Kim, Kwang In

About Kim, Kwang In

Kim, Kwang In, With an exceptional h-index of 34 and a recent h-index of 26 (since 2020), a distinguished researcher at Ulsan National Institute of Science and Technology, specializes in the field of Machine Learning, Computer Vision, Computer Graphics.

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

Robust Distributed Gradient Aggregation Using Projections onto Gradient Manifolds

RGBT-Dog: A Parametric Model and Pose Prior for Canine Body Analysis Data Creation

Active learning guided by efficient surrogate learners

BoIR: box-supervised instance representation for multi-person pose estimation

SContact: graph-based network for 3D hand-object contact estimation with semi-supervised learning

Collaborative learning for hand and object reconstruction with attention-guided graph convolution

Active label correction using robust parameter update and entropy propagation

Robust combination of distributed gradients under adversarial perturbations

Kim, Kwang In Information

University

Position

Graduate School of Artificial Intelligence & Dept. Computer Science and Engineering

Citations(all)

8516

Citations(since 2020)

3081

Cited By

6878

hIndex(all)

34

hIndex(since 2020)

26

i10Index(all)

57

i10Index(since 2020)

43

Email

University Profile Page

Ulsan National Institute of Science and Technology

Google Scholar

View Google Scholar Profile

Kim, Kwang In Skills & Research Interests

Machine Learning

Computer Vision

Computer Graphics

Top articles of Kim, Kwang In

Title

Journal

Author(s)

Publication Date

Robust Distributed Gradient Aggregation Using Projections onto Gradient Manifolds

Proceedings of the AAAI Conference on Artificial Intelligence

Kwang In Kim

2024/3/24

RGBT-Dog: A Parametric Model and Pose Prior for Canine Body Analysis Data Creation

Jake Deane

Sinéad Kearney

Kwang In Kim

Darren Cosker

2024

Active learning guided by efficient surrogate learners

Yunpyo An

Suyeong Park

Kwang In Kim

2023/1/7

BoIR: box-supervised instance representation for multi-person pose estimation

arXiv preprint arXiv:2309.14072

Uyoung Jeong

Seungryul Baek

Hyung Jin Chang

Kwang In Kim

2023/9/25

SContact: graph-based network for 3D hand-object contact estimation with semi-supervised learning

arXiv e-prints

Tze Ho Elden Tse

Zhongqun Zhang

Kwang In Kim

Ales Leonardis

Feng Zheng

...

2022/8

Collaborative learning for hand and object reconstruction with attention-guided graph convolution

arXiv e-prints

Tze Ho Elden Tse

Kwang In Kim

Ales Leonardis

Hyung Jin Chang

2022/4

Active label correction using robust parameter update and entropy propagation

Kwang In Kim

2022

Robust combination of distributed gradients under adversarial perturbations

Kwang In Kim

2022

Task-aware variational adversarial active learning

Kwanyoung Kim

Dongwon Park

Kwang In Kim

Se Young Chun

2021

DynaDog+T: a parametric animal model for synthetic canine image generation

arXiv preprint arXiv:2107.07330

Jake Deane

Sinead Kearney

Kwang In Kim

Darren Cosker

2021/7/15

Improving predictors via combination across diverse task categories

Kwang In Kim

2021/7/1

End-to-end detection and pose estimation of two interacting hands

Dong Uk Kim

Kwang In Kim

Seungryul Baek

2021

Testing using privileged information by adapting features with statistical dependence

Kwang In Kim

James Tompkin

2021

GaussiGAN: controllable image synthesis with 3D Gaussians from unposed silhouettes

Youssef A Mejjati

Isa Milefchik

Aaron Gokaslan

Oliver Wang

Kwang In Kim

...

2021/6/24

Generating object stamps

arXiv preprint arXiv:2001.02595

Youssef Alami Mejjati

Zejiang Shen

Michael Snower

Aaron Gokaslan

Oliver Wang

...

2020/1/1

Combining task predictors via enhancing joint predictability

Kwang In Kim

Christian Richardt

Hyung Jin Chang

2020/8/23

Look here! A parametric learning based approach to redirect visual attention

ECCV 2020

Youssef Alami Mejjati

Celso F Gomez

Kwang In Kim

Eli Shechtman

Zoya Bylinskii

2020/8/12

Weakly-supervised domain adaptation via GAN and mesh model for estimating 3D hand poses interacting objects

Seungryul Baek

Kwang In Kim

Tae-Kyun Kim

2020

RGBD-dog: predicting canine pose from RGBD sensors

Sinead Kearney

Wenbin Li

Martin Parsons

Kwang In Kim

Darren Cosker

2020

See List of Professors in Kim, Kwang In University(Ulsan National Institute of Science and Technology)

Co-Authors

H-index: 91
Hanspeter Pfister

Hanspeter Pfister

Harvard University

H-index: 59
Tae-Kyun (T-K) Kim

Tae-Kyun (T-K) Kim

Imperial College London

H-index: 58
Matthias Hein

Matthias Hein

Eberhard Karls Universität Tübingen

H-index: 29
James Tompkin

James Tompkin

Brown University

H-index: 28
Christian Richardt

Christian Richardt

University of Bath

H-index: 21
Florian Steinke

Florian Steinke

Technische Universität Darmstadt

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