Kuk-Jin Yoon

Kuk-Jin Yoon

KAIST

H-index: 35

Asia-South Korea

About Kuk-Jin Yoon

Kuk-Jin Yoon, With an exceptional h-index of 35 and a recent h-index of 27 (since 2020), a distinguished researcher at KAIST, specializes in the field of Computer Vision, Stereo, Object Tracking, Event Camera.

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

T4P: Test-Time Training of Trajectory Prediction via Masked Autoencoder and Actor-specific Token Memory

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

Multi-agent Long-term 3D Human Pose Forecasting via Interaction-aware Trajectory Conditioning

Stable Surface Regularization for Fast Few-Shot NeRF

Improving transferability for cross-domain trajectory prediction via neural stochastic differential equation

FACL-Attack: Frequency-Aware Contrastive Learning for Transferable Adversarial Attacks

Event-based video frame interpolation with cross-modal asymmetric bidirectional motion fields

Pixel-wise warping for deep image stitching

Kuk-Jin Yoon Information

University

Position

Associate Professor Visual Intelligence Lab. Department of Mechanical Engineering

Citations(all)

7192

Citations(since 2020)

3750

Cited By

4582

hIndex(all)

35

hIndex(since 2020)

27

i10Index(all)

89

i10Index(since 2020)

60

Email

University Profile Page

KAIST

Google Scholar

View Google Scholar Profile

Kuk-Jin Yoon Skills & Research Interests

Computer Vision

Stereo

Object Tracking

Event Camera

Top articles of Kuk-Jin Yoon

Title

Journal

Author(s)

Publication Date

T4P: Test-Time Training of Trajectory Prediction via Masked Autoencoder and Actor-specific Token Memory

arXiv preprint arXiv:2403.10052

Daehee Park

Jaeseok Jeong

Sung-Hoon Yoon

Jaewoo Jeong

Kuk-Jin Yoon

2024/3/15

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

Multi-agent Long-term 3D Human Pose Forecasting via Interaction-aware Trajectory Conditioning

arXiv preprint arXiv:2404.05218

Jaewoo Jeong

Daehee Park

Kuk-Jin Yoon

2024/4/8

Stable Surface Regularization for Fast Few-Shot NeRF

arXiv preprint arXiv:2403.19985

Byeongin Joung

Byeong-Uk Lee

Jaesung Choe

Ukcheol Shin

Minjun Kang

...

2024/3/29

Improving transferability for cross-domain trajectory prediction via neural stochastic differential equation

Proceedings of the AAAI Conference on Artificial Intelligence

Daehee Park

Jaewoo Jeong

Kuk-Jin Yoon

2024/3/24

FACL-Attack: Frequency-Aware Contrastive Learning for Transferable Adversarial Attacks

Proceedings of the AAAI Conference on Artificial Intelligence

Hunmin Yang

Jongoh Jeong

Kuk-Jin Yoon

2024/3/24

Event-based video frame interpolation with cross-modal asymmetric bidirectional motion fields

Taewoo Kim

Yujeong Chae

Hyun-Kurl Jang

Kuk-Jin Yoon

2023

Pixel-wise warping for deep image stitching

Proceedings of the AAAI Conference on Artificial Intelligence

Hyeokjun Kweon

Hyeonseong Kim

Yoonsu Kang

Youngho Yoon

Wooseong Jeong

...

2023/6/26

Weakly supervised semantic segmentation via adversarial learning of classifier and reconstructor

Hyeokjun Kweon

Sung-Hoon Yoon

Kuk-Jin Yoon

2023

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

Taeyeop Lee

Jonathan Tremblay

Valts Blukis

Bowen Wen

Byeong-Uk Lee

...

2023

Leveraging Future Relationship Reasoning for Vehicle Trajectory Prediction

2023 ICLR (International Conference on Learning Representations), arXiv preprint arXiv:2305.14715

Daehee Park

Hobin Ryu

Yunseo Yang

Jegyeong Cho

Jiwon Kim

...

2023/5/24

Single domain generalization for lidar semantic segmentation

Hyeonseong Kim

Yoonsu Kang

Changgyoon Oh

Kuk-Jin Yoon

2023

Efficient reference-based video super-resolution (ervsr): Single reference image is all you need

Youngrae Kim

Jinsu Lim

Hoonhee Cho

Minji Lee

Dongman Lee

...

2023

Deep-learning-based gas identification by time-variant illumination of a single micro-LED-embedded gas sensor

Light: Science & Applications

Incheol Cho

Kichul Lee

Young Chul Sim

Jae-Seok Jeong

Minkyu Cho

...

2023/4/18

Learning Point Cloud Completion without Complete Point Clouds: A Pose-Aware Approach

Jihun Kim

Hyeokjun Kwon

Yunseo Yang

Kuk-Jin Yoon

2023/10/1

Cross-Guided Optimization of Radiance Fields with Multi-View Image Super-Resolution for High-Resolution Novel View Synthesis

Youngho Yoon

Kuk-Jin Yoon

2023

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

Inkyu Shin

Kuk-Jin Yoon

Jaesung Choe

In-So Kweon

Lin Wei

...

2023

EasyFuse: Easy-to-learn visible and infrared image fusion framework based on unpaired set

Pattern Recognition Letters

Seongyong Ahn

Inwook Shim

Jihong Min

Kuk-Jin Yoon

2023/10/1

Non-Coaxial Event-guided Motion Deblurring with Spatial Alignment

Hoonhee Cho

Yuhwan Jeong

Taewoo Kim

Kuk-Jin Yoon

2023

Learning adaptive dense event stereo from the image domain

Hoonhee Cho

Jegyeong Cho

Kuk-Jin Yoon

2023

See List of Professors in Kuk-Jin Yoon University(KAIST)

Co-Authors

H-index: 157
Ming-Hsuan Yang

Ming-Hsuan Yang

University of California, Merced

H-index: 83
In So Kweon

In So Kweon

KAIST

H-index: 35
Kyung-Soo Kim

Kyung-Soo Kim

KAIST

H-index: 20
Du Yong Kim

Du Yong Kim

RMIT University

H-index: 17
Addison Lin Wang

Addison Lin Wang

KAIST

H-index: 10
Seung-Hwan Bae

Seung-Hwan Bae

Inha University

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