317]
  Zhiqian Lan,Yuxuan Jiang,Ruiqi Wang,Xuanbing Xie,Rongkui Zhang,Yicheng Zhu,Peihang Li,Tianshuo Yang,Tianxing Chen,Haoyu Gao,Xiaokang Yang,Xuelong Li,Hongyuan Zhang,Yao Mu,Ping Luo:
  AutoBio: A Simulation and Benchmark for Robotic Automation in Digital Biology Laboratory.CoRRabs/2505.14030 (2025)
• 
  [i316]
  Mengzhao Chen,Chaoyi Zhang,Jing Liu,Yutao Zeng,Zeyue Xue,Zhiheng Liu,Yunshui Li,Jin Ma,Jie Huang,Xun Zhou,Ping Luo:
  Scaling Law for Quantization-Aware Training.CoRRabs/2505.14302 (2025)
• 
  [i315]
  Hui Shen,Taiqiang Wu,Qi Han,Yunta Hsieh,Jizhou Wang,Yuyue Zhang,Yuxin Cheng,Zijian Hao,Yuansheng Ni,Xin Wang,Zhongwei Wan,Kai Zhang,Wendong Xu,Jing Xiong,Ping Luo,Wenhu Chen,Chaofan Tao,Zhuoqing Mao,Ngai Wong:
  PhyX: Does Your Model Have the "Wits" for Physical Reasoning?CoRRabs/2505.15929 (2025)
• 
  [i314]
  Jin Wang,Yao Lai,Aoxue Li,Shifeng Zhang,Jiacheng Sun,Ning Kang,Chengyue Wu,Zhenguo Li,Ping Luo:
  FUDOKI: Discrete Flow-based Unified Understanding and Generation via Kinetic-Optimal Velocities.CoRRabs/2505.20147 (2025)
• 
  [i313]
  Chengyue Wu,Hao Zhang,Shuchen Xue,Zhijian Liu,Shizhe Diao,Ligeng Zhu,Ping Luo,Song Han,Enze Xie:
  Fast-dLLM: Training-free Acceleration of Diffusion LLM by Enabling KV Cache and Parallel Decoding.CoRRabs/2505.22618 (2025)
• 
  [i312]
  Yue Yang,MingKang Chen,Qihua Liu,Mengkang Hu,Qiguang Chen,Gengrui Zhang,Shuyue Hu,Guangtao Zhai,Yu Qiao,Yu Wang,Wenqi Shao,Ping Luo:
  Truly Assessing Fluid Intelligence of Large Language Models through Dynamic Reasoning Evaluation.CoRRabs/2506.02648 (2025)
• 
  [i311]
  Junting Chen,Haotian Liang,Lingxiao Du,Weiyun Wang,Mengkang Hu,Yao Mu,Wenhai Wang,Jifeng Dai,Ping Luo,Wenqi Shao,Lin Shao:
  OWMM-Agent: Open World Mobile Manipulation With Multi-modal Agentic Data Synthesis.CoRRabs/2506.04217 (2025)
• 
  [i310]
  Yizhuo Li,Yuying Ge,Yixiao Ge,Ying Shan,Ping Luo:
  Aligning Latent Spaces with Flow Priors.CoRRabs/2506.05240 (2025)
• 
  [i309]
  Yuheng Lei,Sitong Mao,Shunbo Zhou,Hongyuan Zhang,Xuelong Li,Ping Luo:
  Dynamic Mixture of Progressive Parameter-Efficient Expert Library for Lifelong Robot Learning.CoRRabs/2506.05985 (2025)
• 
  [i308]
  Tianxing Chen,Zanxin Chen,Baijun Chen,Zijian Cai,Yibin Liu,Qiwei Liang,Zixuan Li,Xianliang Lin,Yiheng Ge,Zhenyu Gu,Weiliang Deng,Yubin Guo,Tian Nian,Xuanbing Xie,Qiangyu Chen,Kailun Su,Tianling Xu,Guodong Liu,Mengkang Hu,Huan-ang Gao,Kaixuan Wang,Zhixuan Liang,Yusen Qin,Xiaokang Yang,Ping Luo,Yao Mu:
  RoboTwin 2.0: A Scalable Data Generator and Benchmark with Strong Domain Randomization for Robust Bimanual Robotic Manipulation.CoRRabs/2506.18088 (2025)
• 
  [i307]
  Tianxing Chen,Kaixuan Wang,Zhaohui Yang,Yuhao Zhang,Zanxin Chen,Baijun Chen,Wanxi Dong,Ziyuan Liu,Dong Chen,Tianshuo Yang,Haibao Yu,Xiaokang Yang,Yusen Qin,Zhiqiang Xie,Yao Mu,Ping Luo:
  Benchmarking Generalizable Bimanual Manipulation: RoboTwin Dual-Arm Collaboration Challenge at CVPR 2025 MEIS Workshop.CoRRabs/2506.23351 (2025)
• 
  [i306]
  Modi Shi,Li Chen,Jin Chen,Yuxiang Lu,Chiming Liu,Guanghui Ren,Ping Luo,Di Huang,Maoqing Yao,Hongyang Li:
  Is Diversity All You Need for Scalable Robotic Manipulation?CoRRabs/2507.06219 (2025)
• 
  [i305]
  Ruiyang Hao,Haibao Yu,Jiaru Zhong,Chuanye Wang,Jiahao Wang,Yiming Kan,Wenxian Yang,Siqi Fan,Huilin Yin,Jianing Qiu,Yao Mu,Jiankai Sun,Li Chen,Walter Zimmer,Dandan Zhang,Shanghang Zhang,Mac Schwager,Wei Huang,Xiaobo Zhang,Ping Luo,Zaiqing Nie:
  Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition.CoRRabs/2507.21610 (2025)
• 
  [i304]
  Qilin Liao,Shuo Yang,Bo Zhao,Ping Luo,Hengshuang Zhao:
  BOOD: Boundary-based Out-Of-Distribution Data Generation.CoRRabs/2508.00350 (2025)
• 
  [i303]
  Yao Lai,Souradip Poddar,Sungyoung Lee,Guojin Chen,Mengkang Hu,Bei Yu,Ping Luo,David Z. Pan:
  AnalogCoder-Pro: Unifying Analog Circuit Generation and Optimization via Multi-modal LLMs.CoRRabs/2508.02518 (2025)
• 
  [i302]
  Zhiheng Liu,Xueqing Deng,Shoufa Chen,Angtian Wang,Qiushan Guo,Mingfei Han,Zeyue Xue,Mengzhao Chen,Ping Luo,Linjie Yang:
  WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception.CoRRabs/2508.15720 (2025)
• 
  [i301]
  Yupeng Zhang,Dezhi Zheng,Ping Luo,Han Zhang,Lei Wang,Liping xiang,Cheng Luo,Kaijun Deng,Xiaowen Fu,Linlin Shen,Jinbao Wang:
  LabelGS: Label-Aware 3D Gaussian Splatting for 3D Scene Segmentation.CoRRabs/2508.19699 (2025)
• 
  [i300]
  Quanfeng Lu,Zhantao Ma,Shuai Zhong,Jin Wang,Dahai Yu,Michael K. Ng,Ping Luo:
  SWIRL: A Staged Workflow for Interleaved Reinforcement Learning in Mobile GUI Control.CoRRabs/2508.20018 (2025)
• 
  [i299]
  Zhixuan Liang,Yizhuo Li,Tianshuo Yang,Chengyue Wu,Sitong Mao,Liuao Pei,Xiaokang Yang,Jiangmiao Pang,Yao Mu,Ping Luo:
  Discrete Diffusion VLA: Bringing Discrete Diffusion to Action Decoding in Vision-Language-Action Policies.CoRRabs/2508.20072 (2025)
• 
  [i298]
  Yuanfeng Ji,Dan Lin,Xiyue Wang,Lu Zhang,Wenhui Zhou,Chongjian Ge,Ruihang Chu,Xiaoli Yang,Junhan Zhao,Junsong Chen,Xiangde Luo,Sen Yang,Jin Fang,Ping Luo,Ruijiang Li:
  A Generative Foundation Model for Chest Radiography.CoRRabs/2509.03903 (2025)
• 
  [i297]
  Haibao Yu,Wenxian Yang,Ruiyang Hao,Chuanye Wang,Jiaru Zhong,Ping Luo,Zaiqing Nie:
  DriveE2E: Closed-Loop Benchmark for End-to-End Autonomous Driving through Real-to-Simulation.CoRRabs/2509.23922 (2025)
• 
  [i296]
  Junsong Chen,Yuyang Zhao,Jincheng Yu,Ruihang Chu,Junyu Chen,Shuai Yang,Xianbang Wang,Yicheng Pan,Daquan Zhou,Huan Ling,Haozhe Liu,Hongwei Yi,Hao Zhang,Muyang Li,Yukang Chen,Han Cai,Sanja Fidler,Ping Luo,Song Han,Enze Xie:
  SANA-Video: Efficient Video Generation with Block Linear Diffusion Transformer.CoRRabs/2509.24695 (2025)
• 
  [i295]
  Chengyue Wu,Hao Zhang,Shuchen Xue,Shizhe Diao,Yonggan Fu,Zhijian Liu,Pavlo O. Molchanov,Ping Luo,Song Han,Enze Xie:
  Fast-dLLM v2: Efficient Block-Diffusion LLM.CoRRabs/2509.26328 (2025)
• 
  [i294]
  Youquan Fu,Ruiyang Si,Hongfa Wang,Dongzhan Zhou,Jiacheng Sun,Ping Luo,Di Hu,Hongyuan Zhang,Xuelong Li:
  Object-AVEdit: An Object-level Audio-Visual Editing Model.CoRRabs/2510.00050 (2025)
• 
  [i293]
  Junli Ren,Junfeng Long,Tao Huang,Huayi Wang,Zirui Wang,Feiyu Jia,Wentao Zhang,Jingbo Wang,Ping Luo,Jiangmiao Pang:
  Humanoid Goalkeeper: Learning from Position Conditioned Task-Motion Constraints.CoRRabs/2510.18002 (2025)
• 
  [i292]
  Yatai Ji,Teng Wang,Yuying Ge,Zhiheng Liu,Sidi Yang,Ying Shan,Ping Luo:
  From Denoising to Refining: A Corrective Framework for Vision-Language Diffusion Model.CoRRabs/2510.19871 (2025)
• 
  [i291]
  Wenhao Wang,Kehe Ye,Xinyu Zhou,Tianxing Chen,Cao Min,Qiaoming Zhu,Xiaokang Yang,Ping Luo,Yongjian Shen,Yang Yang,Maoqing Yao,Yao Mu:
  FieldGen: From Teleoperated Pre-Manipulation Trajectories to Field-Guided Data Generation.CoRRabs/2510.20774 (2025)
• 
  [i290]
  Mengzhao Chen,Meng Wu,Hui Jin,Zhihang Yuan,Jing Liu,Chaoyi Zhang,Yunshui Li,Jie Huang,Jin Ma,Zeyue Xue,Zhiheng Liu,Xingyan Bin,Ping Luo:
  INT v.s. FP: A Comprehensive Study of Fine-Grained Low-bit Quantization Formats.CoRRabs/2510.25602 (2025)
• 
  [i289]
  Sida Huang,Siqi Huang,Ping Luo,Hongyuan Zhang:
  Laytrol: Preserving Pretrained Knowledge in Layout Control for Multimodal Diffusion Transformers.CoRRabs/2511.07934 (2025)
• 
  [i288]
  Lu Zhu,Tiantian Geng,Yangye Chen,Teng Wang,Ping Luo,Feng Zheng:
  R-AVST: Empowering Video-LLMs with Fine-Grained Spatio-Temporal Reasoning in Complex Audio-Visual Scenarios.CoRRabs/2511.16901 (2025)
• 
  [i287]
  Yixuan Pan,Ruoyi Qiao,Li Chen,Kashyap Chitta,Liang Pan,Haoguang Mai,Qingwen Bu,Hao Zhao,Cunyuan Zheng,Ping Luo,Hongyang Li:
  Agility Meets Stability: Versatile Humanoid Control with Heterogeneous Data.CoRRabs/2511.17373 (2025)
• 
  [i286]
  Haotian Liang,Xinyi Chen,Bin Wang,Mingkang Chen,Yitian Liu,Yuhao Zhang,Zanxin Chen,Tianshuo Yang,Yilun Chen,Jiangmiao Pang,Dong Liu,Xiaokang Yang,Yao Mu,Wenqi Shao,Ping Luo:
  MM-ACT: Learn from Multimodal Parallel Generation to Act.CoRRabs/2512.00975 (2025)
• 
  [i285]
  Zhiheng Liu,Weiming Ren,Haozhe Liu,Zijian Zhou,Shoufa Chen,Haonan Qiu,Xiaoke Huang,Zhaochong An,Fanny Yang,Aditya Patel,Viktar Atliha,Tony Ng,Xiao Han,Chuyan Zhu,Chenyang Zhang,Ding Liu,Juan-Manuel Pérez-Rúa,Sen He,Jürgen Schmidhuber,Wenhu Chen,Ping Luo,Wei Liu,Tao Xiang,Jonas Schult,Yuren Cong:
  TUNA: Taming Unified Visual Representations for Native Unified Multimodal Models.CoRRabs/2512.02014 (2025)
• 
  [i284]
  Ruishu Zhu,Zhihao Huang,Jiacheng Sun,Ping Luo,Hongyuan Zhang,Xuelong Li:
  ViewMask-1-to-3: Multi-View Consistent Image Generation via Multimodal Diffusion Models.CoRRabs/2512.14099 (2025)
• 
  [i283]
  Shilong Zhang,He Zhang,Zhifei Zhang,Chongjian Ge,Shuchen Xue,Shaoteng Liu,Mengwei Ren,Soo Ye Kim,Yuqian Zhou,Qing Liu,Daniil Pakhomov,Kai Zhang,Zhe Lin,Ping Luo:
  Both Semantics and Reconstruction Matter: Making Representation Encoders Ready for Text-to-Image Generation and Editing.CoRRabs/2512.17909 (2025)
• 2024
• 
  [j34]
  Xiaokang Chen,Mingyu Ding,Xiaodi Wang,Ying Xin,Shentong Mo,Yunhao Wang,Shumin Han,Ping Luo,Gang Zeng,Jingdong Wang:
  Context Autoencoder for Self-supervised Representation Learning.Int. J. Comput. Vis.132(1):208-223 (2024)
• 
  [j33]
  Weijia Wu,Yuanqiang Cai,Chunhua Shen,Debing Zhang,Ying Fu,Hong Zhou,Ping Luo:
  End-to-End Video Text Spotting with Transformer.Int. J. Comput. Vis.132(9):4019-4035 (2024)
• 
  [j32]
  Hao Zhang,Lumin Xu,Shenqi Lai,Wenqi Shao,Nanning Zheng,Ping Luo,Yu Qiao,Kaipeng Zhang:
  Open-Vocabulary Animal Keypoint Detection with Semantic-Feature Matching.Int. J. Comput. Vis.132(12):5741-5758 (2024)
• 
  [j31]
  Jian Ding,Enze Xie,Hang Xu,Chenhan Jiang,Zhenguo Li,Ping Luo,Gui-Song Xia:
  Deeply Unsupervised Patch Re-Identification for Pre-Training Object Detectors.IEEE Trans. Pattern Anal. Mach. Intell.46(3):1348-1361 (2024)
• 
  [j30]
  Wang Zeng,Sheng Jin,Lumin Xu,Wentao Liu,Chen Qian,Wanli Ouyang,Ping Luo,Xiaogang Wang:
  TCFormer: Visual Recognition via Token Clustering Transformer.IEEE Trans. Pattern Anal. Mach. Intell.46(12):9521-9535 (2024)
• 
  [j29]
  Junjie Wang,Qichao Zhang,Yao Mu,Dong Li,Dongbin Zhao,Yuzheng Zhuang,Ping Luo,Bin Wang,Jianye Hao:
  Prototypical Context-Aware Dynamics for Generalization in Visual Control With Model-Based Reinforcement Learning.IEEE Trans. Ind. Informatics20(9):10717-10727 (2024)
• 
  [j28]
  Chongjian Ge,Yibing Song,Chao Ma,Yuankai Qi,Ping Luo:
  Rethinking Attentive Object Detection via Neural Attention Learning.IEEE Trans. Image Process.33:1726-1739 (2024)
• 
  [j27]
  Zhouxia Wang,Jiawei Zhang,Xintao Wang,Tianshui Chen,Ying Shan,Wenping Wang,Ping Luo:
  Analysis and Benchmarking of Extending Blind Face Image Restoration to Videos.IEEE Trans. Image Process.33:5676-5687 (2024)
• 
  [j26]
  Zeyu Gao,Yao Mu,Chen Chen,Jingliang Duan,Ping Luo,Yanfeng Lu,Shengbo Eben Li:
  Enhance Sample Efficiency and Robustness of End-to-End Urban Autonomous Driving via Semantic Masked World Model.IEEE Trans. Intell. Transp. Syst.25(10):13067-13079 (2024)
• 
  [j25]
  Chaofan Tao,Rui Lin,Quan Chen,Zhaoyang Zhang,Ping Luo,Ngai Wong:
  FAT: Frequency-Aware Transformation for Bridging Full-Precision and Low-Precision Deep Representations.IEEE Trans. Neural Networks Learn. Syst.35(2):2640-2654 (2024)
• 
  [c217]
  Tianqi Wang,Sukmin Kim,Wenxuan Ji,Enze Xie,Chongjian Ge,Junsong Chen,Zhenguo Li,Ping Luo:
  DeepAccident: A Motion and Accident Prediction Benchmark for V2X Autonomous Driving.AAAI2024:5599-5606
• 
  [c216]
  Zhaoyang Zhang,Wenqi Shao,Yixiao Ge,Xiaogang Wang,Jinwei Gu,Ping Luo:
  Cached Transformers: Improving Transformers with Differentiable Memory Cachde.AAAI2024:16935-16943
• 
  [c215]
  Chengyue Wu,Yukang Gan,Yixiao Ge,Zeyu Lu,Jiahao Wang,Ye Feng,Ying Shan,Ping Luo:
  LLaMA Pro: Progressive LLaMA with Block Expansion.ACL (1)2024:6518-6537
• 
  [c214]
  Fanqing Meng,Wenqi Shao,Quanfeng Lu,Peng Gao,Kaipeng Zhang,Yu Qiao,Ping Luo:
  ChartAssistant: A Universal Chart Multimodal Language Model via Chart-to-Table Pre-training and Multitask Instruction Tuning.ACL (Findings)2024:7775-7803
