arXiv Computer Vision
Action-Aligned Retrieval with Pairwise Multimodal Reranking for Text-Based Person Anomaly Search
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Heterogeneous Vision-Language Ensemble with Disagreement-Aware Reranking for Text-Based Person Anomaly Retrieval
arXiv:2608. 12843v1 Announce Type: cross Abstract: Text-based person anomaly retrieval aims to retrieve pedestrians exhibiting anomalous behaviors from a large image gallery using natural language descriptions.
arXiv AI
Sep 15
A Generative AI Integrated Multimodal Framework for Low-Latency Multi-Camera Person Re-Identification
arXiv:2609.14419v1 Announce Type: cross Abstract: Person re-identification (ReID) is essential for multi-camera surveillance and tracking, yet remains difficult due to viewpoint and illumination chan...
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Jun 8
Modality Gap-Driven Subspace Alignment Training Paradigm For Multimodal Large Language Models
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SinkPruner: Sink-Free Visual Token Pruning for Multimodal Large Language Models
SinkPruner is a training‑free framework that prunes visual tokens for multimodal large language models by first removing high‑norm redundant tokens with a visual sanitizer and then selectively keeping tokens that align with the text query using a text‑guided pruner. The coarse‑to‑fine design reduces attention sink and dispersion, enabling an 89% token reduction while preserving 96.5% of LLaVA‑1.5’s performance and 91.8% of Qwen2.5‑VL’s performance across twelve image‑language and four video‑language benchmarks. The visual sanitizer also improves existing pruning methods, showing strong transferability.
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ReText: Text Boosts Generalization in Image-Based Person Re-identification
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arXiv AI
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Glance, Scrutinize, and Think: Advancing Video Anomaly Detection from Training-Free to Agentic Reasoning
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