activity
20172023
most citedAction Genome: Actions as Composition of Spatio-temporal Scene Graphs

17 citations · 46 across the 7 of their papers we have counts for

collaborators

8 papers

cs.CV2023★ 2 cited

3D Human Keypoints Estimation From Point Clouds in the Wild Without Human Labels

Zhenzhen Weng, Alexander S. Gorban, Jingwei Ji +3

Training a 3D human keypoint detector from point clouds in a supervised manner requires large volumes of high quality labels. While it is relatively easy to capture large amounts o…

cs.CV2022★ 8 cited

HUM3DIL: Semi-supervised Multi-modal 3D Human Pose Estimation for Autonomous Driving

Andrei Zanfir, Mihai Zanfir, Alexander Gorban +4

Autonomous driving is an exciting new industry, posing important research questions. Within the perception module, 3D human pose estimation is an emerging technology, which can ena…

cs.CV2022★ 2 cited

Motion Inspired Unsupervised Perception and Prediction in Autonomous Driving

Mahyar Najibi, Jingwei Ji, Yin Zhou +4

Learning-based perception and prediction modules in modern autonomous driving systems typically rely on expensive human annotation and are designed to perceive only a handful of pr…

cs.CV2021

Home Action Genome: Cooperative Compositional Action Understanding

Nishant Rai, Haofeng Chen, Jingwei Ji +5

Existing research on action recognition treats activities as monolithic events occurring in videos. Recently, the benefits of formulating actions as a combination of atomic-actions…

cs.CV2019★ 17 cited

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

Jingwei Ji, Ranjay Krishna, Li Fei-Fei +1

Action recognition has typically treated actions and activities as monolithic events that occur in videos. However, there is evidence from Cognitive Science and Neuroscience that p…

cs.CV2019★ 1 cited

Learning Temporal Action Proposals With Fewer Labels

Jingwei Ji, Kaidi Cao, Juan Carlos Niebles

Temporal action proposals are a common module in action detection pipelines today. Most current methods for training action proposal modules rely on fully supervised approaches tha…

cs.CV2019★ 16 cited

Few-Shot Video Classification via Temporal Alignment

Kaidi Cao, Jingwei Ji, Zhangjie Cao +2

There is a growing interest in learning a model which could recognize novel classes with only a few labeled examples. In this paper, we propose Temporal Alignment Module (TAM), a n…

cs.CV2017

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

Andrey Kurenkov, Jingwei Ji, Animesh Garg +4

3D reconstruction from a single image is a key problem in multiple applications ranging from robotic manipulation to augmented reality. Prior methods have tackled this problem thro…