Bohyung Han

News

ICML 2025

• (05/2024) I will be serving as a Senior Area Chair in ICML 2025.

CVPR 2025

• (05/2024) I will be serving as an Area Chair in CVPR 2025.

ICLR 2025

• (05/2024) I will be serving as a Senior Area Chair in ICLR 2025.

ICCV 2025

• (05/2024) I will be serving as a Program Chair in ICCV 2025.

FIFO-Diffusion

• (05/2024) We released a novel inference algorithm for infinitely long video generation! This algorithm is easy-to-use, generic, and efficient, and you can plug in any video generation models straightforwardly. [paper] [project page] .

Education

• Ph.D. in Computer Science, University of Maryland, College Park, MD, USA, 12/2005 (Advisor: Prof. Larry S. Davis)
• M.S. in Computer Engineering, Seoul National University, Seoul, Korea, 08/2000 (Advisor: Prof. Kunsoo Park)
• B.S. in Computer Engineering, Seoul National University, Seoul, Korea, 02/1997

Selected Recent Publication [Full list]

• Sanghyeok Chu, Seonguk Seo, and Bohyung Han, Fine-Grained Video Captioning through Scene Graph Consolidation, in ICML 2025
• Jinyoung Choi, Junoh Kang, and Bohyung Han, Enhanced Diffusion Sampling via Extrapolation with Multiple ODE Solutions, in ICLR 2025
• Hyunsoo Lee, Minsoo Kang, and Bohyung Han, Diffusion-Based Conditional Image Editing through Optimized Inference with Guidance, in WACV 2025
• Seonguk Seo, Dongwan Kim, and Bohyung Han, Revisiting Machine Unlearning with Dimensional Alignment, in WACV 2025
• Seonguk Seo and Bohyung Han, Re-evaluating Group Robustness via Adaptive Class-Specific Scaling, in WACV 2025
• Seonguk Seo, Gokhan Uzunbas, Bohyung Han, Xuefei Cao, and Ser-Nam Lim, ;Metric Compatible Training for Online Backfilling in Large-Scale Retrieval, WACV 2025
• Jihwan Kim*, Junoh Kang*, Jinyoung Choi, and Bohyung Han, FIFO-Diffusion: Generating Infinite Videos from Text without Training, in NeurIPS 2024 [project] [code]
• Mijeong KIm, Jongwoo Lim, and Bohyung Han, 4D Gaussian Splatting in the Wild with Uncertainty-Aware Regularization, in NeurIPS 2024
• Jaeyoo Park, Jin Young Choi, Jeonghyung Park, and Bohyung Han, Hierarchical Visual Feature Aggregation for OCR-Free Document Understanding, in NeurIPS 2024
• Junsung Lee, Minsoo Kang, and Bohyung Han, Diffusion-Based Image-to-Image Translation by Noise Correction via Prompt Interpolation, in ECCV 2024
• Minji Kim, Dongyoon Han, Taekyung Kim, and Bohyung Han, Leveraging Temporal Contextualization for Video Action Recognition , in ECCV 2024
• Junoh Kang*, Jinyoung Choi*, Sungjik Choi, and Bohyung Han, Observation-Guided Diffusion Probabilistic Models, in CVPR 2024 [github]
• Seonguk Seo*, Jinkyu Kim*, Geeho Kim*, and Bohyung Han, Relaxed Contrastive Learning for Federated Learning, in CVPR 2024
• Donghun Ryou, Inju Ha, Hyewon Yoo, Dongwan Kim, and Bohyung Han, Robust Image Denoising through Adversarial Frequency Mixup, in CVPR 2024
• Geeho Kim*, Jinkyu Kim*, and Bohyung Han, Communication-Efficient Federated Learning with Acceleration of Global Momentum, in CVPR 2024 [github]
• Taehoon Kim, Jaeyoo Park, and Bohyung Han, Cross-Class Feature Augmentation for Class Incremental Learning, in AAAI 2024
• Taehoon Kim, and Bohyung Han, Randomized Adversarial Style Perturbations for Domain Generalization, in WACV 2024
• Hyunsoo Lee*, Minsoo Kang*, and Bohyung Han, Conditional Score Guidance for Text-Driven Image-to-Image Translation, in NeurIPS 2023
• Tackgeun You, Mijeong Kim, Jungtaek Kim, and Bohyung Han, Generative Neural Fields by Mixtures of Neural Implicit Functions, in NeurIPS 2023
• Zunzhi You, Daochang Liu, Bohyung Han, and Chang Xu, Beyond Pretrained Features: Noisy Image Modeling Provides Adversarial Defense, in NeurIPS 2023
• Geeho Kim, Junoh Kang, and Bohyung Han, Open-Set Representation Learning through Combinatorial Embedding, in CVPR 2023
• Dongwan Kim, and Bohyung Han, On the Stability-Plasticity Dilemma of Class-Incremental Learning, in CVPR 2023
• Jaeyoo Park, and Bohyung Han, Multi-Modal Representation Learning with Text-Driven Soft Masks, in CVPR 2023
• Minsoo Kang, Doyup Lee, Jiseob Kim, Saehoon Kim, and Bohyung Han, Variational Distribution Learning for Unsupervised Text-to-Image Generation, in CVPR 2023

