Accurate 3D face modeling and recognition from RGB-D stream in the presence of large pose changes. - Donghyun Kim 006; Jongmoo Choi; Jatuporn Toy Leksut; Gérard G. Medioni (ICIP, 2016)

Expression invariant 3D face modeling from an RGB-D video. - Donghyun Kim 006; Jongmoo Choi; Jatuporn Toy Leksut; Gérard G. Medioni (ICPR, 2016)

Deep 3D face identification. - Donghyun Kim 006; Matthias Hernandez; Jongmoo Choi; Gérard G. Medioni (IJCB, 2017)

Excitation Backprop for RNNs. - Sarah Adel Bargal; Andrea Zunino; Donghyun Kim 006; Jianming Zhang 001; Vittorio Murino; Stan Sclaroff (CVPR, 2018)

Semi-Supervised Domain Adaptation via Minimax Entropy. - Kuniaki Saito; Donghyun Kim 006; Stan Sclaroff; Trevor Darrell; Kate Saenko (ICCV, 2019)

MULE: Multimodal Universal Language Embedding. - Donghyun Kim 006; Kuniaki Saito; Kate Saenko; Stan Sclaroff; Bryan A. Plummer (AAAI, 2020)

Learning to Scale Multilingual Representations for Vision-Language Tasks. - Andrea Burns; Donghyun Kim 006; Derry Wijaya; Kate Saenko; Bryan A. Plummer (ECCV (4), 2020)

Universal Domain Adaptation through Self Supervision. - Kuniaki Saito; Donghyun Kim 006; Stan Sclaroff; Kate Saenko (NeurIPS, 2020)

Multi-way Encoding for Robustness. - Donghyun Kim 006; Sarah Adel Bargal; Jianming Zhang 001; Stan Sclaroff (WACV, 2020)

Multi-Task Learning from Videos via Efficient Inter-Frame Attention. - Donghyun Kim 006; Tian Lan; Chuhang Zou; Ning Xu; Bryan A. Plummer; Stan Sclaroff; Jayan Eledath; Gérard G. Medioni (CoRR, 2020)

Cross-domain Self-supervised Learning for Domain Adaptation with Few Source Labels. - Donghyun Kim 006; Kuniaki Saito; Tae-Hyun Oh; Bryan A. Plummer; Stan Sclaroff; Kate Saenko (CoRR, 2020)

Self-supervised Visual Attribute Learning for Fashion Compatibility. - Donghyun Kim 006; Kuniaki Saito; Kate Saenko; Stan Sclaroff; Bryan A. Plummer (CoRR, 2020)

CDS: Cross-Domain Self-supervised Pre-training. - Donghyun Kim 006; 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 006; Yi-Hsuan Tsai; Bingbing Zhuang; Xiang Yu 002; Stan Sclaroff; Kate Saenko; Manmohan Chandraker (ICCV, 2021)

Tune it the Right Way: Unsupervised Validation of Domain Adaptation via Soft Neighborhood Density. - Kuniaki Saito; Donghyun Kim 006; Piotr Teterwak; Stan Sclaroff; Trevor Darrell; Kate Saenko (ICCV, 2021)

MILA: Multi-Task Learning from Videos via Efficient Inter-Frame Attention. - Donghyun Kim 006; Tian Lan; Chuhang Zou; Ning Xu; Bryan A. Plummer; Stan Sclaroff; Jayan Eledath; Gérard G. Medioni (ICCVW, 2021)

Self-supervised Visual Attribute Learning for Fashion Compatibility. - Donghyun Kim 006; Kuniaki Saito; Samarth Mishra; Stan Sclaroff; Kate Saenko; Bryan A. Plummer (ICCVW, 2021)

VisDA-2021 Competition: Universal Domain Adaptation to Improve Performance on Out-of-Distribution Data. - Dina Bashkirova; Dan Hendrycks; Donghyun Kim 006; Haojin Liao; Samarth Mishra; Chandramouli Rajagopalan; Kate Saenko; Kuniaki Saito; Burhan Ul Tayyab; Piotr Teterwak; Ben Usman (NeurIPS (Competition and Demos), 2021)

