activity
20212026
most citedHighly Efficient 3D Human Pose Tracking from Events with Spiking Spatiotemporal Transformer

15 citations · 22 across the 6 of their papers we have counts for

collaborators

6 papers

cs.RO2026

EgoActor: Grounding Task Planning into Spatial-aware Egocentric Actions for Humanoid Robots via Visual-Language Models

Yu Bai, MingMing Yu, Chaojie Li +3

Deploying humanoid robots in real-world settings is fundamentally challenging, as it demands tight integration of perception, locomotion, and manipulation under partial-information…

cs.CV2024

Spherical World-Locking for Audio-Visual Localization in Egocentric Videos

Heeseung Yun, Ruohan Gao, Ishwarya Ananthabhotla +6

Egocentric videos provide comprehensive contexts for user and scene understanding, spanning multisensory perception to behavioral interaction. We propose Spherical World-Locking (S…

cs.CV2023

PGformer: Proxy-Bridged Game Transformer for Multi-Person Highly Interactive Extreme Motion Prediction

Yanwen Fang, Jintai Chen, Peng-Tao Jiang +4

Multi-person motion prediction is a challenging task, especially for real-world scenarios of highly interacted persons. Most previous works have been devoted to studying the case o…

cs.CV2023★ 15 cited

Highly Efficient 3D Human Pose Tracking from Events with Spiking Spatiotemporal Transformer

Shihao Zou, Yuxuan Mu, Wei Ji +5

Event camera, as an asynchronous vision sensor capturing scene dynamics, presents new opportunities for highly efficient 3D human pose tracking. Existing approaches typically adopt…

cs.CV2022

Snipper: A Spatiotemporal Transformer for Simultaneous Multi-Person 3D Pose Estimation Tracking and Forecasting on a Video Snippet

Shihao Zou, Yuanlu Xu, Chao Li +3

Multi-person pose understanding from RGB videos involves three complex tasks: pose estimation, tracking and motion forecasting. Intuitively, accurate multi-person pose estimation f…

cs.CV2021★ 7 cited

Ego4D: Around the World in 3,000 Hours of Egocentric Video

Kristen Grauman, Andrew Westbury, Eugene Byrne +82

We introduce Ego4D, a massive-scale egocentric video dataset and benchmark suite. It offers 3,670 hours of daily-life activity video spanning hundreds of scenarios (household, outd…