12 papers · 1 filter
Marrying Text-to-Motion Generation with Skeleton-Based Action Recognition
Jidong Kuang, Hongsong Wang, Jie Gui
Human action recognition and motion generation are two active research problems in human-centric computer vision, both aiming to align motion with textual semantics. However, most…
Structure-Aware Fine-Grained Gaussian Splatting for Expressive Avatar Reconstruction
Yuze Su, Hongsong Wang, Jie Gui +1
Reconstructing photorealistic and topology-aware human avatars from monocular videos remains a significant challenge in the fields of computer vision and graphics. While existing 3…
Coordinate-Based Dual-Constrained Autoregressive Motion Generation
Kang Ding, Hongsong Wang, Jie Gui +1
Text-to-motion generation has attracted increasing attention in the research community recently, with potential applications in animation, virtual reality, robotics, and human-comp…
Not All Agents Matter: From Global Attention Dilution to Risk-Prioritized Game Planning
Kang Ding, Hongsong Wang, Jie Gui +1
End-to-end autonomous driving resides not in the integration of perception and planning, but rather in the dynamic multi-agent game within a unified representation space. Most exis…
Attribution as Retrieval: Model-Agnostic AI-Generated Image Attribution
Hongsong Wang, Renxi Cheng, Chaolei Han +1
With the rapid advancement of AIGC technologies, image forensics will encounter unprecedented challenges. Traditional methods are incapable of dealing with increasingly realistic i…
Multimodal Skeleton-Based Action Representation Learning via Decomposition and Composition
Hongsong Wang, Heng Fei, Bingxuan Dai +1
Multimodal human action understanding is a significant problem in computer vision, with the central challenge being the effective utilization of the complementarity among diverse m…