Minguk Kang

Ph.D. student in the Computer Vision Lab at POSTECH.

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I am a 4th year Ph.D. student in Graduate School of AI at POSTECH, where I am a member of the Computer Vision Lab under the supervision of Prof. Suha Kwak. I received B.S. in Engineering at Pusan National University.

I focus on computer vision, particularly on the subject of generative modeling and how it can be applied. I am fascinated by the diverse range of vision-related tasks that Generative Adversarial Networks (GANs) can potentially assist with. If you would like to know more about the research projects that I am working on, do not hesitate to reach out to me.

Email: mingukkang1994@gmail.com, mgkang@postech.ac.kr

Education

Feb, 2020 - Present Pohang University of Science and Technology (POSTECH), Pohang, South Korea
Integrated M.S./Ph.D. student in Graduate School of AI
Mar, 2013 - Aug, 2019 Pusan National University, Pusan, South Korea
B.S. in Engineering (Major: Mechanical Engineering and Minor: Statistics)

Experience

Jul, 2022 - current Adobe Research Creative Intelligence Lab
Feb, 2020 - Present Computer Vision Lab, POSTECH, Pohang, South Korea
  • Integrated M.S./Ph.D. student
  • Supervisor: Prof. Suha Kwak
Aug, 2017 - Jan, 2020 Vision and Intelligent System Lab, Pusan National University, Pusan, South Korea

Publications

  1. RISCLIP: Referring Image Segmentation Framework using CLIP
    Seoyeon Kim, Minguk Kang,  and Jaesik Park
    arXiv preprint arXiv:2306.08498 2023
  2. Fill-Up: Balancing Long-Tailed Data with Generative Models
    Joonghyuk Shin, Minguk Kang,  and Jaesik Park
    arXiv preprint arXiv:2306.07200 2023
  3. StudioGAN: A Taxonomy and Benchmark of GANs for Image Synthesis
    Minguk Kang, Joonghyuk Shin,  and Jaesik Park
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2023
  4. Holistic Evaluation of Text-to-Image Models
    Tony Lee, Michihiro Yasunaga, Chenlin Meng, Yifan Mai, Joon Sung Park, Agrim Gupta, Yunzhi Zhang, Deepak Narayanan, Hannah Benita Teufel, Marco Bellagente, Minguk Kang, Taesung Park, Jure Leskovec, Jun-Yan Zhu, Li Fei-Fei, Jiajun Wu, Stefano Ermon,  and Percy Liang
    Advances in Neural Information Processing Systems (NeurIPS), Datasets and Benchmarks Track, Spotlight 2023
  5. Scaling up GANs for Text-to-Image Synthesis
    Minguk Kang, Jun-Yan Zhu, Richard Zhang, Jaesik Park, Eli Shechtman, Sylvain Paris,  and Taesung Park
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Highlight, 2023
  6. Context-Aware Image Completion
    Jinoh Cho, Minguk Kang, Vibhav Vineet,  and Jaesik Park
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshop, 2023
  7. Rebooting ACGAN: Auxiliary Classifier GANs with Stable Training
    Minguk Kang, Woohyeon Shim, Minsu Cho,  and Jaesik Park
    Advances in Neural Information Processing Systems (NeurIPS), 2021
  8. ContraGAN: Contrastive Learning for Conditional Image Generation
    Minguk Kang,  and Jaesik Park
    Advances in Neural Information Processing Systems (NeurIPS), 2020

Honors and Awards

BK21 outstanding paper awards (2022)
  • 1st prize ($750) - Rebooting ACGAN: Auxiliary Classifier GANs with Stable Training (NeurIPS2021)
Qualcomm Innovation Fellowship Korea (2021)
  • Winner ($3,000) - ContraGAN: Contrastive Learning for Conditional Image Generation (NeurIPS2020)
16th Samsung Electro­Mechanics Paper Awards (2020)
  • Silver prize ($2,500)
National Science and Engineering Scholarship (2013-2019)
  • Received full scholarship for 8 semesters ($15,000)