Junghyup Lee

Staff Engineer at Samsung Research.

About

I am currently working at Samsung Electronics (Samsung Research), with a strong background in machine learning and computer vision.

My expertise and research interests span a broad range of topics, with particular experience in:

  • Vision-language models
  • Efficient machine learning
    • Network quantization
    • Neural architecture search
    • Knowledge distillation
  • Image matching (semantic correspondence)
  • Image super-resolution

Education & Experience

  • Staff Engineer, Samsung Electronics (Samsung Research), Seoul, Korea
    Sep. 2024 – Present

  • Ph.D. / M.S. Joint Program, Electrical and Electronic Engineering, Yonsei University, Seoul, Korea
    Mar. 2018 – Aug. 2024
    Supervised by Prof. Bumsub Ham at the Computer Vision Lab

  • B.S., Electrical and Electronic Engineering, Yonsei University, Seoul, Korea
    Mar. 2012 – Feb. 2018

Publications

First author

  • Scheduling Weight Transitions for Quantization-Aware Training
    Junghyup Lee*, Jeimin Jeon*, Dohyung Kim, and Bumsub Ham (*equal contribution).
    in International Conference on Computer Vision (ICCV), Oct. 2025.
    [Paper]
  • AZ-NAS: Assembling Zero-Cost Proxies for Network Architecture Search
    Junghyup Lee and Bumsub Ham.
    in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Jun. 2024.
    [Paper] [Project Page]
  • Learning Semantic Correspondence Exploiting an Object-level Prior
    Junghyup Lee*, Dohyung Kim*, Wonkyung Lee, and Bumsub Ham (*equal contribution).
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 44, no. 3, pp. 1399-1414, Mar. 2022.
    [Paper] [Project Page]
  • Network Quantization with Element-wise Gradient Scaling
    Junghyup Lee, Dohyung Kim, and Bumsub Ham.
    in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Jun. 2021.
    [Paper] [Project Page]
  • Learning with Privileged Information for Efficient Image Super-Resolution
    Wonkyung Lee*, Junghyup Lee*, Dohyung Kim*, and Bumsub Ham (*equal contribution).
    in European Conference on Computer Vision (ECCV), Aug. 2020.
    [Paper] [Project Page]
  • SFNet: Learning Object-aware Semantic Correspondence
    Junghyup Lee*, Dohyung Kim*, and Bumsub Ham (*equal contribution).
    in IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (Oral Presentation), Jun. 2019.
    [Paper] [Project Page]