• 
  [c213]
  Mengkang Hu,Haoyu Dong,Ping Luo,Shi Han,Dongmei Zhang:
  KET-QA: A Dataset for Knowledge Enhanced Table Question Answering.LREC/COLING2024:9705-9719
• 
  [c212]
  Lirui Zhao,Yue Yang,Kaipeng Zhang,Wenqi Shao,Yuxin Zhang,Yu Qiao,Ping Luo,Rongrong Ji:
  DiffAgent: Fast and Accurate Text-to-Image API Selection with Large Language Model.CVPR2024:6390-6399
• 
  [c211]
  Shoufa Chen,Mengmeng Xu,Jiawei Ren,Yuren Cong,Sen He,Yanping Xie,Animesh Sinha,Ping Luo,Tao Xiang,Juan-Manuel Pérez-Rúa:
  GenTron: Diffusion Transformers for Image and Video Generation.CVPR2024:6441-6451
• 
  [c210]
  Qiushan Guo,Shalini De Mello,Hongxu Yin,Wonmin Byeon,Ka Chun Cheung,Yizhou Yu,Ping Luo,Sifei Liu:
  RegionGPT: Towards Region Understanding Vision Language Model.CVPR2024:13796-13806
• 
  [c209]
  Jiazhi Yang,Shenyuan Gao,Yihang Qiu,Li Chen,Tianyu Li,Bo Dai,Kashyap Chitta,Penghao Wu,Jia Zeng,Ping Luo,Jun Zhang,Andreas Geiger,Yu Qiao,Hongyang Li:
  Generalized Predictive Model for Autonomous Driving.CVPR2024:14662-14672
• 
  [c208]
  Zhixuan Liang,Yao Mu,Hengbo Ma,Masayoshi Tomizuka,Mingyu Ding,Ping Luo:
  SkillDiffuser: Interpretable Hierarchical Planning via Skill Abstractions in Diffusion-Based Task Execution.CVPR2024:16467-16476
• 
  [c207]
  Yutao Hu,Tianbin Li,Quanfeng Lu,Wenqi Shao,Junjun He,Yu Qiao,Ping Luo:
  OmniMedVQA: A New Large-Scale Comprehensive Evaluation Benchmark for Medical LVLM.CVPR2024:22170-22183
• 
  [c206]
  Zhe Chen,Jiannan Wu,Wenhai Wang,Weijie Su,Guo Chen,Sen Xing,Muyan Zhong,Qinglong Zhang,Xizhou Zhu,Lewei Lu,Bin Li,Ping Luo,Tong Lu,Yu Qiao,Jifeng Dai:
  Intern VL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks.CVPR2024:24185-24198
• 
  [c205]
  Shilong Zhang,Peize Sun,Shoufa Chen,Min Xiao,Wenqi Shao,Wenwei Zhang,Yu Liu,Kai Chen,Ping Luo:
  GPT4RoI: Instruction Tuning Large Language Model on Region-of-Interest.ECCV Workshops (8)2024:52-70
• 
  [c204]
  Junsong Chen,Chongjian Ge,Enze Xie,Yue Wu,Lewei Yao,Xiaozhe Ren,Zhongdao Wang,Ping Luo,Huchuan Lu,Zhenguo Li:
  PIXART-Σ: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation.ECCV (32)2024:74-91
• 
  [c203]
  Ruijie Yao,Sheng Jin,Lumin Xu,Wang Zeng,Wentao Liu,Chen Qian,Ping Luo,Ji Wu:
  GKGNet: Group K-Nearest Neighbor Based Graph Convolutional Network for Multi-label Image Recognition.ECCV (18)2024:91-107
• 
  [c202]
  Sheng Jin,Shuhuai Li,Tong Li,Wentao Liu,Chen Qian,Ping Luo:
  You Only Learn One Query: Learning Unified Human Query for Single-Stage Multi-person Multi-task Human-Centric Perception.ECCV (18)2024:126-146
• 
  [c201]
  Chonghao Sima,Katrin Renz,Kashyap Chitta,Li Chen,Hanxue Zhang,Chengen Xie,Jens Beißwenger,Ping Luo,Andreas Geiger,Hongyang Li:
  DriveLM: Driving with Graph Visual Question Answering.ECCV (52)2024:256-274
• 
  [c200]
  Yao Mu,Tianxing Chen,Shijia Peng,Zanxin Chen,Zeyu Gao,Yude Zou,Lunkai Lin,Zhiqiang Xie,Ping Luo:
  RoboTwin: Dual-Arm Robot Benchmark with Generative Digital Twins (Early Version).ECCV Workshops (8)2024:264-273
• 
  [c199]
  Jianhao Li,Tianyu Sun,Zhongdao Wang,Enze Xie,Bailan Feng,Hongbo Zhang,Ze Yuan,Ke Xu,Jiaheng Liu,Ping Luo:
  Segment, Lift and Fit: Automatic 3D Shape Labeling from 2D Prompts.ECCV (84)2024:407-423
• 
  [c198]
  Yi Zhang,Wang Zeng,Sheng Jin,Chen Qian,Ping Luo,Wentao Liu:
  When Pedestrian Detection Meets Multi-modal Learning: Generalist Model and Benchmark Dataset.ECCV (48)2024:430-448
• 
  [c197]
  Sheng Jin,Ruijie Yao,Lumin Xu,Wentao Liu,Chen Qian,Ji Wu,Ping Luo:
  UniFS: Universal Few-Shot Instance Perception with Point Representations.ECCV (29)2024:464-483
• 
  [c196]
  Yue Yang,Kaipeng Zhang,Yuying Ge,Wenqi Shao,Zeyue Xue,Yu Qiao,Ping Luo:
  Align, Adapt and Inject: Audio-Guided Image Generation, Editing and Stylization.ICASSP2024:3475-3479
• 
  [c195]
  Junsong Chen,Jincheng Yu,Chongjian Ge,Lewei Yao,Enze Xie,Zhongdao Wang,James T. Kwok,Ping Luo,Huchuan Lu,Zhenguo Li:
  PixArt-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis.ICLR2024
• 
  [c194]
  Mengkang Hu,Yao Mu,Xinmiao Yu,Mingyu Ding,Shiguang Wu,Wenqi Shao,Qiguang Chen,Bin Wang,Yu Qiao,Ping Luo:
  Tree-Planner: Efficient Close-loop Task Planning with Large Language Models.ICLR2024
• 
  [c193]
  Yuanfeng Ji,Chongjian Ge,Weikai Kong,Enze Xie,Zhengying Liu,Zhenguo Li,Ping Luo:
  Large Language Models as Automated Aligners for benchmarking Vision-Language Models.ICLR2024
• 
  [c192]
  Haoyu Lu,Guoxing Yang,Nanyi Fei,Yuqi Huo,Zhiwu Lu,Ping Luo,Mingyu Ding:
  VDT: General-purpose Video Diffusion Transformers via Mask Modeling.ICLR2024
• 
  [c191]
  Wenqi Shao,Mengzhao Chen,Zhaoyang Zhang,Peng Xu,Lirui Zhao,Zhiqian Li,Kaipeng Zhang,Peng Gao,Yu Qiao,Ping Luo:
  OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models.ICLR2024
• 
  [c190]
  Haopeng Sun,Lumin Xu,Sheng Jin,Ping Luo,Chen Qian,Wentao Liu:
  PROGRAM: PROtotype GRAph Model based Pseudo-Label Learning for Test-Time Adaptation.ICLR2024
• 
  [c189]
  Yi Wang,Yinan He,Yizhuo Li,Kunchang Li,Jiashuo Yu,Xin Ma,Xinhao Li,Guo Chen,Xinyuan Chen,Yaohui Wang,Ping Luo,Ziwei Liu,Yali Wang,Limin Wang,Yu Qiao:
  InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation.ICLR2024
• 
  [c188]
  Peng Xu,Wenqi Shao,Mengzhao Chen,Shitao Tang,Kaipeng Zhang,Peng Gao,Fengwei An,Yu Qiao,Ping Luo:
  BESA: Pruning Large Language Models with Blockwise Parameter-Efficient Sparsity Allocation.ICLR2024
• 
  [c187]
  Yao Mu,Junting Chen,Qinglong Zhang,Shoufa Chen,Qiaojun Yu,Chongjian Ge,Runjian Chen,Zhixuan Liang,Mengkang Hu,Chaofan Tao,Peize Sun,Haibao Yu,Chao Yang,Wenqi Shao,Wenhai Wang,Jifeng Dai,Yu Qiao,Mingyu Ding,Ping Luo:
  RoboCodeX: Multimodal Code Generation for Robotic Behavior Synthesis.ICML2024:36434-36454
• 
  [c186]
  Shuo Yang,Zhe Cao,Sheng Guo,Ruiheng Zhang,Ping Luo,Shengping Zhang,Liqiang Nie:
  Mind the Boundary: Coreset Selection via Reconstructing the Decision Boundary.ICML2024:55948-55960
• 
  [c185]
  Yue Yang,Yuqi Lin,Hong Liu,Wenqi Shao,Runjian Chen,Hailong Shang,Yu Wang,Yu Qiao,Kaipeng Zhang,Ping Luo:
  Position: Towards Implicit Prompt For Text-To-Image Models.ICML2024:56235-56250
• 
  [c184]
  Kaining Ying,Fanqing Meng,Jin Wang,Zhiqian Li,Han Lin,Yue Yang,Hao Zhang,Wenbo Zhang,Yuqi Lin,Shuo Liu,Jiayi Lei,Quanfeng Lu,Runjian Chen,Peng Xu,Renrui Zhang,Haozhe Zhang,Peng Gao,Yali Wang,Yu Qiao,Ping Luo,Kaipeng Zhang,Wenqi Shao:
  MMT-Bench: A Comprehensive Multimodal Benchmark for Evaluating Large Vision-Language Models Towards Multitask AGI.ICML2024:57116-57198
• 
  [c183]
  Qingwen Bu,Jia Zeng,Li Chen,Yanchao Yang,Guyue Zhou,Junchi Yan,Ping Luo,Heming Cui,Yi Ma,Hongyang Li:
  Closed-Loop Visuomotor Control with Generative Expectation for Robotic Manipulation.NeurIPS2024
• 
  [c182]
  Yao Lai,Jinxin Liu,David Z. Pan,Ping Luo:
  Scalable and Effective Arithmetic Tree Generation for Adder and Multiplier Designs.NeurIPS2024
• 
  [c181]
  Chuanhao Li,Zhen Li,Chenchen Jing,Shuo Liu,Wenqi Shao,Yuwei Wu,Ping Luo,Yu Qiao,Kaipeng Zhang:
  SearchLVLMs: A Plug-and-Play Framework for Augmenting Large Vision-Language Models by Searching Up-to-Date Internet Knowledge.NeurIPS2024
• 
  [c180]
  Shuo Liu,Kaining Ying,Hao Zhang,Yue Yang,Yuqi Lin,Tianle Zhang,Chuanhao Li,Yu Qiao,Ping Luo,Wenqi Shao,Kaipeng Zhang:
  ConvBench: A Multi-Turn Conversation Evaluation Benchmark with Hierarchical Ablation Capability for Large Vision-Language Models.NeurIPS2024
• 
  [c179]
  Chaofan Tao,Qian Liu,Longxu Dou,Niklas Muennighoff,Zhongwei Wan,Ping Luo,Min Lin,Ngai Wong:
  Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies.NeurIPS2024
• 
  [c178]
  Weiyun Wang,Shuibo Zhang,Yiming Ren,Yuchen Duan,Tiantong Li,Shuo Liu,Mengkang Hu,Zhe Chen,Kaipeng Zhang,Lewei Lu,Xizhou Zhu,Ping Luo,Yu Qiao,Jifeng Dai,Wenqi Shao,Wenhai Wang:
  Needle In A Multimodal Haystack.NeurIPS2024
• 
  [c177]
  Jiannan Wu,Muyan Zhong,Sen Xing,Zeqiang Lai,Zhaoyang Liu,Zhe Chen,Wenhai Wang,Xizhou Zhu,Lewei Lu,Tong Lu,Ping Luo,Yu Qiao,Jifeng Dai:
  VisionLLM v2: An End-to-End Generalist Multimodal Large Language Model for Hundreds of Vision-Language Tasks.NeurIPS2024
• 
  [c176]
  Tianle Zhang,Langtian Ma,Yuchen Yan,Yuchen Zhang,Yue Yang,Ziyao Guo,Wenqi Shao,Kai Wang,Yang You,Yu Qiao,Ping Luo,Kaipeng Zhang:
  Rethinking Human Evaluation Protocol for Text-to-Video Models: Enhancing Reliability, Reproducibility, and Practicality.NeurIPS2024
• 
  [c175]
  Jie Zhu,Yixiong Chen,Mingyu Ding,Ping Luo,Leye Wang,Jingdong Wang:
  MoLE: Enhancing Human-centric Text-to-image Diffusion via Mixture of Low-rank Experts.NeurIPS2024
• 
  [c174]
  Jia Zeng,Qingwen Bu,Bangjun Wang,Wenke Xia,Li Chen,Hao Dong,Haoming Song,Dong Wang,Di Hu,Ping Luo,Heming Cui,Bin Zhao,Xuelong Li,Yu Qiao,Hongyang Li:
  Learning Manipulation by Predicting Interaction.Robotics: Science and Systems2024
• 
  [c173]
  Anran Liu,Cheng Lin,Yuan Liu,Xiaoxiao Long,Zhiyang Dou,Hao-Xiang Guo,Ping Luo,Wenping Wang:
  Part123: Part-aware 3D Reconstruction from a Single-view Image.SIGGRAPH (Conference Paper Track)2024:24
• 
  [c172]
  Zhouxia Wang,Ziyang Yuan,Xintao Wang,Yaowei Li,Tianshui Chen,Menghan Xia,Ping Luo,Ying Shan:
  MotionCtrl: A Unified and Flexible Motion Controller for Video Generation.SIGGRAPH (Conference Paper Track)2024:114
• 
  [i282]
  Fanqing Meng,Wenqi Shao,Quanfeng Lu,Peng Gao,Kaipeng Zhang,Yu Qiao,Ping Luo:
  ChartAssisstant: A Universal Chart Multimodal Language Model via Chart-to-Table Pre-training and Multitask Instruction Tuning.CoRRabs/2401.02384 (2024)
• 
  [i281]
  Chengyue Wu,Yukang Gan,Yixiao Ge,Zeyu Lu,Jiahao Wang,Ye Feng,Ping Luo,Ying Shan:
  LLaMA Pro: Progressive LLaMA with Block Expansion.CoRRabs/2401.02415 (2024)
• 
  [i280]
  Junsong Chen,Yue Wu,Simian Luo,Enze Xie,Sayak Paul,Ping Luo,Hang Zhao,Zhenguo Li:
  PIXART-δ: Fast and Controllable Image Generation with Latent Consistency Models.CoRRabs/2401.05252 (2024)
• 
  [i279]
  Yutao Hu,Tianbin Li,Quanfeng Lu,Wenqi Shao,Junjun He,Yu Qiao,Ping Luo:
  OmniMedVQA: A New Large-Scale Comprehensive Evaluation Benchmark for Medical LVLM.CoRRabs/2402.09181 (2024)
• 
  [i278]
  Junting Chen,Yao Mu,Qiaojun Yu,Tianming Wei,Silang Wu,Zhecheng Yuan,Zhixuan Liang,Chao Yang,Kaipeng Zhang,Wenqi Shao,Yu Qiao,Huazhe Xu,Mingyu Ding,Ping Luo:
  RoboScript: Code Generation for Free-Form Manipulation Tasks across Real and Simulation.CoRRabs/2402.14623 (2024)
• 
  [i277]
  Zekang Yang,Wang Zeng,Sheng Jin,Chen Qian,Ping Luo,Wentao Liu:
  AutoMMLab: Automatically Generating Deployable Models from Language Instructions for Computer Vision Tasks.CoRRabs/2402.15351 (2024)
• 
  [i276]
  Yao Mu,Junting Chen,Qinglong Zhang,Shoufa Chen,Qiaojun Yu,Chongjian Ge,Runjian Chen,Zhixuan Liang,Mengkang Hu,Chaofan Tao,Peize Sun,Haibao Yu,Chao Yang,Wenqi Shao,Wenhai Wang,Jifeng Dai,Yu Qiao,Mingyu Ding,Ping Luo:
  RoboCodeX: Multimodal Code Generation for Robotic Behavior Synthesis.CoRRabs/2402.16117 (2024)
• 
  [i275]
  Peng Xu,Wenqi Shao,Mengzhao Chen,Shitao Tang,Kaipeng Zhang,Peng Gao,Fengwei An,Yu Qiao,Ping Luo:
  BESA: Pruning Large Language Models with Blockwise Parameter-Efficient Sparsity Allocation.CoRRabs/2402.16880 (2024)
• 
  [i274]
  Yue Yang,Yuqi Lin,Hong Liu,Wenqi Shao,Runjian Chen,Hailong Shang,Yu Wang,Yu Qiao,Kaipeng Zhang,Ping Luo:
  Towards Implicit Prompt For Text-To-Image Models.CoRRabs/2403.02118 (2024)
• 
  [i273]
  Qiushan Guo,Shalini De Mello,Hongxu Yin,Wonmin Byeon,Ka Chun Cheung,Yizhou Yu,Ping Luo,Sifei Liu:
  RegionGPT: Towards Region Understanding Vision Language Model.CoRRabs/2403.02330 (2024)
• 
  [i272]
  Junsong Chen,Chongjian Ge,Enze Xie,Yue Wu,Lewei Yao,Xiaozhe Ren,Zhongdao Wang,Ping Luo,Huchuan Lu,Zhenguo Li:
  PixArt-Σ: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation.CoRRabs/2403.04692 (2024)
• 
  [i271]
  Hao Zhang,Wenqi Shao,Hong Liu,Yongqiang Ma,Ping Luo,Yu Qiao,Kaipeng Zhang:
  AVIBench: Towards Evaluating the Robustness of Large Vision-Language Model on Adversarial Visual-Instructions.CoRRabs/2403.09346 (2024)
• 
  [i270]
