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ORCIDJunsuk Choe
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Journal Articles
- 2024
[j7]Sanghuk Lee, Cheolhyun Mun, Youngjung Uh, Junsuk Choe
, Hyeran Byun:
Discovering an inference recipe for weakly-supervised object localization. Pattern Recognit. 156: 110838 (2024)- [j6]Hyoseo Kim, Junsuk Choe:
Weakly-supervised Incremental learning for Semantic segmentation with Class Hierarchy. Pattern Recognit. Lett. 182: 31-38 (2024) - 2023
- [j5]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): 1732-1748 (2023) - [j4]Dongjun Hwang, Jung-Woo Ha, Hyunjung Shim, Junsuk Choe:
Entropy regularization for weakly supervised object localization. Pattern Recognit. Lett. 169: 1-7 (2023) - 2021
- [j3]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): 4256-4271 (2021) - [j2]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: 107949 (2021) - 2018
- [j1]Junsuk Choe, Hyunjung Shim:
Robust approach to inverse lighting using RGB-D images. Inf. Sci. 438: 73-94 (2018)
Conference and Workshop Papers
- 2024
- [c14]Dongseob Kim, Seungho Lee, Junsuk Choe, Hyunjung Shim:
Weakly Supervised Semantic Segmentation for Driving Scenes. AAAI 2024: 2741-2749 - [c13]Cheolhyun Mun, Sanghuk Lee, Youngjung Uh, Junsuk Choe, Hyeran Byun:
Small Objects Matters in Weakly-supervised Semantic Segmentation. WACV 2024: 413-422 - 2023
- [c12]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: 20143-20155 - 2022
- [c11]Jungbeom Lee, Seong Joon Oh, Sangdoo Yun, Junsuk Choe, Eunji Kim, Sungroh Yoon:
Weakly Supervised Semantic Segmentation using Out-of-Distribution Data. CVPR 2022: 16876-16885 - 2021
- [c10]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: 2340-2350 - [c9]Minsong Ki, Youngjung Uh, Junsuk Choe, Hyeran Byun:
Contrastive Attention Maps for Self-supervised Co-localization. ICCV 2021: 2783-2792 - [c8]Jeesoo Kim, Junsuk Choe, Sangdoo Yun, Nojun Kwak:
Normalization Matters in Weakly Supervised Object Localization. ICCV 2021: 3407-3416 - [c7]Jae-Myung Kim, Junsuk Choe, Zeynep Akata, Seong Joon Oh:
Keep CALM and Improve Visual Feature Attribution. ICCV 2021: 8330-8340 - [c6]Byeongho Heo, Sangdoo Yun, Dongyoon Han, Sanghyuk Chun, Junsuk Choe, Seong Joon Oh:
Rethinking Spatial Dimensions of Vision Transformers. ICCV 2021: 11916-11925 - 2020
- [c5]Junsuk Choe, Seong Joon Oh, Seungho Lee, Sanghyuk Chun, Zeynep Akata, Hyunjung Shim:
Evaluating Weakly Supervised Object Localization Methods Right. CVPR 2020: 3130-3139 - 2019
- [c4]Junsuk Choe, Hyunjung Shim:
Attention-Based Dropout Layer for Weakly Supervised Object Localization. CVPR 2019: 2219-2228 - [c3]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: 6022-6031 - 2017
- [c2]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: 1940-1948 - 2015
- [c1]Junsuk Choe, Hyunjung Shim:
Inverse lighting for non-homogeneous objects from color and depth image using wavelet representation. Computational Imaging 2015: 94010L
Informal and Other Publications
- 2024
- [i17]Yeji Park, Deokyeong Lee, Junsuk Choe, Buru Chang:
ConVis: Contrastive Decoding with Hallucination Visualization for Mitigating Hallucinations in Multimodal Large Language Models. CoRR abs/2408.13906 (2024) - [i16]Jeongsoo Kim, Jongho Nang, Junsuk Choe:
LMLT: Low-to-high Multi-Level Vision Transformer for Image Super-Resolution. CoRR abs/2409.03516 (2024) - 2023
- [i15]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 abs/2303.17595 (2023) - [i14]Cheolhyun Mun, Sanghuk Lee, Youngjung Uh, Junsuk Choe, Hyeran Byun:
Small Objects Matters in Weakly-supervised Semantic Segmentation. CoRR abs/2309.14117 (2023) - [i13]Dongseob Kim, Seungho Lee, Junsuk Choe, Hyunjung Shim:
Weakly Supervised Semantic Segmentation for Driving Scenes. CoRR abs/2312.13646 (2023) - 2022
- [i12]Jungbeom Lee, Seong Joon Oh, Sangdoo Yun, Junsuk Choe, Eunji Kim, Sungroh Yoon:
Weakly Supervised Semantic Segmentation using Out-of-Distribution Data. CoRR abs/2203.03860 (2022) - 2021
- [i11]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 abs/2101.05022 (2021) - [i10]Byeongho Heo, Sangdoo Yun, Dongyoon Han, Sanghyuk Chun, Junsuk Choe, Seong Joon Oh:
Rethinking Spatial Dimensions of Vision Transformers. CoRR abs/2103.16302 (2021) - [i9]Jae-Myung Kim, Junsuk Choe, Zeynep Akata, Seong Joon Oh:
Keep CALM and Improve Visual Feature Attribution. CoRR abs/2106.07861 (2021) - [i8]Jeesoo Kim, Junsuk Choe, Sangdoo Yun, Nojun Kwak:
Normalization Matters in Weakly Supervised Object Localization. CoRR abs/2107.13221 (2021) - 2020
- [i7]Junsuk Choe, Seong Joon Oh, Seungho Lee, Sanghyuk Chun, Zeynep Akata, Hyunjung Shim:
Evaluating Weakly Supervised Object Localization Methods Right. CoRR abs/2001.07437 (2020) - [i6]Sanghyuk Chun, Seong Joon Oh, Sangdoo Yun, Dongyoon Han, Junsuk Choe, Youngjoon Yoo:
An Empirical Evaluation on Robustness and Uncertainty of Regularization Methods. CoRR abs/2003.03879 (2020) - [i5]Junsuk Choe, Seong Joon Oh, Sanghyuk Chun, Zeynep Akata, Hyunjung Shim:
Evaluation for Weakly Supervised Object Localization: Protocol, Metrics, and Datasets. CoRR abs/2007.04178 (2020) - 2019
- [i4]Sangdoo Yun, Dongyoon Han, Seong Joon Oh, Sanghyuk Chun, Junsuk Choe, Youngjoon Yoo:
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features. CoRR abs/1905.04899 (2019) - [i3]Junsuk Choe, Hyunjung Shim:
Attention-based Dropout Layer for Weakly Supervised Object Localization. CoRR abs/1908.10028 (2019) - 2018
- [i2]Junsuk Choe, Joo Hyun Park, Hyunjung Shim:
Improved Techniques For Weakly-Supervised Object Localization. CoRR abs/1802.07888 (2018) - [i1]Junsuk Choe, Joo Hyun Park, Hyunjung Shim:
Unsupervised Object Localization using Generative Adversarial Networks. CoRR abs/1806.00236 (2018)
Coauthor Index
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