14 papers
GeneralVLA: Generalizable Vision-Language-Action Models with Knowledge-Guided Trajectory Planning
Guoqing Ma, Siheng Wang, Zeyu Zhang +2
Large foundation models have shown strong open-world generalization to complex problems in vision and language, but similar levels of generalization have yet to be achieved in robo…
3D CoCa v2: Contrastive Learners with Test-Time Search for Generalizable Spatial Intelligence
Hao Tang, Ting Huang, Zeyu Zhang
Spatial intelligence refers to the ability to perceive, reason about, and describe objects and their relationships within three-dimensional environments, forming a foundation for e…
AnyDepth: Depth Estimation Made Easy
Zeyu Ren, Zeyu Zhang, Wukai Li +2
Monocular depth estimation aims to recover the depth information of 3D scenes from 2D images. Recent work has made significant progress, but its reliance on large-scale datasets an…
SafeMo: Linguistically Grounded Unlearning for Trustworthy Text-to-Motion Generation
Yiling Wang, Zeyu Zhang, Yiran Wang +1
Text-to-motion (T2M) generation with diffusion backbones achieves strong realism and alignment. Safety concerns in T2M methods have been raised in recent years; existing methods re…
EgoLCD: Egocentric Video Generation with Long Context Diffusion
Liuzhou Zhang, Jiarui Ye, Yuanlei Wang +6
Generating long, coherent egocentric videos is difficult, as hand-object interactions and procedural tasks require reliable long-term memory. Existing autoregressive models suffer…
MobileVLA-R1: Reinforcing Vision-Language-Action for Mobile Robots
Ting Huang, Dongjian Li, Rui Yang +3
Grounding natural-language instructions into continuous control for quadruped robots remains a fundamental challenge in vision language action. Existing methods struggle to bridge…