Gwanghyun (Bradley) Kim

Welcome!

I am a third-year Ph.D. candidate in electrical and computer engineering (ECE) at Seoul National University (SNU), advised by Prof. Se Young Chun. I completed my M.S. in Bio and Brain Engineering (BBE) at Korea Advanced Institute of Science and Technology (KAIST), advised by Prof. Jong Chul Ye. I earned my B.S degree in electrical and electronic engineering (EEE) from Yonsei University, advised by Prof. Dong Hyun Kim.

Experience

• NVIDIA Research, Research Scientist Intern
  Hosted by Umar Iqbal, Xueting Li, and Ye Yuan
  Jan. 2024 - Present, Santa Clara, CA (remote)
• Google Research, Student Researcher
  Hosted by Alonso Martinez, Krishna Somandepalli, and Yu-Chuan Su
  Sep. 2023 - Jan. 2024, New York, NY
• Fast Campus, Lecturer in AI
  Letcure title: Mastering GANs through Model Implementation
  Nov. 2022 - Oct. 2023, Seoul, Korea

Research Interests

My research focuses on artificial intelligence (AI), particularly in computer vision (CV) and its intersection with Generative AI. I’m driven to leverage Generative AI’s capabilities to tackle complex problems. My work explores three key areas:

• Multimodal Generative AI (Image, Video, Text, Audio, Depth, Normal, Motion, 3D)
• High-Dimensional Generative AI (>8K image, Video, 3D, 4D)
• Human-Centric Generative AI (Human face, Digital humans, Human-centric scene)

Also, I’m interested in distributed learning (federated/split learning), and weakly- and self-supervised learning.

News

• [Sep. 2024] AVDiT & MoNL that is the work at Google is accepted to NeurIPS 2024.
• [Jul. 2024] BeyondScene is accepted to ECCV 2024.
• [Jan. 2024] I joined NVIDIA Research as a Research Intern.
• [Nov. 2023] I won the Qualcomm Innovation Fellowship South Korea 2023.
• [Sep. 2023] I joined Google Research as a Student Researcher.
• [Aug. 2023] I am selected as a recipient of Yulchon AI Star Scholarships.
• [Jul. 2023] PODIA-3D is accepted to ICCV 2023.
• [Apr. 2023] Ditto-NeRF is available on arXiv.
• [Feb. 2023] DATID-3D is accepted to CVPR 2023.
• [Nov. 2022] I start a new postiion as Lecturer in AI at Fast Campus.
• [Aug. 2022] DiffusionCLIP is invited to oral session at KCCV 2022.
• [Jun. 2022] DISTL is accepted to Nature Communications.
• [Mar. 2022] DiffusionCLIP is accepted to CVPR 2022.
• [Dec. 2021] I won the Best Master Student for the Year Award at BISPL, KAIST.
• [Dec. 2021] Our AI-based COVID-19 diagnosis solution passed exploratory clinical trial.
• [Nov. 2021] MT-ViT for COVID-19 is accepted to Medical Image Analysis.
• [Sep. 2021] FeSTA is accepted to NeurIPS 2021.
• [Dec. 2020] We won the 2nd place award in NVIDIA AI Healthcare Hackathon.

Research

Patents

• Higher-Resolution Human-Centric Scene Generation With Pretrained Diffusion
  S. Y. Chun, Gwanghyun Kim, H. Kim, H. Seo, D U Kang
  Korean Patent, Filed, No. 10-2024-0115484, 2024

• Multi-Modal Diffusion with Mixture of Timesteps
  K. Somandepalli, Gwanghyun Kim, A. Martinez, Y. Su, B. Jou, J. Lezama, A. Gupta, L. Yu, L. Jiang, A. Jansen, J. Walker
  U.S. Patent Application, Filed, No. 63/548,776, 2024

• Domain Adaptation of 3D Generative Model Across Large Domain Gap Using Pose-Preserved Text-to-Image Diffusion
  S. Y. Chun, Gwanghyun Kim
  U.S. Patent Application, Filed, No. 18/933,335, 2024
  
  Korean Patent, Filed, No. 10-2023-0149926, 2023

• Diversity-Preserved Domain Adaptation Using Text-to-Image Diffusion for 3D Generative Model
  S. Y. Chun, Gwanghyun Kim
  U.S. Patent Application, Filed, No. 18/534,243, 2023
  Korean Patent, Filed, No. 10-2023-0107395, 2023

• Severity quantification and lesion localization method of infectious disease on cxr using vision transformer and apparatus therefor
  J. C. Ye, S. Park, Gwanghyun Kim
  U.S. Patent Application, Filed, No. 17/704,879, 2022
  Korean Patent, Granted, No. 10-2558096, 2023

• Method of classifying lesion of chest x-ray radiograph based on data normalization and local patch and apparatus thereof
  J. C. Ye, S. Park, Y. Oh, Gwanghyun Kim
  U.S. Patent Application, Filed, No. 17/352,229, 2022
  Korean Patent, Filed, No. 10-2021-0039509, 2023

Awards and Honors

• Google Conference Scholarship ($3,000), Google, 2024
• Qualcomm Innovation Fellowship South Korea 2023 ($4,000), Qualcomm, 2023
• Yulchon AI Star Scholarships ($8,000), Youlchon Foundation & SNU AI Institute, 2023
• Brain Korea 21 Scholarships, Korea Research Foundation, 2022 - 2023
• Best Master Student for the Year Award ($2,000), BISPL, KAIST, 2021
• 2nd Place Award in NVIDIA AI Healthcare Hackathon ($8,500), NVIDIA & GIAI, 2020
• KAIST Scholarship, KAIST, 2020 - 2021
• Honors Scholarship, Yonsei University, Spring 2018, Fall 2018

Invited Talks

• BeyondScene: Higher-Resolution Human-Scene Generation With Pretrained Diffusion
  Cohere For AI, Cohere (Remote), 2024
• Tutorial on Denoising Diffusion Model
  Bioimaging Winter School, IEIE, 2024
• Audio-Video Latent Diffusion Model
  Google Research, Google, 2024
• Text-driven Control of 2D/3D Image Using Diffusion: DiffusionCLIP and DATID-3D
  Innerverz Seminar, Innerverz (Remote), 2023
• DiffusionCLIP: Text-Guided Diffusion Models for Robust Image Manipulation
  London Machine Learning Meetup, London Machine Learning Group (Remote), 2022
• Diffusion Models for Vision-Language Tasks
  Kakao Brain Open Seminar, Kakao Brain, 2022
• Deep Learning-based Diagnosis of Infectious Diseases on CXR and Audio data
  NVIDIA AI Developer Meetup, NVIDIA (Remote), 2020

Services

• Conference reviewers: CVPR, ICCV, ECCV, NeurIPS, ICLR, AAAI
• Journal Reviewers: T-PAMI, T-CSVT, ACM Comput Surv

Mentoring

• Heechang Kim (BS@SNU): Text-to-4D Generation, Summer 2023
• Hoigi Seo, Hayeon Kim (BS@SNU): Text-to-3D Generation, Winter 2022
  DITTO-NeRF: Diffusion-based Iterative Text To Omni-directional 3D Model

Extracurricular Activities

• Yonsei Mixed Choir (Avenante), Club president & Section leader, 2014 - 2019

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