| Online tracking by learning discriminative saliency map with convolutional neural network S Hong, T You, S Kwak, B Han International Conference on Machine Learning, 2015 | 1000 | 2015 |
| Learning Pixel-level Semantic Affinity with Image-level Supervision for Weakly Supervised Semantic Segmentation J Ahn, S Kwak Computer Vision and Pattern Recognition (CVPR), 2018 IEEE Conference on, 2018 | 829 | 2018 |
| Weakly Supervised Learning of Instance Segmentation with Inter-pixel Relations J Ahn, S Cho, S Kwak Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 600 | 2019 |
| Domain-Specific Batch Normalization for Unsupervised Domain Adaptation WG Chang, T You, S Seo, S Kwak, B Han Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 464 | 2019 |
| Proxy anchor loss for deep metric learning S Kim, D Kim, M Cho, S Kwak Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 404 | 2020 |
| Unsupervised object discovery and localization in the wild: Part-based matching with bottom-up region proposals M Cho, S Kwak, C Schmid, J Ponce Computer Vision and Pattern Recognition (CVPR), 2015 IEEE Conference on, 2015 | 311 | 2015 |
| Weakly Supervised Semantic Segmentation using Web-Crawled Videos S Hong, D Yeo, S Kwak, H Lee, B Han Computer Vision and Pattern Recognition (CVPR), 2017 IEEE Conference on, 2017 | 186 | 2017 |
| Weakly Supervised Semantic Segmentation Using Superpixel Pooling Network S Kwak, S Hong, B Han AAAI Conference on Artificial Intelligence, 2017 | 153 | 2017 |
| Learning occlusion with likelihoods for visual tracking S Kwak, W Nam, B Han, JH Han 2011 international conference on computer vision, 1551-1558, 2011 | 144 | 2011 |
| Motionsqueeze: Neural motion feature learning for video understanding H Kwon, M Kim, S Kwak, M Cho Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 143 | 2020 |
| Unsupervised object discovery and tracking in video collections S Kwak, M Cho, I Laptev, J Ponce, C Schmid Proceedings of the IEEE international conference on computer vision, 3173-3181, 2015 | 140 | 2015 |
| Deep Metric Learning Beyond Binary Supervision S Kim, M Seo, I Laptev, M Cho, S Kwak Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 120 | 2019 |
| Restr: Convolution-free referring image segmentation using transformers N Kim, D Kim, C Lan, W Zeng, S Kwak Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 115 | 2022 |
| Tackgeun You, Suha Kwak, and Bohyung Han. Online tracking by learning discriminative saliency map with convolutional neural network S Hong International conference on machine learning 1 (3), 2015 | 112 | 2015 |
| Generalized background subtraction based on hybrid inference by belief propagation and bayesian filtering S Kwak, T Lim, W Nam, B Han, JH Han 2011 International Conference on Computer Vision, 2174-2181, 2011 | 98 | 2011 |
| Online multi-target tracking by large margin structured learning S Kim, S Kwak, J Feyereisl, B Han Computer Vision–ACCV 2012: 11th Asian Conference on Computer Vision, Daejeon …, 2013 | 88 | 2013 |
| Semi-supervised semantic segmentation with error localization network D Kwon, S Kwak Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 77 | 2022 |
| Style neophile: Constantly seeking novel styles for domain generalization J Kang, S Lee, N Kim, S Kwak Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 74 | 2022 |
| Fifo: Learning fog-invariant features for foggy scene segmentation S Lee, T Son, S Kwak Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 57 | 2022 |
| Object Localization based on Structural SVM using Privileged Information J Feyereisl, S Kwak, J Son, B Han Advances in neural information processing systems 27, 2014 | 52 | 2014 |
Minsu ChoAssociate Professor of CSE & AI, POSTECHVerified email at postech.ac.kr
