Inverse lighting for non-homogeneous objects from color and depth image using wavelet representation. - Junsuk Choe; Hyunjung Shim (Computational Imaging, 2015)

Face Generation for Low-Shot Learning Using Generative Adversarial Networks. - Junsuk Choe; Song Park; Kyungmin Kim; Joo-Hyun Park; Dongseob Kim; Hyunjung Shim (ICCV Workshops, 2017)

Improved Techniques For Weakly-Supervised Object Localization. - Junsuk Choe; Joo Hyun Park; Hyunjung Shim (CoRR, 2018)

Unsupervised Object Localization using Generative Adversarial Networks. - Junsuk Choe; Joo Hyun Park; Hyunjung Shim (CoRR, 2018)

Robust approach to inverse lighting using RGB-D images. - Junsuk Choe; Hyunjung Shim (Inf. Sci., 2018)

Attention-Based Dropout Layer for Weakly Supervised Object Localization. - Junsuk Choe; Hyunjung Shim (CVPR, 2019)

CutMix: Regularization Strategy to Train Strong Classifiers With Localizable Features. - Sangdoo Yun; Dongyoon Han; Sanghyuk Chun; Seong Joon Oh; Youngjoon Yoo; Junsuk Choe (ICCV, 2019)

Evaluating Weakly Supervised Object Localization Methods Right. - Junsuk Choe; Seong Joon Oh; Seungho Lee; Sanghyuk Chun; Zeynep Akata; Hyunjung Shim (CVPR, 2020)

An Empirical Evaluation on Robustness and Uncertainty of Regularization Methods. - Sanghyuk Chun; Seong Joon Oh; Sangdoo Yun; Dongyoon Han; Junsuk Choe; Youngjoon Yoo (CoRR, 2020)

Evaluation for Weakly Supervised Object Localization: Protocol, Metrics, and Datasets. - Junsuk Choe; Seong Joon Oh; Sanghyuk Chun; Zeynep Akata; Hyunjung Shim (CoRR, 2020)

Re-Labeling ImageNet: From Single to Multi-Labels, From Global to Localized Labels. - Sangdoo Yun; Seong Joon Oh; Byeongho Heo; Dongyoon Han; Junsuk Choe; Sanghyuk Chun (CVPR, 2021)

Rethinking Spatial Dimensions of Vision Transformers. - Byeongho Heo; Sangdoo Yun; Dongyoon Han; Sanghyuk Chun; Junsuk Choe; Seong Joon Oh (ICCV, 2021)

Contrastive Attention Maps for Self-supervised Co-localization. - Minsong Ki; Youngjung Uh; Junsuk Choe; Hyeran Byun (ICCV, 2021)

Keep CALM and Improve Visual Feature Attribution. - Jae-Myung Kim; Junsuk Choe; Zeynep Akata; Seong Joon Oh (ICCV, 2021)

Normalization Matters in Weakly Supervised Object Localization. - Jeesoo Kim; Junsuk Choe; Sangdoo Yun; Nojun Kwak (ICCV, 2021)

Attention-Based Dropout Layer for Weakly Supervised Single Object Localization and Semantic Segmentation. - Junsuk Choe; Seungho Lee; Hyunjung Shim (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Region-based dropout with attention prior for weakly supervised object localization. - Junsuk Choe; Dongyoon Han; Sangdoo Yun; Jung-Woo Ha 001; Seong Joon Oh; Hyunjung Shim (Pattern Recognit., 2021)

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)

Neglected Free Lunch - Learning Image Classifiers Using Annotation Byproducts. - Dongyoon Han; Junsuk Choe; Seonghyeok Chun; John Joon Young Chung; Minsuk Chang; Sangdoo Yun; Jean Y. Song; Seong Joon Oh (ICCV, 2023)

Evaluation for Weakly Supervised Object Localization: Protocol, Metrics, and Datasets. - Junsuk Choe; Seong Joon Oh; Sanghyuk Chun; Seungho Lee; Zeynep Akata; Hyunjung Shim (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Entropy regularization for weakly supervised object localization. - Dongjun Hwang; Jung-Woo Ha 001; Hyunjung Shim; Junsuk Choe (Pattern Recognit. Lett., 2023)

Weakly Supervised Semantic Segmentation for Driving Scenes. - Dongseob Kim; Seungho Lee; Junsuk Choe; Hyunjung Shim (AAAI, 2024)

Small Objects Matters in Weakly-supervised Semantic Segmentation. - Cheolhyun Mun; Sanghuk Lee; Youngjung Uh; Junsuk Choe; Hyeran Byun (WACV, 2024)

LMLT: Low-to-high Multi-Level Vision Transformer for Image Super-Resolution. - Jeongsoo Kim; Jongho Nang; Junsuk Choe (CoRR, 2024)

NegMerge: Consensual Weight Negation for Strong Machine Unlearning. - Hyoseo Kim; Dongyoon Han; Junsuk Choe (CoRR, 2024)

Overcoming Domain Limitations in Open-vocabulary Segmentation. - Dongjun Hwang; Seong Joon Oh; Junsuk Choe (CoRR, 2024)

Sampling Bag of Views for Open-Vocabulary Object Detection. - Hojun Choi; Junsuk Choe; Hyunjung Shim (CoRR, 2024)

Discovering an inference recipe for weakly-supervised object localization. - Sanghuk Lee; Cheolhyun Mun; Youngjung Uh; Junsuk Choe; Hyeran Byun (Pattern Recognit., 2024)

Weakly-supervised Incremental learning for Semantic segmentation with Class Hierarchy. - Hyoseo Kim; Junsuk Choe (Pattern Recognit. Lett., 2024)

ConVis: Contrastive Decoding with Hallucination Visualization for Mitigating Hallucinations in Multimodal Large Language Models. - Yeji Park; Deokyeong Lee; Junsuk Choe; Buru Chang (AAAI, 2025)

Small object matters in weakly supervised object localization. - Dongjun Hwang; Seong Joon Oh; Junsuk Choe (Neurocomputing, 2025)

VHOIP: Video-based Human-Object Interaction recognition with CLIP Prior knowledge. - Doyeol Baek; Junsuk Choe (Pattern Recognit. Lett., 2025)

Curriculum learning with class-label composition for weakly supervised semantic segmentation. - Dongjun Hwang; Hyoseo Kim; Doyeol Baek; Hyunbin Kim; Inhye Kye; Junsuk Choe (Pattern Recognit. Lett., 2025)

Improving ViT interpretability with patch-level mask prediction. - Junyong Kang; Byeongho Heo; Junsuk Choe (Pattern Recognit. Lett., 2025)

Fog-free training for foggy scene understanding. - Minyoung Lee; Kyungwoo Song; Junsuk Choe (Pattern Recognit. Lett., 2025)