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Donghyun Kim
Donghyun Kim
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Title
Cited by
Cited by
Year
Semi-supervised domain adaptation via minimax entropy
K Saito, D Kim, S Sclaroff, T Darrell, K Saenko
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
3042019
Deep 3D face identification
D Kim, M Hernandez, J Choi, G Medioni
2017 IEEE international joint conference on biometrics (IJCB), 133-142, 2017
1042017
Universal domain adaptation through self supervision
K Saito, D Kim, S Sclaroff, K Saenko
Advances in neural information processing systems 33, 16282-16292, 2020
972020
Excitation backprop for RNNs
SA Bargal, A Zunino, D Kim, J Zhang, V Murino, S Sclaroff
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
442018
Mule: Multimodal universal language embedding
D Kim, K Saito, K Saenko, S Sclaroff, B Plummer
Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 11254 …, 2020
242020
Cross-domain self-supervised learning for domain adaptation with few source labels
D Kim, K Saito, TH Oh, BA Plummer, S Sclaroff, K Saenko
arXiv preprint arXiv:2003.08264, 2020
232020
Learning to scale multilingual representations for vision-language tasks
A Burns, D Kim, D Wijaya, K Saenko, BA Plummer
European Conference on Computer Vision, 197-213, 2020
222020
Self-supervised visual attribute learning for fashion compatibility
D Kim, K Saito, S Mishra, S Sclaroff, K Saenko, BA Plummer
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
112021
Learning cross-modal contrastive features for video domain adaptation
D Kim, YH Tsai, B Zhuang, X Yu, S Sclaroff, K Saenko, M Chandraker
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
102021
Accurate 3D face modeling and recognition from RGB-D stream in the presence of large pose changes
D Kim, J Choi, JT Leksut, G Medioni
2016 IEEE International Conference on Image Processing (ICIP), 3011-3015, 2016
92016
Cds: Cross-domain self-supervised pre-training
D Kim, K Saito, TH Oh, BA Plummer, S Sclaroff, K Saenko
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
82021
Tune it the right way: Unsupervised validation of domain adaptation via soft neighborhood density
K Saito, D Kim, P Teterwak, S Sclaroff, T Darrell, K Saenko
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
52021
A Broad Study of Pre-training for Domain Generalization and Adaptation
D Kim, K Wang, S Sclaroff, K Saenko
arXiv preprint arXiv:2203.11819, 2022
22022
Openmatch: Open-set semi-supervised learning with open-set consistency regularization
K Saito, D Kim, K Saenko
Advances in Neural Information Processing Systems 34, 25956-25967, 2021
22021
Visda-2021 competition universal domain adaptation to improve performance on out-of-distribution data
D Bashkirova, D Hendrycks, D Kim, S Mishra, K Saenko, K Saito, ...
arXiv preprint arXiv:2107.11011, 2021
22021
OpenMatch: Open-set Consistency Regularization for Semi-supervised Learning with Outliers
K Saito, D Kim, K Saenko
arXiv preprint arXiv:2105.14148, 2021
22021
Multi-way encoding for robustness
D Kim, S Bargal, J Zhang, S Sclaroff
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020
22020
MILA: Multi-Task Learning from Videos via Efficient Inter-Frame Attention
D Kim, T Lan, C Zou, N Xu, BA Plummer, S Sclaroff, J Eledath, G Medioni
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
12021
Temporal Relevance Analysis for Video Action Models
Q Fan, D Kim, S Sclaroff, K Saenko, SA Bargal
arXiv preprint arXiv:2204.11929, 2022
2022
A Unified Framework for Domain Adaptive Pose Estimation
D Kim, K Wang, K Saenko, M Betke, S Sclaroff
arXiv preprint arXiv:2204.00172, 2022
2022
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Articles 1–20