  Jiazhi Yang,Shenyuan Gao,Yihang Qiu,Li Chen,Tianyu Li,Bo Dai,Kashyap Chitta,Penghao Wu,Jia Zeng,Ping Luo,Jun Zhang,Andreas Geiger,Yu Qiao,Hongyang Li:
  Generalized Predictive Model for Autonomous Driving.CoRRabs/2403.09630 (2024)
• 
  [i269]
  Tianqi Wang,Enze Xie,Ruihang Chu,Zhenguo Li,Ping Luo:
  DriveCoT: Integrating Chain-of-Thought Reasoning with End-to-End Driving.CoRRabs/2403.16996 (2024)
• 
  [i268]
  Shilong Zhang,Lianghua Huang,Xi Chen,Yifei Zhang,Zhi-Fan Wu,Yutong Feng,Wei Wang,Yujun Shen,Yu Liu,Ping Luo:
  FlashFace: Human Image Personalization with High-fidelity Identity Preservation.CoRRabs/2403.17008 (2024)
• 
  [i267]
  Shuo Liu,Kaining Ying,Hao Zhang,Yue Yang,Yuqi Lin,Tianle Zhang,Chuanhao Li,Yu Qiao,Ping Luo,Wenqi Shao,Kaipeng Zhang:
  ConvBench: A Multi-Turn Conversation Evaluation Benchmark with Hierarchical Capability for Large Vision-Language Models.CoRRabs/2403.20194 (2024)
• 
  [i266]
  Haibao Yu,Wenxian Yang,Jiaru Zhong,Zhenwei Yang,Siqi Fan,Ping Luo,Zaiqing Nie:
  End-to-End Autonomous Driving through V2X Cooperation.CoRRabs/2404.00717 (2024)
• 
  [i265]
  Lirui Zhao,Yue Yang,Kaipeng Zhang,Wenqi Shao,Yuxin Zhang,Yu Qiao,Ping Luo,Rongrong Ji:
  DiffAgent: Fast and Accurate Text-to-Image API Selection with Large Language Model.CoRRabs/2404.01342 (2024)
• 
  [i264]
  Jiahao Wang,Wenqi Shao,Mengzhao Chen,Chengyue Wu,Yong Liu,Kaipeng Zhang,Songyang Zhang,Kai Chen,Ping Luo:
  Adapting LLaMA Decoder to Vision Transformer.CoRRabs/2404.06773 (2024)
• 
  [i263]
  Kaining Ying,Fanqing Meng,Jin Wang,Zhiqian Li,Han Lin,Yue Yang,Hao Zhang,Wenbo Zhang,Yuqi Lin,Shuo Liu,Jiayi Lei,Quanfeng Lu,Runjian Chen,Peng Xu,Renrui Zhang,Haozhe Zhang,Peng Gao,Yali Wang,Yu Qiao,Ping Luo,Kaipeng Zhang,Wenqi Shao:
  MMT-Bench: A Comprehensive Multimodal Benchmark for Evaluating Large Vision-Language Models Towards Multitask AGI.CoRRabs/2404.16006 (2024)
• 
  [i262]
  Sheng Jin,Ruijie Yao,Lumin Xu,Wentao Liu,Chen Qian,Ji Wu,Ping Luo:
  UniFS: Universal Few-shot Instance Perception with Point Representations.CoRRabs/2404.19401 (2024)
• 
  [i261]
  Yao Lai,Jinxin Liu,David Z. Pan,Ping Luo:
  Scalable and Effective Arithmetic Tree Generation for Adder and Multiplier Designs.CoRRabs/2405.06758 (2024)
• 
  [i260]
  Chengyue Wu,Yixiao Ge,Qiushan Guo,Jiahao Wang,Zhixuan Liang,Zeyu Lu,Ying Shan,Ping Luo:
  Plot2Code: A Comprehensive Benchmark for Evaluating Multi-modal Large Language Models in Code Generation from Scientific Plots.CoRRabs/2405.07990 (2024)
• 
  [i259]
  Mengkang Hu,Haoyu Dong,Ping Luo,Shi Han,Dongmei Zhang:
  KET-QA: A Dataset for Knowledge Enhanced Table Question Answering.CoRRabs/2405.08099 (2024)
• 
  [i258]
  Chuanhao Li,Zhen Li,Chenchen Jing,Shuo Liu,Wenqi Shao,Yuwei Wu,Ping Luo,Yu Qiao,Kaipeng Zhang:
  UDKAG: Augmenting Large Vision-Language Models with Up-to-Date Knowledge.CoRRabs/2405.14554 (2024)
• 
  [i257]
  Yao Lai,Sungyoung Lee,Guojin Chen,Souradip Poddar,Mengkang Hu,David Z. Pan,Ping Luo:
  AnalogCoder: Analog Circuit Design via Training-Free Code Generation.CoRRabs/2405.14918 (2024)
• 
  [i256]
  Anran Liu,Cheng Lin,Yuan Liu,Xiaoxiao Long,Zhiyang Dou,Hao-Xiang Guo,Ping Luo,Wenping Wang:
  Part123: Part-aware 3D Reconstruction from a Single-view Image.CoRRabs/2405.16888 (2024)
• 
  [i255]
  Jia Zeng,Qingwen Bu,Bangjun Wang,Wenke Xia,Li Chen,Hao Dong,Haoming Song,Dong Wang,Di Hu,Ping Luo,Heming Cui,Bin Zhao,Xuelong Li,Yu Qiao,Hongyang Li:
  Learning Manipulation by Predicting Interaction.CoRRabs/2406.00439 (2024)
• 
  [i254]
  Peize Sun,Yi Jiang,Shoufa Chen,Shilong Zhang,Bingyue Peng,Ping Luo,Zehuan Yuan:
  Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation.CoRRabs/2406.06525 (2024)
• 
  [i253]
  Weiyun Wang,Shuibo Zhang,Yiming Ren,Yuchen Duan,Tiantong Li,Shuo Liu,Mengkang Hu,Zhe Chen,Kaipeng Zhang,Lewei Lu,Xizhou Zhu,Ping Luo,Yu Qiao,Jifeng Dai,Wenqi Shao,Wenhai Wang:
  Needle In A Multimodal Haystack.CoRRabs/2406.07230 (2024)
• 
  [i252]
  Jiannan Wu,Muyan Zhong,Sen Xing,Zeqiang Lai,Zhaoyang Liu,Wenhai Wang,Zhe Chen,Xizhou Zhu,Lewei Lu,Tong Lu,Ping Luo,Yu Qiao,Jifeng Dai:
  VisionLLM v2: An End-to-End Generalist Multimodal Large Language Model for Hundreds of Vision-Language Tasks.CoRRabs/2406.08394 (2024)
• 
  [i251]
  Quanfeng Lu,Wenqi Shao,Zitao Liu,Fanqing Meng,Boxuan Li,Botong Chen,Siyuan Huang,Kaipeng Zhang,Yu Qiao,Ping Luo:
  GUI Odyssey: A Comprehensive Dataset for Cross-App GUI Navigation on Mobile Devices.CoRRabs/2406.08451 (2024)
• 
  [i250]
  Tianle Zhang,Langtian Ma,Yuchen Yan,Yuchen Zhang,Kai Wang,Yue Yang,Ziyao Guo,Wenqi Shao,Yang You,Yu Qiao,Ping Luo,Kaipeng Zhang:
  Rethinking Human Evaluation Protocol for Text-to-Video Models: Enhancing Reliability, Reproducibility, and Practicality.CoRRabs/2406.08845 (2024)
• 
  [i249]
  Zeyu Gao,Yao Mu,Jinye Qu,Mengkang Hu,Lingyue Guo,Ping Luo,Yanfeng Lu:
  DAG-Plan: Generating Directed Acyclic Dependency Graphs for Dual-Arm Cooperative Planning.CoRRabs/2406.09953 (2024)
• 
  [i248]
  Fanqing Meng,Wenqi Shao,Lixin Luo,Yahong Wang,Yiran Chen,Quanfeng Lu,Yue Yang,Tianshuo Yang,Kaipeng Zhang,Yu Qiao,Ping Luo:
  PhyBench: A Physical Commonsense Benchmark for Evaluating Text-to-Image Models.CoRRabs/2406.11802 (2024)
• 
  [i247]
  Yatai Ji,Shilong Zhang,Jie Wu,Peize Sun,Weifeng Chen,Xuefeng Xiao,Sidi Yang,Yujiu Yang,Ping Luo:
  IDA-VLM: Towards Movie Understanding via ID-Aware Large Vision-Language Model.CoRRabs/2407.07577 (2024)
• 
  [i246]
  Yi Zhang,Wang Zeng,Sheng Jin,Chen Qian,Ping Luo,Wentao Liu:
  When Pedestrian Detection Meets Multi-Modal Learning: Generalist Model and Benchmark Dataset.CoRRabs/2407.10125 (2024)
• 
  [i245]
  Mengzhao Chen,Wenqi Shao,Peng Xu,Jiahao Wang,Peng Gao,Kaipeng Zhang,Yu Qiao,Ping Luo:
  EfficientQAT: Efficient Quantization-Aware Training for Large Language Models.CoRRabs/2407.11062 (2024)
• 
  [i244]
  Wang Zeng,Sheng Jin,Lumin Xu,Wentao Liu,Chen Qian,Wanli Ouyang,Ping Luo,Xiaogang Wang:
  TCFormer: Visual Recognition via Token Clustering Transformer.CoRRabs/2407.11321 (2024)
• 
  [i243]
  Jianhao Li,Tianyu Sun,Zhongdao Wang,Enze Xie,Bailan Feng,Hongbo Zhang,Ze Yuan,Ke Xu,Jiaheng Liu,Ping Luo:
  Segment, Lift and Fit: Automatic 3D Shape Labeling from 2D Prompts.CoRRabs/2407.11382 (2024)
• 
  [i242]
  Chaofan Tao,Qian Liu,Longxu Dou,Niklas Muennighoff,Zhongwei Wan,Ping Luo,Min Lin,Ngai Wong:
  Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies.CoRRabs/2407.13623 (2024)
• 
  [i241]
  Lirui Zhao,Tianshuo Yang,Wenqi Shao,Yuxin Zhang,Yu Qiao,Ping Luo,Kaipeng Zhang,Rongrong Ji:
  Diffree: Text-Guided Shape Free Object Inpainting with Diffusion Model.CoRRabs/2407.16982 (2024)
• 
  [i240]
  Mengkang Hu,Pu Zhao,Can Xu,Qingfeng Sun,Jianguang Lou,Qingwei Lin,Ping Luo,Saravan Rajmohan,Dongmei Zhang:
  AgentGen: Enhancing Planning Abilities for Large Language Model based Agent via Environment and Task Generation.CoRRabs/2408.00764 (2024)
• 
  [i239]
  Fanqing Meng,Jin Wang,Chuanhao Li,Quanfeng Lu,Hao Tian,Jiaqi Liao,Xizhou Zhu,Jifeng Dai,Yu Qiao,Ping Luo,Kaipeng Zhang,Wenqi Shao:
  MMIU: Multimodal Multi-image Understanding for Evaluating Large Vision-Language Models.CoRRabs/2408.02718 (2024)
• 
  [i238]
  Mengkang Hu,Tianxing Chen,Qiguang Chen,Yao Mu,Wenqi Shao,Ping Luo:
  HiAgent: Hierarchical Working Memory Management for Solving Long-Horizon Agent Tasks with Large Language Model.CoRRabs/2408.09559 (2024)
• 
  [i237]
  Yangyang Xu,Wenqi Shao,Yong Du,Haiming Zhu,Yang Zhou,Ping Luo,Shengfeng He:
  Task-Oriented Diffusion Inversion for High-Fidelity Text-based Editing.CoRRabs/2408.13395 (2024)
• 
  [i236]
  Yao Mu,Tianxing Chen,Shijia Peng,Zanxin Chen,Zeyu Gao,Yude Zou,Lunkai Lin,Zhiqiang Xie,Ping Luo:
  RoboTwin: Dual-Arm Robot Benchmark with Generative Digital Twins (early version).CoRRabs/2409.02920 (2024)
• 
  [i235]
  Qingwen Bu,Jia Zeng,Li Chen,Yanchao Yang,Guyue Zhou,Junchi Yan,Ping Luo,Heming Cui,Yi Ma,Hongyang Li:
  Closed-Loop Visuomotor Control with Generative Expectation for Robotic Manipulation.CoRRabs/2409.09016 (2024)
• 
  [i234]
  Xi Wang,Tianxing Chen,Qiaojun Yu,Tianling Xu,Zanxin Chen,Yiting Fu,Cewu Lu,Yao Mu,Ping Luo:
  Articulated Object Manipulation using Online Axis Estimation with SAM2-Based Tracking.CoRRabs/2409.16287 (2024)
• 
  [i233]
  Hao Zhang,Yongqiang Ma,Wenqi Shao,Ping Luo,Nanning Zheng,Kaipeng Zhang:
  HRVMamba: High-Resolution Visual State Space Model for Dense Prediction.CoRRabs/2410.03174 (2024)
• 
  [i232]
  Mengzhao Chen,Yi Liu,Jiahao Wang,Yi Bin,Wenqi Shao,Ping Luo:
  PrefixQuant: Static Quantization Beats Dynamic through Prefixed Outliers in LLMs.CoRRabs/2410.05265 (2024)
• 
  [i231]
  Fanqing Meng,Jiaqi Liao,Xinyu Tan,Wenqi Shao,Quanfeng Lu,Kaipeng Zhang,Yu Cheng,Dianqi Li,Yu Qiao,Ping Luo:
  Towards World Simulator: Crafting Physical Commonsense-Based Benchmark for Video Generation.CoRRabs/2410.05363 (2024)
• 
  [i230]
  Peng Xu,Wenqi Shao,Mingyu Ding,Ping Luo:
  DCP: Learning Accelerator Dataflow for Neural Network via Propagation.CoRRabs/2410.06553 (2024)
• 
  [i229]
  Yue Yang,Shuibai Zhang,Wenqi Shao,Kaipeng Zhang,Yi Bin,Yu Wang,Ping Luo:
  Dynamic Multimodal Evaluation with Flexible Complexity by Vision-Language Bootstrapping.CoRRabs/2410.08695 (2024)
• 
  [i228]
  Zhouxia Wang,Jiawei Zhang,Xintao Wang,Tianshui Chen,Ying Shan,Wenping Wang,Ping Luo:
  Analysis and Benchmarking of Extending Blind Face Image Restoration to Videos.CoRRabs/2410.11828 (2024)
• 
  [i227]
  Chengyue Wu,Xiaokang Chen,Zhiyu Wu,Yiyang Ma,Xingchao Liu,Zizheng Pan,Wen Liu,Zhenda Xie,Xingkai Yu,Chong Ruan,Ping Luo:
  Janus: Decoupling Visual Encoding for Unified Multimodal Understanding and Generation.CoRRabs/2410.13848 (2024)
• 
  [i226]
  Chongjian Ge,Chenfeng Xu,Yuanfeng Ji,Chensheng Peng,Masayoshi Tomizuka,Ping Luo,Mingyu Ding,Varun Jampani,Wei Zhan:
  CompGS: Unleashing 2D Compositionality for Compositional Text-to-3D via Dynamically Optimizing 3D Gaussians.CoRRabs/2410.20723 (2024)
• 
  [i225]
  Jie Zhu,Yixiong Chen,Mingyu Ding,Ping Luo,Leye Wang,Jingdong Wang:
  MoLE: Enhancing Human-centric Text-to-image Diffusion via Mixture of Low-rank Experts.CoRRabs/2410.23332 (2024)
• 
  [i224]
  Jing Xiong,Gongye Liu,Lun Huang,Chengyue Wu,Taiqiang Wu,Yao Mu,Yuan Yao,Hui Shen,Zhongwei Wan,Jinfa Huang,Chaofan Tao,Shen Yan,Huaxiu Yao,Lingpeng Kong,Hongxia Yang,Mi Zhang,Guillermo Sapiro,Jiebo Luo,Ping Luo,Ngai Wong:
  Autoregressive Models in Vision: A Survey.CoRRabs/2411.05902 (2024)
• 
  [i223]
  Junfeng Long,Junli Ren,Moji Shi,Zirui Wang,Tao Huang,Ping Luo,Jiangmiao Pang:
  Learning Humanoid Locomotion with Perceptive Internal Model.CoRRabs/2411.14386 (2024)
• 
  [i222]
  Tianxing Chen,Yao Mu,Zhixuan Liang,Zanxin Chen,Shijia Peng,Qiangyu Chen,Mingkun Xu,Ruizhen Hu,Hongyuan Zhang,Xuelong Li,Ping Luo:
  G3Flow: Generative 3D Semantic Flow for Pose-aware and Generalizable Object Manipulation.CoRRabs/2411.18369 (2024)
• 
  [i221]
  Zhixuan Liang,Yao Mu,Yixiao Wang,Fei Ni,Tianxing Chen,Wenqi Shao,Wei Zhan,Masayoshi Tomizuka,Ping Luo,Mingyu Ding:
  DexDiffuser: Interaction-aware Diffusion Planning for Adaptive Dexterous Manipulation.CoRRabs/2411.18562 (2024)
• 
  [i220]
  Runjian Chen,Hyoungseob Park,Bo Zhang,Wenqi Shao,Ping Luo,Alex Wong:
  TREND: Unsupervised 3D Representation Learning via Temporal Forecasting for LiDAR Perception.CoRRabs/2412.03054 (2024)
• 
  [i219]
  Runjian Chen,Hang Zhang,Avinash Ravichandran,Wenqi Shao,Alex Wong,Ping Luo:
  CLAP: Unsupervised 3D Representation Learning for Fusion 3D Perception via Curvature Sampling and Prototype Learning.CoRRabs/2412.03059 (2024)
• 
  [i218]
  Yizhuo Li,Yuying Ge,Yixiao Ge,Ping Luo,Ying Shan:
  DiCoDe: Diffusion-Compressed Deep Tokens for Autoregressive Video Generation with Language Models.CoRRabs/2412.04446 (2024)
• 
  [i217]
  Yatai Ji,Jiacheng Zhang,Jie Wu,Shilong Zhang,Shoufa Chen,Chongjian Ge,Peize Sun,Weifeng Chen,Wenqi Shao,Xuefeng Xiao,Weilin Huang,Ping Luo:
  Prompt-A-Video: Prompt Your Video Diffusion Model via Preference-Aligned LLM.CoRRabs/2412.15156 (2024)
• 
