Preprints

- Saito, Kuniaki, Donghyun Kim, Piotr Teterwak, Rogerio Feris, and Kate Saenko. Mind the Backbone: Minimizing Backbone Distortion for Robust Object Detection. arXiv

- Cascante-Bonilla P, Shehada K, Smith JS, Doveh S, Kim D, Panda R, Varol G, Oliva A, Ordonez V, Feris R, Karlinsky L. Going Beyond Nouns With Vision & Language Models Using Synthetic Data. arXiv

- Kaihong Wang, Donghyun Kim, Rogerio Feris, Margrit Betke, Kate Saenko. Exploring Consistency in Cross-Domain Transformer for Domain Adaptive Semantic Segmentation. arXiv

- Jongwoo Park, Kumara Kahatapitiya, Donghyun Kim, Shivchander Sudalairaj, Quanfu Fan, Michael S Ryoo. Grafting Vision Transformers. arXiv

- Quanfu Fan, Donghyun Kim, Richard Chen, Stan Sclaroff, Kate Saenko, Sarah Adel Bargal. Temporal Relevance Analysis for Video Action Modeling. arXiv

Conference Publications

- Doveh, S., Arbelle, A., Harary, S., Panda, R., Herzig, R., Schwartz, E., Kim, D., Giryes, R., Feris, R., Ullman, S. and Karlinsky, L. Teaching Structured Vision&Language Concepts to Vision&Language Models. CVPR, 2023. arXiv

- Smith, J.S., Karlinsky, L., Gutta, V., Cascante-Bonilla, P., Kim, D., Arbelle, A., Panda, R., Feris, R. and Kira, Z. CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning. CVPR, 2023. arXiv

- Smith, J.S., Cascante-Bonilla, P., Arbelle, A., Kim, D., Panda, R., Cox, D., Yang, D., Kira, Z., Feris, R. and Karlinsky, L. ConStruct-VL: Data-Free Continual Structured VL Concepts Learning. CVPR, 2023. arXiv

- D. Bashkirova, P. Teterwak, S. Mishra, D. Kim, , R. Lai, F. Alladkani, J. Akl, B. Calli, V. Ablavsky, S. Bargal, K. Saenko. VisDA 2022 Challenge: Sim2Real Domain Adaptation for Industrial Recycling. Neural Information Processing Systems (NeurIPS) Competition, 2022.

- Donghyun Kim, Kaihong Wang, Stan Sclaroff, and Kate Saenko. A Broad Study of Pre-training for Domain Generalization and Adaptation. ECCV, 2022. arXiv

- Donghyun Kim*, Kaihong Wang*, Kate Saenko, Margrit Betke, Stan Sclaroff. A Unified Framework for Domain Adaptive Pose Estimation. ECCV, 2022. arXiv

- D. Bashkirova*, D Hendrycks*, D. Kim*, S. Mishra*, K. Saenko*, K. Saito*, P. Teterwak*, B. Usman*. VisDA-2021 Competition: Universal Domain Adaptation to Improve Performance on Out-of-Distribution Data. Neural Information Processing Systems (NeurIPS) Competition, 2021.

- Kuniaki Saito, Donghyun Kim, Kate Saenko. OpenMatch: Open-set Consistency Regularization for Semi-supervised Learning with Outliers. NeurIPS, 2021. arXiv

- Donghyun Kim, Kuniaki Saito, Tae-Hyun Oh, Bryan A. Plummer, Stan Sclaroff, Kate Saenko. CDSP: Cross-domain Self-supervised Pre-training. ICCV, 2021. arXiv

- Donghyun Kim, Yi-Hsuan Tsai, Bingbing Zhuang, Xiang Yu, Stan Sclaroff, Kate Saenko, Manmohan Chandraker. Learning Cross-Modal Contrastive Features for Video Domain Adaptation. ICCV, 2021.

- Kuniaki Saito, Donghyun Kim, Piotr Teterwak, Stan Sclaroff, Trevor Darrell, Kate Saenko. Tune it the Right Way: Unsupervised Validation of Domain Adaptation via Neighborhood Density. ICCV, 2021.

- Donghyun Kim, Kuniaki Saito, Kate Saenko, Stan Sclaroff, Bryan A Plummer. Self-supervised Visual Attribute Learning for Fashion Compatibility. ICCV VIPriors Workshop, 2021. arXiv

- Donghyun Kim, Tian Lan, Chuhang Zou, Ning Xu, Bryan A Plummer, Stan Sclaroff, Jayan Eledath, Gerard Medioni. Multi-Task Learning from Videos via Efficient Inter-Frame Attention. ICCV MTL Workshop, 2021. arXiv

- Kuniaki Saito, Donghyun Kim, Stan Sclaroff, Kate Saenko. Universal Domain Adaptation through Self Supervision. NeurIPS, 2020. arXiv

- Andrea Burns, Donghyun Kim, Derry Wijaya, Kate Saenko, Bryan A Plummer. Learning to Scale Multilingual Representations for Vision-Language Tasks. ECCV, 2020 (Spotlight). arXiv

- Donghyun Kim, Sarah Adel Bargal, Jianming Zhang, Stan Sclaroff. Multi-way Encoding for Robustness. WACV, 2020. arXiv

- Donghyun Kim, Kuniaki Saito, Kate Saenko, Stan Sclaroff, Bryan A. Plummer. MULE: Multimodal Universal Language Embedding. AAAI, 2020 (Oral). arXiv

- Kuniaki Saito, Donghyun Kim, Stan Sclaroff, Trevor Darrell, Kate Saenko. Semi-supervised Domain Adaptation via Minimax Entropy. International Conference on Computer Vision (ICCV), 2019. arXiv

- Donghyun Kim, Kuniaki Saito, Kate Saenko, Stan Sclaroff, Bryan A. Plummer. MULE: Multimodal Universal Language Embedding. ICCV CLVL Workshop, 2019. PDF

- Sarah Adel Bargal^*, Andrea Zunino^*, Donghyun Kim, Jianming Zhang, Vittorio Murino, Stan Sclaroff. Excitation Backprop for RNNs. Computer Vision and Pattern Recognition (CVPR), 2018. arXiv

- Donghyun Kim, Matthias Hernandez, Jongmoo Choi, G ́erard Medioni. Deep 3D Face Identification. International Joint Conference on Biometrics (IJCB) 2017 (Oral). arXiv

- Donghyun Kim, Jongmoo Choi, Jatuporn Toy Leksut, G ́erard Medioni. Expression Invariant 3D Face Modeling from an RGB-D Video. International Conference on Pattern Recognition (ICPR) 2016 (Oral). PDF

- Donghyun Kim, Jongmoo Choi, Jatuporn Toy Leksut, G ́erard Medioni. Accurate 3D face modeling and recognition from RGB-D stream in the presence of large pose changes. IEEE International Conference on Image Processing (ICIP) 2016. PDF