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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. Human Motion · Human-Object Interaction · Humanoid · Embodied AI Email / Google Scholar / Twitter / Github |
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News |
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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