  [i216]
  Zekang Yang,Wang Zeng,Sheng Jin,Chen Qian,Ping Luo,Wentao Liu:
  NADER: Neural Architecture Design via Multi-Agent Collaboration.CoRRabs/2412.19206 (2024)
• 2023
• 
  [j24]
  Lumin Xu,Sheng Jin,Wentao Liu,Chen Qian,Wanli Ouyang,Ping Luo,Xiaogang Wang:
  ZoomNAS: Searching for Whole-Body Human Pose Estimation in the Wild.IEEE Trans. Pattern Anal. Mach. Intell.45(4):5296-5313 (2023)
• 
  [j23]
  Yiming Gao,Zhanghui Kuang,Guanbin Li,Ping Luo,Yimin Chen,Liang Lin,Wayne Zhang:
  Fashion Retrieval via Graph Reasoning Networks on a Similarity Pyramid.IEEE Trans. Pattern Anal. Mach. Intell.45(6):7019-7034 (2023)
• 
  [j22]
  Shoufa Chen,Enze Xie,Chongjian Ge,Runjian Chen,Ding Liang,Ping Luo:
  CycleMLP: A MLP-Like Architecture for Dense Visual Predictions.IEEE Trans. Pattern Anal. Mach. Intell.45(12):14284-14300 (2023)
• 
  [j21]
  Zhouxia Wang,Jiawei Zhang,Tianshui Chen,Wenping Wang,Ping Luo:
  RestoreFormer++: Towards Real-World Blind Face Restoration From Undegraded Key-Value Pairs.IEEE Trans. Pattern Anal. Mach. Intell.45(12):15462-15476 (2023)
• 
  [j20]
  Peize Sun,Rufeng Zhang,Yi Jiang,Tao Kong,Chenfeng Xu,Wei Zhan,Masayoshi Tomizuka,Zehuan Yuan,Ping Luo:
  Sparse R-CNN: An End-to-End Framework for Object Detection.IEEE Trans. Pattern Anal. Mach. Intell.45(12):15650-15664 (2023)
• 
  [j19]
  Qiang Zhai,Xin Li,Fan Yang,Zhicheng Jiao,Ping Luo,Hong Cheng,Zicheng Liu:
  MGL: Mutual Graph Learning for Camouflaged Object Detection.IEEE Trans. Image Process.32:1897-1910 (2023)
• 
  [j18]
  Jie Zhu,Jiyang Qi,Mingyu Ding,Xiaokang Chen,Ping Luo,Xinggang Wang,Wenyu Liu,Leye Wang,Jingdong Wang:
  Understanding Self-Supervised Pretraining with Part-Aware Representation Learning.Trans. Mach. Learn. Res.2023 (2023)
• 
  [j17]
  Hao Tan,Ran Cheng,Shihua Huang,Cheng He,Changxiao Qiu,Fan Yang,Ping Luo:
  RelativeNAS: Relative Neural Architecture Search via Slow-Fast Learning.IEEE Trans. Neural Networks Learn. Syst.34(1):475-489 (2023)
• 
  [c171]
  Yuanfeng Ji,Lu Zhang,Jiaxiang Wu,Bingzhe Wu,Lanqing Li,Long-Kai Huang,Tingyang Xu,Yu Rong,Jie Ren,Ding Xue,Houtim Lai,Wei Liu,Junzhou Huang,Shuigeng Zhou,Ping Luo,Peilin Zhao,Yatao Bian:
  DrugOOD: Out-of-Distribution Dataset Curator and Benchmark for AI-Aided Drug Discovery - a Focus on Affinity Prediction Problems with Noise Annotations.AAAI2023:8023-8031
• 
  [c170]
  Chaofan Tao,Lu Hou,Haoli Bai,Jiansheng Wei,Xin Jiang,Qun Liu,Ping Luo,Ngai Wong:
  Structured Pruning for Efficient Generative Pre-trained Language Models.ACL (Findings)2023:10880-10895
• 
  [c169]
  Haibao Yu,Wenxian Yang,Hongzhi Ruan,Zhenwei Yang,Yingjuan Tang,Xu Gao,Xin Hao,Yifeng Shi,Yifeng Pan,Ning Sun,Juan Song,Jirui Yuan,Ping Luo,Zaiqing Nie:
  V2X-Seq: A Large-Scale Sequential Dataset for Vehicle-Infrastructure Cooperative Perception and Forecasting.CVPR2023:5486-5495
• 
  [c168]
  Yao Mu,Shunyu Yao,Mingyu Ding,Ping Luo,Chuang Gan:
  EC²: Emergent Communication for Embodied Control.CVPR2023:6704-6714
• 
  [c167]
  Shilong Zhang,Xinjiang Wang,Jiaqi Wang,Jiangmiao Pang,Chengqi Lyu,Wenwei Zhang,Ping Luo,Kai Chen:
  Dense Distinct Query for End-to-End Object Detection.CVPR2023:7329-7338
• 
  [c166]
  Zhaoyang Zhang,Yitong Jiang,Wenqi Shao,Xiaogang Wang,Ping Luo,Kaimo Lin,Jinwei Gu:
  Real-Time Controllable Denoising for Image and Video.CVPR2023:14028-14038
• 
  [c165]
  Jiahao Wang,Songyang Zhang,Yong Liu,Taiqiang Wu,Yujiu Yang,Xihui Liu,Kai Chen,Ping Luo,Dahua Lin:
  RIFormer: Keep Your Vision Backbone Effective But Removing Token Mixer.CVPR2023:14443-14452
• 
  [c164]
  Mingyu Ding,Yikang Shen,Lijie Fan,Zhenfang Chen,Zitian Chen,Ping Luo,Joshua B. Tenenbaum,Chuang Gan:
  Visual Dependency Transformers: Dependency Tree Emerges from Reversed Attention.CVPR2023:14528-14539
• 
  [c163]
  Bin Yan,Yi Jiang,Jiannan Wu,Dong Wang,Ping Luo,Zehuan Yuan,Huchuan Lu:
  Universal Instance Perception as Object Discovery and Retrieval.CVPR2023:15325-15336
• 
  [c162]
  Yuying Ge,Annabella Macaluso,Li Erran Li,Ping Luo,Xiaolong Wang:
  Policy Adaptation from Foundation Model Feedback.CVPR2023:19059-19069
• 
  [c161]
  Ziyun Zeng,Yuying Ge,Xihui Liu,Bin Chen,Ping Luo,Shu-Tao Xia,Yixiao Ge:
  Learning Transferable Spatiotemporal Representations from Natural Script Knowledge.CVPR2023:23079-23089
• 
  [c160]
  Teng Wang,Yixiao Ge,Feng Zheng,Ran Cheng,Ying Shan,Xiaohu Qie,Ping Luo:
  Accelerating Vision-Language Pretraining with Free Language Modeling.CVPR2023:23161-23170
• 
  [c159]
  Jiannan Wu,Yi Jiang,Bin Yan,Huchuan Lu,Zehuan Yuan,Ping Luo:
  Segment Every Reference Object in Spatial and Temporal Spaces.ICCV2023:2538-2550
• 
  [c158]
  Yutao Hu,Qixiong Wang,Wenqi Shao,Enze Xie,Zhenguo Li,Jungong Han,Ping Luo:
  Beyond One-to-One: Rethinking the Referring Image Segmentation.ICCV2023:4044-4054
• 
  [c157]
  Jiannan Wu,Yi Jiang,Bin Yan,Huchuan Lu,Zehuan Yuan,Ping Luo:
  Exploring Transformers for Open-world Instance Segmentation.ICCV2023:6588-6598
• 
  [c156]
  Wenwen Tong,Chonghao Sima,Tai Wang,Li Chen,Silei Wu,Hanming Deng,Yi Gu,Lewei Lu,Ping Luo,Dahua Lin,Hongyang Li:
  Scene as Occupancy.ICCV2023:8372-8381
• 
  [c155]
  Chongjian Ge,Junsong Chen,Enze Xie,Zhongdao Wang,Lanqing Hong,Huchuan Lu,Zhenguo Li,Ping Luo:
  MetaBEV: Solving Sensor Failures for 3D Detection and Map Segmentation.ICCV2023:8687-8697
• 
  [c154]
  Yangyang Xu,Shengfeng He,Kwan-Yee K. Wong,Ping Luo:
  RIGID: Recurrent GAN Inversion and Editing of Real Face Videos.ICCV2023:13645-13655
• 
  [c153]
  Peize Sun,Shoufa Chen,Chenchen Zhu,Fanyi Xiao,Ping Luo,Saining Xie,Zhicheng Yan:
  Going Denser with Open-Vocabulary Part Segmentation.ICCV2023:15407-15419
• 
  [c152]
  Mengzhao Chen,Wenqi Shao,Peng Xu,Mingbao Lin,Kaipeng Zhang,Fei Chao,Rongrong Ji,Yu Qiao,Ping Luo:
  DiffRate : Differentiable Compression Rate for Efficient Vision Transformers.ICCV2023:17118-17128
• 
  [c151]
  Shoufa Chen,Peize Sun,Yibing Song,Ping Luo:
  DiffusionDet: Diffusion Model for Object Detection.ICCV2023:19773-19786
• 
  [c150]
  Yuanfeng Ji,Zhe Chen,Enze Xie,Lanqing Hong,Xihui Liu,Zhaoqiang Liu,Tong Lu,Zhenguo Li,Ping Luo:
  DDP: Diffusion Model for Dense Visual Prediction.ICCV2023:21684-21695
• 
  [c149]
  Qiushan Guo,Chuofan Ma,Yi Jiang,Zehuan Yuan,Yizhou Yu,Ping Luo:
  EGC: Image Generation and Classification via a Diffusion Energy-Based Model.ICCV2023:22895-22905
• 
  [c148]
  Matej Kristan,Jirí Matas,Martin Danelljan,Michael Felsberg,Hyung Jin Chang,Luka Cehovin Zajc,Alan Lukezic,Ondrej Drbohlav,Zhongqun Zhang,Khanh-Tung Tran,Xuan-Son Vu,Johanna Björklund,Christoph Mayer,Yushan Zhang,Lei Ke,Jie Zhao,Gustavo Fernández,Noor Al-Shakarji,Dong An,Michael Arens,Stefan Becker,Goutam Bhat,Sebastian Bullinger,Antoni B. Chan,Shijie Chang,Hanyuan Chen,Xin Chen,Yan Chen,Zhenyu Chen,Yangming Cheng,Yutao Cui,Chunyuan Deng,Jiahua Dong,Matteo Dunnhofer,Wei Feng,Jianlong Fu,Jie Gao,Ruize Han,Zeqi Hao,Jun-Yan He,Keji He,Zhenyu He,Xiantao Hu,Kaer Huang,Yuqing Huang,Yi Jiang,Ben Kang,Jin-Peng Lan,Hyungjun Lee,Chenyang Li,Jiahao Li,Ning Li,Wangkai Li,Xiaodi Li,Xin Li,Pengyu Liu,Yue Liu,Huchuan Lu,Bin Luo,Ping Luo,Yinchao Ma,Deshui Miao,Christian Micheloni,Kannappan Palaniappan,Hancheol Park,Matthieu Paul,Houwen Peng,Zekun Qian,Gani Rahmon,Norbert Scherer-Negenborn,Pengcheng Shao,Wooksu Shin,Elham Soltani Kazemi,Tianhui Song,Rainer Stiefelhagen,Rui Sun,Chuanming Tang,Zhangyong Tang,Imad Eddine Toubal,Jack Valmadre,Joost van de Weijer,Luc Van Gool,Jash Vira,Stéphane Vujasinovic,Cheng Wan,Jia Wan,Dong Wang,Fei Wang,Feifan Wang,He Wang,Limin Wang,Song Wang,Yaowei Wang,Zhepeng Wang,Gangshan Wu,Jiannan Wu,Qiangqiang Wu,Xiaojun Wu,Anqi Xiao,Jinxia Xie,Chenlong Xu,Min Xu,Tianyang Xu,Yuanyou Xu,Bin Yan,Dawei Yang,Ming-Hsuan Yang,Tianyu Yang,Yi Yang,Zongxin Yang,Xuanwu Yin,Fisher Yu,Hongyuan Yu,Qianjin Yu,Weichen Yu,Yongsheng Yuan,Zehuan Yuan,Jianlin Zhang,Lu Zhang,Tianzhu Zhang,Guodongfang Zhao,Shaochuan Zhao,Yaozong Zheng,Bineng Zhong,Jiawen Zhu,Xuefeng Zhu,Yueting Zhuang,ChengAo Zong,Kunlong Zuo:
  The First Visual Object Tracking Segmentation VOTS2023 Challenge Results.ICCV (Workshops)2023:1788-1810
• 
  [c147]
  Runjian Chen,Yao Mu,Runsen Xu,Wenqi Shao,Chenhan Jiang,Hang Xu,Yu Qiao,Zhenguo Li,Ping Luo:
  CO3: Cooperative Unsupervised 3D Representation Learning for Autonomous Driving.ICLR2023
• 
  [c146]
  Chongjian Ge,Jiangliu Wang,Zhan Tong,Shoufa Chen,Yibing Song,Ping Luo:
  Soft Neighbors are Positive Supporters in Contrastive Visual Representation Learning.ICLR2023
• 
  [c145]
  Chuang Lin,Peize Sun,Yi Jiang,Ping Luo,Lizhen Qu,Gholamreza Haffari,Zehuan Yuan,Jianfei Cai:
  Learning Object-Language Alignments for Open-Vocabulary Object Detection.ICLR2023
• 
  [c144]
  Yao Lai,Jinxin Liu,Zhentao Tang,Bin Wang,Jianye Hao,Ping Luo:
  ChiPFormer: Transferable Chip Placement via Offline Decision Transformer.ICML2023:18346-18364
• 
  [c143]
  Zhixuan Liang,Yao Mu,Mingyu Ding,Fei Ni,Masayoshi Tomizuka,Ping Luo:
  AdaptDiffuser: Diffusion Models as Adaptive Self-evolving Planners.ICML2023:20725-20745
• 
  [c142]
  Chengyue Wu,Teng Wang,Yixiao Ge,Zeyu Lu,Ruisong Zhou,Ying Shan,Ping Luo:
  π-Tuning: Transferring Multimodal Foundation Models with Optimal Multi-task Interpolation.ICML2023:37713-37727
• 
  [c141]
  Yao Mu,Zhiqian Lan,Chen Chen,Chang Liu,Ping Luo,Shengbo Eben Li:
  Neural MPC-Based Decision-Making Framework for Autonomous Driving in Multi-Lane Roundabout.ITSC2023:5403-5409
• 
  [c140]
  Fanqing Meng,Wenqi Shao,Zhanglin Peng,Chonghe Jiang,Kaipeng Zhang,Yu Qiao,Ping Luo:
  Foundation Model is Efficient Multimodal Multitask Model Selector.NeurIPS2023
• 
  [c139]
  Yao Mu,Qinglong Zhang,Mengkang Hu,Wenhai Wang,Mingyu Ding,Jun Jin,Bin Wang,Jifeng Dai,Yu Qiao,Ping Luo:
  EmbodiedGPT: Vision-Language Pre-Training via Embodied Chain of Thought.NeurIPS2023
• 
  [c138]
  Wenhai Wang,Zhe Chen,Xiaokang Chen,Jiannan Wu,Xizhou Zhu,Gang Zeng,Ping Luo,Tong Lu,Jie Zhou,Yu Qiao,Jifeng Dai:
  VisionLLM: Large Language Model is also an Open-Ended Decoder for Vision-Centric Tasks.NeurIPS2023
• 
  [c137]
  Huijie Wang,Tianyu Li,Yang Li,Li Chen,Chonghao Sima,Zhenbo Liu,Bangjun Wang,Peijin Jia,Yuting Wang,Shengyin Jiang,Feng Wen,Hang Xu,Ping Luo,Junchi Yan,Wei Zhang,Hongyang Li:
  OpenLane-V2: A Topology Reasoning Benchmark for Unified 3D HD Mapping.NeurIPS2023
• 
  [c136]
  Zeyue Xue,Guanglu Song,Qiushan Guo,Boxiao Liu,Zhuofan Zong,Yu Liu,Ping Luo:
  RAPHAEL: Text-to-Image Generation via Large Mixture of Diffusion Paths.NeurIPS2023
• 
  [c135]
  Haibao Yu,Yingjuan Tang,Enze Xie,Jilei Mao,Ping Luo,Zaiqing Nie:
  Flow-Based Feature Fusion for Vehicle-Infrastructure Cooperative 3D Object Detection.NeurIPS2023
• 
  [i215]
  Bin Huang,Yangguang Li,Enze Xie,Feng Liang,Luya Wang,Mingzhu Shen,Fenggang Liu,Tianqi Wang,Ping Luo,Jing Shao:
  Fast-BEV: Towards Real-time On-vehicle Bird's-Eye View Perception.CoRRabs/2301.07870 (2023)
• 
  [i214]
  Jie Zhu,Jiyang Qi,Mingyu Ding,Xiaokang Chen,Ping Luo,Xinggang Wang,Wenyu Liu,Leye Wang,Jingdong Wang:
  Understanding Self-Supervised Pretraining with Part-Aware Representation Learning.CoRRabs/2301.11915 (2023)
• 
  [i213]
  Zhixuan Liang,Yao Mu,Mingyu Ding,Fei Ni,Masayoshi Tomizuka,Ping Luo:
  AdaptDiffuser: Diffusion Models as Adaptive Self-evolving Planners.CoRRabs/2302.01877 (2023)
• 
  [i212]
  Teng Wang,Jinrui Zhang,Feng Zheng,Wenhao Jiang,Ran Cheng,Ping Luo:
  Learning Grounded Vision-Language Representation for Versatile Understanding in Untrimmed Videos.CoRRabs/2303.06378 (2023)
• 
  [i211]
  Bin Yan,Yi Jiang,Jiannan Wu,Dong Wang,Ping Luo,Zehuan Yuan,Huchuan Lu:
  Universal Instance Perception as Object Discovery and Retrieval.CoRRabs/2303.06674 (2023)
• 
  [i210]
  Haibao Yu,Yingjuan Tang,Enze Xie,Jilei Mao,Jirui Yuan,Ping Luo,Zaiqing Nie:
  Vehicle-Infrastructure Cooperative 3D Object Detection via Feature Flow Prediction.CoRRabs/2303.10552 (2023)
• 
  [i209]
  Shilong Zhang,Xinjiang Wang,Jiaqi Wang,Jiangmiao Pang,Chengqi Lyu,Wenwei Zhang,Ping Luo,Kai Chen:
