Junsuk Choe

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 35

Top Topics

Object Localization

Regularization Methods

Top Venues

Pattern Recognit.

Publications

Hyoseo Kim, Junsuk Choe
Weakly-supervised Incremental learning for Semantic segmentation with Class Hierarchy. Pattern Recognit. Lett. 182 (2024)
Cheolhyun Mun, Sanghuk Lee, Youngjung Uh, Junsuk Choe, Hyeran Byun
Small Objects Matters in Weakly-supervised Semantic Segmentation. WACV (2024)
Sanghuk Lee, Cheolhyun Mun, Youngjung Uh, Junsuk Choe, Hyeran Byun
Discovering an inference recipe for weakly-supervised object localization. Pattern Recognit. 156 (2024)
Dongseob Kim, Seungho Lee, Junsuk Choe, Hyunjung Shim
Weakly Supervised Semantic Segmentation for Driving Scenes. AAAI (2024)
Dongjun Hwang, Jung-Woo Ha, Hyunjung Shim, Junsuk Choe
Entropy regularization for weakly supervised object localization. Pattern Recognit. Lett. 169 (2023)
Dongyoon Han, Junsuk Choe, Seonghyeok Chun, John Joon Young Chung, Minsuk Chang, Sangdoo Yun, Jean Y. Song, Seong Joon Oh
Neglected Free Lunch - Learning Image Classifiers Using Annotation Byproducts. ICCV (2023)
Dongseob Kim, Seungho Lee, Junsuk Choe, Hyunjung Shim
Weakly Supervised Semantic Segmentation for Driving Scenes. CoRR (2023)
Junsuk Choe, Seong Joon Oh, Sanghyuk Chun, Seungho Lee, Zeynep Akata, Hyunjung Shim
Evaluation for Weakly Supervised Object Localization: Protocol, Metrics, and Datasets. IEEE Trans. Pattern Anal. Mach. Intell. 45 (2) (2023)
Dongyoon Han, Junsuk Choe, Seonghyeok Chun, John Joon Young Chung, Minsuk Chang, Sangdoo Yun, Jean Y. Song, Seong Joon Oh
Neglected Free Lunch; Learning Image Classifiers Using Annotation Byproducts. CoRR (2023)
Cheolhyun Mun, Sanghuk Lee, Youngjung Uh, Junsuk Choe, Hyeran Byun
Small Objects Matters in Weakly-supervised Semantic Segmentation. CoRR (2023)
Jungbeom Lee, Seong Joon Oh, Sangdoo Yun, Junsuk Choe, Eunji Kim, Sungroh Yoon
Weakly Supervised Semantic Segmentation using Out-of-Distribution Data. CoRR (2022)
Jungbeom Lee, Seong Joon Oh, Sangdoo Yun, Junsuk Choe, Eunji Kim, Sungroh Yoon
Weakly Supervised Semantic Segmentation using Out-of-Distribution Data. CVPR (2022)
Junsuk Choe, Seungho Lee, Hyunjung Shim
Attention-Based Dropout Layer for Weakly Supervised Single Object Localization and Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 43 (12) (2021)
Junsuk Choe, Dongyoon Han, Sangdoo Yun, Jung-Woo Ha, Seong Joon Oh, Hyunjung Shim
Region-based dropout with attention prior for weakly supervised object localization. Pattern Recognit. 116 (2021)
Minsong Ki, Youngjung Uh, Junsuk Choe, Hyeran Byun
Contrastive Attention Maps for Self-supervised Co-localization. ICCV (2021)
Jeesoo Kim, Junsuk Choe, Sangdoo Yun, Nojun Kwak
Normalization Matters in Weakly Supervised Object Localization. ICCV (2021)
Sangdoo Yun, Seong Joon Oh, Byeongho Heo, Dongyoon Han, Junsuk Choe, Sanghyuk Chun
Re-Labeling ImageNet: From Single to Multi-Labels, From Global to Localized Labels. CVPR (2021)
Jeesoo Kim, Junsuk Choe, Sangdoo Yun, Nojun Kwak
Normalization Matters in Weakly Supervised Object Localization. CoRR (2021)
Byeongho Heo, Sangdoo Yun, Dongyoon Han, Sanghyuk Chun, Junsuk Choe, Seong Joon Oh
Rethinking Spatial Dimensions of Vision Transformers. CoRR (2021)
Sangdoo Yun, Seong Joon Oh, Byeongho Heo, Dongyoon Han, Junsuk Choe, Sanghyuk Chun
Re-labeling ImageNet: from Single to Multi-Labels, from Global to Localized Labels. CoRR (2021)
Jae Myung Kim, Junsuk Choe, Zeynep Akata, Seong Joon Oh
Keep CALM and Improve Visual Feature Attribution. CoRR (2021)
Jae-Myung Kim, Junsuk Choe, Zeynep Akata, Seong Joon Oh
Keep CALM and Improve Visual Feature Attribution. ICCV (2021)
Byeongho Heo, Sangdoo Yun, Dongyoon Han, Sanghyuk Chun, Junsuk Choe, Seong Joon Oh
Rethinking Spatial Dimensions of Vision Transformers. ICCV (2021)
Junsuk Choe, Seong Joon Oh, Seungho Lee, Sanghyuk Chun, Zeynep Akata, Hyunjung Shim
Evaluating Weakly Supervised Object Localization Methods Right. CVPR (2020)
Junsuk Choe, Seong Joon Oh, Seungho Lee, Sanghyuk Chun, Zeynep Akata, Hyunjung Shim
Evaluating Weakly Supervised Object Localization Methods Right. CoRR (2020)
Sanghyuk Chun, Seong Joon Oh, Sangdoo Yun, Dongyoon Han, Junsuk Choe, Youngjoon Yoo
An Empirical Evaluation on Robustness and Uncertainty of Regularization Methods. CoRR (2020)
Junsuk Choe, Seong Joon Oh, Sanghyuk Chun, Zeynep Akata, Hyunjung Shim
Evaluation for Weakly Supervised Object Localization: Protocol, Metrics, and Datasets. CoRR (2020)
Junsuk Choe, Hyunjung Shim
Attention-based Dropout Layer for Weakly Supervised Object Localization. CoRR (2019)
Sangdoo Yun, Dongyoon Han, Sanghyuk Chun, Seong Joon Oh, Youngjoon Yoo, Junsuk Choe
CutMix: Regularization Strategy to Train Strong Classifiers With Localizable Features. ICCV (2019)
Sangdoo Yun, Dongyoon Han, Seong Joon Oh, Sanghyuk Chun, Junsuk Choe, Youngjoon Yoo
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features. CoRR (2019)
Junsuk Choe, Hyunjung Shim
Attention-Based Dropout Layer for Weakly Supervised Object Localization. CVPR (2019)
Junsuk Choe, Hyunjung Shim
Robust approach to inverse lighting using RGB-D images. Inf. Sci. 438 (2018)
Junsuk Choe, Joo Hyun Park, Hyunjung Shim
Improved Techniques For Weakly-Supervised Object Localization. CoRR (2018)
Junsuk Choe, Joo Hyun Park, Hyunjung Shim
Unsupervised Object Localization using Generative Adversarial Networks. CoRR (2018)
Junsuk Choe, Song Park, Kyungmin Kim, Joo-Hyun Park, Dongseob Kim, Hyunjung Shim
Face Generation for Low-Shot Learning Using Generative Adversarial Networks. ICCV Workshops (2017)
Junsuk Choe, Hyunjung Shim
Inverse lighting for non-homogeneous objects from color and depth image using wavelet representation. Computational Imaging (2015)