4 papers · 1 filter
Dual-Anchoring: Addressing State Drift in Vision-Language Navigation
Kangyi Wu, Pengna Li, Kailin Lyu +5
Vision-Language Navigation(VLN) requires an agent to navigate through 3D environments by following natural language instructions. While recent Video Large Language Models(Video-LLM…
The Essence of Balance for Self-Improving Agents in Vision-and-Language Navigation
Zhen Liu, Yuhan Liu, Jinjun Wang +3
In vision-and-language navigation (VLN), self-improvement from policy-induced experience, using only standard VLN action supervision, critically depends on balancing behavioral div…
Instruction-as-State: Environment-Guided and State-Conditioned Semantic Understanding for Embodied Navigation
Zhen Liu, Yuhan Liu, Jinjun Wang +3
Vision-and-Language Navigation requires agents to follow natural-language instructions in visually changing environments. A central challenge is the dynamic entanglement between la…
Camera-aware Label Refinement for Unsupervised Person Re-identification
Pengna Li, Kangyi Wu, Wenli Huang +2
Unsupervised person re-identification aims to retrieve images of a specified person without identity labels. Many recent unsupervised Re-ID approaches adopt clustering-based method…