audio-visual learning 1cross-modal retrieval 1object grounding 1omni-modal representation 1semantic-spatial modeling 1
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cs.CV2026
SceneBind: Binding What and Where Across Vision, Audio and Language
Mingfei Chen, Zijun Cui, Ruoke Zhang +2
SceneBind introduces an omni‑modal representation that jointly encodes what objects are and where they are in 3D space across vision, audio, and language, enabling cross‑modal scen…
cs.CV2026
Seeing Through Touch: Tactile-Driven Visual Localization of Material Regions
Seongyu Kim, Seungwoo Lee, Hyeonggon Ryu +2
We address the problem of tactile localization, where the goal is to identify image regions that share the same material properties as a tactile input. Existing visuo-tactile metho…
cs.CV2024
Let Me Finish My Sentence: Video Temporal Grounding with Holistic Text Understanding
Jongbhin Woo, Hyeonggon Ryu, Youngjoon Jang +2
Video Temporal Grounding (VTG) aims to identify visual frames in a video clip that match text queries. Recent studies in VTG employ cross-attention to correlate visual frames and t…