Junsuk Choe
Junsuk Choe
Verified email at yonsei.ac.kr - Homepage
Title
Cited by
Cited by
Year
Cutmix: Regularization strategy to train strong classifiers with localizable features
S Yun, D Han, SJ Oh, S Chun, J Choe, Y Yoo
IEEE International Conference on Computer Vision (ICCV), 2019
612019
Face generation for low-shot learning using generative adversarial networks
J Choe, S Park, K Kim, JH Park, D Kim, H Shim
IEEE International Conference on Computer Vision Workshop (ICCVW), 2017
302017
Attention-based Dropout Layer for Weakly Supervised Object Localization
J Choe, H Shim
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019
222019
Improved techniques for weakly-supervised object localization
J Choe, JH Park, H Shim
arXiv preprint arXiv:1802.07888, 2018
32018
An Empirical Evaluation on Robustness and Uncertainty of Regularization Methods
S Chun, SJ Oh, S Yun, D Han, J Choe, Y Yoo
International Conference on Machine Learning Workshop (ICMLW), 2019
12019
Robust approach to inverse lighting using RGB-D images
J Choe, H Shim
Information Sciences 438, 73-94, 2018
12018
Inverse lighting for non-homogeneous objects from color and depth image using wavelet representation
J Choe, H Shim
IS&T/SPIE Electronic Imaging, 2015
12015
Attention-based Dropout Layer for Weakly Supervised Single Object Localization and Semantic Segmentation
J Choe, S Lee, H Shim
Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2020
2020
Evaluating Weakly Supervised Object Localization Methods Right
J Choe, SJ Oh, S Lee, S Chun, Z Akata, H Shim
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020
2020
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Articles 1–9