3 papers
cs.CV2026
DreamX-World 1.0: A General-Purpose Interactive World Model
DreamX Team, Yancheng Bai, Rui Chen +20
DreamX-World 1.0 is a general-purpose interactive text/image-to-video world model for controllable long-horizon generation. It supports camera navigation, revisits to previously ob…
cs.CV2026
Spatial-Conditioned Reasoning in Long-Egocentric Videos
James Tribble, Hao Wang, Si-En Hong +4
Long-horizon egocentric video presents significant challenges for visual navigation due to viewpoint drift and the absence of persistent geometric context. Although recent vision-l…
cs.CV2026
Motion Focus Recognition in Fast-Moving Egocentric Video
Si-En Hong, James Tribble, Alexander Lake +8
From Vision-Language-Action (VLA) systems to robotics, existing egocentric datasets primarily focus on action recognition tasks, while largely overlooking the inherent role of moti…