| 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 | 5426 | 2018 |
| 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 | 1133 | 2021 |
| 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 | 618 | 2019 |
| 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 | 446 | 2021 |
| 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 | 443 | 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 | 416 | 2013 |
| 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 | 399 | 2020 |
| 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 | 399 | 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 | 382 | 2018 |
| Visual analytics for explainable deep learning J Choo, S Liu IEEE computer graphics and applications 38 (4), 84-92, 2018 | 370 | 2018 |
| 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 | 255 | 2018 |
| 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 | 254 | 2020 |
| 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 | 236 | 2020 |
| High-resolution virtual try-on with misalignment and occlusion-handled conditions S Lee, G Gu, S Park, S Choi, J Choo European Conference on Computer Vision, 204-219, 2022 | 235 | 2022 |
| 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 | 234 | 2012 |
| Stableviton: Learning semantic correspondence with latent diffusion model for virtual try-on J Kim, G Gu, M Park, S Park, J Choo Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2024 | 215 | 2024 |
| 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 | 205 | 2021 |
| Nonnegative matrix factorization for interactive topic modeling and document clustering D Kuang, J Choo, H Park Partitional clustering algorithms, 215-243, 2014 | 205 | 2014 |
| 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 | 201 | 2019 |
| 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 | 195 | 2019 |
Haesun ParkRegents' Professor of Computational Science and Engineering, Georgia Institute of TechnologyVerified email at cc.gatech.edu
