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Donghyun Kim
Donghyun Kim
Research Staff Member, MIT-IBM Watson AI Lab
bu.edu의 이메일 확인됨 - 홈페이지
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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
4342019
Universal domain adaptation through self supervision
K Saito, D Kim, S Sclaroff, K Saenko
Advances in neural information processing systems 33, 16282-16292, 2020
1662020
Deep 3D face identification
D Kim, M Hernandez, J Choi, G Medioni
2017 IEEE international joint conference on biometrics (IJCB), 133-142, 2017
1242017
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
52*2021
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
522018
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
372021
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
332020
Learning to scale multilingual representations for vision-language tasks
A Burns, D Kim, D Wijaya, K Saenko, BA Plummer
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
312020
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
182021
Openmatch: Open-set consistency regularization for semi-supervised learning with outliers
K Saito, D Kim, K Saenko
arXiv preprint arXiv:2105.14148, 2021
182021
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
152021
A broad study of pre-training for domain generalization and adaptation
D Kim, K Wang, S Sclaroff, K Saenko
Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022
142022
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
142021
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
92022
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
A unified framework for domain adaptive pose estimation
D Kim, K Wang, K Saenko, M Betke, S Sclaroff
Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022
42022
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
4*2020
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
12022
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
Exploring Consistency in Cross-Domain Transformer for Domain Adaptive Semantic Segmentation
K Wang, D Kim, R Feris, K Saenko, M Betke
arXiv preprint arXiv:2211.14703, 2022
2022
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학술자료 1–20