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Si-Woo Lim

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#small language model Preprint Sep 2026

Event-Driven Refresh and Recurrence Memory to Reduce Stale Grounding in Referring Video Object Segmentation

End-to-end runtime analysis further confirms that the overhead introduced by tracking, CLIP-based recurrence matching, and the identifiability gate remains modest relative to the dominant Sa2VA inference cost, thereby validating the efficiency of the proposed pipeline.

Abu Hanif Muhammad Syarubany, Jaehyun Jang, Si-Woo Lim et al. · 0 citations
Jul 2026

TanGO: Training-Free 3D Editing via Tangent-Space Guidance and Optimization

TanGO is proposed, a training-free framework that enables adaptive per-token steering in the tangent space of generative dynamics and substantially reduces structural artifacts and achieves state-of-the-art performance, outperforming existing 3D editing baselines.

Si-Woo Lim, Sunjae Yoon, Gwanhyeong Koo et al. · 1 citation

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