Subin Kim

Ph.D. student

KAIST AI

subin-kim [AT] kaist.ac.kr

About

I am a 2nd 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

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

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

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

Experience

AI Research InternJune. 2024 - Sep. 2024

Adobe at San Jose

AI Research InternAug. 2021 - Feb. 2022

Upstage AI

Winter InternshipJan. 2020 - Feb. 2020

Samsung Electro-Mechanics

Academic Services

Conference Reviewer, ICML, NeurIPS, ICLR, SIGGRAPH

Journal Reviewer, IJCV

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