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cs.AI2026
VD-DeepStack: Bridging Visual Comparison and Language Reasoning for Few-Shot Anomaly Detection
Mengyang Zhao, Zhuolin He, Haiyang Yu +9
Few-shot visual anomaly detection is fundamentally a visual comparison task, requiring fine-grained inspection of a query against normal references. Many recent methods based on la…
cs.CV2026
Counterfactual Attention Policy Distillation for Temporal Video Grounding
Shaobo Ju, Haiyang Yu, Xuecheng Wu +6
Temporal video grounding is a key capability of advanced Multimodal Large Language Models (MLLMs) for the thorough understanding of video events, which is however often limited by…
cs.CV2026
ACPruner: Visual Token Pruning as Biased Attention Coverage Maximization in LVLMs
Xu Li, Yuxuan Liang, Yi Zheng +6
Large Vision-Language Models (LVLMs) face significant computational inefficiencies caused by the large number of visual tokens. Existing visual token pruning methods mainly focus o…