Kangil Lee — accepted AI-conference papers

2026

UniSpector: Towards Universal Open-set Defect Recognition via Spectral-Contrastive Visual Prompting

Geonuk Kim, Minhoi Kim, Kangil Lee, Minsu Kim, Hyeonseong Jeon, Jeonghoon Han +2

CVPR 2026

Although industrial inspection systems should be capable of recognizing unprecedented defects, most existing approaches operate under a closed-set assumption, which prevents them from detecting novel anomalies. While visual prompting offers a scalable alternative for industrial inspection, existing

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2021

Pano-AVQA: Grounded Audio-Visual Question Answering on 360deg Videos

Heeseung Yun, Youngjae Yu, Wonsuk Yang, Kangil Lee, Gunhee Kim

ICCV 2021poster

360deg videos convey holistic views for the surroundings of a scene. It provides audio-visual cues beyond predetermined normal field of views and displays distinctive spatial relations on a sphere. However, previous benchmark tasks for panoramic videos are still limited to evaluate the semantic unde…

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