  Dense Distinct Query for End-to-End Object Detection.CoRRabs/2303.12776 (2023)
• 
  [i208]
  Teng Wang,Yixiao Ge,Feng Zheng,Ran Cheng,Ying Shan,Xiaohu Qie,Ping Luo:
  Accelerating Vision-Language Pretraining with Free Language Modeling.CoRRabs/2303.14038 (2023)
• 
  [i207]
  Zhaoyang Zhang,Yitong Jiang,Wenqi Shao,Xiaogang Wang,Ping Luo,Kaimo Lin,Jinwei Gu:
  Real-time Controllable Denoising for Image and Video.CoRRabs/2303.16425 (2023)
• 
  [i206]
  Chongjian Ge,Jiangliu Wang,Zhan Tong,Shoufa Chen,Yibing Song,Ping Luo:
  Soft Neighbors are Positive Supporters in Contrastive Visual Representation Learning.CoRRabs/2303.17142 (2023)
• 
  [i205]
  Yuanfeng Ji,Zhe Chen,Enze Xie,Lanqing Hong,Xihui Liu,Zhaoqiang Liu,Tong Lu,Zhenguo Li,Ping Luo:
  DDP: Diffusion Model for Dense Visual Prediction.CoRRabs/2303.17559 (2023)
• 
  [i204]
  Tianqi Wang,Sukmin Kim,Wenxuan Ji,Enze Xie,Chongjian Ge,Junsong Chen,Zhenguo Li,Ping Luo:
  DeepAccident: A Motion and Accident Prediction Benchmark for V2X Autonomous Driving.CoRRabs/2304.01168 (2023)
• 
  [i203]
  Qiushan Guo,Yizhou Yu,Yi Jiang,Jiannan Wu,Zehuan Yuan,Ping Luo:
  Multi-Level Contrastive Learning for Dense Prediction Task.CoRRabs/2304.02010 (2023)
• 
  [i202]
  Qiushan Guo,Chuofan Ma,Yi Jiang,Zehuan Yuan,Yizhou Yu,Ping Luo:
  EGC: Image Generation and Classification via a Diffusion Energy-Based Model.CoRRabs/2304.02012 (2023)
• 
  [i201]
  Mingyu Ding,Yikang Shen,Lijie Fan,Zhenfang Chen,Zitian Chen,Ping Luo,Joshua B. Tenenbaum,Chuang Gan:
  Visual Dependency Transformers: Dependency Tree Emerges from Reversed Attention.CoRRabs/2304.03282 (2023)
• 
  [i200]
  Mingyu Ding,Yan Xu,Zhenfang Chen,David Daniel Cox,Ping Luo,Joshua B. Tenenbaum,Chuang Gan:
  Embodied Concept Learner: Self-supervised Learning of Concepts and Mapping through Instruction Following.CoRRabs/2304.03767 (2023)
• 
  [i199]
  Tianyu Li,Li Chen,Xiangwei Geng,Huijie Wang,Yang Li,Zhenbo Liu,Shengyin Jiang,Yuting Wang,Hang Xu,Chunjing Xu,Feng Wen,Ping Luo,Junchi Yan,Wei Zhang,Xiaogang Wang,Yu Qiao,Hongyang Li:
  Topology Reasoning for Driving Scenes.CoRRabs/2304.05277 (2023)
• 
  [i198]
  Jiahao Wang,Songyang Zhang,Yong Liu,Taiqiang Wu,Yujiu Yang,Xihui Liu,Kai Chen,Ping Luo,Dahua Lin:
  RIFormer: Keep Your Vision Backbone Effective While Removing Token Mixer.CoRRabs/2304.05659 (2023)
• 
  [i197]
  Yao Mu,Shunyu Yao,Mingyu Ding,Ping Luo,Chuang Gan:
  EC^2: Emergent Communication for Embodied Control.CoRRabs/2304.09448 (2023)
• 
  [i196]
  Chongjian Ge,Junsong Chen,Enze Xie,Zhongdao Wang,Lanqing Hong,Huchuan Lu,Zhenguo Li,Ping Luo:
  MetaBEV: Solving Sensor Failures for BEV Detection and Map Segmentation.CoRRabs/2304.09801 (2023)
• 
  [i195]
  Huijie Wang,Zhenbo Liu,Yang Li,Tianyu Li,Li Chen,Chonghao Sima,Yuting Wang,Shengyin Jiang,Feng Wen,Hang Xu,Ping Luo,Junchi Yan,Wei Zhang,Jun Yao,Yu Qiao,Hongyang Li:
  Road Genome: A Topology Reasoning Benchmark for Scene Understanding in Autonomous Driving.CoRRabs/2304.10440 (2023)
• 
  [i194]
  Chengyue Wu,Teng Wang,Yixiao Ge,Zeyu Lu,Ruisong Zhou,Ying Shan,Ping Luo:
  π-Tuning: Transferring Multimodal Foundation Models with Optimal Multi-task Interpolation.CoRRabs/2304.14381 (2023)
• 
  [i193]
  Tao Gong,Chengqi Lyu,Shilong Zhang,Yudong Wang,Miao Zheng,Qian Zhao,Kuikun Liu,Wenwei Zhang,Ping Luo,Kai Chen:
  MultiModal-GPT: A Vision and Language Model for Dialogue with Humans.CoRRabs/2305.04790 (2023)
• 
  [i192]
  Zhaoyang Liu,Yinan He,Wenhai Wang,Weiyun Wang,Yi Wang,Shoufa Chen,Qinglong Zhang,Zeqiang Lai,Yang Yang,Qingyun Li,Jiashuo Yu,Kunchang Li,Zhe Chen,Xue Yang,Xizhou Zhu,Yali Wang,Limin Wang,Ping Luo,Jifeng Dai,Yu Qiao:
  InternGPT: Solving Vision-Centric Tasks by Interacting with Chatbots Beyond Language.CoRRabs/2305.05662 (2023)
• 
  [i191]
  Haibao Yu,Wenxian Yang,Hongzhi Ruan,Zhenwei Yang,Yingjuan Tang,Xu Gao,Xin Hao,Yifeng Shi,Yifeng Pan,Ning Sun,Juan Song,Jirui Yuan,Ping Luo,Zaiqing Nie:
  V2X-Seq: A Large-Scale Sequential Dataset for Vehicle-Infrastructure Cooperative Perception and Forecasting.CoRRabs/2305.05938 (2023)
• 
  [i190]
  Kunchang Li,Yinan He,Yi Wang,Yizhuo Li,Wenhai Wang,Ping Luo,Yali Wang,Limin Wang,Yu Qiao:
  VideoChat: Chat-Centric Video Understanding.CoRRabs/2305.06355 (2023)
• 
  [i189]
  Peize Sun,Shoufa Chen,Chenchen Zhu,Fanyi Xiao,Ping Luo,Saining Xie,Zhicheng Yan:
  Going Denser with Open-Vocabulary Part Segmentation.CoRRabs/2305.11173 (2023)
• 
  [i188]
  Wenhai Wang,Zhe Chen,Xiaokang Chen,Jiannan Wu,Xizhou Zhu,Gang Zeng,Ping Luo,Tong Lu,Jie Zhou,Yu Qiao,Jifeng Dai:
  VisionLLM: Large Language Model is also an Open-Ended Decoder for Vision-Centric Tasks.CoRRabs/2305.11175 (2023)
• 
  [i187]
  Haoyu Lu,Guoxing Yang,Nanyi Fei,Yuqi Huo,Zhiwu Lu,Ping Luo,Mingyu Ding:
  VDT: An Empirical Study on Video Diffusion with Transformers.CoRRabs/2305.13311 (2023)
• 
  [i186]
  Yao Mu,Qinglong Zhang,Mengkang Hu,Wenhai Wang,Mingyu Ding,Jun Jin,Bin Wang,Jifeng Dai,Yu Qiao,Ping Luo:
  EmbodiedGPT: Vision-Language Pre-Training via Embodied Chain of Thought.CoRRabs/2305.15021 (2023)
• 
  [i185]
  Yuanfeng Ji,Yatao Bian,Guoji Fu,Peilin Zhao,Ping Luo:
  SyNDock: N Rigid Protein Docking via Learnable Group Synchronization.CoRRabs/2305.15156 (2023)
• 
  [i184]
  Mengzhao Chen,Wenqi Shao,Peng Xu,Mingbao Lin,Kaipeng Zhang,Fei Chao,Rongrong Ji,Yu Qiao,Ping Luo:
  DiffRate : Differentiable Compression Rate for Efficient Vision Transformers.CoRRabs/2305.17997 (2023)
• 
  [i183]
  Zeyue Xue,Guanglu Song,Qiushan Guo,Boxiao Liu,Zhuofan Zong,Yu Liu,Ping Luo:
  RAPHAEL: Text-to-Image Generation via Large Mixture of Diffusion Paths.CoRRabs/2305.18295 (2023)
• 
  [i182]
  Chonghao Sima,Wenwen Tong,Tai Wang,Li Chen,Silei Wu,Hanming Deng,Yi Gu,Lewei Lu,Ping Luo,Dahua Lin,Hongyang Li:
  Scene as Occupancy.CoRRabs/2306.02851 (2023)
• 
  [i181]
  Peng Xu,Wenqi Shao,Kaipeng Zhang,Peng Gao,Shuo Liu,Meng Lei,Fanqing Meng,Siyuan Huang,Yu Qiao,Ping Luo:
  LVLM-eHub: A Comprehensive Evaluation Benchmark for Large Vision-Language Models.CoRRabs/2306.09265 (2023)
• 
  [i180]
  Yue Yang,Kaipeng Zhang,Yuying Ge,Wenqi Shao,Zeyue Xue,Yu Qiao,Ping Luo:
  Align, Adapt and Inject: Sound-guided Unified Image Generation.CoRRabs/2306.11504 (2023)
• 
  [i179]
  Yao Lai,Jinxin Liu,Zhentao Tang,Bin Wang,Jianye Hao,Ping Luo:
  ChiPFormer: Transferable Chip Placement via Offline Decision Transformer.CoRRabs/2306.14744 (2023)
• 
  [i178]
  Shilong Zhang,Peize Sun,Shoufa Chen,Min Xiao,Wenqi Shao,Wenwei Zhang,Kai Chen,Ping Luo:
  GPT4RoI: Instruction Tuning Large Language Model on Region-of-Interest.CoRRabs/2307.03601 (2023)
• 
  [i177]
  Yi Wang,Yinan He,Yizhuo Li,Kunchang Li,Jiashuo Yu,Xin Ma,Xinyuan Chen,Yaohui Wang,Ping Luo,Ziwei Liu,Yali Wang,Limin Wang,Yu Qiao:
  InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation.CoRRabs/2307.06942 (2023)
• 
  [i176]
  Wenqi Shao,Yutao Hu,Peng Gao,Meng Lei,Kaipeng Zhang,Fanqing Meng,Peng Xu,Siyuan Huang,Hongsheng Li,Yu Qiao,Ping Luo:
  Tiny LVLM-eHub: Early Multimodal Experiments with Bard.CoRRabs/2308.03729 (2023)
• 
  [i175]
  Jiannan Wu,Yi Jiang,Bin Yan,Huchuan Lu,Zehuan Yuan,Ping Luo:
  Exploring Transformers for Open-world Instance Segmentation.CoRRabs/2308.04206 (2023)
• 
  [i174]
  Yangyang Xu,Shengfeng He,Kwan-Yee K. Wong,Ping Luo:
  RIGID: Recurrent GAN Inversion and Editing of Real Face Videos.CoRRabs/2308.06097 (2023)
• 
  [i173]
  Fanqing Meng,Wenqi Shao,Zhanglin Peng,Chonghe Jiang,Kaipeng Zhang,Yu Qiao,Ping Luo:
  Foundation Model is Efficient Multimodal Multitask Model Selector.CoRRabs/2308.06262 (2023)
• 
  [i172]
  Zhouxia Wang,Jiawei Zhang,Tianshui Chen,Wenping Wang,Ping Luo:
  RestoreFormer++: Towards Real-World Blind Face Restoration from Undegraded Key-Value Pairs.CoRRabs/2308.07228 (2023)
• 
  [i171]
  Wenqi Shao,Mengzhao Chen,Zhaoyang Zhang,Peng Xu,Lirui Zhao,Zhiqian Li,Kaipeng Zhang,Peng Gao,Yu Qiao,Ping Luo:
  OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models.CoRRabs/2308.13137 (2023)
• 
  [i170]
  Yutao Hu,Qixiong Wang,Wenqi Shao,Enze Xie,Zhenguo Li,Jungong Han,Ping Luo:
  Beyond One-to-One: Rethinking the Referring Image Segmentation.CoRRabs/2308.13853 (2023)
• 
  [i169]
  Ruijie Yao,Sheng Jin,Lumin Xu,Wang Zeng,Wentao Liu,Chen Qian,Ping Luo,Ji Wu:
  GKGNet: Group K-Nearest Neighbor based Graph Convolutional Network for Multi-Label Image Recognition.CoRRabs/2308.14378 (2023)
• 
  [i168]
  Zhouxia Wang,Xintao Wang,Liangbin Xie,Zhongang Qi,Ying Shan,Wenping Wang,Ping Luo:
  StyleAdapter: A Single-Pass LoRA-Free Model for Stylized Image Generation.CoRRabs/2309.01770 (2023)
• 
  [i167]
  Xiangchao Yan,Runjian Chen,Bo Zhang,Jiakang Yuan,Xinyu Cai,Botian Shi,Wenqi Shao,Junchi Yan,Ping Luo,Yu Qiao:
  SPOT: Scalable 3D Pre-training via Occupancy Prediction for Autonomous Driving.CoRRabs/2309.10527 (2023)
• 
  [i166]
  Junsong Chen,Jincheng Yu,Chongjian Ge,Lewei Yao,Enze Xie,Yue Wu,Zhongdao Wang,James T. Kwok,Ping Luo,Huchuan Lu,Zhenguo Li:
  PixArt-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis.CoRRabs/2310.00426 (2023)
• 
  [i165]
  Hao Sha,Yao Mu,Yuxuan Jiang,Li Chen,Chenfeng Xu,Ping Luo,Shengbo Eben Li,Masayoshi Tomizuka,Wei Zhan,Mingyu Ding:
  LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving.CoRRabs/2310.03026 (2023)
• 
  [i164]
  Hao Zhang,Kaipeng Zhang,Lumin Xu,Shenqi Lai,Wenqi Shao,Nanning Zheng,Ping Luo,Yu Qiao:
  Language-driven Open-Vocabulary Keypoint Detection for Animal Body and Face.CoRRabs/2310.05056 (2023)
• 
  [i163]
  Zhixuan Liang,Xingyu Zeng,Rui Zhao,Ping Luo:
  MeanAP-Guided Reinforced Active Learning for Object Detection.CoRRabs/2310.08387 (2023)
• 
  [i162]
  Mengkang Hu,Yao Mu,Xinmiao Yu,Mingyu Ding,Shiguang Wu,Wenqi Shao,Qiguang Chen,Bin Wang,Yu Qiao,Ping Luo:
  Tree-Planner: Efficient Close-loop Task Planning with Large Language Models.CoRRabs/2310.08582 (2023)
• 
  [i161]
  Yizhuo Li,Kunchang Li,Yinan He,Yi Wang,Yali Wang,Limin Wang,Yu Qiao,Ping Luo:
  Harvest Video Foundation Models via Efficient Post-Pretraining.CoRRabs/2310.19554 (2023)
• 
  [i160]
  Haibao Yu,Yingjuan Tang,Enze Xie,Jilei Mao,Ping Luo,Zaiqing Nie:
  Flow-Based Feature Fusion for Vehicle-Infrastructure Cooperative 3D Object Detection.CoRRabs/2311.01682 (2023)
• 
  [i159]
  Yangyang Xu,Shengfeng He,Wenqi Shao,Kwan-Yee K. Wong,Yu Qiao,Ping Luo:
  DiffusionMat: Alpha Matting as Sequential Refinement Learning.CoRRabs/2311.13535 (2023)
• 
  [i158]
  Yuanfeng Ji,Chongjian Ge,Weikai Kong,Enze Xie,Zhengying Liu,Zhengguo Li,Ping Luo:
  Large Language Models as Automated Aligners for benchmarking Vision-Language Models.CoRRabs/2311.14580 (2023)
• 
  [i157]
  Chongjian Ge,Xiaohan Ding,Zhan Tong,Li Yuan,Jiangliu Wang,Yibing Song,Ping Luo:
  Advancing Vision Transformers with Group-Mix Attention.CoRRabs/2311.15157 (2023)
• 
  [i156]
  Kunchang Li,Yali Wang,Yinan He,Yizhuo Li,Yi Wang,Yi Liu,Zun Wang,Jilan Xu,Guo Chen,Ping Luo,Limin Wang,Yu Qiao:
  MVBench: A Comprehensive Multi-modal Video Understanding Benchmark.CoRRabs/2311.17005 (2023)
• 
  [i155]
  Yanqing Liu,Kai Wang,Wenqi Shao,Ping Luo,Yu Qiao,Mike Zheng Shou,Kaipeng Zhang,Yang You:
  MLLMs-Augmented Visual-Language Representation Learning.CoRRabs/2311.18765 (2023)
• 
  [i154]
  Zhouxia Wang,Ziyang Yuan,Xintao Wang,Tianshui Chen,Menghan Xia,Ping Luo,Ying Shan:
  MotionCtrl: A Unified and Flexible Motion Controller for Video Generation.CoRRabs/2312.03641 (2023)
• 
  [i153]
  Shoufa Chen,Mengmeng Xu,Jiawei Ren,Yuren Cong,Sen He,Yanping Xie,Animesh Sinha,Ping Luo,Tao Xiang,Juan-Manuel Pérez-Rúa:
  GenTron: Delving Deep into Diffusion Transformers for Image and Video Generation.CoRRabs/2312.04557 (2023)
• 
  [i152]
  Sheng Jin,Shuhuai Li,Tong Li,Wentao Liu,Chen Qian,Ping Luo:
  You Only Learn One Query: Learning Unified Human Query for Single-Stage Multi-Person Multi-Task Human-Centric Perception.CoRRabs/2312.05525 (2023)
• 
  [i151]
