Inkyu Shin

Inkyu Shin

KAIST

H-index: 9

Asia-South Korea

About Inkyu Shin

Inkyu Shin, With an exceptional h-index of 9 and a recent h-index of 9 (since 2020), a distinguished researcher at KAIST, specializes in the field of Computer Vision / Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

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

Video-kmax: A simple unified approach for online and near-online video panoptic segmentation

Bidirectional domain mixup for domain adaptive semantic segmentation

Multi-modal test-time adaptation

MATE: Masked Autoencoders are Online 3D Test-Time Learners

Tta-cope: Test-time adaptation for category-level object pose estimation

MaXTron: Mask Transformer with Trajectory Attention for Video Panoptic Segmentation

Learning classifiers of prototypes and reciprocal points for universal domain adaptation

Inkyu Shin Information

University

Position

___

Citations(all)

781

Citations(since 2020)

781

Cited By

88

hIndex(all)

9

hIndex(since 2020)

9

i10Index(all)

7

i10Index(since 2020)

7

Email

University Profile Page

KAIST

Google Scholar

View Google Scholar Profile

Inkyu Shin Skills & Research Interests

Computer Vision / Machine Learning

Top articles of Inkyu Shin

Title

Journal

Author(s)

Publication Date

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

arXiv preprint arXiv:2403.20225

Sanghyun Woo

Kwanyong Park

Inkyu Shin

Myungchul Kim

In So Kweon

2024/3/29

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

...

2024

Bidirectional domain mixup for domain adaptive semantic segmentation

Proceedings of the AAAI Conference on Artificial Intelligence

Daehan Kim

Minseok Seo

Kwanyong Park

Inkyu Shin

Sanghyun Woo

...

2023/6/26

Multi-modal test-time adaptation

2023/3/16

MATE: Masked Autoencoders are Online 3D Test-Time Learners

Inkyu Shin

Kuk-Jin Yoon

Jaesung Choe

In-So Kweon

Lin Wei

...

2023

Tta-cope: Test-time adaptation for category-level object pose estimation

Taeyeop Lee

Jonathan Tremblay

Valts Blukis

Bowen Wen

Byeong-Uk Lee

...

2023

MaXTron: Mask Transformer with Trajectory Attention for Video Panoptic Segmentation

Ju He

Qihang Yu

Inkyu Shin

Xueqing Deng

Alan Yuille

...

2023/10/13

Learning classifiers of prototypes and reciprocal points for universal domain adaptation

Sungsu Hur

Inkyu Shin

Kwanyong Park

Sanghyun Woo

In So Kweon

2023

Test-time Adaptation in the Dynamic World with Compound Domain Knowledge Management

IEEE Robotics and Automation Letters

Junha Song

Kwanyong Park

InKyu Shin

Sanghyun Woo

Chaoning Zhang

...

2023/8/23

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

...

2022/9/16

Mm-tta: Multi-modal test-time adaptation for 3d semantic segmentation

Inkyu Shin

Yi-Hsuan Tsai

Bingbing Zhuang

Samuel Schulter

Buyu Liu

...

2022

UDA-COPE: Unsupervised domain adaptation for category-level object pose estimation

Taeyeop Lee

Byeong-Uk Lee

Inkyu Shin

Jaesung Choe

Ukcheol Shin

...

2022

Unsupervised domain adaptation for video semantic segmentation

arXiv preprint arXiv:2107.11052

Inkyu Shin

Kwanyong Park

Sanghyun Woo

In So Kweon

2021/7/23

Labor: Labeling only if required for domain adaptive semantic segmentation

Inkyu Shin

Dong-Jin Kim

Jae Won Cho

Sanghyun Woo

Kwanyong Park

...

2021

Learning representations by contrasting clusters while bootstrapping instances

Junsoo Lee

Hojoon Lee

Inkyu Shin

Jaekyoung Bae

In So Kweon

...

2020/10/2

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

I Shin

S Woo

Pan F

InSo Kweon

2020/9

Unsupervised intra-domain adaptation for semantic segmentation through self-supervision. 2020 IEEE

Fei Pan

Inkyu Shin

Francois Rameau

Seokju Lee

In So Kweon

2020

Discover, hallucinate, and adapt: Open compound domain adaptation for semantic segmentation

Advances in Neural Information Processing Systems

Kwanyong Park

Sanghyun Woo

Inkyu Shin

In So Kweon

2020

See List of Professors in Inkyu Shin University(KAIST)

Co-Authors

H-index: 83
In So Kweon

In So Kweon

KAIST

H-index: 42
Jaegul Choo

Jaegul Choo

KAIST

H-index: 22
Sanghyun Woo

Sanghyun Woo

KAIST

H-index: 16
François Rameau

François Rameau

KAIST

H-index: 14
Seokju Lee

Seokju Lee

KAIST

H-index: 4
Wonwoong Cho

Wonwoong Cho

Purdue University

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