VisDA 2022 Challenge: Domain Adaptation for Industrial Waste Sorting. - Dina Bashkirova; Samarth Mishra; Diala Lteif; Piotr Teterwak; Donghyun Kim 006; Fadi M. Alladkani; James Akl; Berk Çalli; Sarah Adel Bargal; Kate Saenko; Daehan Kim; Minseok Seo; et al. (NeurIPS (Competition and Demos), 2021)

OpenMatch: Open-Set Semi-supervised Learning with Open-set Consistency Regularization. - Kuniaki Saito; Donghyun Kim 006; Kate Saenko (NeurIPS, 2021)

OpenMatch: Open-set Consistency Regularization for Semi-supervised Learning with Outliers. - Kuniaki Saito; Donghyun Kim 006; Kate Saenko (CoRR, 2021)

VisDA-2021 Competition Universal Domain Adaptation to Improve Performance on Out-of-Distribution Data. - Dina Bashkirova; Dan Hendrycks; Donghyun Kim 006; Samarth Mishra; Kate Saenko; Kuniaki Saito; Piotr Teterwak; Ben Usman (CoRR, 2021)

A Unified Framework for Domain Adaptive Pose Estimation. - Donghyun Kim 006; Kaihong Wang; Kate Saenko; Margrit Betke; Stan Sclaroff (ECCV (33), 2022)

A Broad Study of Pre-training for Domain Generalization and Adaptation. - Donghyun Kim 006; Kaihong Wang; Stan Sclaroff; Kate Saenko (ECCV (33), 2022)

Temporal Relevance Analysis for Video Action Models. - Quanfu Fan; Donghyun Kim 006; Chun-Fu Chen 001; Stan Sclaroff; Kate Saenko; Sarah Adel Bargal (CoRR, 2022)

Teaching Structured Vision&Language Concepts to Vision&Language Models. - Sivan Doveh; Assaf Arbelle; Sivan Harary; Rameswar Panda; Roei Herzig; Eli Schwartz; Donghyun Kim 006; Raja Giryes; Rogério Feris; Shimon Ullman; Leonid Karlinsky (CoRR, 2022)

Exploring Consistency in Cross-Domain Transformer for Domain Adaptive Semantic Segmentation. - Kaihong Wang; Donghyun Kim 006; Rogério Feris; Kate Saenko; Margrit Betke (CoRR, 2022)

Learning generalizable and transferable representations across domains and modalities - Donghyun Kim 006 (2022)

ConStruct-VL: Data-Free Continual Structured VL Concepts Learning. - James Seale Smith; Paola Cascante-Bonilla; Assaf Arbelle; Donghyun Kim 006; Rameswar Panda; David D. Cox; Diyi Yang; Zsolt Kira; Rogério Feris; Leonid Karlinsky (CVPR, 2023)

CODA-Prompt: COntinual Decomposed Attention-Based Prompting for Rehearsal-Free Continual Learning. - James Seale Smith; Leonid Karlinsky; Vyshnavi Gutta; Paola Cascante-Bonilla; Donghyun Kim 006; Assaf Arbelle; Rameswar Panda; Rogério Feris; Zsolt Kira (CVPR, 2023)

Going Beyond Nouns With Vision & Language Models Using Synthetic Data. - Paola Cascante-Bonilla; Khaled Shehada; James Seale Smith; Sivan Doveh; Donghyun Kim 006; Rameswar Panda; Gül Varol; Aude Oliva; Vicente Ordonez; Rogério Feris; Leonid Karlinsky (ICCV, 2023)

CDAC: Cross-domain Attention Consistency in Transformer for Domain Adaptive Semantic Segmentation. - Kaihong Wang; Donghyun Kim 006; Rogério Feris; Margrit Betke (ICCV, 2023)

Dense and Aligned Captions (DAC) Promote Compositional Reasoning in VL Models. - Sivan Doveh; Assaf Arbelle; Sivan Harary; Roei Herzig; Donghyun Kim 006; Paola Cascante-Bonilla; Amit Alfassy; Rameswar Panda; Raja Giryes; Rogério Feris; Shimon Ullman; Leonid Karlinsky (NeurIPS, 2023)