  Jiankai Sun,Chuanyang Zheng,Enze Xie,Zhengying Liu,Ruihang Chu,Jianing Qiu,Jiaqi Xu,Mingyu Ding,Hongyang Li,Mengzhe Geng,Yue Wu,Wenhai Wang,Junsong Chen,Zhangyue Yin,Xiaozhe Ren,Jie Fu,Junxian He,Wu Yuan,Qi Liu,Xihui Liu,Yu Li,Hao Dong,Yu Cheng,Ming Zhang,Pheng-Ann Heng,Jifeng Dai,Ping Luo,Jingdong Wang,Ji-Rong Wen,Xipeng Qiu,Yike Guo,Hui Xiong,Qun Liu,Zhenguo Li:
  A Survey of Reasoning with Foundation Models.CoRRabs/2312.11562 (2023)
• 
  [i150]
  Zhixuan Liang,Yao Mu,Hengbo Ma,Masayoshi Tomizuka,Mingyu Ding,Ping Luo:
  SkillDiffuser: Interpretable Hierarchical Planning via Skill Abstractions in Diffusion-Based Task Execution.CoRRabs/2312.11598 (2023)
• 
  [i149]
  Zhaoyang Zhang,Wenqi Shao,Yixiao Ge,Xiaogang Wang,Jinwei Gu,Ping Luo:
  Cached Transformers: Improving Transformers with Differentiable Memory Cache.CoRRabs/2312.12742 (2023)
• 
  [i148]
  Chonghao Sima,Katrin Renz,Kashyap Chitta,Li Chen,Hanxue Zhang,Chengen Xie,Ping Luo,Andreas Geiger,Hongyang Li:
  DriveLM: Driving with Graph Visual Question Answering.CoRRabs/2312.14150 (2023)
• 
  [i147]
  Zhe Chen,Jiannan Wu,Wenhai Wang,Weijie Su,Guo Chen,Sen Xing,Muyan Zhong,Qinglong Zhang,Xizhou Zhu,Lewei Lu,Bin Li,Ping Luo,Tong Lu,Yu Qiao,Jifeng Dai:
  InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks.CoRRabs/2312.14238 (2023)
• 
  [i146]
  Jiannan Wu,Yi Jiang,Bin Yan,Huchuan Lu,Zehuan Yuan,Ping Luo:
  UniRef++: Segment Every Reference Object in Spatial and Temporal Spaces.CoRRabs/2312.15715 (2023)
• 
  [i145]
  Yunlong Tang,Jing Bi,Siting Xu,Luchuan Song,Susan Liang,Teng Wang,Daoan Zhang,Jie An,Jingyang Lin,Rongyi Zhu,Ali Vosoughi,Chao Huang,Zeliang Zhang,Feng Zheng,Jianguo Zhang,Ping Luo,Jiebo Luo,Chenliang Xu:
  Video Understanding with Large Language Models: A Survey.CoRRabs/2312.17432 (2023)
• 2022
• 
  [j16]
  Wenhai Wang,Enze Xie,Xiang Li,Deng-Ping Fan,Kaitao Song,Ding Liang,Tong Lu,Ping Luo,Ling Shao:
  PVT v2: Improved baselines with Pyramid Vision Transformer.Comput. Vis. Media8(3):415-424 (2022)
• 
  [j15]
  Enze Xie,Wenhai Wang,Mingyu Ding,Ruimao Zhang,Ping Luo:
  PolarMask++: Enhanced Polar Representation for Single-Shot Instance Segmentation and Beyond.IEEE Trans. Pattern Anal. Mach. Intell.44(9):5385-5400 (2022)
• 
  [j14]
  Xingang Pan,Xiaohang Zhan,Bo Dai,Dahua Lin,Chen Change Loy,Ping Luo:
  Exploiting Deep Generative Prior for Versatile Image Restoration and Manipulation.IEEE Trans. Pattern Anal. Mach. Intell.44(11):7474-7489 (2022)
• 
  [j13]
  Yuying Ge,Ruimao Zhang,Ping Luo:
  MetaCloth: Learning Unseen Tasks of Dense Fashion Landmark Detection From a Few Samples.IEEE Trans. Image Process.31:1120-1133 (2022)
• 
  [j12]
  Shixiong Zhao,Fanxin Li,Xusheng Chen,Xiuxian Guan,Jianyu Jiang,Dong Huang,Yuhao Qing,Sen Wang,Peng Wang,Gong Zhang,Cheng Li,Ping Luo,Heming Cui:
  vPipe: A Virtualized Acceleration System for Achieving Efficient and Scalable Pipeline Parallel DNN Training.IEEE Trans. Parallel Distributed Syst.33(3):489-506 (2022)
• 
  [c134]
  Zhe Chen,Wenhai Wang,Enze Xie,Tong Lu,Ping Luo:
  Towards Ultra-Resolution Neural Style Transfer via Thumbnail Instance Normalization.AAAI2022:393-400
• 
  [c133]
  Chaofan Tao,Lu Hou,Wei Zhang,Lifeng Shang,Xin Jiang,Qun Liu,Ping Luo,Ngai Wong:
  Compression of Generative Pre-trained Language Models via Quantization.ACL (1)2022:4821-4836
• 
  [c132]
  Mingyu Ding,Yan Xu,Zhenfang Chen,David Daniel Cox,Ping Luo,Joshua B. Tenenbaum,Chuang Gan:
  Embodied Concept Learner: Self-supervised Learning of Concepts and Mapping through Instruction Following.CoRL2022:1743-1754
• 
  [c131]
  Zhiqi Li,Wenhai Wang,Enze Xie,Zhiding Yu,Anima Anandkumar,José M. Álvarez,Ping Luo,Tong Lu:
  Panoptic SegFormer: Delving Deeper into Panoptic Segmentation with Transformers.CVPR2022:1270-1279
• 
  [c130]
  Jiannan Wu,Yi Jiang,Peize Sun,Zehuan Yuan,Ping Luo:
  Language as Queries for Referring Video Object Segmentation.CVPR2022:4964-4974
• 
  [c129]
  Wang Zeng,Sheng Jin,Wentao Liu,Chen Qian,Ping Luo,Wanli Ouyang,Xiaogang Wang:
  Not All Tokens Are Equal: Human-centric Visual Analysis via Token Clustering Transformer.CVPR2022:11091-11101
• 
  [c128]
  Qiushan Guo,Yao Mu,Jianyu Chen,Tianqi Wang,Yizhou Yu,Ping Luo:
  Scale-Equivalent Distillation for Semi-Supervised Object Detection.CVPR2022:14502-14511
• 
  [c127]
  Yuying Ge,Yixiao Ge,Xihui Liu,Dian Li,Ying Shan,Xiaohu Qie,Ping Luo:
  Bridging Video-text Retrieval with Multiple Choice Questions.CVPR2022:16146-16155
• 
  [c126]
  Zhouxia Wang,Jiawei Zhang,Runjian Chen,Wenping Wang,Ping Luo:
  RestoreFormer: High-Quality Blind Face Restoration from Undegraded Key-Value Pairs.CVPR2022:17491-17500
• 
  [c125]
  Peize Sun,Jinkun Cao,Yi Jiang,Zehuan Yuan,Song Bai,Kris Kitani,Ping Luo:
  DanceTrack: Multi-Object Tracking in Uniform Appearance and Diverse Motion.CVPR2022:20961-20970
• 
  [c124]
  Yifu Zhang,Peize Sun,Yi Jiang,Dongdong Yu,Fucheng Weng,Zehuan Yuan,Ping Luo,Wenyu Liu,Xinggang Wang:
  ByteTrack: Multi-object Tracking by Associating Every Detection Box.ECCV (22)2022:1-21
• 
  [c123]
  Mingyu Ding,Bin Xiao,Noel Codella,Ping Luo,Jingdong Wang,Lu Yuan:
  DaViT: Dual Attention Vision Transformers.ECCV (24)2022:74-92
• 
  [c122]
  Wenqi Shao,Xun Zhao,Yixiao Ge,Zhaoyang Zhang,Lei Yang,Xiaogang Wang,Ying Shan,Ping Luo:
  Not All Models Are Equal: Predicting Model Transferability in a Self-challenging Fisher Space.ECCV (34)2022:286-302
• 
  [c121]
  Hao Meng,Sheng Jin,Wentao Liu,Chen Qian,Mengxiang Lin,Wanli Ouyang,Ping Luo:
  3D Interacting Hand Pose Estimation by Hand De-occlusion and Removal.ECCV (6)2022:380-397
• 
  [c120]
  Lumin Xu,Sheng Jin,Wang Zeng,Wentao Liu,Chen Qian,Wanli Ouyang,Ping Luo,Xiaogang Wang:
  Pose for Everything: Towards Category-Agnostic Pose Estimation.ECCV (6)2022:398-416
• 
  [c119]
  Wentao Jiang,Sheng Jin,Wentao Liu,Chen Qian,Ping Luo,Si Liu:
  PoseTrans: A Simple yet Effective Pose Transformation Augmentation for Human Pose Estimation.ECCV (5)2022:643-659
• 
  [c118]
  Yuying Ge,Yixiao Ge,Xihui Liu,Jinpeng Wang,Jianping Wu,Ying Shan,Xiaohu Qie,Ping Luo:
  MILES: Visual BERT Pre-training with Injected Language Semantics for Video-Text Retrieval.ECCV (35)2022:691-708
• 
  [c117]
  Bin Yan,Yi Jiang,Peize Sun,Dong Wang,Zehuan Yuan,Ping Luo,Huchuan Lu:
  Towards Grand Unification of Object Tracking.ECCV (21)2022:733-751
• 
  [c116]
  Weijia Wu,Enze Xie,Ruimao Zhang,Wenhai Wang,Ping Luo,Hong Zhou:
  Polygon-Free: Unconstrained Scene Text Detection with Box Annotations.ICIP2022:1226-1230
• 
  [c115]
  Shoufa Chen,Enze Xie,Chongjian Ge,Runjian Chen,Ding Liang,Ping Luo:
  CycleMLP: A MLP-like Architecture for Dense Prediction.ICLR2022
• 
  [c114]
  Mingyu Ding,Yuqi Huo,Haoyu Lu,Linjie Yang,Zhe Wang,Zhiwu Lu,Jingdong Wang,Ping Luo:
  Learning Versatile Neural Architectures by Propagating Network Codes.ICLR2022
• 
  [c113]
  Wenqi Shao,Yixiao Ge,Zhaoyang Zhang,Xuyuan Xu,Xiaogang Wang,Ying Shan,Ping Luo:
  Dynamic Token Normalization improves Vision Transformers.ICLR2022
• 
  [c112]
  Can Wang,Sheng Jin,Yingda Guan,Wentao Liu,Chen Qian,Ping Luo,Wanli Ouyang:
  Pseudo-Labeled Auto-Curriculum Learning for Semi-Supervised Keypoint Localization.ICLR2022
• 
  [c111]
  Shuo Yang,Peize Sun,Yi Jiang,Xiaobo Xia,Ruiheng Zhang,Zehuan Yuan,Changhu Wang,Ping Luo,Min Xu:
  Objects in Semantic Topology.ICLR2022
• 
  [c110]
  Xiaoyu Chen,Yao Mark Mu,Ping Luo,Shengbo Li,Jianyu Chen:
  Flow-based Recurrent Belief State Learning for POMDPs.ICML2022:3444-3468
• 
  [c109]
  Yao Mark Mu,Shoufa Chen,Mingyu Ding,Jianyu Chen,Runjian Chen,Ping Luo:
  CtrlFormer: Learning Transferable State Representation for Visual Control via Transformer.ICML2022:16043-16061
• 
  [c108]
  Teng Wang,Wenhao Jiang,Zhichao Lu,Feng Zheng,Ran Cheng,Chengguo Yin,Ping Luo:
  VLMixer: Unpaired Vision-Language Pre-training via Cross-Modal CutMix.ICML2022:22680-22690
• 
  [c107]
  Zhecheng Yuan,Guozheng Ma,Yao Mu,Bo Xia,Bo Yuan,Xueqian Wang,Ping Luo,Huazhe Xu:
  Don't Touch What Matters: Task-Aware Lipschitz Data Augmentation for Visual Reinforcement Learning.IJCAI2022:3702-3708
• 
  [c106]
  Shoufa Chen,Chongjian Ge,Zhan Tong,Jiangliu Wang,Yibing Song,Jue Wang,Ping Luo:
  AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition.NeurIPS2022
• 
  [c105]
  Yuanfeng Ji,Haotian Bai,Chongjian Ge,Jie Yang,Ye Zhu,Ruimao Zhang,Zhen Li,Lingyan Zhang,Wanling Ma,Xiang Wan,Ping Luo:
  AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation.NeurIPS2022
• 
  [c104]
  Yao Lai,Yao Mu,Ping Luo:
  MaskPlace: Fast Chip Placement via Reinforced Visual Representation Learning.NeurIPS2022
• 
  [c103]
  Chuofan Ma,Qiushan Guo,Yi Jiang,Ping Luo,Zehuan Yuan,Xiaojuan Qi:
  Rethinking Resolution in the Context of Efficient Video Recognition.NeurIPS2022
• 
  [c102]
  Yao Mu,Yuzheng Zhuang,Fei Ni,Bin Wang,Jianyu Chen,Jianye Hao,Ping Luo:
  DOMINO: Decomposed Mutual Information Optimization for Generalized Context in Meta-Reinforcement Learning.NeurIPS2022
• 
  [c101]
  Zeyue Xue,Jianming Liang,Guanglu Song,Zhuofan Zong,Liang Chen,Yu Liu,Ping Luo:
  Large-batch Optimization for Dense Visual Predictions: Training Faster R-CNN in 4.2 Minutes.NeurIPS2022
• 
  [i144]
  Jiannan Wu,Yi Jiang,Peize Sun,Zehuan Yuan,Ping Luo:
  Language as Queries for Referring Video Object Segmentation.CoRRabs/2201.00487 (2022)
• 
  [i143]
  Yuying Ge,Yixiao Ge,Xihui Liu,Dian Li,Ying Shan,Xiaohu Qie,Ping Luo:
  BridgeFormer: Bridging Video-text Retrieval with Multiple Choice Questions.CoRRabs/2201.04850 (2022)
• 
  [i142]
  Yuying Ge,Yibing Song,Ruimao Zhang,Ping Luo:
  MetaDance: Few-shot Dancing Video Retargeting via Temporal-aware Meta-learning.CoRRabs/2201.04851 (2022)
• 
  [i141]
  Zhouxia Wang,Jiawei Zhang,Runjian Chen,Wenping Wang,Ping Luo:
  RestoreFormer: High-Quality Blind Face Restoration From Undegraded Key-Value Pairs.CoRRabs/2201.06374 (2022)
• 
  [i140]
  Can Wang,Sheng Jin,Yingda Guan,Wentao Liu,Chen Qian,Ping Luo,Wanli Ouyang:
  Pseudo-Labeled Auto-Curriculum Learning for Semi-Supervised Keypoint Localization.CoRRabs/2201.08613 (2022)
• 
  [i139]
  Yuanfeng Ji,Lu Zhang,Jiaxiang Wu,Bingzhe Wu,Long-Kai Huang,Tingyang Xu,Yu Rong,Lanqing Li,Jie Ren,Ding Xue,Houtim Lai,Shaoyong Xu,Jing Feng,Wei Liu,Ping Luo,Shuigeng Zhou,Junzhou Huang,Peilin Zhao,Yatao Bian:
  DrugOOD: Out-of-Distribution (OOD) Dataset Curator and Benchmark for AI-aided Drug Discovery - A Focus on Affinity Prediction Problems with Noise Annotations.CoRRabs/2201.09637 (2022)
• 
  [i138]
  Xiaokang Chen,Mingyu Ding,Xiaodi Wang,Ying Xin,Shentong Mo,Yunhao Wang,Shumin Han,Ping Luo,Gang Zeng,Jingdong Wang:
  Context Autoencoder for Self-Supervised Representation Learning.CoRRabs/2202.03026 (2022)
• 
  [i137]
  Zhecheng Yuan,Guozheng Ma,Yao Mu,Bo Xia,Bo Yuan,Xueqian Wang,Ping Luo,Huazhe Xu:
  Don't Touch What Matters: Task-Aware Lipschitz Data Augmentation for Visual Reinforcement Learning.CoRRabs/2202.09982 (2022)
• 
  [i136]
  Chunmeng Liu,Enze Xie,Wenjia Wang,Wenhai Wang,Guangyao Li,Ping Luo:
  WegFormer: Transformers for Weakly Supervised Semantic Segmentation.CoRRabs/2203.08421 (2022)
• 
  [i135]
  Weijia Wu,Debing Zhang,Ying Fu,Chunhua Shen,Hong Zhou,Yuanqiang Cai,Ping Luo:
  End-to-End Video Text Spotting with Transformer.CoRRabs/2203.10539 (2022)
• 
  [i134]
  Chaofan Tao,Lu Hou,Wei Zhang,Lifeng Shang,Xin Jiang,Qun Liu,Ping Luo,Ngai Wong:
  Compression of Generative Pre-trained Language Models via Quantization.CoRRabs/2203.10705 (2022)
• 
  [i133]
  Qiushan Guo,Yao Mu,Jianyu Chen,Tianqi Wang,Yizhou Yu,Ping Luo:
  Scale-Equivalent Distillation for Semi-Supervised Object Detection.CoRRabs/2203.12244 (2022)
• 
  [i132]
  Mingyu Ding,Bin Xiao,Noel Codella,Ping Luo,Jingdong Wang,Lu Yuan:
  DaViT: Dual Attention Vision Transformers.CoRRabs/2204.03645 (2022)
• 
  [i131]
  Enze Xie,Zhiding Yu,Daquan Zhou,Jonah Philion,Anima Anandkumar,Sanja Fidler,Ping Luo,José M. Álvarez:
  M²BEV: Multi-Camera Joint 3D Detection and Segmentation with Unified Birds-Eye View Representation.CoRRabs/2204.05088 (2022)
• 
  [i130]
  Teng Wang,Zhu Liu,Feng Zheng,Zhichao Lu,Ran Cheng,Ping Luo:
  Semantic-Aware Pretraining for Dense Video Captioning.CoRRabs/2204.07449 (2022)
