| Stargan: Unified generative adversarial networks for multi-domain image-to-image translation Y Choi, M Choi, M Kim, JW Ha, S Kim, J Choo Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 4702 | 2018 |
| A multi-organ nucleus segmentation challenge N Kumar, R Verma, D Anand, Y Zhou, OF Onder, E Tsougenis, H Chen, ... IEEE transactions on medical imaging 39 (5), 1380-1391, 2019 | 460 | 2019 |
| Reversible instance normalization for accurate time-series forecasting against distribution shift T Kim, J Kim, Y Tae, C Park, JH Choi, J Choo International Conference on Learning Representations, 2021 | 412 | 2021 |
| Utopian: User-driven topic modeling based on interactive nonnegative matrix factorization J Choo, C Lee, CK Reddy, H Park IEEE transactions on visualization and computer graphics 19 (12), 1992-2001, 2013 | 385 | 2013 |
| Reference-based sketch image colorization using augmented-self reference and dense semantic correspondence J Lee, E Kim, Y Lee, D Kim, J Chang, J Choo Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 370 | 2020 |
| Retainvis: Visual analytics with interpretable and interactive recurrent neural networks on electronic medical records BC Kwon, MJ Choi, JT Kim, E Choi, YB Kim, S Kwon, J Sun, J Choo IEEE transactions on visualization and computer graphics 25 (1), 299-309, 2018 | 344 | 2018 |
| Visual analytics for explainable deep learning J Choo, S Liu IEEE computer graphics and applications 38 (4), 84-92, 2018 | 324 | 2018 |
| Learning de-biased representations with biased representations H Bahng, S Chun, S Yun, J Choo, SJ Oh International Conference on Machine Learning, 528-539, 2020 | 320 | 2020 |
| Robustnet: Improving domain generalization in urban-scene segmentation via instance selective whitening S Choi, S Jung, H Yun, JT Kim, S Kim, J Choo Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 296 | 2021 |
| Cars can't fly up in the sky: Improving urban-scene segmentation via height-driven attention networks S Choi, JT Kim, J Choo Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 229 | 2020 |
| Viton-hd: High-resolution virtual try-on via misalignment-aware normalization S Choi, S Park, M Lee, J Choo Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 226 | 2021 |
| Short-text topic modeling via non-negative matrix factorization enriched with local word-context correlations T Shi, K Kang, J Choo, CK Reddy Proceedings of the 2018 world wide web conference, 1105-1114, 2018 | 224 | 2018 |
| iVisClustering: An interactive visual document clustering via topic modeling H Lee, J Kihm, J Choo, J Stasko, H Park Computer graphics forum 31 (3pt3), 1155-1164, 2012 | 224 | 2012 |
| Nonnegative matrix factorization for interactive topic modeling and document clustering D Kuang, J Choo, H Park Partitional clustering algorithms, 215-243, 2015 | 181 | 2015 |
| iVisClassifier: An interactive visual analytics system for classification based on supervised dimension reduction J Choo, H Lee, J Kihm, H Park 2010 IEEE Symposium on Visual Analytics Science and Technology, 27-34, 2010 | 179 | 2010 |
| ST-GRAT: A novel spatio-temporal graph attention networks for accurately forecasting dynamically changing road speed C Park, C Lee, H Bahng, Y Tae, S Jin, K Kim, S Ko, J Choo Proceedings of the 29th ACM international conference on information …, 2020 | 173 | 2020 |
| Image-to-image translation via group-wise deep whitening-and-coloring transformation W Cho, S Choi, DK Park, I Shin, J Choo Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 165 | 2019 |
| Visualizing for the non‐visual: Enabling the visually impaired to use visualization J Choi, S Jung, DG Park, J Choo, N Elmqvist Computer Graphics Forum 38 (3), 249-260, 2019 | 163 | 2019 |
| Coloring with limited data: Few-shot colorization via memory augmented networks S Yoo, H Bahng, S Chung, J Lee, J Chang, J Choo Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 152 | 2019 |
| Learning debiased representation via disentangled feature augmentation J Lee, E Kim, J Lee, J Lee, J Choo Advances in Neural Information Processing Systems 34, 25123-25133, 2021 | 147 | 2021 |
Haesun ParkRegents' Professor of Computational Science and Engineering, Georgia Institute of TechnologyBestätigte E-Mail-Adresse bei cc.gatech.edu
