Donghyun Kim - RankMe

86 papers A* 17A 3B 3Journal 50Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Are we truly forgetting? A critical re-examination of machine unlearning evaluation protocols. Eng. Appl. Artif. Intell. Yongwoo Kim, Sungmin Cha, Donghyun Kim
2026	J	`jnl`	Delving into Pre-training for Domain Transfer: A Broad Study of Pre-training for Domain Generalization and Domain Adaptation. Int. J. Comput. Vis. Jungmyung Wi, Young Kyun Jang, Dujin Lee, Myeongseok Nam, Donghyun Kim
2026	J	`jnl`	Generalized prompt-driven zero-shot domain adaptive segmentation with feature rectification and semantic modulation. Comput. Vis. Image Underst. Jinyi Li, Longyu Yang, Donghyun Kim, Kuniaki Saito, Kate Saenko, Stan Sclaroff, Xiaofeng Zhu, Ping Hu
2026	J	`jnl`	Spatially Grounded Long-Horizon Task Planning in the Wild. CoRR Sehun Jung, Hyunjee Song, Dong-Hee Kim, Reuben Tan, Jianfeng Gao, Yong Jae Lee, Donghyun Kim
2026	—	`conf`	Too Many Frames, Not All Useful: Efficient Strategies for Long-Form Video QA. EACL (Volume 1: Long Papers) Jongwoo Park, Kanchana Ranasinghe, Kumara Kahatapitiya, Wonjeong Ryu, Donghyun Kim, Michael S. Ryoo
2025	J	`jnl`	CaptionSmiths: Flexibly Controlling Language Pattern in Image Captioning. CoRR Kuniaki Saito, Donghyun Kim, Kwanyong Park, Atsushi Hashimoto, Yoshitaka Ushiku
2025	J	`jnl`	Deep learning for precipitation nowcasting: A survey from the perspective of time series forecasting. Expert Syst. Appl. Sojung An, Tae-Jin Oh, Eunha Sohn, Donghyun Kim
2025	J	`jnl`	High-quality three-dimensional cartoon avatar reconstruction with Gaussian splatting. Eng. Appl. Artif. Intell. MinHyuk Jang, Jong Wook Kim, Youngdong Jang, Donghyun Kim, Wonseok Roh, Inyong Hwang, Guang Lin, Sangpil Kim
2025	J	`jnl`	Learning Compositionality from Multifaceted Synthetic Data for Language-based Object Detection. Int. J. Comput. Vis. Kwanyong Park, Sojung An, Yong Jae Lee, Donghyun Kim
2025	A	`conf`	Learning Unified Distance Metric Across Diverse Data Distributions with Parameter-Efficient Transfer Learning. WACV SungYeon Kim, Donghyun Kim, Suha Kwak
2025	—	`conf`	LoRA-Loop: Closing the Synthetic Replay Cycle for Continual VLM Learning. ICCVW Kaihong Wang, Donghyun Kim, Margrit Betke
2025	J	`jnl`	LoRA-Loop: Closing the Synthetic Replay Cycle for Continual VLM Learning. CoRR Kaihong Wang, Donghyun Kim, Margrit Betke
2025	J	`jnl`	Lost in Sequence: Do Large Language Models Understand Sequential Recommendation? CoRR Sein Kim, Hongseok Kang, Kibum Kim, Jiwan Kim, Donghyun Kim, Minchul Yang, Kwangjin Oh, Julian J. McAuley, Chanyoung Park
2025	J	`jnl`	Talk in Pieces, See in Whole: Disentangling and Hierarchical Aggregating Representations for Language-based Object Detection. CoRR Sojung An, Kwanyong Park, Yong Jae Lee, Donghyun Kim
2025	J	`jnl`	Weakly Supervised Video Scene Graph Generation via Natural Language Supervision. CoRR Kibum Kim, Kanghoon Yoon, Yeonjun In, Jaehyeong Jeon, Jinyoung Moon, Donghyun Kim, Chanyoung Park
2024	A*	`conf`	Adaptive Self-training Framework for Fine-grained Scene Graph Generation. ICLR Kibum Kim, Kanghoon Yoon, Yeonjun In, Jinyoung Moon, Donghyun Kim, Chanyoung Park
