1 citations · 2 across the 9 of their papers we have counts for
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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…
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…
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…
Meta Corrupted Pixels Mining for Medical Image Segmentation
Jixin Wang, Sanping Zhou, Chaowei Fang +2
Deep neural networks have achieved satisfactory performance in piles of medical image analysis tasks. However the training of deep neural network requires a large amount of samples…