• 
  [i129]
  Wang Zeng,Sheng Jin,Wentao Liu,Chen Qian,Ping Luo,Wanli Ouyang,Xiaogang Wang:
  Not All Tokens Are Equal: Human-centric Visual Analysis via Token Clustering Transformer.CoRRabs/2204.08680 (2022)
• 
  [i128]
  Yuying Ge,Yixiao Ge,Xihui Liu,Alex Jinpeng Wang,Jianping Wu,Ying Shan,Xiaohu Qie,Ping Luo:
  MILES: Visual BERT Pre-training with Injected Language Semantics for Video-text Retrieval.CoRRabs/2204.12408 (2022)
• 
  [i127]
  Xiaoyu Chen,Yao Mu,Ping Luo,Shengbo Li,Jianyu Chen:
  Flow-based Recurrent Belief State Learning for POMDPs.CoRRabs/2205.11051 (2022)
• 
  [i126]
  Shoufa Chen,Chongjian Ge,Zhan Tong,Jiangliu Wang,Yibing Song,Jue Wang,Ping Luo:
  AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition.CoRRabs/2205.13535 (2022)
• 
  [i125]
  Runjian Chen,Yao Mu,Runsen Xu,Wenqi Shao,Chenhan Jiang,Hang Xu,Zhenguo Li,Ping Luo:
  CO^3: Cooperative Unsupervised 3D Representation Learning for Autonomous Driving.CoRRabs/2206.04028 (2022)
• 
  [i124]
  Yuanfeng Ji,Haotian Bai,Jie Yang,Chongjian Ge,Ye Zhu,Ruimao Zhang,Zhen Li,Lingyan Zhang,Wanling Ma,Xiang Wan,Ping Luo:
  AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation.CoRRabs/2206.08023 (2022)
• 
  [i123]
  Yao Mu,Shoufa Chen,Mingyu Ding,Jianyu Chen,Runjian Chen,Ping Luo:
  CtrlFormer: Learning Transferable State Representation for Visual Control via Transformer.CoRRabs/2206.08883 (2022)
• 
  [i122]
  Teng Wang,Wenhao Jiang,Zhichao Lu,Feng Zheng,Ran Cheng,Chengguo Yin,Ping Luo:
  VLMixer: Unpaired Vision-Language Pre-training via Cross-Modal CutMix.CoRRabs/2206.08919 (2022)
• 
  [i121]
  Jinrui Zhang,Teng Wang,Feng Zheng,Ran Cheng,Ping Luo:
  Exploiting Context Information for Generic Event Boundary Captioning.CoRRabs/2207.01050 (2022)
• 
  [i120]
  Wenqi Shao,Xun Zhao,Yixiao Ge,Zhaoyang Zhang,Lei Yang,Xiaogang Wang,Ying Shan,Ping Luo:
  Not All Models Are Equal: Predicting Model Transferability in a Self-challenging Fisher Space.CoRRabs/2207.03036 (2022)
• 
  [i119]
  Bin Yan,Yi Jiang,Peize Sun,Dong Wang,Zehuan Yuan,Ping Luo,Huchuan Lu:
  Towards Grand Unification of Object Tracking.CoRRabs/2207.07078 (2022)
• 
  [i118]
  Lumin Xu,Sheng Jin,Wang Zeng,Wentao Liu,Chen Qian,Wanli Ouyang,Ping Luo,Xiaogang Wang:
  Pose for Everything: Towards Category-Agnostic Pose Estimation.CoRRabs/2207.10387 (2022)
• 
  [i117]
  Hao Meng,Sheng Jin,Wentao Liu,Chen Qian,Mengxiang Lin,Wanli Ouyang,Ping Luo:
  3D Interacting Hand Pose Estimation by Hand De-occlusion and Removal.CoRRabs/2207.11061 (2022)
• 
  [i116]
  Wentao Jiang,Sheng Jin,Wentao Liu,Chen Qian,Ping Luo,Si Liu:
  PoseTrans: A Simple Yet Effective Pose Transformation Augmentation for Human Pose Estimation.CoRRabs/2208.07755 (2022)
• 
  [i115]
  Lumin Xu,Sheng Jin,Wentao Liu,Chen Qian,Wanli Ouyang,Ping Luo,Xiaogang Wang:
  ZoomNAS: Searching for Whole-body Human Pose Estimation in the Wild.CoRRabs/2208.11547 (2022)
• 
  [i114]
  Hongyang Li,Chonghao Sima,Jifeng Dai,Wenhai Wang,Lewei Lu,Huijie Wang,Enze Xie,Zhiqi Li,Hanming Deng,Hao Tian,Xizhou Zhu,Li Chen,Yulu Gao,Xiangwei Geng,Jia Zeng,Yang Li,Jiazhi Yang,Xiaosong Jia,Bohan Yu,Yu Qiao,Dahua Lin,Si Liu,Junchi Yan,Jianping Shi,Ping Luo:
  Delving into the Devils of Bird's-eye-view Perception: A Review, Evaluation and Recipe.CoRRabs/2209.05324 (2022)
• 
  [i113]
  Chuofan Ma,Qiushan Guo,Yi Jiang,Zehuan Yuan,Ping Luo,Xiaojuan Qi:
  Rethinking Resolution in the Context of Efficient Video Recognition.CoRRabs/2209.12797 (2022)
• 
  [i112]
  Ziyun Zeng,Yuying Ge,Xihui Liu,Bin Chen,Ping Luo,Shu-Tao Xia,Yixiao Ge:
  Learning Transferable Spatiotemporal Representations from Natural Script Knowledge.CoRRabs/2209.15280 (2022)
• 
  [i111]
  Zeyu Gao,Yao Mu,Ruoyan Shen,Chen Chen,Yangang Ren,Jianyu Chen,Shengbo Eben Li,Ping Luo,Yanfeng Lu:
  Enhance Sample Efficiency and Robustness of End-to-end Urban Autonomous Driving via Semantic Masked World Model.CoRRabs/2210.04017 (2022)
• 
  [i110]
  Yao Mu,Yuzheng Zhuang,Fei Ni,Bin Wang,Jianyu Chen,Jianye Hao,Ping Luo:
  Decomposed Mutual Information Optimization for Generalized Context in Meta-Reinforcement Learning.CoRRabs/2210.04209 (2022)
• 
  [i109]
  Zeyue Xue,Jianming Liang,Guanglu Song,Zhuofan Zong,Liang Chen,Yu Liu,Ping Luo:
  Large-batch Optimization for Dense Visual Predictions.CoRRabs/2210.11078 (2022)
• 
  [i108]
  Shoufa Chen,Peize Sun,Yibing Song,Ping Luo:
  DiffusionDet: Diffusion Model for Object Detection.CoRRabs/2211.09788 (2022)
• 
  [i107]
  Junjie Wang,Yao Mu,Dong Li,Qichao Zhang,Dongbin Zhao,Yuzheng Zhuang,Ping Luo,Bin Wang,Jianye Hao:
  Prototypical context-aware dynamics generalization for high-dimensional model-based reinforcement learning.CoRRabs/2211.12774 (2022)
• 
  [i106]
  Yao Lai,Yao Mu,Ping Luo:
  MaskPlace: Fast Chip Placement via Reinforced Visual Representation Learning.CoRRabs/2211.13382 (2022)
• 
  [i105]
  Chuang Lin,Peize Sun,Yi Jiang,Ping Luo,Lizhen Qu,Gholamreza Haffari,Zehuan Yuan,Jianfei Cai:
  Learning Object-Language Alignments for Open-Vocabulary Object Detection.CoRRabs/2211.14843 (2022)
• 
  [i104]
  Yuying Ge,Annabella Macaluso,Li Erran Li,Ping Luo,Xiaolong Wang:
  Self-Play and Self-Describe: Policy Adaptation with Vision-Language Foundation Models.CoRRabs/2212.07398 (2022)
• 2021
• 
  [j11]
  Ping Luo,Ruimao Zhang,Jiamin Ren,Zhanglin Peng,Jingyu Li:
  Switchable Normalization for Learning-to-Normalize Deep Representation.IEEE Trans. Pattern Anal. Mach. Intell.43(2):712-728 (2021)
• 
  [c100]
  Xuesong Chen,Canmiao Fu,Feng Zheng,Yong Zhao,Hongsheng Li,Ping Luo,Guo-Jun Qi:
  A Unified Multi-Scenario Attacking Network for Visual Object Tracking.AAAI2021:1097-1104
• 
  [c99]
  Mingyu Ding,Xiaochen Lian,Linjie Yang,Peng Wang,Xiaojie Jin,Zhiwu Lu,Ping Luo:
  HR-NAS: Searching Efficient High-Resolution Neural Architectures With Lightweight Transformers.CVPR2021:2982-2992
• 
  [c98]
  Yuying Ge,Yibing Song,Ruimao Zhang,Chongjian Ge,Wei Liu,Ping Luo:
  Parser-Free Virtual Try-On via Distilling Appearance Flows.CVPR2021:8485-8493
• 
  [c97]
  Jiahang Wang,Sheng Jin,Wentao Liu,Weizhong Liu,Chen Qian,Ping Luo:
  When Human Pose Estimation Meets Robustness: Adversarial Algorithms and Benchmarks.CVPR2021:11855-11864
• 
  [c96]
  Peize Sun,Rufeng Zhang,Yi Jiang,Tao Kong,Chenfeng Xu,Wei Zhan,Masayoshi Tomizuka,Lei Li,Zehuan Yuan,Changhu Wang,Ping Luo:
  Sparse R-CNN: End-to-End Object Detection With Learnable Proposals.CVPR2021:14454-14463
• 
  [c95]
  Lumin Xu,Yingda Guan,Sheng Jin,Wentao Liu,Chen Qian,Ping Luo,Wanli Ouyang,Xiaogang Wang:
  ViPNAS: Efficient Video Pose Estimation via Neural Architecture Search.CVPR2021:16072-16081
• 
  [c94]
  Chongjian Ge,Yibing Song,Yuying Ge,Han Yang,Wei Liu,Ping Luo:
  Disentangled Cycle Consistency for Highly-Realistic Virtual Try-On.CVPR2021:16928-16937
• 
  [c93]
  Wenhai Wang,Enze Xie,Xiang Li,Deng-Ping Fan,Kaitao Song,Ding Liang,Tong Lu,Ping Luo,Ling Shao:
  Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions.ICCV2021:548-558
• 
  [c92]
  Zhaoyang Zhang,Yitong Jiang,Jun Jiang,Xiaogang Wang,Ping Luo,Jinwei Gu:
  STAR: A Structure-aware Lightweight Transformer for Real-time Image Enhancement.ICCV2021:4086-4095
• 
  [c91]
  Wei Shang,Dongwei Ren,Dongqing Zou,Jimmy S. Ren,Ping Luo,Wangmeng Zuo:
  Bringing Events into Video Deblurring with Non-consecutively Blurry Frames.ICCV2021:4511-4520
• 
  [c90]
  Teng Wang,Ruimao Zhang,Zhichao Lu,Feng Zheng,Ran Cheng,Ping Luo:
  End-to-End Dense Video Captioning with Parallel Decoding.ICCV2021:6827-6837
• 
  [c89]
  Shoufa Chen,Peize Sun,Enze Xie,Chongjian Ge,Jiannan Wu,Lan Ma,Jiajun Shen,Ping Luo:
  Watch Only Once: An End-to-End Video Action Detection Framework.ICCV2021:8158-8167
• 
  [c88]
  Enze Xie,Jian Ding,Wenhai Wang,Xiaohang Zhan,Hang Xu,Peize Sun,Zhenguo Li,Ping Luo:
  DetCo: Unsupervised Contrastive Learning for Object Detection.ICCV2021:8372-8381
• 
  [c87]
  Muhammad Awais,Fengwei Zhou,Hang Xu,Lanqing Hong,Ping Luo,Sung-Ho Bae,Zhenguo Li:
  Adversarial Robustness for Unsupervised Domain Adaptation.ICCV2021:8548-8557
• 
  [c86]
  Xingang Pan,Bo Dai,Ziwei Liu,Chen Change Loy,Ping Luo:
  Do 2D GANs Know 3D Shape? Unsupervised 3D Shape Reconstruction from 2D Image GANs.ICLR2021
• 
  [c85]
  Peize Sun,Yi Jiang,Enze Xie,Wenqi Shao,Zehuan Yuan,Changhu Wang,Ping Luo:
  What Makes for End-to-End Object Detection?ICML2021:9934-9944
• 
  [c84]
  Zhaoyang Zhang,Wenqi Shao,Jinwei Gu,Xiaogang Wang,Ping Luo:
  Differentiable Dynamic Quantization with Mixed Precision and Adaptive Resolution.ICML2021:12546-12556
• 
  [c83]
  Enze Xie,Wenjia Wang,Wenhai Wang,Peize Sun,Hang Xu,Ding Liang,Ping Luo:
  Segmenting Transparent Objects in the Wild with Transformer.IJCAI2021:1194-1200
• 
  [c82]
  Lingyun Wu,Zhiqiang Hu,Yuanfeng Ji,Ping Luo,Shaoting Zhang:
  Multi-frame Collaboration for Effective Endoscopic Video Polyp Detection via Spatial-Temporal Feature Transformation.MICCAI (5)2021:302-312
• 
  [c81]
  Yuanfeng Ji,Ruimao Zhang,Huijie Wang,Zhen Li,Lingyun Wu,Shaoting Zhang,Ping Luo:
  Multi-compound Transformer for Accurate Biomedical Image Segmentation.MICCAI (1)2021:326-336
• 
  [c80]
  Mingyu Ding,Zhenfang Chen,Tao Du,Ping Luo,Josh Tenenbaum,Chuang Gan:
  Dynamic Visual Reasoning by Learning Differentiable Physics Models from Video and Language.NeurIPS2021:887-899
• 
  [c79]
  Chongjian Ge,Youwei Liang,Yibing Song,Jianbo Jiao,Jue Wang,Ping Luo:
  Revitalizing CNN Attention via Transformers in Self-Supervised Visual Representation Learning.NeurIPS2021:4193-4206
• 
  [c78]
  Yao Mu,Yuzheng Zhuang,Bin Wang,Guangxiang Zhu,Wulong Liu,Jianyu Chen,Ping Luo,Shengbo Li,Chongjie Zhang,Jianye Hao:
  Model-Based Reinforcement Learning via Imagination with Derived Memory.NeurIPS2021:9493-9505
• 
  [c77]
  Enze Xie,Wenhai Wang,Zhiding Yu,Anima Anandkumar,José M. Álvarez,Ping Luo:
  SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers.NeurIPS2021:12077-12090
• 
  [c76]
  Yuqi Huo,Mingyu Ding,Haoyu Lu,Nanyi Fei,Zhiwu Lu,Ji-Rong Wen,Ping Luo:
  Compressed Video Contrastive Learning.NeurIPS2021:14176-14187
• 
  [c75]
  Zhongzhan Huang,Wenqi Shao,Xinjiang Wang,Liang Lin,Ping Luo:
  Rethinking the Pruning Criteria for Convolutional Neural Network.NeurIPS2021:16305-16318
• 
  [i103]
  Enze Xie,Wenjia Wang,Wenhai Wang,Peize Sun,Hang Xu,Ding Liang,Ping Luo:
  Trans2Seg: Transparent Object Segmentation with Transformer.CoRRabs/2101.08461 (2021)
• 
  [i102]
  Enze Xie,Jian Ding,Wenhai Wang,Xiaohang Zhan,Hang Xu,Zhenguo Li,Ping Luo:
  DetCo: Unsupervised Contrastive Learning for Object Detection.CoRRabs/2102.04803 (2021)
• 
  [i101]
  Chaofan Tao,Rui Lin,Quan Chen,Zhaoyang Zhang,Ping Luo,Ngai Wong:
  FAT: Learning Low-Bitwidth Parametric Representation via Frequency-Aware Transformation.CoRRabs/2102.07444 (2021)
• 
  [i100]
  Wenhai Wang,Enze Xie,Xiang Li,Deng-Ping Fan,Kaitao Song,Ding Liang,Tong Lu,Ping Luo,Ling Shao:
  Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions.CoRRabs/2102.12122 (2021)
• 
  [i99]
  Yuying Ge,Yibing Song,Ruimao Zhang,Chongjian Ge,Wei Liu,Ping Luo:
  Parser-Free Virtual Try-on via Distilling Appearance Flows.CoRRabs/2103.04559 (2021)
• 
  [i98]
  Jian Ding,Enze Xie,Hang Xu,Chenhan Jiang,Zhenguo Li,Ping Luo,Gui-Song Xia:
  Unsupervised Pretraining for Object Detection by Patch Reidentification.CoRRabs/2103.04814 (2021)
• 
  [i97]
  Chongjian Ge,Yibing Song,Yuying Ge,Han Yang,Wei Liu,Ping Luo:
  Disentangled Cycle Consistency for Highly-realistic Virtual Try-On.CoRRabs/2103.09479 (2021)
• 
  [i96]
  Zhe Chen,Wenhai Wang,Enze Xie,Tong Lu,Ping Luo:
  Towards Ultra-Resolution Neural Style Transfer via Thumbnail Instance Normalization.CoRRabs/2103.11784 (2021)
• 
  [i95]
  Mingyu Ding,Yuqi Huo,Haoyu Lu,Linjie Yang,Zhe Wang,Zhiwu Lu,Jingdong Wang,Ping Luo:
  Learning Versatile Neural Architectures by Propagating Network Codes.CoRRabs/2103.13253 (2021)
• 
  [i94]
  Enze Xie,Wenhai Wang,Mingyu Ding,Ruimao Zhang,Ping Luo:
  PolarMask++: Enhanced Polar Representation for Single-Shot Instance Segmentation and Beyond.CoRRabs/2105.02184 (2021)