Co-author

  • 3DPillars: Pillar-Based Two-Stage 3D Object Detection
    Jongyoun Noh, Junghyup Lee, Hyekang Park, and Bumsub Ham.
    Expert Systems with Applications (ESWA), vol. 289, no. 15, Sep. 2025.
    [Paper]
  • Subnet-Aware Dynamic Supernet Training for Neural Architecture Search
    Jeimin Jeon, Youngmin Oh, Junghyup Lee, Donghyeon Baek, Dohyung Kim, Chanho Eom, and Bumsub Ham.
    in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Jun. 2025.
    [Paper]
  • Toward INT4 Fixed-Point Training via Exploring Quantization Error for Gradients
    Dohyung Kim, Junghyup Lee, Jeimin Jeon, Jaehyeon Moon, and Bumsub Ham.
    in European Conference on Computer Vision (ECCV), Oct. 2024.
    [Paper]
  • PLoPS: Localization-Aware Person Search with Prototypical Normalization
    Sanghoon Lee, Youngmin Oh, Donghyeon Baek, Junghyup Lee, and Bumsub Ham.
    Pattern Recognition (PR), vol. 153, Sep. 2024.
    [Paper]
  • RankMixup: Ranking-Based Mixup Training for Network Calibration
    Jongyoun Noh, Hyekang Park, Junghyup Lee, and Bumsub Ham.
    in International Conference on Computer Vision (ICCV), Oct. 2023.
    [Paper] [Project Page]
  • Decomposed Knowledge Distillation for Class-Incremental Semantic Segmentation
    Donghyeon Baek, Youngmin Oh, Sanghoon Lee, Junghyup Lee, and Bumsub Ham.
    in Neural Information Processing Systems (NeurIPS), Nov. 2022.
    [Paper] [Project Page]
  • SIF-NPU: A 28nm 3.48 TOPS/W 0.25 TOPS/mm2 CNN Accelerator with Spatially Independent Fusion for Real-Time UHD Super-Resolution
    Sumin Lee, Ki-Beom Lee, Sunghwan Joo, Hong Keun Ahn, Junghyup Lee, Dohyung Kim, Bumsub Ham, and Seong-Ook Jung.
    in IEEE European Solid State Circuits Conference (ESSCIRC), Sep. 2022.
    [Paper]
  • OIMNet++: Prototypical Normalization and Localization-aware Learning for Person Search
    Sanghoon Lee, Youngmin Oh, Donghyeon Baek, Junghyup Lee, and Bumsub Ham.
    in European Conference on Computer Vision (ECCV), Oct. 2022.
    [Paper] [Project Page]
  • Learning by Aligning: Visible-Infrared Person Re-identification using Cross-Modal Correspondences
    Hyunjong Park*, Sanghoon Lee*, Junghyup Lee, and Bumsub Ham (*equal contribution).
    in International Conference on Computer Vision (ICCV), Oct. 2021.
    [Paper] [Project Page]
  • Video-based Person Re-identification with Spatial and Temporal Memory Networks
    Chanho Eom, Geon Lee, Junghyup Lee, and Bumsub Ham.
    in International Conference on Computer Vision (ICCV), Oct. 2021.
    [Paper] [Project Page]
  • Distance-aware Quantization
    Dohyung Kim, Junghyup Lee, and Bumsub Ham.
    in International Conference on Computer Vision (ICCV), Oct. 2021.
    [Paper] [Project Page]

Awards

Academic Service & Teaching

  • Reviewer
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020, 2021, 2022, 2023, 2024, 2025.
    Neural Information Processing Systems (NeurIPS), 2020, 2021, 2022.
    International Conference on Computer Vision (ICCV), 2019, 2021, 2025.
    European Conference on Computer Vision (ECCV), 2020.
    AAAI Conference on Artificial Intelligence (AAAI), 2023.
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI).

  • Teaching Assistant in School of Electrical and Electronic Engineering, Yonsei University
    Digital Image Processing (EEE5320), 2021-01.
    Random Process (EEE5110), 2020-01.
    Signal Processing Lab. (EEE4423), 2020-01.
    Smart Technology AIR (ENG2116), 2019-01.
    Signal Processing Lab. (EEE4423), 2019-01.
    Electrical and Electronic Engineering Experiments: Applications (EEE3313), 2018-02.
    Data Structure (EEE2020), 2018-01.

Scholarship & Funding

  • Global Ph.D Fellowship from National Research Foundation of Korea (NRF), 2019-2023.
  • Yangyoung Scholarship provided by Yangyoung Foundataion, 2016-2017.

Domestic Conferences & Invited Talks

  • Invited Talk (Network Quantization)
    Naver Labs Seminar, Jun. 2022.
  • Poster Presentation (Network Quantization with Element-wise Gradient Scaling)
    Naver AI Author Meetup - Computer Vision, Sep. 2021.
    Korean Conference on Computer Vision (KCCV), Aug. 2021.
  • Poster Presentation (Video Pose Propagation Using Seamntic Correspondence)
    32nd Workshop on Image Processing and Image Understanding (IPIU), Jan. 2020.
  • Poster Presentation (SFNet: Learning Object-aware Semantic Correspondence)
    Samsung AI Forum (SAIF), Nov. 2019.
    Workshop on Frontiers of Electrical Engineering (FREE) in Yonsei University, Oct. 2019.
    Korean Conference on Computer Vision (KCCV), Jul. 2019.