Inkyu Shin

Ph.D. Candidate

Future Vehicle Engineering, KAIST

CV | Google Scholar | Github

I received Ph.D. degree in future vehicle (electrical engineering) from the Korea Advanced Institute of Science and Technology (KAIST), where I was co-advised by Prof. Kuk-Jin Yoon and Prof. In So Kweon.

My research interest lies in establishing a robust foundation for the field of computer vision. This endeavor focuses on pioneering advancements in beyond or human-level visual generation and recognition, while pursuing the data-efficiency for generalizability.

Contact

dlsrbgg33 [at] kaist.ac.kr

dlsrbgg33 [at] gmail.com
Bldg N1, Rm 211, 291 Daehak-ro, Yuseong-gu, Daejeon, Korea, 34141

Education

MS in Future Vehicle Engineering, 2021

KAIST, Korea

BS in Future Vehicle Engineering, 2019

HYU, Korea

Research Experiences

TikTok, San Jose, CA

Sep 2023 - Current

Research Intern, Mentors: Liang-Chieh Chen and Qihang Yu
Google Research, LA, CA (virtual)

May 2022 - April 2023

Student Researcher Intern, Mentors: Liang-Chieh Chen and Jun Xie
NEC Laboratories America, Inc, San Jose, CA (virtual)

May 2021 - Aug 2021

Research Intern, Mentor: Yi-Hsuan Tsai
Korea University, Seoul, Korea

Sep 2018 - Dec 2018

Research Intern, Data and Visual Analytics Lab.
Hanyang University, Seoul, Korea

Jul 2018 - Aug 2018

Research Assistant, Automotive Control and Electronics Laboratory.
Samsung Electronics., Hwasung,
Jan 2018 - Mar 2018

Research Intern, Semi-conductor Test group.

Publications

MTMMC: A Large-Scale Real-World Multi-Modal Camera Tracking Benchmark

Sanghyun Woo*, Kwanyong Park*, Inkyu Shin*, Myungchul Kim*, In So Kweon (*Equal contribution)

CVPR 2024

[ Paper | Project page ]
Video-kMaX: A Simple Unified Approach for Online and Near-Online Video Panoptic Segmentation

Inkyu Shin, Dahun Kim, Qihang Yu, Jun Xie, Hong-Seok Kim, Bradely Green

In So Kweon, Kuk-Jin Yoon, Liang-Chieh Chen

WACV 2024 [Oral]

*Also presented at CVPRW 2023 Workshop(T4V)

[ Paper | Code | Video Demo ]
MATE: Masked Autoencoders are Online 3D Test-Time Learners

Muhammad Jehanzeb Mirza*, Inkyu Shin*, Wei Lin*, Andreas Schriebl, Kunyang Sun, Jaesung Choe,

Horst Possegger, Mateusz Kozinski, In So Kweon, Kuk-Jin Yoon, Horst Bischof (*Equal contribution)

ICCV 2023

[ Paper | Code ]
TTA-COPE: Test-Time Adaptation for Category-Level Object Pose Estimation

Taeyeop Lee, Jonathan Tremblay, Valts Blukis, Bowen Wen, Byeong-Uk Lee, Inkyu Shin, Stan Birchfield, In So Kweon, Kuk-Jin Yoon

CVPR 2023

[ Paper ]
Bidirectional Domain Mixup for Domain Adaptive Semantic Segmentation

Daehan Kim*, Minseok Seo*, Kwanyong Park, Inkyu Shin, Sanghyun Woo

AAAI 2023

[ Paper ]
Learning Classifiers of Prototypes and Reciprocal Points for Universal Domain Adaptation

Sungsu Hur, Inkyu Shin, Kwanyong Park, Sanghyun Woo, In So Kweon

WACV 2023

[ Paper ]
Moving from 2D to 3D: volumetric medical image classification for rectal cancer staging

Joohyung Lee*, Jieun Oh*, Inkyu Shin, You-sung Kim, Dae Kyung Sohn, Tae-sung Kim, In So Kweon (*Equal contribution)

MICCAI 2022

[ Paper ]
MM-TTA: Multi-Modal Test-Time Adaptation for 3D Semantic Segmentation

Inkyu Shin, Yi-Hsuan Tsai, Bingbing Zhuang, Samuel Schulter, Buyu Liu, Sparsh Garg, In So Kweon, Kuk-Jin Yoon

CVPR 2022

[ Project page | Paper ]
UDA-COPE: Unsupervised Domain Adaptation for Category-level Object Pose Estimation

Taeyeop Lee, Byeong-Uk Lee, Inkyu Shin, Jaesung Choe, Ukcheol Shin, In So Kweon, Kuk-Jin Yoon

CVPR 2022

[ Paper ]
LabOR: Labeling Only if Required for Domain Adaptive Semantic Segmentation

Inkyu Shin, Dong-Jin Kim, Jae Won Cho, Sanghyun Woo, Kwanyong Park, In So Kweon

ICCV 2021 [Oral]

[ Paper ]
Unsupervised Domain Adaptation for Video Semantic Segmentation

Inkyu Shin*, Kwanyong Park*, Sanghyun Woo, In So Kweon (*Equal contribution)

arXiv

[ Paper ]
Discover, Hallucinate, and Adapt: Open Compound Domain Adaptation for Semantic Segmentation

Kwanyong Park, Sanghyun Woo, Inkyu Shin, In So Kweon

NeurIPS 2020

[ Paper ]
Two-phase Pseudo Label Densification for Self-training based Domain Adaptation

Inkyu Shin, Sanghyun Woo, Fei Pan, In So Kweon

ECCV 2020

*Also presented at CVPR 2020 Workshop(VL3)

[ Paper ]
Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision

Fei Pan, Inkyu Shin, Francois Rameau, Seokju Lee, In So Kweon

CVPR 2020 [Oral]

[ Project page | Paper | Code ]
Image-to-image translation via group-wise deep whitening-and-coloring transformation

Wongwoong Cho, Sungha Choi, David Keetae Park, Inkyu Shin, Jaegul Choo

CVPR 2019 [Oral]

[ Paper | Code ]