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 | 153 | 2019 |
Re-VACNN: Steering convolutional neural network via real-time visual analytics S Chung, C Park, S Suh, K Kang, J Choo, BC Kwon Future of interactive learning machines workshop at the 30th annual …, 2016 | 24 | 2016 |
Exploring unlabeled faces for novel attribute discovery H Bahng, S Chung, S Yoo, J Choo Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 16 | 2020 |
Animeceleb: Large-scale animation celebheads dataset for head reenactment K Kim, S Park, J Lee, S Chung, J Lee, J Choo European Conference on Computer Vision, 414-430, 2022 | 13 | 2022 |
VATUN: Visual Analytics for Testing and Understanding Convolutional Neural Networks. C Park, S Yang, I Na, S Chung, S Shin, BC Kwon, D Park, J Choo EuroVis (Short Papers), 7-11, 2021 | 12 | 2021 |
A scanner deeply: Predicting gaze heatmaps on visualizations using crowdsourced eye movement data S Shin, S Chung, S Hong, N Elmqvist IEEE Transactions on Visualization and Computer Graphics 29 (1), 396-406, 2022 | 11 | 2022 |
Learning to Focus and Track Extreme Climate Events. S Kim, S Park, S Chung, J Lee, Y Lee, H Kim, M Prabhat, J Choo BMVC, 11, 2019 | 8 | 2019 |
Improving scene text recognition for character-level long-tailed distribution S Park, S Chung, J Lee, J Choo arXiv preprint arXiv:2304.08592, 2023 | 2 | 2023 |
Method, system and computer program for coloring based on deep learning JH Chang, JG Choo, SJ Yoo, SH Chung, GY Lee, HJ Bahng US Patent 11,816,145, 2023 | | 2023 |