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cs.CV2026
FinishStrong: Learning to End Well after Imperfect Start in Video Temporal Grounding
Yuda Zou, Boxiang Zhou, Xin Zhou +5
A poor start lowers the ceiling, but does not negate the value of finishing well. In autoregressive video temporal grounding, models systematically exhibit an endpoint performance…
cs.CV2026
CLIP-Map: Structured Matrix Mapping for Parameter-Efficient CLIP Compression
Kangjie Zhang, Wenxuan Huang, Xin Zhou +9
Contrastive Language-Image Pre-training (CLIP) has achieved widely applications in various computer vision tasks, e.g., text-to-image generation, Image-Text retrieval and Image cap…
cs.CV2023
RetriBooru: Leakage-Free Retrieval of Conditions from Reference Images for Subject-Driven Generation
Haoran Tang, Jieren Deng, Zhihong Pan +3
Diffusion-based methods have demonstrated remarkable capabilities in generating a diverse array of high-quality images, sparking interests for styled avatars, virtual try-on, and m…