Jingwei Ji

PhD Candidate
Department of Electrical Engineering
Stanford University
Email / Google Scholar / Github / LinkedIn

About me

I'm pursuing my PhD degree in Stanford University as a member of the Stanford Vision and Learning Lab. I'm co-advised by Dr. Juan Carlos Niebles and Prof. Silvio Savarese.

My research interests include human activity understanding, video analysis, and broader computer vision and machine learning.

Home Action Genome: Cooperative Compositional Action Understanding

Nishant Rai, Haofeng Chen, Jingwei Ji, Rishi Desai, Kazuki Kozuka, Shun Ishizaka, Ehsan Adeli, Juan Carlos Niebles

CVPR 2021 (to appear)

project

Action Genome: Actions as Composites of Spatio-temporal Scene Graphs

Jingwei Ji, Ranjay Krishna, Li Fei-Fei, Juan Carlos Niebles

CVPR 2020

paper / project / github / data / slides / video

Few-Shot Video Classification via Temporal Alignment

Kaidi Cao, Jingwei Ji*, Zhangjie Cao*, Chien-Yi Chang, Juan Carlos Niebles

CVPR 2020

paper / video / slides / splits

Learning Temporal Action Proposals with Fewer Labels

Jingwei Ji, Kaidi Cao, Juan Carlos Niebles

ICCV 2019

paper / poster

End-to-End Joint Semantic Segmentation of Actors and Actions in Video

Jingwei Ji, Shyamal Buch, Alvaro Soto, Juan Carlos Niebles

ECCV 2018 (Oral)

paper / github / slides / poster / talk

DeformNet: Free-Form Deformation Network for 3D Shape Reconstruction from a Single Image

Andrey Kurenkov*, Jingwei Ji*, Animesh Garg, Viraj Mehta, JunYoung Gwak, Christopher Choy, Silvio Savarese

WACV 2018

paper / arXiv / project

ObjectNet3D: A Large Scale Database for 3D Object Recognition

Yu Xiang, Wonhui Kim, Wei Chen, Jingwei Ji, Christopher Choy, Hao Su, Roozbeh Mottaghi, Leonidas Guibas, Silvio Savarese

ECCV 2016 (Spotlight)

paper / project / github / poster / slides / suppmat

New Framework for the Random Charging/Discharging of Oxide Traps in HfO₂ Gate Dielectric: ab-initio Simulation and Experimental Evidence

Jingwei Ji, Yingxin Qiu, Shaofeng Guo, Runsheng Wang, Pengpeng Ren, Peng Hao, Ru Huang

IEDM 2014

paper

[CS 231A] Computer Vision: From 3D Reconstruction to Recognition
Course Assistant. Lecturer: Prof. Silvio Savarese

[CS 229] Machine Learning
Course Assistant. Lecturer: Prof. Andrew Ng and Prof. John Duchi

Applied Scientist Intern, Amazon Go

Jun - Sept 2018

Reviewer of conferences: CVPR'19, ICCV'19, AAAI'20, CVPR'20, ECCV'20, NeurIPS'20, ACCV'20, WACV'21, CVPR'21, AAAI'21, ICCV'21, ICML'21

Reviewer of journals: The Visual Computer (TVCJ), IET Computer Vision, IEEE Access, ACM Transactions on Intelligent Systems and Technology (TIST)

Organizer of workshops:
- CVPR’20 Compositionality in Computer Vision
- ECCV’20 International Challenge on Compositional and Multimodal Perception