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cs.CV2024
Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection
Wentao Bao, Kai Li, Yuxiao Chen +3
Action detection aims to detect (recognize and localize) human actions spatially and temporally in videos. Existing approaches focus on the closed-set setting where an action detec…
cs.CV2024★ 1 cited
Learning to Localize Actions in Instructional Videos with LLM-Based Multi-Pathway Text-Video Alignment
Yuxiao Chen, Kai Li, Wentao Bao +4
Learning to localize temporal boundaries of procedure steps in instructional videos is challenging due to the limited availability of annotated large-scale training videos. Recent…
cs.CV2024★ 1 cited
MCTR: Multi Camera Tracking Transformer
Alexandru Niculescu-Mizil, Deep Patel, Iain Melvin
Multi-camera tracking plays a pivotal role in various real-world applications. While end-to-end methods have gained significant interest in single-camera tracking, multi-camera tra…