5 papers
CoMind: Understanding Collaborative Human Activity from Multiple Minds and Views
Alexey Gavryushin, Dingxi Zhang, Zhao Huang +8
Human-human collaboration is a fundamental aspect of everyday life, essential to success in a wide range of goal-directed activities from household tasks to professional teamwork.…
DarkShake-DVS: Event-based Human Action Recognition under Low-light andShaking Camera Conditions
Jiaqi Chen, Qinfu Xu, Liyuan Pan
Human Action Recognition (HAR) is a fundamental computer vision task with diverse real-world applications. Practical deployments often involve low-light environments and unconstrai…
EgoVerse: An Egocentric Human Dataset for Robot Learning from Around the World
Ryan Punamiya, Simar Kareer, Zeyi Liu +37
Robot learning increasingly depends on large and diverse data, yet robot data collection remains expensive and difficult to scale. Egocentric human data offer a promising alternati…
REACT3D: Recovering Articulations for Interactive Physical 3D Scenes
Zhao Huang, Boyang Sun, Alexandros Delitzas +2
Interactive 3D scenes are increasingly vital for embodied intelligence, yet existing datasets remain limited due to the labor-intensive process of annotating part segmentation, kin…
NeRF On-the-go: Exploiting Uncertainty for Distractor-free NeRFs in the Wild
Weining Ren, Zihan Zhu, Boyang Sun +3
Neural Radiance Fields (NeRFs) have shown remarkable success in synthesizing photorealistic views from multi-view images of static scenes, but face challenges in dynamic, real-worl…