Jaehong Yoon

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 50

Top Topics

Video Representation

Image Generation

Top Venues

ECCV Workshops (7)

Publications

Haeyong Kang, Jaehong Yoon, Dahyun Kim, Sung Ju Hwang, Chang D. Yoo
Progressive Fourier Neural Representation for Sequential Video Compilation. ICLR (2024)
Shoubin Yu, Jaehong Yoon, Mohit Bansal
CREMA: Multimodal Compositional Video Reasoning via Efficient Modular Adaptation and Fusion. CoRR (2024)
Xiyao Wang, Yuhang Zhou, Xiaoyu Liu, Hongjin Lu, Yuancheng Xu, Feihong He, Jaehong Yoon, Taixi Lu, Fuxiao Liu, Gedas Bertasius, Mohit Bansal, Huaxiu Yao, Furong Huang
Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences. ACL (1) (2024)
Jaehong Yoon, Shoubin Yu, Mohit Bansal
RACCooN: Remove, Add, and Change Video Content with Auto-Generated Narratives. CoRR (2024)
Jialu Li, Jaemin Cho, Yi-Lin Sung, Jaehong Yoon, Mohit Bansal
SELMA: Learning and Merging Skill-Specific Text-to-Image Experts with Auto-Generated Data. CoRR (2024)
Yiyang Zhou, Chenhang Cui, Jaehong Yoon, Linjun Zhang, Zhun Deng, Chelsea Finn, Mohit Bansal, Huaxiu Yao
Analyzing and Mitigating Object Hallucination in Large Vision-Language Models. ICLR (2024)
Abhay Zala, Jaemin Cho, Han Lin, Jaehong Yoon, Mohit Bansal
EnvGen: Generating and Adapting Environments via LLMs for Training Embodied Agents. CoRR (2024)
Yujin Kim, Jaehong Yoon, Seonghyeon Ye, Sangmin Bae, Namgyu Ho, Sung Ju Hwang, Se-Young Yun
Carpe diem: On the Evaluation of World Knowledge in Lifelong Language Models. NAACL-HLT (2024)
Yi-Lin Sung, Jaehong Yoon, Mohit Bansal
ECoFLaP: Efficient Coarse-to-Fine Layer-Wise Pruning for Vision-Language Models. ICLR (2024)
Ziyang Wang, Shoubin Yu, Elias Stengel-Eskin, Jaehong Yoon, Feng Cheng, Gedas Bertasius, Mohit Bansal
VideoTree: Adaptive Tree-based Video Representation for LLM Reasoning on Long Videos. CoRR (2024)
Xiyao Wang, Yuhang Zhou, Xiaoyu Liu, Hongjin Lu, Yuancheng Xu, Feihong He, Jaehong Yoon, Taixi Lu, Gedas Bertasius, Mohit Bansal, Huaxiu Yao, Furong Huang
Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences. CoRR (2024)
Daeun Lee, Jaehong Yoon, Sung Ju Hwang
BECoTTA: Input-dependent Online Blending of Experts for Continual Test-time Adaptation. CoRR (2024)
Jaehong Yoon, Sung Ju Hwang, Yue Cao
Continual Learners are Incremental Model Generalizers. CoRR (2023)
Jinheon Baek, Wonyong Jeong, Jiongdao Jin, Jaehong Yoon, Sung Ju Hwang
Personalized Subgraph Federated Learning. ICML (2023)
Jaewoong Lee, Sangwon Jang, Jaehyeong Jo, Jaehong Yoon, Yunji Kim, Jin-Hwa Kim, Jung-Woo Ha, Sung Ju Hwang
Text-Conditioned Sampling Framework for Text-to-Image Generation with Masked Generative Models. CoRR (2023)
Haeyong Kang, Jaehong Yoon, Sung Ju Hwang, Chang D. Yoo
Continual Learning: Forget-free Winning Subnetworks for Video Representations. CoRR (2023)
Jaewoong Lee, Sangwon Jang, Jaehyeong Jo, Jaehong Yoon, Yunji Kim, Jin-Hwa Kim, Jung-Woo Ha, Sung Ju Hwang
Text-Conditioned Sampling Framework for Text-to-Image Generation with Masked Generative Models. ICCV (2023)
Yi-Lin Sung, Jaehong Yoon, Mohit Bansal
ECoFLaP: Efficient Coarse-to-Fine Layer-Wise Pruning for Vision-Language Models. CoRR (2023)
Haeyong Kang, Jaehong Yoon, Sultan Rizky Hikmawan Madjid, Sung Ju Hwang, Chang D. Yoo
On the Soft-Subnetwork for Few-Shot Class Incremental Learning. ICLR (2023)
Yujin Kim, Jaehong Yoon, Seonghyeon Ye, Sung Ju Hwang, Se-young Yun
Carpe Diem: On the Evaluation of World Knowledge in Lifelong Language Models. CoRR (2023)
Jaewoo Lee, Jaehong Yoon, Wonjae Kim, Yunji Kim, Sung Ju Hwang
Lifelong Audio-video Masked Autoencoder with Forget-robust Localized Alignments. CoRR (2023)
Xiaohui Zhang, Jaehong Yoon, Mohit Bansal, Huaxiu Yao
Multimodal Representation Learning by Alternating Unimodal Adaptation. CoRR (2023)
Jaehong Yoon, Sung Ju Hwang, Yue Cao
Continual Learners are Incremental Model Generalizers. ICML (2023)
Haeyong Kang, Dahyun Kim, Jaehong Yoon, Sung Ju Hwang, Chang D. Yoo