2024	J	`jnl`	Adaptive Self-training Framework for Fine-grained Scene Graph Generation. CoRR Kibum Kim, Kanghoon Yoon, Yeonjun In, Jinyoung Moon, Donghyun Kim, Chanyoung Park
2024	J	`jnl`	CAMELoT: Towards Large Language Models with Training-Free Consolidated Associative Memory. CoRR Zexue He, Leonid Karlinsky, Donghyun Kim, Julian J. McAuley, Dmitry Krotov, Rogério Feris
2024	J	`jnl`	Deep learning for precipitation nowcasting: A survey from the perspective of time series forecasting. CoRR Sojung An, Tae-Jin Oh, Eunha Sohn, Donghyun Kim
2024	—	`conf`	Efficient and Versatile Robust Fine-Tuning of Zero-Shot Models. ECCV (17) SungYeon Kim, Boseung Jeong, Donghyun Kim, Suha Kwak
2024	J	`jnl`	Efficient and Versatile Robust Fine-Tuning of Zero-shot Models. CoRR SungYeon Kim, Boseung Jeong, Donghyun Kim, Suha Kwak
2024	A	`conf`	Grafting Vision Transformers. WACV Jongwoo Park, Kumara Kahatapitiya, Donghyun Kim, Shivchander Sudalairaj, Quanfu Fan, Michael S. Ryoo
2024	A*	`conf`	LLM4SGG: Large Language Models for Weakly Supervised Scene Graph Generation. CVPR Kibum Kim, Kanghoon Yoon, Jaehyeong Jeon, Yeonjun In, Jinyoung Moon, Donghyun Kim, Chanyoung Park
2024	—	`conf`	MATE: Meet At The Embedding - Connecting Images with Long Texts. EMNLP (Findings) Young Kyun Jang, Junmo Kang, Yong Jae Lee, Donghyun Kim
2024	J	`jnl`	MATE: Meet At The Embedding - Connecting Images with Long Texts. CoRR Young Kyun Jang, Junmo Kang, Yong Jae Lee, Donghyun Kim
2024	J	`jnl`	RA-SGG: Retrieval-Augmented Scene Graph Generation Framework via Multi-Prototype Learning. CoRR Kanghoon Yoon, Kibum Kim, Jaehyung Jeon, Yeonjun In, Donghyun Kim, Chanyoung Park
2024	J	`jnl`	Too Many Frames, not all Useful: Efficient Strategies for Long-Form Video QA. CoRR Jongwoo Park, Kanchana Ranasinghe, Kumara Kahatapitiya, Wonjeong Ryoo, Donghyun Kim, Michael S. Ryoo
2024	A*	`conf`	Unified Domain Generalization and Adaptation for Multi-View 3D Object Detection. NeurIPS Gyusam Chang, Jiwon Lee, Donghyun Kim, Jinkyu Kim, Dongwook Lee, Daehyun Ji, Sujin Jang, Sangpil Kim
2024	J	`jnl`	Unified Domain Generalization and Adaptation for Multi-View 3D Object Detection. CoRR Gyusam Chang, Jiwon Lee, Donghyun Kim, Jinkyu Kim, Dongwook Lee, Daehyun Ji, Sujin Jang, Sangpil Kim
2024	—	`conf`	Weak-to-Strong Compositional Learning from Generative Models for Language-Based Object Detection. ECCV (23) Kwanyong Park, Kuniaki Saito, Donghyun Kim
2024	J	`jnl`	Weak-to-Strong Compositional Learning from Generative Models for Language-based Object Detection. CoRR Kwanyong Park, Kuniaki Saito, Donghyun Kim
2023	A*	`conf`	CDAC: Cross-domain Attention Consistency in Transformer for Domain Adaptive Semantic Segmentation. ICCV Kaihong Wang, Donghyun Kim, Rogério Feris, Margrit Betke
2023	A*	`conf`	CODA-Prompt: COntinual Decomposed Attention-Based Prompting for Rehearsal-Free Continual Learning. CVPR James Seale Smith, Leonid Karlinsky, Vyshnavi Gutta, Paola Cascante-Bonilla, Donghyun Kim, Assaf Arbelle, Rameswar Panda, Rogério Feris, Zsolt Kira
2023	A*	`conf`	ConStruct-VL: Data-Free Continual Structured VL Concepts Learning. CVPR James Seale Smith, Paola Cascante-Bonilla, Assaf Arbelle, Donghyun Kim, Rameswar Panda, David D. Cox, Diyi Yang, Zsolt Kira, Rogério Feris, Leonid Karlinsky
