Kyungdon Joo

About Kyungdon Joo

Kyungdon Joo, With an exceptional h-index of 14 and a recent h-index of 13 (since 2020), a distinguished researcher at Ulsan National Institute of Science and Technology, specializes in the field of Computer vision, Machine learning.

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

ContactGen: Contact-Guided Interactive 3D Human Generation for Partners

Fracture Assembly with Segmentation And Iterative Registration

DITTO: Dual and Integrated Latent Topologies for Implicit 3D Reconstruction

AiSDF: Structure-aware Neural Signed Distance Fields in Indoor Scenes

Diffusion-based signed distance fields for 3d shape generation

Learning-Based Reflection-Aware Virtual Point Removal for Large-Scale 3D Point Clouds

Pose-guided 3D human generation in indoor scene

Fishrecgan: An end to end gan based network for fisheye rectification and calibration

Kyungdon Joo Information

University

Position

Assistant Professor

Citations(all)

1020

Citations(since 2020)

883

Cited By

366

hIndex(all)

14

hIndex(since 2020)

13

i10Index(all)

18

i10Index(since 2020)

17

Email

University Profile Page

Ulsan National Institute of Science and Technology

Google Scholar

View Google Scholar Profile

Kyungdon Joo Skills & Research Interests

Computer vision

Machine learning

Top articles of Kyungdon Joo

Title

Journal

Author(s)

Publication Date

ContactGen: Contact-Guided Interactive 3D Human Generation for Partners

arXiv preprint arXiv:2401.17212

Dongjun Gu

Jaehyeok Shim

Jaehoon Jang

Changwoo Kang

Kyungdon Joo

2024/1/30

Fracture Assembly with Segmentation And Iterative Registration

Jinhyeok Kim

Inha Lee

Kyungdon Joo

2024/4/14

DITTO: Dual and Integrated Latent Topologies for Implicit 3D Reconstruction

arXiv preprint arXiv:2403.05005

Jaehyeok Shim

Kyungdon Joo

2024/3/8

AiSDF: Structure-aware Neural Signed Distance Fields in Indoor Scenes

IEEE Robotics and Automation Letters

Jaehoon Jang

Inha Lee

Minje Kim

Kyungdon Joo

2024/3/8

Diffusion-based signed distance fields for 3d shape generation

Jaehyeok Shim

Changwoo Kang

Kyungdon Joo

2023

Learning-Based Reflection-Aware Virtual Point Removal for Large-Scale 3D Point Clouds

IEEE Robotics and Automation Letters

Oggyu Lee

Kyungdon Joo

Jae-Young Sim

2023/11/1

Pose-guided 3D human generation in indoor scene

Proceedings of the AAAI Conference on Artificial Intelligence

Minseok Kim

Changwoo Kang

Jeongin Park

Kyungdon Joo

2023/6/26

Fishrecgan: An end to end gan based network for fisheye rectification and calibration

arXiv preprint arXiv:2305.05222

Xin Shen

Kyungdon Joo

Jean Oh

2023/5/9

Slabins: Fisheye depth estimation using slanted bins on road environments

Jongsung Lee

Gyeongsu Cho

Jeongin Park

Kyongjun Kim

Seongoh Lee

...

2023

Adaptive cost volume fusion network for multi-modal depth estimation in changing environments

IEEE Robotics and Automation Letters

Jinsun Park

Yongseop Jeong

Kyungdon Joo

Donghyeon Cho

In So Kweon

2022/2/14

Real-time multi-car localization and see-through system

International Journal of Computer Vision

Francois Rameau

Oleksandr Bailo

Jinsun Park

Kyungdon Joo

In So Kweon

2022/2

Quasi-globally optimal and real-time visual compass in manhattan structured environments

IEEE Robotics and Automation Letters

Pyojin Kim

Haoang Li

Kyungdon Joo

2022/1/11

Linear RGB-D SLAM for structured environments

IEEE Transactions on Pattern Analysis and Machine Intelligence

Kyungdon Joo

Pyojin Kim

Martial Hebert

In So Kweon

Hyoun Jin Kim

2021/8/24

Robust and efficient estimation of relative pose for cameras on selfie sticks

IEEE Transactions on Pattern Analysis and Machine Intelligence

Kyungdon Joo

Hongdong Li

Tae-Hyun Oh

In So Kweon

2021/5/31

Stereo object matching network

Jaesung Choe

Kyungdon Joo

Francois Rameau

In So Kweon

2021/5/30

Volumetric propagation network: Stereo-lidar fusion for long-range depth estimation

IEEE Robotics and Automation Letters

Jaesung Choe

Kyungdon Joo

Tooba Imtiaz

In So Kweon

2021/3/24

Learning icosahedral spherical probability map based on bingham mixture model for vanishing point estimation

Haoang Li

Kai Chen

Pyojin Kim

Kuk-Jin Yoon

Zhe Liu

...

2021

Unified 3D mesh recovery of humans and animals by learning animal exercise

Youwang Kim

Ji-Yeon Kim

Kyungdon Joo

Tae-Hyun Oh

2021/11/22

SideGuide: A Large-scale Sidewalk Dataset for Guiding Impaired People

Kyungdon Joo

Kibaek Park

Youngtaek Oh

Soomin Ham

Hyokyoung Kim

...

2020/10/25

Globally optimal relative pose estimation for camera on a selfie stick

Kyungdon Joo

Hongdong Li

Tae-Hyun Oh

Yunsu Bok

In So Kweon

2020/5/31

See List of Professors in Kyungdon Joo University(Ulsan National Institute of Science and Technology)

Co-Authors

H-index: 83
In So Kweon

In So Kweon

KAIST

H-index: 32
Jaesik Park

Jaesik Park

Pohang University of Science and Technology

H-index: 29
Jean-Charles Bazin

Jean-Charles Bazin

KAIST

H-index: 16
François Rameau

François Rameau

KAIST

H-index: 15
Junsik Kim

Junsik Kim

KAIST

H-index: 13
Jinsun Park

Jinsun Park

KAIST

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