7 citations · 7 across the 6 of their papers we have counts for
4 papers · 1 filter
SCALPEL: Semantic Cross-modal Alignment via LLM-Powered Encoder Learning for Medical Vision-Language Representation
Yunzhan Fu, Enyu Bao, Xiangyu Shen +4
Vision-language pre-training (VLP) serves as a cornerstone for medical multimodal representation learning. However, existing medical VLP frameworks are often constrained by the lim…
Towards Dual-Brain Minimal Sufficient Representation for Vision-Language Navigation
Yihao Wu, Chenyi Xu, Liqi Yan +6
Vision-and-Language Navigation in continuous environments (VLN-CE) requires an agent to ground language in egocentric observations and plan in unseen scenes. Although recent multim…
Hy-Embodied-0.5-VLA: From Vision-Language-Action Models to a Real-World Robot Learning Stack
He Zhang, Lingzhu Xiang, Haitao Lin +23
In this report, we present Hy-Embodied-0.5-VLA, abbreviated as HyVLA-0.5, an end-to-end system that spans the full robot learning stack: data collection, model design, continued pr…
LongDPM: Overlap-Aware 4D Reconstruction from Long Monocular Videos
Chenyi Xu, Yihao Wu, Liqi Yan +4
Recovering a dynamic 3D scene from a long monocular video is crucial for dense geometry, camera motion, and temporal correspondence to remain consistent in a shared coordinate syst…