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Jinkun Cao

I am Jinkun Cao (曹金坤), a Robotics PhD student in Carnegie Mellon University. I study computer vision and robotics topics. I received my bachelor degree from Shanghai Jiao Tong University in 2020.

noahcao

Jinkun Cao's Projects

alphapose icon alphapose

Real-Time Multi-Person Pose Estimation System

cirl icon cirl

A tensorflow implemention of ECCV2018 Paper:CIRL: Controllable Imitative Reinforcement Learning for Vision-based Self-driving

dancetrack icon dancetrack

DanceTrack: Multiple Object Tracking in Uniform Appearance and Diverse Motion

factorvae icon factorvae

Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)

gtr icon gtr

Global Tracking Transformers, CVPR 2022

honeycomb icon honeycomb

A web (and optionally mobile application) project to build a reliable visualized network system for the reference dependencies among public academic papers.

humor icon humor

Code for ICCV 2021 paper "HuMoR: 3D Human Motion Model for Robust Pose Estimation"

icebeem icon icebeem

Code for ICE-BeeM paper - NeurIPS 2020

mmtracking icon mmtracking

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.

oc_sort icon oc_sort

[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.

phalp icon phalp

Code repository for the paper "Tracking People by Predicting 3D Appearance, Location & Pose". (CVPR 2022)

pixel2mesh icon pixel2mesh

A complete Pixel2Mesh implementation in PyTorch

sjtu-se-assignments icon sjtu-se-assignments

Repo for the assignments from the Software Engineering major of Shanghai Jiao Tong University

spc icon spc

Semantic Predictive Control

survivesjtumanual icon survivesjtumanual

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/

vistr icon vistr

[CVPR2021 Oral] End-to-End Video Instance Segmentation with Transformers

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