This work introduces ECVA, a benchmark for Exploring the Causation of Video Anomalies, and proposes AnomShield, a video large language model for reasoning-intensive anomaly understanding that adopts a Chain-of-Thought reasoning paradigm to explicitly determine and extract anomaly-relevant temporal segments.
Hang Du, Guoshun Nan, Jiawen Qian et al.· International Journal of Com...· 11 citations· ⚡3
Image colorization is a fundamental yet challenging task in computer vision, aiming to recover plausible and spatially coherent colors from grayscale images. Recent advancements in diffusion models have enabled significant progress in this field, yet existing methods predominantly rely on multi-step diffusion processes...
Yutong Gao, Ying Zhang, Cong-Yan Lang et al.· IEEE Transactions on Image P...· 0 citations
This work proposes $O^2-CritiCuRL, a novel curriculum reinforcement learning framework that introduces critical-step awareness through an iterative offline-online paradigm, and employs a progressive step-level reinforcement learning strategy, where truncated chains guide the model to infer missing steps and refine its...
Wendi Deng, Hang Du, Guoshun Nan et al.· arXiv.org· 0 citations
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