5 papers
CORE Planner: Contextual-memory Oriented Reinforcement-learning in Unknown Environments for Robot Navigation
Jintao Kong, Zhihao Zhang, Weihuang Chen +4
Autonomous navigation in unknown environments requires a robot to efficiently reach a predefined goal while exploring without prior maps. Although progress has been made in this ar…
Expand Your SCOPE: Semantic Cognition over Potential-Based Exploration for Embodied Visual Navigation
Ningnan Wang, Weihuang Chen, Liming Chen +4
Embodied visual navigation remains a challenging task, as agents must explore unknown environments with limited knowledge. Existing zero-shot studies have shown that incorporating…
WAT: Online Video Understanding Needs Watching Before Thinking
Zifan Han, Hongbo Sun, Jinglin Xu +6
Multimodal Large Language Models (MLLMs) have shown strong capabilities in image understanding, motivating recent efforts to extend them to video reasoning. However, existing Video…
Quant Experts: Token-aware Adaptive Error Reconstruction with Mixture of Experts for Large Vision-Language Models Quantization
Chenwei Jia, Baoting Li, Xuchong Zhang +3
Post-Training Quantization (PTQ) has emerged as an effective technique for alleviating the substantial computational and memory overheads of Vision-Language Models (VLMs) by compre…
Latent Feature and Attention Dual Erasure Attack against Multi-View Diffusion Models for 3D Assets Protection
Jingwei Sun, Xuchong Zhang, Changfeng Sun +2
Multi-View Diffusion Models (MVDMs) enable remarkable improvements in the field of 3D geometric reconstruction, but the issue regarding intellectual property has received increasin…