Advising

• PostDoc: Insoo Kim
• Graduate Students:
  • Jinyoung Choi, Jaeyoo Park [Internship at NAVER in 2024; Youlchon AI Star Scholarship in 2023; Qualcomm Innovation Award in 2023], Geeho Kim [Qualcomm Innovation Award in 2021], Mijeong Kim [Internship at Kakao Brain in 2022, Kwangjeong Scholarship in 2020], Sanghyeok Chu, Dongwan Kim [Internship at NEC Research in 2020 and 2023 and at Amazon in 2024, Qualcomm Innovation Award in 2022], Minji Kim [Qualcomm Innovation Award in 2024; Internship at NAVER in 2023], Jinkyu Kim, Junoh Kang [Internship at Adobe in 2024], Donghun Ryou, Sungsu Hur, Hyungseo Ahn, Mingu Kang, Namgi Kim, Jungyoon Choi, Wonjae Roh, Jin Young Choi, Jihwan KIm, Inju Ha
  • Jaehyung Yoo (SAIT), Heewon Kim (SAIT), Eunjae Hong (HD Korea Shipbuilding and Offshore Engineering), Daeul Park (SAIT)
• Undergraduate Students: Junsung Lee (ECE), Gunhee Kim (CSE), Yoonho Kim (POSTECH CSE)
• Visiting Students: Ugo Bellanca (ENS Paris)
• Alumn
  • Yumin Suh (PostDoc; Research Scientist at NEC Laboratories America, now AI Research Scientist at Atmanity)
  • Jan Feyereisl (PostDoc; now at GoodAI)
  • Seonguk Seo (Ph.D.; 2024; now Research Scientist at Meta) [Internship at Meta AI in 2022, Internship at Adobe Research in 2019, Youlchon Scholarship in 2020]
  • Tackgeun You (Ph.D.; 2024; now Research Scientist at KIST) [NAVER Ph.D. Fellowship in 2020, Internship at Kakao Brain in 2021-2022]
  • Minsoo Kang (Ph.D.; 2024; Staff Engineer at SAIT, now Research Engineer at SK Telecom) [Internship at Kakao Brain in 2022, Youlchon Scholarship in 2022]
  • Ilchae Jung (Ph.D.; 2022; Research Scientist at Naver CLOVA, now Research Scientist at ETRI) [Internship at NVIDIA Research in 2019; NAVER Fellowship in 2018, Internship at SAIT in 2021]
  • Jonghwan Mun (Ph.D.; 2020; Research Scientist at Kakao Brain, now Staff Engineer at SAIT) [Internship at Snap Research in 2018; NAVER Fellowship 2018]
  • Paul Hongsuck Seo (Ph.D.; 2020; Research Scientist at Google, now Assistant Professor in Korea University) [Internship at Disney Research and Google in 2017, Internship at Google AI and Facebook in 2019; NAVER Fellowship 2017; The Best Dissertation Award @ POSTECH in 2019]
  • Hyeonwoo Noh (Ph.D.; 2019; now Research Scientist at OpenAI) [MSRA Fellowship in 2016; Internship at Google in 2016 and DeepMind in 2018]
  • Jeany Son (Ph.D.; 2018; Research Staff at ETRI, now Assistant Professor at GIST) [Qualcomm Innovation Award in 2014]
  • Donghun Yeo (Ph.D.; 2017; Research Engineer at Stradvision, now CTO at GenGenAI
  • Seunghoon Hong (Ph.D.; 2017; PostDoc at University of Michigan, now Associate Professor at KAIST) [MSRA Fellowship in 2014; Exchange student at Michigan in 2015 and 2016; The Best Dissertation Award @ POSTECH in 2017]
  • Suha Kwak (Ph.D.; 2014; Postdoc at INRIA, now Associate Professor at POSTECH)
  • Taegyu Lim (Ph.D.; 2012; now VP in R&D at Motion2AI)
  • Hyewon Yoo (MS; 2024; now at KT)
  • Seungmin Lee (MS; 2024)
  • Taehoon Kim (MS; 2024; now Ph.D. student in The University of Edinburgh)
  • Dong-Hwan Jang (MS; 2023; now at SAIT)
  • Jong-Hyeon Seon (MS; 2023; now at SK Telecom)
  • Jaedong Hwang (MS; 2021; now Ph.D. student at MIT) [Internship at Adobe Research in 2020]
  • Junha Kim (MS; 2021; now at Lunit)
  • Seohyun Kim (MS; 2021; now at Naver Labs.)
  • Daniel Kim (MS; 2021; now at TmaxSoft) [Internship at Microsoft Research Asia in 2017]
  • Sunwoo Oh (MS; 2020; now at NVIDIA) [Internship at NVIDIA in 2018]
  • Wonsuk Lee (MS; 2019; now at Lunit)
  • Woong Gi Chang (MS; 2019; now at Samsung Electronics)
  • Moo-Yeol Baek (MS; 2018; now at Naver Labs.) [internship at Snap Research in 2017]
  • Solae Lee (MS; 2018; now at Samsung Electronics)
  • Chanmi You (MS; 2017; now at Naver Labs.)
  • Hyeonseob Nam (MS; 2016; now Research Scientist at Lunit) [Qualcomm Innovation Award in 2014]
  • Kayoung Park (MS; 2015; now at ADD)
  • Inveom Kwak (MS; 2014; now Ph.D. student in CITE at POSTECH)
  • Suna Kim (MS; 2013; now at ADD)
  • Joonhyuk Kim
  • Hyunsoo Lee (undergraduate student, SNU ECE)
  • Myungseo Song (undergraduate student, SNU CSE)
  • Changkyu Song (undergraduate student; Ph.D. student at Rutgers, now at Waymo)

