- ByteDance
- China
- 04:48
(UTC +08:00) - https://scholar.google.com/citations?user=PH8rJHYAAAAJ&hl
- @tiahch
Highlights
- Pro
I'mTianheng Cheng, and have finished my Ph.D. career at theHUST Vision Lab of Huazhong University of Science and Technology.I’m now a researcher atByteDance Seed Team and working on cutting-edge large multimodal models and world models.
My lifelong research goal is to enable machines/robots tosee,understand, andlive like human beings.
Previous works/publications are listed atGoogle Scholar 📚.
Currently, I'm devoted to research aboutlarge multimodal models,foundational visual-language modeling, andimage generation. Before that, I mainly focused on fundamental tasks such asobject detection andinstance segmentation, as well as visual perception for autonomous driving.
Highlighted Works of those pinned works:
- ControlAR (ICLR 2025) explores controllable image generation with autoregressive models and empowers autoregressive models with arbitrary-resolution generation.
- MaskAdapter (CVPR 2025) integrates seamlessly into open-vocabulary segmentation methods based on mask pooling in a plug-and-play manner, delivering more accurate classification results.
- EVF-SAM (arXiv) empowers segment-anything (SAM, SAM-2) with the strong text-prompting ability. Try ourdemo on HuggingFace.
- OSP (ECCV 2024) explores sparse set of points to predict 3D semantic occupancy for autonomous vehicles, which is a brand new formulation!
- YOLO-World (CVPR 2024) for real-time open-vocabulary object detection;Symphonies (CVPR 2024) for camera-based 3D scene completion.
- SparseInst (CVPR 2022) aims for real-time instance segmentation with a simple fully convolutional framework!MobileInst (AAAI 2024) further explores temporal consistency and kernel reuse for efficient mobile video instance segmentation.
- BoxTeacher (CVPR 2023) bridges the gap between fully supervised and box-supervised instance segmentation. With ~1/10 annotation cost, BoxTeacher can achieve 93% performance versus fully supervised methods.
PinnedLoading
- AILab-CVC/YOLO-World
AILab-CVC/YOLO-World Public[CVPR 2024] Real-Time Open-Vocabulary Object Detection
- hustvl/SparseInst
hustvl/SparseInst Public[CVPR 2022] SparseInst: Sparse Instance Activation for Real-Time Instance Segmentation
- hustvl/GKT
hustvl/GKT PublicEfficient and Robust 2D-to-BEV Representation Learning via Geometry-guided Kernel Transformer
- hustvl/Symphonies
hustvl/Symphonies Public[CVPR 2024] Symphonies (Scene-from-Insts): Symphonize 3D Semantic Scene Completion with Contextual Instance Queries
- hustvl/EVF-SAM
hustvl/EVF-SAM PublicOfficial code of "EVF-SAM: Early Vision-Language Fusion for Text-Prompted Segment Anything Model"
- hustvl/ControlAR
hustvl/ControlAR Public[ICLR 2025] ControlAR: Controllable Image Generation with Autoregressive Models
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