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

Home Page: http://www.xinshuoweng.com/

License: Other

Python 100.00%
2d-mot-evaluation 3d-mot 3d-multi 3d-multi-object-tracking 3d-tracking computer-vision evaluation evaluation-metrics kitti kitti-3d machine-learning multi-object-tracking real-time robotics tracking

ab3dmot's Introduction

Hi there 👋, welcome to Xinshuo Weng's GitHub page!

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.

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