| Attention-Based Dropout Layer for Weakly Supervised Object Localization J Choe, H Shim IEEE Conference on Computer Vision and Pattern Recognition (Oral), 2219-2228, 2019 | 569 | 2019 |
| Railroad is not a train: Saliency as pseudo-pixel supervision for weakly supervised semantic segmentation S Lee, M Lee, J Lee, H Shim Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 285 | 2021 |
| 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 | 228 | 2020 |
| Rethinking the truly unsupervised image-to-image translation K Baek, Y Choi, Y Uh, J Yoo, H Shim Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 130 | 2021 |
| MGGAN: Solving Mode Collapse Using Manifold-Guided Training D Bang, H Shim Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 100 | 2021 |
| Few-shot font generation with localized style representations and factorization S Park, S Chun, J Cha, B Lee, H Shim Proceedings of the AAAI conference on artificial intelligence 35 (3), 2393-2402, 2021 | 95 | 2021 |
| A performance comparison of convolutional neural network‐based image denoising methods: The effect of loss functions on low‐dose CT images B Kim, M Han, H Shim, J Baek Medical physics 46 (9), 3906-3923, 2019 | 95 | 2019 |
| Multiple Heads are Better than One: Few-shot Font Generation with Multiple Localized Experts S Park, S Chun, J Cha, B Lee, H Shim Proceedings of the IEEE/CVF International Conference on Computer Vision, 2021 | 90 | 2021 |
| Threshold matters in wsss: Manipulating the activation for the robust and accurate segmentation model against thresholds M Lee, D Kim, H Shim Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 86 | 2022 |
| Face generation for low-shot learning using generative adversarial networks J Choe, S Park, K Kim, J Hyun Park, D Kim, H Shim Proceedings of the IEEE international conference on computer vision …, 2017 | 84 | 2017 |
| A subspace model-based approach to face relighting under unknown lighting and poses H Shim, J Luo, T Chen IEEE Transactions on Image Processing 17 (8), 1331-1341, 2008 | 79 | 2008 |
| Collaborative Distillation for Top-N Recommendation J Lee, M Choi, J Lee, H Shim IEEE International Conference on Data Mining (Oral), 2019 | 66 | 2019 |
| Improved training of generative adversarial networks using representative features D Bang, H Shim International Conference on Machine Learning (ICML) 2018, http://proceedings …, 2018 | 47 | 2018 |
| GridMix: Strong regularization through local context mapping K Baek, D Bang, H Shim Pattern Recognition 109, 107594, 2021 | 44 | 2021 |
| Psynet: Self-supervised approach to object localization using point symmetric transformation K Baek, M Lee, H Shim Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 10451 …, 2020 | 40 | 2020 |
| Rigid and non-rigid motion artifact reduction in X-ray CT using attention module Y Ko, S Moon, J Baek, H Shim Medical Image Analysis 67, 101883, 2021 | 39 | 2021 |
| Recovering Translucent Object using a Single Time-of-flight Depth Camera H Shim, S Lee IEEE Transaction on Circuit and Systems for Video Technology (TCSVT), 2016 | 37 | 2016 |
| Apparatus and method extracting light and texture, and rendering apparatus using light and texture HJ Shim US Patent 8,687,001, 2014 | 35 | 2014 |
| Evaluation for weakly supervised object localization: Protocol, metrics, and datasets J Choe, SJ Oh, S Chun, S Lee, Z Akata, H Shim IEEE transactions on pattern analysis and machine intelligence 45 (2), 1732-1748, 2022 | 33 | 2022 |
| Time-of-flight sensor and color camera calibration for multi-view acquisition H Shim, R Adelsberger, JD Kim, SM Rhee, T Rhee, JY Sim, M Gross, ... The Visual Computer 28, 1139-1151, 2012 | 33 | 2012 |
Jongwuk LeeSungkyunkwan University, South KoreaEmail verificata su skku.edu