Professional Service

• Conference/workshop organizer: ICCV 2025 (program chair), ACCV 2022 (general chair), ECCV 2022 (demo chair), CVPR 2021 (workshop chair), ACCV 2020 (workshop chair), ICCV 2019 (tutorial chair), Landmark@CVPR2018 (organizer), DTCE@ACCV2012 (organizer), ACCV 2014 (demo chair)
• TPC Vice-Chair: ICASSP 2024
• Paper Award Committee: ICLR (2023, 2022), ICML (2023)
• Senior Area Chair: CVPR (2023, 2024), NeurIPS (2022, 2024), ICLR (2022-2025), ICML 2025
• Area chair: NIPS/NeurIPS (2015, 2018, 2019, 2021, 2023), ICCV (2015, 2017, 2019, 2021, 2023), CVPR (2017, 2022, 2025), ECCV (2020, 2022, 2024), ICLR 2021, AAAI 2024, IJCAI 2021, ACCV (2012, 2014, 2016, 2018, 2024), WACV (2014, 2017, 2021, 2023-2025), ACML 2016, AVSS 2018
• Associate Editor: IROS (2021, 2022)
• Senior Program Committee: IJCAI (2018, 2019, 2020), AAAI 2020
• Program committee: ICML (2018, 2019), ICLR (2018, 2019), NIPS/NeurIPS (2016, 2017, 2020), CVPR (2007-2016, 2018), ICCV (2007, 2009, 2011, 2013), ECCV (2010, 2012, 2014, 2018), AISTATS (2017, 2018), ACCV (2009, 2010), AAAI (2016), IJCAI (2013), 3DV (2015), ICME (2013, 2014), PSIVT (2013)
• Journal Associate Editor: IEEE Trans. on Pattern Analysis and Machine Intelligence (2018-present), Computer Vision and Image Understanding (2015-2023), Machine Vision and Applications (2014-present), IPSJ Trans. on Computer Vision and Applications (2013-2017)
• Journal reviewer: TPAMI, IJCV, CVIU, TIP, IVC, TCSVT, TSP, TNNLS, T-IFS, JVCI, etc.