MSnet: Mutual Suppression Network for Disentangled Video Representations. - Jungbeom Lee; Jangho Lee 002; Sungmin Lee 001; Sungroh Yoon (CoRR, 2018)

Robust Tumor Localization with Pyramid Grad-CAM. - Sungmin Lee 001; Jangho Lee 002; Jungbeom Lee; Chul-Kee Park; Sungroh Yoon (CoRR, 2018)

Mutual Suppression Network for Video Prediction using Disentangled Features. - Jungbeom Lee; Jangho Lee 002; Sungmin Lee 001; Sungroh Yoon (BMVC, 2019)

FickleNet: Weakly and Semi-Supervised Semantic Image Segmentation Using Stochastic Inference. - Jungbeom Lee; Eunji Kim 002; Sungmin Lee 001; Jangho Lee 002; Sungroh Yoon (CVPR, 2019)

Frame-to-Frame Aggregation of Active Regions in Web Videos for Weakly Supervised Semantic Segmentation. - Jungbeom Lee; Eunji Kim 002; Sungmin Lee 001; Jangho Lee 002; Sungroh Yoon (ICCV, 2019)

Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic Segmentation. - Jungbeom Lee; Eunji Kim 002; Sungroh Yoon (CVPR, 2021)

BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and Instance Segmentation. - Jungbeom Lee; Jihun Yi; Chaehun Shin; Sungroh Yoon (CVPR, 2021)

Toward Spatially Unbiased Generative Models. - Jooyoung Choi; Jungbeom Lee; Yonghyun Jeong; Sungroh Yoon (ICCV, 2021)

Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation. - Jungbeom Lee; Jooyoung Choi; Jisoo Mok; Sungroh Yoon (NeurIPS, 2021)

Perception Prioritized Training of Diffusion Models. - Jooyoung Choi; Jungbeom Lee; Chaehun Shin; Sungwon Kim 001; Hyunwoo Kim; Sungroh Yoon (CVPR, 2022)

Bridging the Gap between Classification and Localization for Weakly Supervised Object Localization. - Eunji Kim 002; Siwon Kim; Jungbeom Lee; Hyunwoo Kim; Sungroh Yoon (CVPR, 2022)

Weakly Supervised Semantic Segmentation using Out-of-Distribution Data. - Jungbeom Lee; Seong Joon Oh; Sangdoo Yun; Junsuk Choe; Eunji Kim 002; Sungroh Yoon (CVPR, 2022)

Weakly Supervised Referring Image Segmentation with Intra-Chunk and Inter-Chunk Consistency. - Jungbeom Lee; Sungjin Lee; Jinseok Nam; Seunghak Yu; Jaeyoung Do; Tara Taghavi (ICCV, 2023)

Improving Visual Prompt Tuning for Self-supervised Vision Transformers. - Seungryong Yoo; Eunji Kim 002; Dahuin Jung; Jungbeom Lee; Sungroh Yoon (ICML, 2023)

Toward Interactive Regional Understanding in Vision-Large Language Models. - Jungbeom Lee; Sanghyuk Chun; Sangdoo Yun (NAACL-HLT, 2024)

Anti-Adversarially Manipulated Attributions for Weakly Supervised Semantic Segmentation and Object Localization. - Jungbeom Lee; Eunji Kim 002; Jisoo Mok; Sungroh Yoon (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Know "No" Better: A Data-Driven Approach for Enhancing Negation Awareness in CLIP. - Junsung Park; Jungbeom Lee; Jongyoon Song; Sangwon Yu; Dahuin Jung; Sungroh Yoon (CoRR, 2025)

Negative-Guided Subject Fidelity Optimization for Zero-Shot Subject-Driven Generation. - Chaehun Shin; Jooyoung Choi; Johan Barthelemy; Jungbeom Lee; Sungroh Yoon (CoRR, 2025)