2023	A*	`conf`	Dense and Aligned Captions (DAC) Promote Compositional Reasoning in VL Models. NeurIPS Sivan Doveh, Assaf Arbelle, Sivan Harary, Roei Herzig, Donghyun Kim, Paola Cascante-Bonilla, Amit Alfassy, Rameswar Panda, Raja Giryes, Rogério Feris, Shimon Ullman, Leonid Karlinsky
2023	J	`jnl`	Dense and Aligned Captions (DAC) Promote Compositional Reasoning in VL Models. CoRR Sivan Doveh, Assaf Arbelle, Sivan Harary, Roei Herzig, Donghyun Kim, Paola Cascante-Bonilla, Amit Alfassy, Rameswar Panda, Raja Giryes, Rogério Feris, Shimon Ullman, Leonid Karlinsky
2023	A*	`conf`	Going Beyond Nouns With Vision & Language Models Using Synthetic Data. ICCV Paola Cascante-Bonilla, Khaled Shehada, James Seale Smith, Sivan Doveh, Donghyun Kim, Rameswar Panda, Gül Varol, Aude Oliva, Vicente Ordonez, Rogério Feris, Leonid Karlinsky
2023	J	`jnl`	Going Beyond Nouns With Vision & Language Models Using Synthetic Data. CoRR Paola Cascante-Bonilla, Khaled Shehada, James Seale Smith, Sivan Doveh, Donghyun Kim, Rameswar Panda, Gül Varol, Aude Oliva, Vicente Ordonez, Rogério Feris, Leonid Karlinsky
2023	J	`jnl`	LLM4SGG: Large Language Model for Weakly Supervised Scene Graph Generation. CoRR Kibum Kim, Kanghoon Yoon, Jaehyeong Jeon, Yeonjun In, Jinyoung Moon, Donghyun Kim, Chanyoung Park
2023	A*	`conf`	Learning Human Action Recognition Representations Without Real Humans. NeurIPS Howard Zhong, Samarth Mishra, Donghyun Kim, SouYoung Jin, Rameswar Panda, Hilde Kuehne, Leonid Karlinsky, Venkatesh Saligrama, Aude Oliva, Rogério Feris
2023	J	`jnl`	Learning Human Action Recognition Representations Without Real Humans. CoRR Howard Zhong, Samarth Mishra, Donghyun Kim, SouYoung Jin, Rameswar Panda, Hilde Kuehne, Leonid Karlinsky, Venkatesh Saligrama, Aude Oliva, Rogério Feris
2023	J	`jnl`	Mind the Backbone: Minimizing Backbone Distortion for Robust Object Detection. CoRR Kuniaki Saito, Donghyun Kim, Piotr Teterwak, Rogério Feris, Kate Saenko
2023	J	`jnl`	Universal Metric Learning with Parameter-Efficient Transfer Learning. CoRR SungYeon Kim, Donghyun Kim, Suha Kwak
2023	J	`jnl`	VisDA 2022 Challenge: Domain Adaptation for Industrial Waste Sorting. CoRR Dina Bashkirova, Samarth Mishra, Diala Lteif, Piotr Teterwak, Donghyun Kim, Fadi M. Alladkani, James Akl, Berk Çalli, Sarah Adel Bargal, Kate Saenko, Daehan Kim, Minseok Seo, Youngjin Jeon, Dong-Geol Choi, Shahaf Ettedgui, Raja Giryes, Shady Abu-Hussein, Binhui Xie, Shuang Li
2022	—	`conf`	A Broad Study of Pre-training for Domain Generalization and Adaptation. ECCV (33) Donghyun Kim, Kaihong Wang, Stan Sclaroff, Kate Saenko
2022	J	`jnl`	A Broad Study of Pre-training for Domain Generalization and Adaptation. CoRR Donghyun Kim, Kaihong Wang, Stan Sclaroff, Kate Saenko
2022	—	`conf`	A Unified Framework for Domain Adaptive Pose Estimation. ECCV (33) Donghyun Kim, Kaihong Wang, Kate Saenko, Margrit Betke, Stan Sclaroff
2022	J	`jnl`	A Unified Framework for Domain Adaptive Pose Estimation. CoRR Donghyun Kim, Kaihong Wang, Kate Saenko, Margrit Betke, Stan Sclaroff
2022	J	`jnl`	CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning. CoRR James Seale Smith, Leonid Karlinsky, Vyshnavi Gutta, Paola Cascante-Bonilla, Donghyun Kim, Assaf Arbelle, Rameswar Panda, Rogério Feris, Zsolt Kira
