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cs.CV2026
Fine-grained CLIP fine-tuning with self-annotated region alignment
Chenyang Zhao, Wei Lin, Janet H. Hsiao +1
Contrastive Language-Image Pre-training (CLIP) has been shown to have limitations in its fine-grained dense feature representation, due to its pre-training focusing on matching the…
cs.CV2026
GenLie: A Global-Enhanced Lie Detection Network under Sparsity and Semantic Interference
Zongshun Zhang, Yao Liu, Qiao Liu +5
Video-based lie detection aims to identify deceptive behaviors from visual cues. Despite recent progress, its core challenge lies in learning sparse yet discriminative representati…
cs.CV2026
Exclusivity-Guided Mask Learning for Semi-Supervised Crowd Instance Segmentation and Counting
Jiyang Huang, Hongru Chen, Wei Lin +2
Semi-supervised crowd analysis is a prominent area of research, as unlabeled data are typically abundant and inexpensive to obtain. However, traditional point-based annotations con…