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cs.CV2026
Slot2Text: Object-Centric Visual Tokenization for Efficient and Spatially Traceable Surgical MLLMs
Guiqiu Liao, Matjaz Jogan, Daniel A. Hashimoto
Multimodal large language models (MLLM) for surgical scene understanding typically inject hundreds of dense visual tokens into a language model, leading to costly inference and lim…
cs.CV2026
Active Learning for Efficient Annotation of Surgical Videos with Weak Supervision
Manasa Dendukuri, Matjaz Jogan, Daniel A. Hashimoto +1
Precise spatial-temporal annotation of laparoscopic videos is time-consuming and requires expert knowledge. We propose a human-in-the-loop knowledge acquisition framework that comb…