Jungbeom Lee

According to our database, Jungbeom Lee authored at least 16 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Anti-Adversarially Manipulated Attributions for Weakly Supervised Semantic Segmentation and Object Localization.

Jungbeom Lee, Eunji Kim, Jisoo Mok, Sungroh Yoon

IEEE Trans. Pattern Anal. Mach. Intell., March, 2024

Toward Interactive Regional Understanding in Vision-Large Language Models.

Jungbeom Lee, Sanghyuk Chun, Sangdoo Yun

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

2023

Improving Visual Prompt Tuning for Self-supervised Vision Transformers.

Seungryong Yoo, Eunji Kim, Dahuin Jung, Jungbeom Lee, Sungroh Yoon

Proceedings of the International Conference on Machine Learning, 2023

Weakly Supervised Referring Image Segmentation with Intra-Chunk and Inter-Chunk Consistency.

Jungbeom Lee, Sungjin Lee, Jinseok Nam, Seunghak Yu, Jaeyoung Do, Tara Taghavi

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Weakly Supervised Semantic Segmentation using Out-of-Distribution Data.

Jungbeom Lee, Seong Joon Oh, Sangdoo Yun, Junsuk Choe, Eunji Kim, Sungroh Yoon

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Bridging the Gap between Classification and Localization for Weakly Supervised Object Localization.

Eunji Kim, Siwon Kim, Jungbeom Lee, Hyunwoo Kim, Sungroh Yoon

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Perception Prioritized Training of Diffusion Models.

Jooyoung Choi, Jungbeom Lee, Chaehun Shin, Sungwon Kim, Hyunwoo Kim, Sungroh Yoon

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation.

Jungbeom Lee, Jooyoung Choi, Jisoo Mok, Sungroh Yoon

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Toward Spatially Unbiased Generative Models.

Jooyoung Choi, Jungbeom Lee, Yonghyun Jeong, Sungroh Yoon

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and Instance Segmentation.

Jungbeom Lee, Jihun Yi, Chaehun Shin, Sungroh Yoon

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic Segmentation.

Jungbeom Lee, Eunji Kim, Sungroh Yoon

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2019

Frame-to-Frame Aggregation of Active Regions in Web Videos for Weakly Supervised Semantic Segmentation.

Jungbeom Lee, Eunji Kim, Sungmin Lee, Jangho Lee, Sungroh Yoon

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

FickleNet: Weakly and Semi-Supervised Semantic Image Segmentation Using Stochastic Inference.

Jungbeom Lee, Eunji Kim, Sungmin Lee, Jangho Lee, Sungroh Yoon

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Mutual Suppression Network for Video Prediction using Disentangled Features.

Jungbeom Lee, Jangho Lee, Sungmin Lee, Sungroh Yoon

Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018

Robust Tumor Localization with Pyramid Grad-CAM.

Sungmin Lee, Jangho Lee, Jungbeom Lee, Chul-Kee Park, Sungroh Yoon

CoRR, 2018

MSnet: Mutual Suppression Network for Disentangled Video Representations.

Jungbeom Lee, Jangho Lee, Sungmin Lee, Sungroh Yoon

CoRR, 2018