Juhong Min
Scholar

Juhong Min

Google Scholar ID: 261oVi4AAAAJ
Samsung Research America
computer visionmultimodal learningrobotics
Citations & Impact
All-time
Citations
1,458
 
H-index
12
 
i10-index
12
 
Publications
20
 
Co-authors
17
list available
Resume (English only)
Academic Achievements
  • Published multiple high-impact papers including ICML 2024, CVPR 2024, WACV 2024 (oral, best paper finalist), TPAMI 2023, etc.
  • IPIU Best Paper Award (2024) for '3D Geometric Shape Assembly via Efficient Point Cloud Matching'.
  • CSE Outstanding Research Award and Best Ph.D. Dissertation Award at POSTECH (2024).
  • Google PhD Fellowship (2022) in Machine Perception, Speech Technology, and Computer Vision.
  • Qualcomm Innovation Fellowship Korea (2021) for 'Convolutional Hough Matching Networks'.
  • BK21 Outstanding Paper Awards (2022, 2023) and NAVER Ph.D. Fellowship Award (2020).
  • Regular reviewer for top-tier venues (CVPR, ICCV, ECCV, NeurIPS, ICML, AAAI, TPAMI, IJCV); recognized as Outstanding Reviewer (top 5%) at CVPR 2022 and ICCV 2021.
  • Webmaster for International Conference on Computer Vision (ICCV) 2019.
Research Experience
  • Senior Researcher, Samsung Research America, Mountain View, CA (Feb 2025 – present). Focus: vision-language models for edge devices. Collaborating with Suren Kumar.
  • Postdoctoral Researcher, POSTECH, Pohang, Korea (Mar 2024 – Jan 2025). Focus: foundation models for robotics. Worked with Prof. Minsu Cho.
  • Student Researcher, Google Research, Grenoble, France (Jul 2023 – Mar 2024). Focus: modular reasoning for video question answering. Collaborated with Shyamal Buch, Arsha Nagrani, and Cordelia Schmid. Published CVPR paper 'MoReVQA'.
  • Research Intern, Microsoft Research Asia (Remote) (Oct 2021 – Apr 2022). Focus: biologically inspired image representation learning. Collaborated with Yucheng Zhao and Chong Luo. Published NeurIPS paper 'PerViT'.
  • Interim Associate Software Engineer, Electronic Arts Korea Inc., Seoul (Jan 2018 – Mar 2018). Developed and maintained FIFA Online 3 client/front-end UI modules.