2 citations · 5 across the 10 of their papers we have counts for
4 papers · 1 filter
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…
Video Diffusion Models Excel at Tracking Similar-Looking Objects Without Supervision
Chenshuang Zhang, Kang Zhang, Joon Son Chung +3
Distinguishing visually similar objects by their motion remains a critical challenge in computer vision. Although supervised trackers show promise, contemporary self-supervised tra…
Hearing and Seeing Through CLIP: A Framework for Self-Supervised Sound Source Localization
Sooyoung Park, Arda Senocak, Joon Son Chung
Large-scale vision-language models demonstrate strong multimodal alignment and generalization across diverse tasks. Among them, CLIP stands out as one of the most successful approa…
AVHBench: A Cross-Modal Hallucination Benchmark for Audio-Visual Large Language Models
Kim Sung-Bin, Oh Hyun-Bin, JungMok Lee +3
Following the success of Large Language Models (LLMs), expanding their boundaries to new modalities represents a significant paradigm shift in multimodal understanding. Human perce…