arXiv Computer Vision
ReGround-Surg: Reliability-Guided Anchor Grounding for Referring Surgical Video Segmentation
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LD-RSVIS: A Large-Scale and Diverse Benchmark for Referring Surgical Video Instrument Segmentation
arXiv:2609.23067v1 Announce Type: new Abstract: Referring surgical video instrument segmentation (RSVIS) aims at segmenting the instrument in a surgical video, given a textual description. Despite re...
arXiv Computer Vision
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Dense Structural Priors for Sparse Functional Landmark Localization in Surgical Videos
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arXiv Computer Vision
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Event-Driven Refresh and Recurrence Memory to Reduce Stale Grounding in Referring Video Object Segmentation
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arXiv Computer Vision
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SurgMotion: A Video-Native Foundation Model for Universal Understanding of Surgical Videos
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arXiv Computer Vision
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HeiCo-FOCUS: A Clinically Grounded Dataset for Long-Context Video Understanding
arXiv:2610.10156v1 Announce Type: new Abstract: Recent advances in Vision-Language Models (VLMs) have led to rapid progress in video understanding across a wide range of benchmark tasks. However, exi...