21 papers
Plan-R1: Safe and Feasible Trajectory Planning as Language Modeling
Xiaolong Tang, Meina Kan, Shiguang Shan +1
Safe and feasible trajectory planning is critical for real-world autonomous driving systems. However, existing learning-based planners rely heavily on expert demonstrations, which…
EntropyScan: Towards Model-level Backdoor Detection in LVLMs via Visual Attention Entropy
Xuanyu Ge, Zhongqi Wang, Jie Zhang +2
Large Vision-Language Models (LVLMs) have demonstrated remarkable capabilities across various tasks, yet they remain vulnerable to backdoor attacks. Existing defense methods predom…
Component-Based Out-of-Distribution Detection
Wenrui Liu, Hong Chang, Ruibing Hou +2
Out-of-Distribution (OOD) detection requires sensitivity to subtle shifts without overreacting to natural In-Distribution (ID) diversity. However, from the viewpoint of detection g…
EgoMotion: Hierarchical Reasoning and Diffusion for Egocentric Vision-Language Motion Generation
Ruibing Hou, Mingyue Zhou, Yuwei Gui +5
Faithfully modeling human behavior in dynamic environments is a foundational challenge for embodied intelligence. While conditional motion synthesis has achieved significant advanc…
MATS: An Audio Language Model under Text-only Supervision
Wen Wang, Ruibing Hou, Hong Chang +2
Large audio-language models (LALMs), built upon powerful Large Language Models (LLMs), have exhibited remarkable audio comprehension and reasoning capabilities. However, the traini…
Revisiting Logit Distributions for Reliable Out-of-Distribution Detection
Jiachen Liang, Ruibing Hou, Minyang Hu +3
Out-of-distribution (OOD) detection is critical for ensuring the reliability of deep learning models in open-world applications. While post-hoc methods are favored for their effici…