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@xinshuoweng
xinshuoweng
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Working from home

Xinshuo Weng xinshuoweng

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Working from home
Research Scientist at NVIDIA Research, Robotics PhD Alumni at CMU, Qualcomm Fellowship Winner

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xinshuoweng/README.md

I am a Ph.D. candidate at the Robotics Institute of Carnegie Mellon University advised by Kris Kitani and also an incoming research scientist at the NVIDIA Autonomous Vehicle Research. I received master's degree (2016-17) at CMU. Prior to CMU, I worked at Facebook Reality Lab as a research engineer to help build “Photorealistic Telepresence”. My bachelor was received from Wuhan University. My research interest lies in generative models and 3D computer vision for autonomous systems. I have developed 3D multi-object tracking systems such as AB3DMOT that received >1,300 stars on GitHub. Also, I am leading a few autonomous driving workshops at top conferences such as NeurIPS 2021, IJCAI 2021, ICCV 2021 and IROS 2021. I was awarded a number of fellowships and nominations such as the Qualcomm Innovation Fellowship for 2020 and Facebook Fellowship Finalist for 2021.

Xinshuo's GitHub stats

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  1. AB3DMOTAB3DMOTPublic

    (IROS 2020, ECCVW 2020) Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics"

    Python 1.7k 404

  2. yongxinw/GSDTyongxinw/GSDTPublic

    Official PyTorch implementation of "Joint Object Detection and Multi-Object Tracking with Graph Neural Networks"

    Python 463 74

  3. AIODriveAIODrivePublic

    Official Python/PyTorch Implementation for "All-In-One Drive: A Large-Scale Comprehensive Perception Dataset with High-Density Long-Range Point Clouds"

    Python 59 8

  4. Xinshuo_PyToolboxXinshuo_PyToolboxPublic

    A Python toolbox that contains common help functions for stream I/O, image & video processing, and visualization. All my projects depend on this toolbox.

    Python 65 29


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