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Jiefeng Li (李杰锋) I'm a Senior Research Scientist in the Data-Driven AI for Robotics (DAIR) team at NVIDIA Research. I received my Ph.D. in the Department of Computer Science at Shanghai Jiao Tong University (SJTU) in 2024. I was a member of SJTU MVIG lab under the supervision of Prof. Cewu Lu. Prior to that, I received my Bachelor degree of Electronic Engineering in 2018 and Master degree of Computer Science in 2020 from Shanghai Jiao Tong University. I'm interested in computer vision, machine learning, and robotics. My current research mainly lies in digital human and robotics. Email / Google Scholar / Twitter / Github |
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News |
Project |
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Real-Time and Accurate Multi-Person Pose Estimation & Tracking System |
Publications |
Talks |
| Apr 3, 2024 | Body Mesh Recovery with Inverse Kinematics – A new paradigm | ZongMu Technology |
| Dec 18, 2022 | TechBeat: 多人场景，全身136关键点检测与跟踪框架AlphaPose技术讲解 | TechBeat |
| Oct 19, 2022 | From skeleton to body: Robust Human Pose Estimation | International Digital Economy Academy (IDEA) |
| Aug 24, 2022 | Human Pose Regression with Residual Log-likelihood Estimation | Valse 2022 |
| Jun 6, 2022 | Regression From the Perspective of MLE | Artificial Intelligence Institute, SJTU |
| Sep 6, 2021 | From skeleton to body: Keypoint Estimation is Helpful for Human Body Reconstruction | Max Planck Institute for Intelligent Systems (MPI-IS) |
| Sep 2, 2021 | Human Pose Regression with Residual Log-likelihood Estimation | Tencent GY-Lab |
| July 28, 2021 | HybrIK: 基于混合逆运动学解法的3D人体形态估计 | CVPR 2021特别企划 | 智东西 |
Service |
| Conference Reviewer | NeurIPS, CVPR, ICCV, SIGGRAPH, ECCV, IROS, AAAI |
| Journal Reviewer | IJCV, TIP, T-ASE, PR, JVIS |
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Template from Jon Barron's source code. |