1 citations · 1 across the 5 of their papers we have counts for
6 papers
EWAM: Emergent Depth-Wise Specialization in a Unified Embodied Model -- From Semantic Understanding through Visual Foresight to Action
Hao Wang, Jiajun Wen, Jingzhi Liu +21
Vision-language-action (VLA) policies emphasize semantic understanding, whereas world-action models (WAMs) learn predictive representations of environment dynamics. Systems that ex…
EgoLive: A Large-Scale Egocentric Dataset from Real-World Human Tasks
Yihang Li, Xuelong Wei, Jingzhou Luo +26
The advancement of robot learning is currently hindered by the scarcity of large-scale, high-quality datasets. While established data collection methods such as teleoperation and u…
3D Skeleton-Based Action Recognition: A Review
Mengyuan Liu, Hong Liu, Qianshuo Hu +4
With the inherent advantages of skeleton representation, 3D skeleton-based action recognition has become a prominent topic in the field of computer vision. However, previous review…
SemiPL: A Semi-supervised Method for Event Sound Source Localization
Yue Li, Baiqiao Yin, Jinfu Liu +3
In recent years, Event Sound Source Localization has been widely applied in various fields. Recent works typically relying on the contrastive learning framework show impressive per…
HDBN: A Novel Hybrid Dual-branch Network for Robust Skeleton-based Action Recognition
Jinfu Liu, Baiqiao Yin, Jiaying Lin +3
Skeleton-based action recognition has gained considerable traction thanks to its utilization of succinct and robust skeletal representations. Nonetheless, current methodologies oft…
SFMViT: SlowFast Meet ViT in Chaotic World
Jiaying Lin, Jiajun Wen, Mengyuan Liu +3
The task of spatiotemporal action localization in chaotic scenes is a challenging task toward advanced video understanding. Paving the way with high-quality video feature extractio…