1 citations · 1 across the 3 of their papers we have counts for
4 papers
Learning When to Listen: Gated Affect Fusion for Human Motion Prediction
Jingni Huang
Human motion forecasting in unconstrained real-world videos remains challenging due to the ambiguity of future behaviors and the presence of noisy multimodal observations. While fa…
Emotion-Conditioned Short-Horizon Human Pose Forecasting with a Lightweight Predictive World Model
Jingni Huang, Peter Bloodsworth
Short-term human pose prediction plays a crucial role in interactive systems, assistive robots, and emotion-aware human-computer interaction[1-3]. While current trajectory predicti…
Unlocking Exocentric Video-Language Data for Egocentric Video Representation Learning
Zi-Yi Dou, Xitong Yang, Tushar Nagarajan +5
We present EMBED (Egocentric Models Built with Exocentric Data), a method designed to transform exocentric video-language data for egocentric video representation learning. Large-s…
Universal Humanoid Motion Representations for Physics-Based Control
Zhengyi Luo, Jinkun Cao, Josh Merel +4
We present a universal motion representation that encompasses a comprehensive range of motor skills for physics-based humanoid control. Due to the high dimensionality of humanoids…