Subin Kim
Ph.D. student
KAIST AI
subin-kim [AT] kaist.ac.kr
About
I am a 3rd year Ph.D. student at Algorithmic Intelligence Laboratory (ALIN-LAB), advised by Prof. Jinwoo Shin at Korea Advanced Institute of Science and Technology (KAIST). I received my B.S. in Electrical Engineering at KAIST in 2022. My research primarily focuses on the efficient handling of 2D/3D video signals for various machine learning tasks, with a particular emphasis on the continuity inherent in these signals.
Publications
Tuning-Free Multi-Event Long Video Generation via Synchronized Coupled Sampling
Subin Kim, Seoung Wug Oh,Jui-Hsien Wang,Joon-Young Lee,Jinwoo Shin
Preprint
MC2: Multi-view Consistent Depth Estimation via Coordinated Image-based Neural Rendering
Subin Kim*, Seong Hyeon Park*, Sihyun Yu, Kihyuk Sohn, Jinwoo Shin
CVPR Workshop on Neural Rendering Intelligence, 2024
Collaborative Score Distillation for Consistent Visual Editing
Subin Kim*, Kyungmin Lee*, June Suk Choi, Jongheon Jeong, Kihyuk Sohn, Jinwoo Shin
Conference on Neural Information Processing Systems (NeurIPS), 2023
Learning Large-scale Neural Fields via Context Pruned Meta-Learning
Jihoon Tack, Subin Kim, Sihyun Yu, Jaeho Lee, Jinwoo Shin, Jonathan Richard Schwarz
Conference on Neural Information Processing Systems (NeurIPS), 2023
Video Probabilistic Diffusion Models in Projected Latent Space
Sihyun Yu, Kihyuk Sohn, Subin Kim, Jinwoo Shin
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
Winners, Qualcomm Innovation Fellowship Korea 2023
Scalable Neural Video Representations with Learnable Positional Features
Subin Kim*, Sihyun Yu*, Jaeho Lee, Jinwoo Shin
Conference on Neural Information Processing Systems (NeurIPS), 2022
Winners, Qualcomm Innovation Fellowship Korea 2023
Tuning-Free Multi-Event Long Video Generation via Synchronized Coupled Sampling
Subin Kim, Seoung Wug Oh,Jui-Hsien Wang,Joon-Young Lee,Jinwoo Shin
Preprint
MC2: Multi-view Consistent Depth Estimation via Coordinated Image-based Neural Rendering
Subin Kim*, Seong Hyeon Park*, Sihyun Yu, Kihyuk Sohn, Jinwoo Shin
CVPR Workshop on Neural Rendering Intelligence, 2024
Collaborative Score Distillation for Consistent Visual Editing
Subin Kim*, Kyungmin Lee*, June Suk Choi, Jongheon Jeong, Kihyuk Sohn, Jinwoo Shin
Conference on Neural Information Processing Systems (NeurIPS), 2023
Learning Large-scale Neural Fields via Context Pruned Meta-Learning
Jihoon Tack, Subin Kim, Sihyun Yu, Jaeho Lee, Jinwoo Shin, Jonathan Richard Schwarz
Conference on Neural Information Processing Systems (NeurIPS), 2023
Video Probabilistic Diffusion Models in Projected Latent Space
Sihyun Yu, Kihyuk Sohn, Subin Kim, Jinwoo Shin
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
Scalable Neural Video Representations with Learnable Positional Features
Subin Kim*, Sihyun Yu*, Jaeho Lee, Jinwoo Shin
Conference on Neural Information Processing Systems (NeurIPS), 2022
Experience
Research Scientist Intern | Adobe FireFly & Adobe Research (San Jose)Mar. 2025 - Sep. 2025
with mentors: Tobias Hinz, Difan Liu, Yiran XuResearch Scientist Intern | Adobe Research (San Jose)June. 2024 - Oct. 2024
with mentors: Seoung Wug Oh, Jui-Hsien Wang, Joon-Young LeeAI Research Intern | Upstage AIAug. 2021 - Feb. 2022
Winter Internship | Samsung Electro-MechanicsJan. 2020 - Feb. 2020
Education
Korea Advanced Institute of Science and Technology (KAIST)Mar. 2022 - Present
Ph.D. Student in Artificial Intelligence
Korea Advanced Institute of Science and Technology (KAIST)Mar. 2017 - Feb. 2022
B.S. in Electrical Engineering
Academic Services
Conference Reviewer, ICML, NeurIPS, ICLR, SIGGRAPH, CVPR
Journal Reviewer, IJCV, TMLR
Workshop Reviewer, SPIGM@ICML, INRV@CVPR
Honors & Awards
Winner, Qualcomm Innovation Fellowship Korea 2023
2nd Place, SAMSUNG AI Forum 2023
Recipient, Google Conference Scholarships (APAC) NeurIPS 2023
Demo, CVPR 2023, CVPR 2024
Art Gallery, CVPR 2023
Conference Scholar Award, NeurIPS 2022, CVPR 2023, NeurIPS 2023, CVPR 2024
1st place, Creative Space G A.I & IoT Hackathon