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Our paper accepted to ACCV 2026
Sakang Hong, Haeyun Lee, Gunha Hong, Jinyoung Jung, Sanga Ahn, Kyungsu Lee, /“SFXGraph: Causal-Compositional Graph Learning for Stylized Sound Effects in Webtoons
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Our paper accepted to Knowledge-Based Systems
Eunsun Yun, Heechul Lim, Haeyun Lee, Kang-Wook Chon, Minjoong Jeong, /“QueCo: Query-Conditioned Consensus over Unverified Evidence for Training-Free Zero-Shot Anomaly Detection/”, Knowledge-Based Systems
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Our paper accepted to CVPR 2026
Jaesung Rim, Woohyeok Kim, Haeyun Lee, Heemin Yang, Ke Wang, Sunghyun Cho, "Augmenting Construction Safety Datasets with Training-Free Diffusion-Based PPE Editing", IEEE/CVF Conference On Computer Vision And Pattern Recognition 2026 (CVPR 2026) (AI Top Conference)
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Our paper accepted to Journal of Korean Institute of Communications and Information Sciences
Seong-Hyun Kim, Minseong Kim, Sewoong Kim, Haeyun Lee†, "Augmenting Construction Safety Datasets with Training-Free Diffusion-Based PPE Editing", Journal of Korean Institute of Communications and Information Sciences
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Our lab attended the 2025 KOSOMBE fall conference
2025년 11월 6일부터 8일까지 김해 인제대학교에서 진행된 대한의용생체공학회 추계 학술대회에 우리랩 멤버들(이해윤, 이찬근, 박준한)이 참가했습니다. 이찬근 학생은 "Box-Aware SAM: Robust YOLO-Prompted Ultrasound Segmentation with HF Guidance"라는 연구를 포스터 발표하였습니다.
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Our paper accepted to IEEE/CVF Winter Conference on Applications of Computer Vision 2026 (WACV 2026)
Heechul Lim, Minsoo Kim, Hyun-Boo Lee, Suk-Ju Kang, Kang-Wook Chon†,Haeyun Lee†, "Enhancing Reverse Distillation with Core Exemplar Learning for Unified Multi-Class Anomaly Detection", The IEEE/CVF Winter Conference on Applications of Computer Vision 2026 (WACV 2026)