Here is the full list of publications.
Learning Compositional Language-based Object Detection with Diffusion-Based Structured Synthetic Data
Kwanyong Park, Kuniaki Saito, Donghyun Kim
CVPR 2024 Workshop on “Generative Models for Computer Vision”
Visual Delta Generator for Semi-supervised Composed Image Retrieval
Young Kyun Jang*, Donghyun Kim*, Zihang Meng, Dat Huynh, Ser-Nam Lim
CVPR 2024
What, How, and When Should Object Detectors Update in Continually Changing Test Domains?
Jayeon Yoo, Dongkwan Lee, Inseop Chung, Donghyun Kim*, Nojun Kwak*
CVPR 2024
LLM4SGG: Large Language Model for Weakly Supervised Scene Graph Generation
Kibum Kim, Kanghoon Yoon, Jaehyeong Jeon, Yeonjun In, Jinyoung Moon, Donghyun Kim, Chanyoung Park
CVPR 2024
Adaptive Self-training Framework for Fine-grained Scene Graph Generation
Kibum Kim, Kanghoon Yoon, Yeonjun In, Jinyoung Moon, Donghyun Kim, Chanyoung Park
ICLR 2024
Grafting Vision Transformers
Jongwoo Park, Kumara Kahatapitiya, Donghyun Kim, Shivchander Sudalairaj, Quanfu Fan, Michael S. Ryoo
WACV 2024
Learning Human Action Recognition Representations Without Real Humans
Howard Zhong, Samarth Mishra, Donghyun Kim, SouYoung Jin, Rameswar Panda, Hilde Kuehne, Leonid Karlinsky, Venkatesh Saligrama, Aude Oliva, Rogerio Feris
NeurIPS 2023
Dense and Aligned Captions (DAC) Promote Compositional Reasoning in VL Models
Sivan Doveh, Assaf Arbelle, Sivan Harary, Roei Herzig, Donghyun Kim, Paola Cascante-Bonilla, Amit Alfassy, Rameswar Panda, Raja Giryes, Rogerio Feris, Shimon Ullman, Leonid Karlinsky
NeurIPS 2023 (Spotlight)
CDAC: Cross-domain Attention Consistency in Transformer for Domain Adaptive Semantic Segmentation
Kaihong Wang, Donghyun Kim, Rogerio Feris, Margrit Betke
ICCV 2023
Going Beyond Nouns With Vision & Language Models Using Synthetic Data
Cascante-Bonilla P, Shehada K, Smith JS, Doveh S, Kim D, Panda R, Varol G, Oliva A, Ordonez V, Feris R, Karlinsky L
ICCV 2023
Teaching Structured Vision&Language Concepts to Vision&Language Models
Doveh, S., Arbelle, A., Harary, S., Panda, R., Herzig, R., Schwartz, E., Kim, D., Giryes, R., Feris, R., Ullman, S. and Karlinsky, L
CVPR 2023
CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning
Smith, J.S., Karlinsky, L., Gutta, V., Cascante-Bonilla, P., Kim, D., Arbelle, A., Panda, R., Feris, R. and Kira, Z
CVPR 2023
ConStruct-VL: Data-Free Continual Structured VL Concepts Learning
Smith, J.S., Cascante-Bonilla, P., Arbelle, A., Kim, D., Panda, R., Cox, D., Yang, D., Kira, Z., Feris, R. and Karlinsky, L
CVPR 2023
VisDA 2022 Challenge: Sim2Real Domain Adaptation for Industrial Recycling
D. Bashkirova, P. Teterwak, S. Mishra, D. Kim, , R. Lai, F. Alladkani, J. Akl, B. Calli, V. Ablavsky, S. Bargal, K. Saenko
NeurIPS 2022 Competition
A Broad Study of Pre-training for Domain Generalization and Adaptation
Donghyun Kim, Kaihong Wang, Stan Sclaroff, and Kate Saenko
ECCV 2022
A Unified Framework for Domain Adaptive Pose Estimation
Donghyun Kim, Kaihong Wang, Kate Saenko, Margrit Betke, Stan Sclaroff
ECCV 2022
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, P. Teterwak, B. Usman
NeurIPS 2021 Competition
OpenMatch: Open-set Consistency Regularization for Semi-supervised Learning with Outliers
Kuniaki Saito, Donghyun Kim, Kate Saenko
NeurIPS 2021
CDS: Cross-domain Self-supervised Pre-training
Donghyun Kim, Kuniaki Saito, Tae-Hyun Oh, Bryan A. Plummer, Stan Sclaroff, Kate Saenko
ICCV 2021
Learning Cross-Modal Contrastive Features for Video Domain Adaptation
Donghyun Kim, Yi-Hsuan Tsai, Bingbing Zhuang, Xiang Yu, Stan Sclaroff, Kate Saenko, Manmohan Chandraker
ICCV 2021
Tune it the Right Way: Unsupervised Validation of Domain Adaptation via Neighborhood Density
Kuniaki Saito, Donghyun Kim, Piotr Teterwak, Stan Sclaroff, Trevor Darrell, Kate Saenko
ICCV 2021
Self-supervised Visual Attribute Learning for Fashion Compatibility
Donghyun Kim, Kuniaki Saito, Kate Saenko, Stan Sclaroff, Bryan A Plummer
ICCV VIPriors Workshop 2021
Multi-Task Learning from Videos via Efficient Inter-Frame Attention
Donghyun Kim, Tian Lan, Chuhang Zou, Ning Xu, Bryan A Plummer, Stan Sclaroff, Jayan Eledath, Gerard Medioni
ICCV MTL Workshop 2021
Universal Domain Adaptation through Self Supervision
Kuniaki Saito, Donghyun Kim, Stan Sclaroff, Kate Saenko
NeurIPS 2020
Learning to Scale Multilingual Representations for Vision-Language Tasks
Andrea Burns, Donghyun Kim, Derry Wijaya, Kate Saenko, Bryan A Plummer
ECCV 2020 (spotlight)
Multi-way Encoding for Robustness
Donghyun Kim, Sarah Adel Bargal, Jianming Zhang, Stan Sclaroff
WACV 2020
MULE: Multimodal Universal Language Embedding
Donghyun Kim, Kuniaki Saito, Kate Saenko, Stan Sclaroff, Bryan A. Plummer
AAAI 2020
Semi-supervised Domain Adaptation via Minimax Entropy
Kuniaki Saito, Donghyun Kim, Stan Sclaroff, Trevor Darrell, Kate Saenko
ICCV 2019
Excitation Backprop for RNNs
Sarah Adel Bargal, Andrea Zunino, Donghyun Kim, Jianming Zhang, Vittorio Murino, Stan Sclaroff
CVPR 2018
Deep 3D Face Identification
Donghyun Kim, Matthias Hernandez, Jongmoo Choi, G ́erard Medioni
International Joint Conference on Biometrics (IJCB) 2017
Expression Invariant 3D Face Modeling from an RGB-D Video
Donghyun Kim, Jongmoo Choi, Jatuporn Toy Leksut, G ́erard Medioni
International Conference on Pattern Recognition (ICPR) 2016 (Oral)
Accurate 3D face modeling and recognition from RGB-D stream in the presence of large pose changes
Donghyun Kim, Jongmoo Choi, Jatuporn Toy Leksut, G ́erard Medioni
IEEE International Conference on Image Processing (ICIP) 2016
