Unsupervised 2D image-based 3D model retrieval (IBMR) aims to retrieve semantically relevant 3D shapes for a given 2D image query when 3D annotations are unavailable. This setting is challenging due to severe modality gaps, category-imbalanced mini-batches, inconsistent cross-domain decision boundaries, and mismatched...
Nian Hu, Yibo Zhao, Xinhui Li et al.· Annual International ACM SIG...· 0 citations
A Multi-scale Temporal-Channel Collaboration (MTCC) detection framework based on the Mamba architecture with state space models (SSMs), which efficiently capture long-range temporal dependencies in video sequences and a module designed to extract features from the channel dimension of video.
Yi-Bo Zhao, Wen Zhang, Chun-Jie Ma et al.· ACM Transactions on Multimed...· 0 citations
A novel demographically balanced FDD benchmark is constructed to train and evaluate the fairness of detectors under both balanced and imbalanced population scenarios, and a novel expression and demographic perceptual vision-language model is introduced, termed FairForensics, for generalizable fair deepfake detection.
Yaning Zhang, Jiao Wu, Zan Gao et al.· 0 citations
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