Name: Jinkun Cao
Type: User
Bio: PhD @ Carnegie Mellon, Previous: Bachelor @ Shanghai Jiao Tong Univ.
I write code, take photos, read a lot: https://www.jinkuncao.com/misc.html
Location: Shanghai, China
Blog: www.jinkuncao.com
Jinkun Cao's Projects
Real-Time Multi-Person Pose Estimation System
A tensorflow implemention of ECCV2018 Paper:CIRL: Controllable Imitative Reinforcement Learning for Vision-based Self-driving
DanceTrack: Multiple Object Tracking in Uniform Appearance and Diverse Motion
Reproduced Detailed-VideoAvatar project for 3D Human-Body Reconstruction
[NeurIPS 2022] disentanglement evaluation robust to model dimension variance.
Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)
Global Tracking Transformers, CVPR 2022
A web (and optionally mobile application) project to build a reliable visualized network system for the reference dependencies among public academic papers.
Code for ICCV 2021 paper "HuMoR: 3D Human Motion Model for Robust Pose Estimation"
Code for ICE-BeeM paper - NeurIPS 2020
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
OpenMMLab Video Perception Toolbox. It supports Video Object Detection (VID), Multiple Object Tracking (MOT), Single Object Tracking (SOT), Video Instance Segmentation (VIS) with a unified framework.
[CVPR2023] The official repo for OC-SORT: Observation-Centric SORT on video Multi-Object Tracking. OC-SORT is simple, online and robust to occlusion/non-linear motion.
Code repository for the paper "Tracking People by Predicting 3D Appearance, Location & Pose". (CVPR 2022)
A complete Pixel2Mesh implementation in PyTorch
Repo for the assignments from the Software Engineering major of Shanghai Jiao Tong University
Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding
Semantic Predictive Control
更新2008年版本的《上海交通大学生存手册》gitbook发布于https://survivesjtu.gitbook.io/survivesjtumanual/
Multiple-Object Tracking with Transformer
[CVPR2021 Oral] End-to-End Video Instance Segmentation with Transformers
欢乐语音斗地主!