2 papers
cs.CV2026
MAVEN: A Multi-stage Agentic Annotation Pipeline for Video Reasoning Tasks
Han Zhang, Wanting Jiang, Tomasz Kornuta +2
Training Vision Language Models (VLMs) for video event reasoning requires high-quality structured annotations capturing not only what happened, but when, where, why, and with what…
cs.CV2025
Gradient-Attention Guided Dual-Masking Synergetic Framework for Robust Text-based Person Retrieval
Tianlu Zheng, Yifan Zhang, Xiang An +3
Although Contrastive Language-Image Pre-training (CLIP) exhibits strong performance across diverse vision tasks, its application to person representation learning faces two critica…