24 papers
Action Hints: Semantic Typicality and Context Uniqueness for Generalizable Skeleton-based Video Anomaly Detection
Canhui Tang, Sanping Zhou, Haoyue Shi +1
Zero-Shot Video Anomaly Detection (ZS-VAD) requires temporally localizing anomalies without target domain training data, which is a crucial task due to various practical concerns,…
Advancing Pre-trained Teacher: Towards Robust Feature Discrepancy for Anomaly Detection
Canhui Tang, Sanping Zhou, Yizhe Li +2
With the wide application of knowledge distillation between an ImageNet pre-trained teacher model and a learnable student model, unsupervised anomaly detection has witnessed a sign…
Efficient Camera Pose Augmentation for View Generalization in Robotic Policy Learning
Sen Wang, Huaiyi Dong, Jingyi Tian +7
Prevailing 2D-centric visuomotor policies exhibit a pronounced deficiency in novel view generalization, as their reliance on static observations hinders consistent action mapping a…
Forgetting Similar Samples: Can Machine Unlearning Do it Better?
Heng Xu, Tianqing Zhu, Dayong Ye +3
Machine unlearning, a process enabling pre-trained models to remove the influence of specific training samples, has attracted significant attention in recent years. Although extens…
HumanSense: From Multimodal Perception to Empathetic Context-Aware Responses through Reasoning MLLMs
Zheng Qin, Ruobing Zheng, Yabing Wang +4
While Multimodal Large Language Models (MLLMs) show immense promise for achieving truly human-like interactions, progress is hindered by the lack of fine-grained evaluation framewo…
UniLayDiff: A Unified Diffusion Transformer for Content-Aware Layout Generation
Zeyang Liu, Le Wang, Sanping Zhou +4
Content-aware layout generation is a critical task in graphic design automation, focused on creating visually appealing arrangements of elements that seamlessly blend with a given…