3 papers
cs.CV2026
Prime and Reach: Synthesising Body Motion for Gaze-Primed Object Reach
Masashi Hatano, Saptarshi Sinha, Jacob Chalk +3
Human motion generation is a challenging task that aims to create realistic motion imitating natural human behaviour. We focus on the well-studied behaviour of priming an object/lo…
cs.CV2025
3D-Aware Multi-Task Learning with Cross-View Correlations for Dense Scene Understanding
Xiaoye Wang, Chen Tang, Xiangyu Yue +1
This paper addresses the challenge of training a single network to jointly perform multiple dense prediction tasks, such as segmentation and depth estimation, i.e., multi-task lear…
cs.CV2025
UniSTD: Towards Unified Spatio-Temporal Learning across Diverse Disciplines
Chen Tang, Xinzhu Ma, Encheng Su +6
Traditional spatiotemporal models generally rely on task-specific architectures, which limit their generalizability and scalability across diverse tasks due to domain-specific desi…