2022	J	`jnl`	ConStruct-VL: Data-Free Continual Structured VL Concepts Learning. CoRR James Seale Smith, Paola Cascante-Bonilla, Assaf Arbelle, Donghyun Kim, Rameswar Panda, David D. Cox, Diyi Yang, Zsolt Kira, Rogério Feris, Leonid Karlinsky
2022	J	`jnl`	Exploring Consistency in Cross-Domain Transformer for Domain Adaptive Semantic Segmentation. CoRR Kaihong Wang, Donghyun Kim, Rogério Feris, Kate Saenko, Margrit Betke
2022	J	`jnl`	Grafting Vision Transformers. CoRR Jongwoo Park, Kumara Kahatapitiya, Donghyun Kim, Shivchander Sudalairaj, Quanfu Fan, Michael S. Ryoo
2022	—	`—`	Learning generalizable and transferable representations across domains and modalities Donghyun Kim
2022	J	`jnl`	Teaching Structured Vision&Language Concepts to Vision&Language Models. CoRR Sivan Doveh, Assaf Arbelle, Sivan Harary, Rameswar Panda, Roei Herzig, Eli Schwartz, Donghyun Kim, Raja Giryes, Rogério Feris, Shimon Ullman, Leonid Karlinsky
2022	J	`jnl`	Temporal Relevance Analysis for Video Action Models. CoRR Quanfu Fan, Donghyun Kim, Chun-Fu Chen, Stan Sclaroff, Kate Saenko, Sarah Adel Bargal
2021	A*	`conf`	CDS: Cross-Domain Self-supervised Pre-training. ICCV Donghyun Kim, Kuniaki Saito, Tae-Hyun Oh, Bryan A. Plummer, Stan Sclaroff, Kate Saenko
2021	A*	`conf`	Learning Cross-Modal Contrastive Features for Video Domain Adaptation. ICCV Donghyun Kim, Yi-Hsuan Tsai, Bingbing Zhuang, Xiang Yu, Stan Sclaroff, Kate Saenko, Manmohan Chandraker
2021	J	`jnl`	Learning Cross-modal Contrastive Features for Video Domain Adaptation. CoRR Donghyun Kim, Yi-Hsuan Tsai, Bingbing Zhuang, Xiang Yu, Stan Sclaroff, Kate Saenko, Manmohan Chandraker
2021	—	`conf`	MILA: Multi-Task Learning from Videos via Efficient Inter-Frame Attention. ICCVW Donghyun Kim, Tian Lan, Chuhang Zou, Ning Xu, Bryan A. Plummer, Stan Sclaroff, Jayan Eledath, Gérard G. Medioni
2021	A*	`conf`	OpenMatch: Open-Set Semi-supervised Learning with Open-set Consistency Regularization. NeurIPS Kuniaki Saito, Donghyun Kim, Kate Saenko
2021	J	`jnl`	OpenMatch: Open-set Consistency Regularization for Semi-supervised Learning with Outliers. CoRR Kuniaki Saito, Donghyun Kim, Kate Saenko
2021	—	`conf`	Self-supervised Visual Attribute Learning for Fashion Compatibility. ICCVW Donghyun Kim, Kuniaki Saito, Samarth Mishra, Stan Sclaroff, Kate Saenko, Bryan A. Plummer
2021	A*	`conf`	Tune it the Right Way: Unsupervised Validation of Domain Adaptation via Soft Neighborhood Density. ICCV Kuniaki Saito, Donghyun Kim, Piotr Teterwak, Stan Sclaroff, Trevor Darrell, Kate Saenko
2021	J	`jnl`	Tune it the Right Way: Unsupervised Validation of Domain Adaptation via Soft Neighborhood Density. CoRR Kuniaki Saito, Donghyun Kim, Piotr Teterwak, Stan Sclaroff, Trevor Darrell, Kate Saenko
2021	—	`conf`	VisDA 2022 Challenge: Domain Adaptation for Industrial Waste Sorting. NeurIPS (Competition and Demos) Dina Bashkirova, Samarth Mishra, Diala Lteif, Piotr Teterwak, Donghyun Kim, Fadi M. Alladkani, James Akl, Berk Çalli, Sarah Adel Bargal, Kate Saenko, Daehan Kim, Minseok Seo, Youngjin Jeon, Dong-Geol Choi, Shahaf Ettedgui, Raja Giryes, Shady Abu-Hussein, Binhui Xie, Shuang Li
2021	J	`jnl`	VisDA-2021 Competition Universal Domain Adaptation to Improve Performance on Out-of-Distribution Data. CoRR Dina Bashkirova, Dan Hendrycks, Donghyun Kim, Samarth Mishra, Kate Saenko, Kuniaki Saito, Piotr Teterwak, Ben Usman