• 
  [i93]
  Jiahang Wang,Sheng Jin,Wentao Liu,Weizhong Liu,Chen Qian,Ping Luo:
  When Human Pose Estimation Meets Robustness: Adversarial Algorithms and Benchmarks.CoRRabs/2105.06152 (2021)
• 
  [i92]
  Wenqi Shao,Hang Yu,Zhaoyang Zhang,Hang Xu,Zhenguo Li,Ping Luo:
  BWCP: Probabilistic Learning-to-Prune Channels for ConvNets via Batch Whitening.CoRRabs/2105.06423 (2021)
• 
  [i91]
  Lumin Xu,Yingda Guan,Sheng Jin,Wentao Liu,Chen Qian,Ping Luo,Wanli Ouyang,Xiaogang Wang:
  ViPNAS: Efficient Video Pose Estimation via Neural Architecture Search.CoRRabs/2105.10154 (2021)
• 
  [i90]
  Enze Xie,Wenhai Wang,Zhiding Yu,Anima Anandkumar,José M. Álvarez,Ping Luo:
  SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers.CoRRabs/2105.15203 (2021)
• 
  [i89]
  Zhaoyang Zhang,Wenqi Shao,Jinwei Gu,Xiaogang Wang,Ping Luo:
  Differentiable Dynamic Quantization with Mixed Precision and Adaptive Resolution.CoRRabs/2106.02295 (2021)
• 
  [i88]
  Mingyu Ding,Xiaochen Lian,Linjie Yang,Peng Wang,Xiaojie Jin,Zhiwu Lu,Ping Luo:
  HR-NAS: Searching Efficient High-Resolution Neural Architectures with Lightweight Transformers.CoRRabs/2106.06560 (2021)
• 
  [i87]
  Wenhai Wang,Enze Xie,Xiang Li,Deng-Ping Fan,Kaitao Song,Ding Liang,Tong Lu,Ping Luo,Ling Shao:
  PVTv2: Improved Baselines with Pyramid Vision Transformer.CoRRabs/2106.13797 (2021)
• 
  [i86]
  Yuanfeng Ji,Ruimao Zhang,Huijie Wang,Zhen Li,Lingyun Wu,Shaoting Zhang,Ping Luo:
  Multi-Compound Transformer for Accurate Biomedical Image Segmentation.CoRRabs/2106.14385 (2021)
• 
  [i85]
  Lingyun Wu,Zhiqiang Hu,Yuanfeng Ji,Ping Luo,Shaoting Zhang:
  Multi-frame Collaboration for Effective Endoscopic Video Polyp Detection via Spatial-Temporal Feature Transformation.CoRRabs/2107.03609 (2021)
• 
  [i84]
  Shoufa Chen,Enze Xie,Chongjian Ge,Runjian Chen,Ding Liang,Ping Luo:
  CycleMLP: A MLP-like Architecture for Dense Prediction.CoRRabs/2107.10224 (2021)
• 
  [i83]
  Teng Wang,Ruimao Zhang,Zhichao Lu,Feng Zheng,Ran Cheng,Ping Luo:
  End-to-End Dense Video Captioning with Parallel Decoding.CoRRabs/2108.07781 (2021)
• 
  [i82]
  Muhammad Awais,Fengwei Zhou,Hang Xu,Lanqing Hong,Ping Luo,Sung-Ho Bae,Zhenguo Li:
  Adversarial Robustness for Unsupervised Domain Adaptation.CoRRabs/2109.00946 (2021)
• 
  [i81]
  Zhiqi Li,Wenhai Wang,Enze Xie,Zhiding Yu,Anima Anandkumar,José M. Álvarez,Tong Lu,Ping Luo:
  Panoptic SegFormer.CoRRabs/2109.03814 (2021)
• 
  [i80]
  Jiannan Wu,Peize Sun,Shoufa Chen,Jiewen Yang,Zihao Qi,Lan Ma,Ping Luo:
  Towards High-Quality Temporal Action Detection with Sparse Proposals.CoRRabs/2109.08847 (2021)
• 
  [i79]
  Shuo Yang,Peize Sun,Yi Jiang,Xiaobo Xia,Ruiheng Zhang,Zehuan Yuan,Changhu Wang,Ping Luo,Min Xu:
  Objects in Semantic Topology.CoRRabs/2110.02687 (2021)
• 
  [i78]
  Chongjian Ge,Youwei Liang,Yibing Song,Jianbo Jiao,Jue Wang,Ping Luo:
  Revitalizing CNN Attentions via Transformers in Self-Supervised Visual Representation Learning.CoRRabs/2110.05340 (2021)
• 
  [i77]
  Yifu Zhang,Peize Sun,Yi Jiang,Dongdong Yu,Zehuan Yuan,Ping Luo,Wenyu Liu,Xinggang Wang:
  ByteTrack: Multi-Object Tracking by Associating Every Detection Box.CoRRabs/2110.06864 (2021)
• 
  [i76]
  Mingyu Ding,Zhenfang Chen,Tao Du,Ping Luo,Joshua B. Tenenbaum,Chuang Gan:
  Dynamic Visual Reasoning by Learning Differentiable Physics Models from Video and Language.CoRRabs/2110.15358 (2021)
• 
  [i75]
  Zhe Chen,Wenhai Wang,Enze Xie,Zhibo Yang,Tong Lu,Ping Luo:
  FAST: Searching for a Faster Arbitrarily-Shaped Text Detector with Minimalist Kernel Representation.CoRRabs/2111.02394 (2021)
• 
  [i74]
  Peize Sun,Jinkun Cao,Yi Jiang,Zehuan Yuan,Song Bai,Kris Kitani,Ping Luo:
  DanceTrack: Multi-Object Tracking in Uniform Appearance and Diverse Motion.CoRRabs/2111.14690 (2021)
• 
  [i73]
  Wenqi Shao,Yixiao Ge,Zhaoyang Zhang,Xuyuan Xu,Xiaogang Wang,Ying Shan,Ping Luo:
  Dynamic Token Normalization Improves Vision Transformer.CoRRabs/2112.02624 (2021)
• 
  [i72]
  Yuying Ge,Ruimao Zhang,Ping Luo:
  MetaCloth: Learning Unseen Tasks of Dense Fashion Landmark Detection from a Few Samples.CoRRabs/2112.02763 (2021)
• 2020
• 
  [b2]
  Liang Lin,Dongyu Zhang,Ping Luo,Wangmeng Zuo:
  Human Centric Visual Analysis with Deep Learning.Springer2020, ISBN978-981-13-2386-7, pp. 3-156
• 
  [j10]
  Wenqi Shao,Jingyu Li,Jiamin Ren,Ruimao Zhang,Xiaogang Wang,Ping Luo:
  SSN: Learning Sparse Switchable Normalization via SparsestMax.Int. J. Comput. Vis.128(8):2107-2125 (2020)
• 
  [c74]
  Mingyu Ding,Zhe Wang,Bolei Zhou,Jianping Shi,Zhiwu Lu,Ping Luo:
  Every Frame Counts: Joint Learning of Video Segmentation and Optical Flow.AAAI2020:10713-10720
• 
  [c73]
  Zhouxia Wang,Jiawei Zhang,Mude Lin,Jiong Wang,Ping Luo,Jimmy S. J. Ren:
  Learning a Reinforced Agent for Flexible Exposure Bracketing Selection.CVPR2020:1817-1825
• 
  [c72]
  Mingyu Ding,Yuqi Huo,Hongwei Yi,Zhe Wang,Jianping Shi,Zhiwu Lu,Ping Luo:
  Learning Depth-Guided Convolutions for Monocular 3D Object Detection.CVPR Workshops2020:4306-4315
• 
  [c71]
  Cheng-Han Lee,Ziwei Liu,Lingyun Wu,Ping Luo:
  MaskGAN: Towards Diverse and Interactive Facial Image Manipulation.CVPR2020:5548-5557
• 
  [c70]
  Wang Zeng,Wanli Ouyang,Ping Luo,Wentao Liu,Xiaogang Wang:
  3D Human Mesh Regression With Dense Correspondence.CVPR2020:7052-7061
• 
  [c69]
  Han Yang,Ruimao Zhang,Xiaobao Guo,Wei Liu,Wangmeng Zuo,Ping Luo:
  Towards Photo-Realistic Virtual Try-On by Adaptively Generating↔Preserving Image Content.CVPR2020:7847-7856
• 
  [c68]
  Qiushan Guo,Xinjiang Wang,Yichao Wu,Zhipeng Yu,Ding Liang,Xiaolin Hu,Ping Luo:
  Online Knowledge Distillation via Collaborative Learning.CVPR2020:11017-11026
• 
  [c67]
  Mingyu Ding,Yuqi Huo,Hongwei Yi,Zhe Wang,Jianping Shi,Zhiwu Lu,Ping Luo:
  Learning Depth-Guided Convolutions for Monocular 3D Object Detection.CVPR2020:11669-11678
• 
  [c66]
  Enze Xie,Peize Sun,Xiaoge Song,Wenhai Wang,Xuebo Liu,Ding Liang,Chunhua Shen,Ping Luo:
  PolarMask: Single Shot Instance Segmentation With Polar Representation.CVPR2020:12190-12199
• 
  [c65]
  Ruimao Zhang,Zhanglin Peng,Lingyun Wu,Zhen Li,Ping Luo:
  Exemplar Normalization for Learning Deep Representation.CVPR2020:12723-12732
• 
  [c64]
  Sheng Jin,Lumin Xu,Jin Xu,Can Wang,Wentao Liu,Chen Qian,Wanli Ouyang,Ping Luo:
  Whole-Body Human Pose Estimation in the Wild.ECCV (9)2020:196-214
• 
  [c63]
  Xingang Pan,Xiaohang Zhan,Bo Dai,Dahua Lin,Chen Change Loy,Ping Luo:
  Exploiting Deep Generative Prior for Versatile Image Restoration and Manipulation.ECCV (2)2020:262-277
• 
  [c62]
  Wenhai Wang,Xuebo Liu,Xiaozhong Ji,Enze Xie,Ding Liang,Zhibo Yang,Tong Lu,Chunhua Shen,Ping Luo:
  AE TextSpotter: Learning Visual and Linguistic Representation for Ambiguous Text Spotting.ECCV (14)2020:457-473
• 
  [c61]
  Chaofan Tao,Qinhong Jiang,Lixin Duan,Ping Luo:
  Dynamic and Static Context-Aware LSTM for Multi-agent Motion Prediction.ECCV (21)2020:547-563
• 
  [c60]
  Enze Xie,Wenjia Wang,Wenhai Wang,Mingyu Ding,Chunhua Shen,Ping Luo:
  Segmenting Transparent Objects in the Wild.ECCV (13)2020:696-711
• 
  [c59]
  Sheng Jin,Wentao Liu,Enze Xie,Wenhai Wang,Chen Qian,Wanli Ouyang,Ping Luo:
  Differentiable Hierarchical Graph Grouping for Multi-person Pose Estimation.ECCV (7)2020:718-734
• 
  [c58]
  Jingkang Yang,Litong Feng,Weirong Chen,Xiaopeng Yan,Huabin Zheng,Ping Luo,Wayne Zhang:
  Webly Supervised Image Classification with Self-contained Confidence.ECCV (8)2020:779-795
• 
  [c57]
  Wenqi Shao,Shitao Tang,Xingang Pan,Ping Tan,Xiaogang Wang,Ping Luo:
  Channel Equilibrium Networks for Learning Deep Representation.ICML2020:8645-8654
• 
  [c56]
  Yuanfeng Ji,Ruimao Zhang,Zhen Li,Jiamin Ren,Shaoting Zhang,Ping Luo:
  UXNet: Searching Multi-level Feature Aggregation for 3D Medical Image Segmentation.MICCAI (1)2020:346-356
• 
  [i71]
  Sheng Zhou,Xinjiang Wang,Ping Luo,Litong Feng,Wenjie Li,Wei Zhang:
  How Does BN Increase Collapsed Neural Network Filters?CoRRabs/2001.11216 (2020)
• 
  [i70]
  Wenqi Shao,Shitao Tang,Xingang Pan,Ping Tan,Xiaogang Wang,Ping Luo:
  Channel Equilibrium Networks for Learning Deep Representation.CoRRabs/2003.00214 (2020)
• 
  [i69]
  Han Yang,Ruimao Zhang,Xiaobao Guo,Wei Liu,Wangmeng Zuo,Ping Luo:
  Towards Photo-Realistic Virtual Try-On by Adaptively Generating↔Preserving Image Content.CoRRabs/2003.05863 (2020)
• 
  [i68]
  An Zhao,Mingyu Ding,Zhiwu Lu,Tao Xiang,Yulei Niu,Jiechao Guan,Ji-Rong Wen,Ping Luo:
  Domain-Adaptive Few-Shot Learning.CoRRabs/2003.08626 (2020)
• 
  [i67]
  Ruimao Zhang,Zhanglin Peng,Lingyun Wu,Zhen Li,Ping Luo:
  Exemplar Normalization for Learning Deep Representation.CoRRabs/2003.08761 (2020)
• 
  [i66]
  Xingang Pan,Xiaohang Zhan,Bo Dai,Dahua Lin,Chen Change Loy,Ping Luo:
  Exploiting Deep Generative Prior for Versatile Image Restoration and Manipulation.CoRRabs/2003.13659 (2020)
• 
  [i65]
  Enze Xie,Wenjia Wang,Wenhai Wang,Mingyu Ding,Chunhua Shen,Ping Luo:
  Segmenting Transparent Objects in the Wild.CoRRabs/2003.13948 (2020)
• 
  [i64]
  Wenjie Li,Zhaoyang Zhang,Xinjiang Wang,Ping Luo:
  AdaX: Adaptive Gradient Descent with Exponential Long Term Memory.CoRRabs/2004.09740 (2020)
• 
  [i63]
  Zhongzhan Huang,Xinjiang Wang,Ping Luo:
  Convolution-Weight-Distribution Assumption: Rethinking the Criteria of Channel Pruning.CoRRabs/2004.11627 (2020)
• 
  [i62]
  Zhouxia Wang,Jiawei Zhang,Mude Lin,Jiong Wang,Ping Luo,Jimmy S. J. Ren:
  Learning a Reinforced Agent for Flexible Exposure Bracketing Selection.CoRRabs/2005.12536 (2020)
• 
  [i61]
  Wang Zeng,Wanli Ouyang,Ping Luo,Wentao Liu,Xiaogang Wang:
  3D Human Mesh Regression with Dense Correspondence.CoRRabs/2006.05734 (2020)
• 
  [i60]
  Sheng Jin,Lumin Xu,Jin Xu,Can Wang,Wentao Liu,Chen Qian,Wanli Ouyang,Ping Luo:
  Whole-Body Human Pose Estimation in the Wild.CoRRabs/2007.11858 (2020)
• 
  [i59]
  Sheng Jin,Wentao Liu,Enze Xie,Wenhai Wang,Chen Qian,Wanli Ouyang,Ping Luo:
  Differentiable Hierarchical Graph Grouping for Multi-Person Pose Estimation.CoRRabs/2007.11864 (2020)
• 
  [i58]
  Wenhai Wang,Xuebo Liu,Xiaozhong Ji,Enze Xie,Ding Liang,Zhibo Yang,Tong Lu,Chunhua Shen,Ping Luo:
  AE TextSpotter: Learning Visual and Linguistic Representation for Ambiguous Text Spotting.CoRRabs/2008.00714 (2020)
• 
  [i57]
  Chaofan Tao,Qinhong Jiang,Lixin Duan,Ping Luo:
  Dynamic and Static Context-aware LSTM for Multi-agent Motion Prediction.CoRRabs/2008.00777 (2020)
• 
  [i56]
  Jingkang Yang,Litong Feng,Weirong Chen,Xiaopeng Yan,Huabin Zheng,Ping Luo,Wayne Zhang:
  Webly Supervised Image Classification with Self-Contained Confidence.CoRRabs/2008.11894 (2020)
• 
  [i55]
  Hao Tan,Ran Cheng,Shihua Huang,Cheng He,Changxiao Qiu,Fan Yang,Ping Luo:
  RelativeNAS: Relative Neural Architecture Search via Slow-Fast Learning.CoRRabs/2009.06193 (2020)
• 
  [i54]
  Yuanfeng Ji,Ruimao Zhang,Zhen Li,Jiamin Ren,Shaoting Zhang,Ping Luo:
  UXNet: Searching Multi-level Feature Aggregation for 3D Medical Image Segmentation.CoRRabs/2009.07501 (2020)
• 
  [i53]
  Xingang Pan,Bo Dai,Ziwei Liu,Chen Change Loy,Ping Luo:
  Do 2D GANs Know 3D Shape? Unsupervised 3D shape reconstruction from 2D Image GANs.CoRRabs/2011.00844 (2020)
• 
  [i52]
  Peize Sun,Rufeng Zhang,Yi Jiang,Tao Kong,Chenfeng Xu,Wei Zhan,Masayoshi Tomizuka,Lei Li,Zehuan Yuan,Changhu Wang,Ping Luo:
  Sparse R-CNN: End-to-End Object Detection with Learnable Proposals.CoRRabs/2011.12450 (2020)
• 
  [i51]
  Weijia Wu,Enze Xie,Ruimao Zhang,Wenhai Wang,Guan Pang,Zhen Li,Hong Zhou,Ping Luo:
  SelfText Beyond Polygon: Unconstrained Text Detection with Box Supervision and Dynamic Self-Training.CoRRabs/2011.13307 (2020)
• 
  [i50]
  Peize Sun,Yi Jiang,Enze Xie,Zehuan Yuan,Changhu Wang,Ping Luo:
  OneNet: Towards End-to-End One-Stage Object Detection.CoRRabs/2012.05780 (2020)
• 
  [i49]
  Peize Sun,Yi Jiang,Rufeng Zhang,Enze Xie,Jinkun Cao,Xinting Hu,Tao Kong,Zehuan Yuan,Changhu Wang,Ping Luo:
  TransTrack: Multiple-Object Tracking with Transformer.CoRRabs/2012.15460 (2020)