I am a Ph.D. student advised by Professor In So Kweon, at Electrical Engineering, KAIST. I interned at Adobe (San Jose, CA, 2019), Google Brain (Mountain View, CA, 2020), and Google Research (Virtual, 2021). I am a recepient of Microsoft Research Asia Fellowship (top 12 students in Asia-Pacific) and Global Ph.D Fellowship from NRF Korea.

My research interests lie in machine learning and computer vision. Particularly, my research topics include spatio-temporal learning and video pixel labeling / generation tasks, and minimal human supervision (self- / weakly- supervised learning).

Contact

  • mcahny [at] kaist.ac.kr

    mcahny01 [at] gmail.com

  • Bldg N1, Rm 211, 291 Daehak-ro, Yuseong-gu, Daejeon, Korea, 34141

Education

  • MS in Electrical Engineering, 2018

    KAIST, Korea

    Thesis: "Reducing Human Supervision in Supervised Learning"

    Advisor: Prof. In So Kweon

  • BS in Electrical Engineering, 2016

    KAIST, Korea

  • Exchange Student Program, 2014

    KTH Royal Institute of Technology in Stockholm, Sweden

Research Experiences

  • Google Research, LA, CA (virtual)
    May 2021 - Jan 2022

    Student Researcher (Part-time Intern)
    Mentors: Liang-Chieh Chen
  • Google Brain, MTV, CA (virtual)
    Jun 2020 - Nov 2020

    Research Intern, Brain Robotics Group, Vision Lab.
    Mentors: Weicheng Kuo, Tsung-Yi Lin, and Anelia Anegelova
  • Adobe Research, San Jose, CA
    Jun 2019 - Sep 2019

    Research Intern, Deep Learning Group, Creative Intelligence Lab.
    Mentor: Joon-Young Lee
  • KAIST, Daejeon, Korea
    Mar 2018 - Present

    Research Assistant, Robotics and Computer Vision Lab.

Publications

  • Tailor Me: An Editing Network for Fashion Attribute Shape Manipulation

    Youngjoong Kwon, Stefano Petrangeli, Dahun Kim, Haoliang Wang, Vishy Swaminathan, Henry Fuchs

    WACV 2022

    [ paper ]

  • Global Context and Geometric Priors for Effective Non-Local Self-Attention

    Sanghyun Woo, Dahun Kim, Joon-Young Lee, In So Kweon

    BMVC 2021 Received Bronze Prize, 27th HumanTech Paper Award, Samsung Electronics Co., Ltd

    [ paper ]

  • Neural Human Performer: Learning Generalizable Radiance Fields for Human Performance Rendering

    Youngjoong Kwon, Dahun Kim, Duygu Ceylan, Henry Fuchs

    NeurIPS 2021 Spotlight presentation (Acceptance: < 3.0%)

    [ paper / code / project ]

  • Learning Open-World Object Proposals without Learning to Classify

    Dahun Kim, Tsung-Yi Lin, Anelia Angelova, In So Kweon, Weicheng Kuo

    Preprint 2021 Invited paper talk at Open-World Segmentation (UVO) Workshop @ ICCV 2021
    Received Qualcomm Innovation Award 2021

    [ paper / code / talk ]

  • DeepLab2: A TensorFlow Library for Deep Labeling

    Mark Weber, Huiyu Wang, Siyuan Qiao, Jun Xie, Maxwell D. Collins, Yukun Zhu, Liangzhe Yuan,
       Dahun Kim, Qihang Yu, Daniel Cremers, Laura Leal-Taixe, Alan L. Yuille, Florian Schroff, Hartwig Adam, Liang-Chieh Chen

    Technical report 2021 Code contribution

    [ paper / code ]

  • Learning to Associate Every Segment for Video Panoptic Segmentation

    Sanghyun Woo, Dahun Kim, Joon-Young Lee, In So Kweon

    CVPR 2021

    [ paper ]

  • The Devil is in the Boundary: Exploiting Boundary Representation for Basis-based Instance Segmentation

    Myungchul Kim, Sanghyun Woo, Dahun Kim, In So Kweon

    WACV 2021

    [ paper ]

  • Rotationally-Consistent Novel View Synthesis for Humans

    Youngjoong Kwon, Stefano Petrangeli, Dahun Kim, Haoliang Wang, Henry Fuchs, Vishy Swaminathan

    MM 2020 (Acceptance: 472/1698 ≈ 27.8%)

    [ paper / dataset ]

  • Align-and-Attend Network for Globally and Locally Coherent Video Inpainting

    Sanghyun Woo, Dahun Kim, KwanYoung Park, Joon-Young Lee, In So Kweon

    BMVC 2020 (Acceptance: 195/670 ≈ 29.1%)

    [ paper ]

  • Rotationally-Temporally Consistent Novel-View Synthesis of Human Performance Video

    Youngjoong Kwon, Stefano Petrangeli, Dahun Kim, Haoliang Wang, Eunbyung Park, Vishy Swaminathan, Henry Fuchs

    ECCV 2020 Spotlight presentation (Acceptance: 265/5025 ≈ 5.3%)

    [ paper / dataset / code ]