Progressive Neural Representation for Sequential Video Compilation. CoRR (2023)
Yiyang Zhou, Chenhang Cui, Jaehong Yoon, Linjun Zhang, Zhun Deng, Chelsea Finn, Mohit Bansal, Huaxiu Yao
Analyzing and Mitigating Object Hallucination in Large Vision-Language Models. CoRR (2023)
Haeyong Kang, Jaehong Yoon, Sultan Rizky Hikmawan Madjid, Sung Ju Hwang, Chang D. Yoo
Forget-free Continual Learning with Soft-Winning SubNetworks. CoRR (2023)
Jaehong Yoon, Geon Park, Wonyong Jeong, Sung Ju Hwang
Bitwidth Heterogeneous Federated Learning with Progressive Weight Dequantization. ICML (2022)
Divyam Madaan, Jaehong Yoon, Yuanchun Li, Yunxin Liu, Sung Ju Hwang
Representational Continuity for Unsupervised Continual Learning. ICLR (2022)
Haeyong Kang, Rusty John Lloyd Mina, Sultan Rizky Hikmawan Madjid, Jaehong Yoon, Mark Hasegawa-Johnson, Sung Ju Hwang, Chang D. Yoo
Forget-free Continual Learning with Winning Subnetworks. ICML (2022)
Jaehong Yoon, Divyam Madaan, Eunho Yang, Sung Ju Hwang
Online Coreset Selection for Rehearsal-based Continual Learning. ICLR (2022)
Sunil Hwang, Jaehong Yoon, Youngwan Lee, Sung Ju Hwang
Efficient Video Representation Learning via Masked Video Modeling with Motion-centric Token Selection. CoRR (2022)
Jaehong Yoon, Geon Park, Wonyong Jeong, Sung Ju Hwang
Bitwidth Heterogeneous Federated Learning with Progressive Weight Dequantization. CoRR (2022)
Haeyong Kang, Jaehong Yoon, Sultan Rizky Hikmawan Madjid, Sung Ju Hwang, Chang D. Yoo
On the Soft-Subnetwork for Few-shot Class Incremental Learning. CoRR (2022)
Geon Park, Jaehong Yoon, Haiyang Zhang, Xing Zhang, Sung Ju Hwang, Yonina C. Eldar
BiTAT: Neural Network Binarization with Task-Dependent Aggregated Transformation. ECCV Workshops (7) (2022)
Geon Park, Jaehong Yoon, Haiyang Zhang, Xing Zhang, Sung Ju Hwang, Yonina C. Eldar
BiTAT: Neural Network Binarization with Task-dependent Aggregated Transformation. CoRR (2022)
Jinheon Baek, Wonyong Jeong, Jiongdao Jin, Jaehong Yoon, Sung Ju Hwang
Personalized Subgraph Federated Learning. CoRR (2022)
Jaehong Yoon, Wonyong Jeong, Giwoong Lee, Eunho Yang, Sung Ju Hwang
Federated Continual Learning with Weighted Inter-client Transfer. ICML (2021)
Wonyong Jeong, Jaehong Yoon, Eunho Yang, Sung Ju Hwang
Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint Learning. ICLR (2021)
Jaehong Yoon, Divyam Madaan, Eunho Yang, Sung Ju Hwang
Online Coreset Selection for Rehearsal-based Continual Learning. CoRR (2021)
Divyam Madaan, Jaehong Yoon, Yuanchun Li, Yunxin Liu, Sung Ju Hwang
Rethinking the Representational Continuity: Towards Unsupervised Continual Learning. CoRR (2021)
Jaehong Yoon, Saehoon Kim, Eunho Yang, Sung Ju Hwang
Scalable and Order-robust Continual Learning with Additive Parameter Decomposition. ICLR (2020)
Minyoung Song, Jaehong Yoon, Eunho Yang, Sung Ju Hwang
Rapid Structural Pruning of Neural Networks with Set-based Task-Adaptive Meta-Pruning. CoRR (2020)
Wonyong Jeong, Jaehong Yoon, Eunho Yang, Sung Ju Hwang
Federated Semi-Supervised Learning with Inter-Client Consistency. CoRR (2020)
Jaehong Yoon, Wonyong Jeong, Giwoong Lee, Eunho Yang, Sung Ju Hwang
Federated Continual Learning with Adaptive Parameter Communication. CoRR (2020)
Jaehong Yoon, Saehoon Kim, Eunho Yang, Sung Ju Hwang
ORACLE: Order Robust Adaptive Continual LEarning. CoRR (2019)
Juho Lee, Saehoon Kim, Jaehong Yoon, Haebeom Lee, Eunho Yang, Sung Ju Hwang
Adaptive Network Sparsification via Dependent Variational Beta-Bernoulli Dropout. CoRR (2018)
Jaehong Yoon, Jungnyun Lee, Mincheol Whang
Spatial and Time Domain Feature of ERP Speller System Extracted via Convolutional Neural Network. Comput. Intell. Neurosci. 2018 (2018)
Jaehong Yoon, Eunho Yang, Jeongtae Lee, Sung Ju Hwang
Lifelong Learning with Dynamically Expandable Networks. ICLR (Poster) (2018)
Jaehong Yoon, Sung Ju Hwang
Combined Group and Exclusive Sparsity for Deep Neural Networks. ICML (2017)
Jeongtae Lee, Jaehong Yoon, Eunho Yang, Sung Ju Hwang
Lifelong Learning with Dynamically Expandable Networks. CoRR (2017)