2021	—	`conf`	VisDA-2021 Competition: Universal Domain Adaptation to Improve Performance on Out-of-Distribution Data. NeurIPS (Competition and Demos) Dina Bashkirova, Dan Hendrycks, Donghyun Kim, Haojin Liao, Samarth Mishra, Chandramouli Rajagopalan, Kate Saenko, Kuniaki Saito, Burhan Ul Tayyab, Piotr Teterwak, Ben Usman
2020	J	`jnl`	Cross-domain Self-supervised Learning for Domain Adaptation with Few Source Labels. CoRR Donghyun Kim, Kuniaki Saito, Tae-Hyun Oh, Bryan A. Plummer, Stan Sclaroff, Kate Saenko
2020	—	`conf`	Learning to Scale Multilingual Representations for Vision-Language Tasks. ECCV (4) Andrea Burns, Donghyun Kim, Derry Wijaya, Kate Saenko, Bryan A. Plummer
2020	J	`jnl`	Learning to Scale Multilingual Representations for Vision-Language Tasks. CoRR Andrea Burns, Donghyun Kim, Derry Wijaya, Kate Saenko, Bryan A. Plummer
2020	A*	`conf`	MULE: Multimodal Universal Language Embedding. AAAI Donghyun Kim, Kuniaki Saito, Kate Saenko, Stan Sclaroff, Bryan A. Plummer
2020	J	`jnl`	Multi-Task Learning from Videos via Efficient Inter-Frame Attention. CoRR Donghyun Kim, Tian Lan, Chuhang Zou, Ning Xu, Bryan A. Plummer, Stan Sclaroff, Jayan Eledath, Gérard G. Medioni
2020	A	`conf`	Multi-way Encoding for Robustness. WACV Donghyun Kim, Sarah Adel Bargal, Jianming Zhang, Stan Sclaroff
2020	J	`jnl`	Self-supervised Visual Attribute Learning for Fashion Compatibility. CoRR Donghyun Kim, Kuniaki Saito, Kate Saenko, Stan Sclaroff, Bryan A. Plummer
2020	A*	`conf`	Universal Domain Adaptation through Self Supervision. NeurIPS Kuniaki Saito, Donghyun Kim, Stan Sclaroff, Kate Saenko
2020	J	`jnl`	Universal Domain Adaptation through Self Supervision. CoRR Kuniaki Saito, Donghyun Kim, Stan Sclaroff, Kate Saenko
2019	J	`jnl`	MULE: Multimodal Universal Language Embedding. CoRR Donghyun Kim, Kuniaki Saito, Kate Saenko, Stan Sclaroff, Bryan A. Plummer
2019	J	`jnl`	Multi-way Encoding for Robustness. CoRR Donghyun Kim, Sarah Adel Bargal, Jianming Zhang, Stan Sclaroff
2019	A*	`conf`	Semi-Supervised Domain Adaptation via Minimax Entropy. ICCV Kuniaki Saito, Donghyun Kim, Stan Sclaroff, Trevor Darrell, Kate Saenko
2019	J	`jnl`	Semi-supervised Domain Adaptation via Minimax Entropy. CoRR Kuniaki Saito, Donghyun Kim, Stan Sclaroff, Trevor Darrell, Kate Saenko
2018	A*	`conf`	Excitation Backprop for RNNs. CVPR Sarah Adel Bargal, Andrea Zunino, Donghyun Kim, Jianming Zhang, Vittorio Murino, Stan Sclaroff
2017	J	`jnl`	Deep 3D Face Identification. CoRR Donghyun Kim, Matthias Hernandez, Jongmoo Choi, Gérard G. Medioni
2017	B	`conf`	Deep 3D face identification. IJCB Donghyun Kim, Matthias Hernandez, Jongmoo Choi, Gérard G. Medioni
2017	J	`jnl`	Excitation Backprop for RNNs. CoRR Sarah Adel Bargal, Andrea Zunino, Donghyun Kim, Jianming Zhang, Vittorio Murino, Stan Sclaroff
2016	B	`conf`	Accurate 3D face modeling and recognition from RGB-D stream in the presence of large pose changes. ICIP Donghyun Kim, Jongmoo Choi, Jatuporn Toy Leksut, Gérard G. Medioni
2016	B	`conf`	Expression invariant 3D face modeling from an RGB-D video. ICPR Donghyun Kim, Jongmoo Choi, Jatuporn Toy Leksut, Gérard G. Medioni