  • Video Panoptic Segmentation

    Dahun Kim, Sanghyun Woo, Joon-Young Lee, In So Kweon

    CVPR 2020 Oral presentation (Acceptance: 335/6656 ≈ 5.0%)

    [ paper / code / project ]

  • Recurrent Temporal Aggregation Framework for Deep Video Inpainting

    Dahun Kim*, Sanghyun Woo*, Joon-Young Lee, In So Kweon (* equal contribution)

    TPAMI 2020 Received KAIST-Samsung Industry-University Cooperation Best Paper Award

    [ paper / code ]

  • Hide-and-Tell: Learning to Bridge Photo Streams for Visual Storytelling

    Yunjae Jung, Dahun Kim, Sanghyun Woo, Kyungsu Kim, Sungjin Kim, In So Kweon

    AAAI 2020 (Acceptance: 1591/7737 ≈ 20.6%)

    [ paper ]

  • Deep Blind Video Decaptioning by Temporal Aggregation and Recurrence

    Dahun Kim*, Sanghyun Woo*, Joon-Young Lee, In So Kweon (* equal contribution)

    CVPR 2019 (Acceptance: 1294/5160 ≈ 25.2%)

    1st place winner of ECCV 2018 Chalearn LAP Video De-Captioning Challenge

    [ paper / code / video / project ]

  • Deep Video Inpainting

    Dahun Kim*, Sanghyun Woo*, Joon-Young Lee, In So Kweon (* equal contribution)

    CVPR 2019 (Acceptance: 1294/5160 ≈ 25.2%)

    [ paper / code / video / project ]

  • Self-Supervised Video Representation Learning with Space-Time Cubic Puzzles

    Dahun Kim, Donghyeon Cho, In So Kweon

    AAAI 2019 Oral presentation (Acceptance: 459/7095 ≈ 6.5%)

    [ paper ]

  • Discriminative Feature Learning for Unsupervised Video Summarization

    Yunjae Jung, Donghyeon Cho, Dahun Kim, Sanghyun Woo, In So Kweon

    AAAI 2019 Oral presentation (Acceptance: 459/7095 ≈ 6.5%)
    Received Honorable Mention, 25th HumanTech Paper Award, Samsung Electronics Co., Ltd

    [ paper ]

  • Video Retargeting: Trade-off between Content Preservation and Spatio-temporal Consistency

    Donghyeon Cho, Yunjae Jung, Francois Rameau, Dahun Kim, Sanghyun Woo and In So Kweon

    MM 2019 (Acceptance: 252/936 ≈ 26.9%)

    [ paper ]

  • Preserving Semantic and Temporal Consistency for Unpaired Video-to-Video Translation

    Kwanyong Park, Sanghyun Woo, Dahun Kim, Donghyeon Cho, In So Kweon

    MM 2019 (Acceptance: 252/936 ≈ 26.9%)

    [ paper ]

  • LinkNet: Relational Embedding for Scene Graph

    Sanghyun Woo*, Dahun Kim*, Donghyeon Cho, In So Kweon (* equal contribution)

    NIPS 2018 (Acceptance: 1011/4856 ≈ 20.8%)

    [ paper ]

  • Learning Image Representations by Completing Damaged Jigsaw Puzzles

    Dahun Kim, Donghyeon Cho, Donggeun Yoo, In So Kweon

    WACV 2018 Oral presentation

    [ paper ]

  • Two Phase Learning for Weakly Supervised Object Localization

    Dahun Kim, Donghyeon Cho, Donggeun Yoo, In So Kweon

    ICCV 2017 (Acceptance: 621/2143 ≈ 28.9%)

    [ paper ]

Awards & Honors

  • Qualcomm Innovation Award ($4,000), 2021
  • Outstanding Reviewer Award, IEEE Conference on Computer Vision and Pattern Recognition, 2021
  • Bronze Prize, 27th HumanTech Paper Award, Samsung Electronics Co., Ltd. 2021 ($5,000)
  • Outstanding Reviewer Award, European Conference on Computer Vision, 2020
  • KAIST-Samsung Industry-University Cooperation Best Paper Award ($3,000), 2020
  • Microsoft Research Asia (MSRA) Ph.D. Fellowship 2019 Winner ($10,000)
  • Global Ph.D. Fellowship, National Research Foundation of Korea ($60,000 + 3-year full scholarship)
  • 1st Place Award in ChaLearn LAP 2018 Inpainting Challenge Track2 - Video Decaptioning (ECCV 2018 challenge)
  • Honorable Mention, 25th HumanTech Paper Award, Samsung Electronics Co., Ltd. 2019 ($2,000)
  • International Computer Vision Summer School (ICVSS) 2018, Sicily, Italy

Academic Activities

Reviewer

    :
  • EuroGraphics 2021
  • ECCV 2020
  • CVPR 2020, 2021
  • AAAI 2020, 2021
  • ICCV 2019, 2021
  • NeurIPS 2020
  • ICLR 2021, 2022
  • ICML 2021
  • Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
  • Transactions on Neural Networks and Learning Systems (TNNLS)
  • Transactions on Image Processing (TIP)