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Donghyun Kim
Donghyun Kim
Research Staff Member, MIT-IBM Watson AI Lab
Bestätigte E-Mail-Adresse bei bu.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
3762019
Universal domain adaptation through self supervision
K Saito, D Kim, S Sclaroff, K Saenko
Advances in neural information processing systems 33, 16282-16292, 2020
1372020
Deep 3D face identification
D Kim, M Hernandez, J Choi, G Medioni
2017 IEEE international joint conference on biometrics (IJCB), 133-142, 2017
1152017
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
482018
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
322020
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
312020
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
282020
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
242021
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
182021
OpenMatch: Open-set Consistency Regularization for Semi-supervised Learning with Outliers
K Saito, D Kim, K Saenko
arXiv preprint arXiv:2105.14148, 2021
122021
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
122021
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
112021
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
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
82021
VisDA-2021 Competition: Universal Domain Adaptation to Improve Performance on Out-of-Distribution Data
D Bashkirova, D Hendrycks, D Kim, H Liao, S Mishra, C Rajagopalan, ...
NeurIPS 2021 Competitions and Demonstrations Track, 66-79, 2022
52022
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
42022
A Unified Framework for Domain Adaptive Pose Estimation
D Kim, K Wang, K Saenko, M Betke, S Sclaroff
arXiv preprint arXiv:2204.00172, 2022
22022
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
CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning
JS Smith, L Karlinsky, V Gutta, P Cascante-Bonilla, D Kim, A Arbelle, ...
arXiv preprint arXiv:2211.13218, 2022
2022
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