Exploring visual prompts for adapting large-scale models H Bahng, A Jahanian, S Sankaranarayanan, P Isola arXiv preprint arXiv:2203.17274 1 (3), 4, 2022 | 353* | 2022 |
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 | 296 | 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 | 166 | 2020 |
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 | 151 | 2019 |
Coloring with words: Guiding image colorization through text-based palette generation H Bahng, S Yoo, W Cho, D Keetae Park, Z Wu, X Ma, J Choo Proceedings of the European Conference on Computer Vision (ECCV), 431-447, 2018 | 121 | 2018 |
ST-GRAT: Spatio-Temporal Graph Attention Network for Traffic Forecasting C Park, C Lee, H Bahng, Y Tae, S Jin, K Kim, S Ko, J Choo 29th ACM International Conference on Information and Knowledge Management …, 2020 | 36 | 2020 |
MEGAN: mixture of experts of generative adversarial networks for multimodal image generation DK Park, S Yoo, H Bahng, J Choo, N Park arXiv preprint arXiv:1805.02481, 2018 | 21 | 2018 |
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 |