Learning Human Action Recognition Representations Without Real Humans. - Howard Zhong; Samarth Mishra; Donghyun Kim 006; SouYoung Jin; Rameswar Panda; Hilde Kuehne; Leonid Karlinsky; Venkatesh Saligrama; Aude Oliva; Rogério Feris (NeurIPS, 2023)

Mind the Backbone: Minimizing Backbone Distortion for Robust Object Detection. - Kuniaki Saito; Donghyun Kim 006; Piotr Teterwak; Rogério Feris; Kate Saenko (CoRR, 2023)

Universal Metric Learning with Parameter-Efficient Transfer Learning. - Sungyeon Kim; Donghyun Kim 006; Suha Kwak (CoRR, 2023)

LLM4SGG: Large Language Model for Weakly Supervised Scene Graph Generation. - Kibum Kim; Kanghoon Yoon; Jaehyeong Jeon; Yeonjun In; Jinyoung Moon; Donghyun Kim 006; Chanyoung Park 001 (CoRR, 2023)

LLM4SGG: Large Language Models for Weakly Supervised Scene Graph Generation. - Kibum Kim; Kanghoon Yoon; Jaehyeong Jeon; Yeonjun In; Jinyoung Moon; Donghyun Kim 006; Chanyoung Park 001 (CVPR, 2024)

Efficient and Versatile Robust Fine-Tuning of Zero-Shot Models. - Sungyeon Kim; Boseung Jeong; Donghyun Kim 006; Suha Kwak (ECCV (17), 2024)

Adaptive Self-training Framework for Fine-grained Scene Graph Generation. - Kibum Kim; Kanghoon Yoon; Yeonjun In; Jinyoung Moon; Donghyun Kim 006; Chanyoung Park 001 (ICLR, 2024)

Grafting Vision Transformers. - Jongwoo Park 003; Kumara Kahatapitiya; Donghyun Kim 006; Shivchander Sudalairaj; Quanfu Fan; Michael S. Ryoo (WACV, 2024)

CAMELoT: Towards Large Language Models with Training-Free Consolidated Associative Memory. - Zexue He; Leonid Karlinsky; Donghyun Kim 006; Julian J. McAuley; Dmitry Krotov; Rogério Feris (CoRR, 2024)

Too Many Frames, not all Useful: Efficient Strategies for Long-Form Video QA. - Jongwoo Park 003; Kanchana Ranasinghe; Kumara Kahatapitiya; Wonjeong Ryoo; Donghyun Kim 006; Michael S. Ryoo (CoRR, 2024)

RA-SGG: Retrieval-Augmented Scene Graph Generation Framework via Multi-Prototype Learning. - Kanghoon Yoon; Kibum Kim; Jaehyung Jeon; Yeonjun In; Donghyun Kim 006; Chanyoung Park 001 (CoRR, 2024)

Learning Unified Distance Metric Across Diverse Data Distributions with Parameter-Efficient Transfer Learning. - Sungyeon Kim; Donghyun Kim 006; Suha Kwak (WACV, 2025)

High-quality three-dimensional cartoon avatar reconstruction with Gaussian splatting. - MinHyuk Jang; Jong Wook Kim; Youngdong Jang; Donghyun Kim 006; Wonseok Roh; Inyong Hwang; Guang Lin; Sangpil Kim (Eng. Appl. Artif. Intell., 2025)

Deep learning for precipitation nowcasting: A survey from the perspective of time series forecasting. - Sojung An; Tae-Jin Oh; Eunha Sohn; Donghyun Kim 006 (Expert Syst. Appl., 2025)

Lost in Sequence: Do Large Language Models Understand Sequential Recommendation? - Sein Kim; Hongseok Kang; Kibum Kim; Jiwan Kim; Donghyun Kim 006; Minchul Yang; Kwangjin Oh; Julian J. McAuley; Chanyoung Park 001 (CoRR, 2025)

Weakly Supervised Video Scene Graph Generation via Natural Language Supervision. - Kibum Kim; Kanghoon Yoon; Yeonjun In; Jaehyeong Jeon; Jinyoung Moon; Donghyun Kim 006; Chanyoung Park 001 (CoRR, 2025)

LoRA-Loop: Closing the Synthetic Replay Cycle for Continual VLM Learning. - Kaihong Wang; Donghyun Kim 006; Margrit Betke (CoRR, 2025)