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cs.CV2026
Open-World Video Segmentation
Qing Su, Kaiyang Li, Yuan Zhuang +2
While video segmentation has advanced rapidly on short clips and closed-set benchmarks, open-world video segmentation remains largely unexplored. The challenge is twofold: (1) exis…
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
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…