Trip-to-Gaussian: A Versatile Framework for Unconditional 3D Generation
Youngwoo Jeon, Inhyeok Choi, Jaehyeok Shim, Sangjune Park and Kyungdon Joo
Transactions on Machine Learning Research (TMLR), 2026
[ project page | paper | github | article ]

From Corners to Fiducial Tags: Revisiting Checkerboard Calibration for Event Cameras
Taehun Ryu, Changwoo Kang and Kyungdon Joo
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2026
[ project page | paper | github | article ]

LightSplat: Fast and Memory-Efficient Open-Vocabulary 3D Scene Understanding in Five Seconds
Jaehun Bang, Jinhyeok Kim, Minji Kim, Seungheon Jung and Kyungdon Joo
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2026
[ project page | paper | github | article ]

WildAni4D: Towards 4D Animal Mesh Reconstruction
Gyeongsu Cho, Hezhen Hu, Donghyeon Soon, Changwoo Kang and Kyungdon Joo
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Findings, 2026
[ project page | paper | github | article ]

Prior-Constrained Explorative Guidance for Generalization in Diffusion Motion Planning
Sunhwi Kim, Junsu Kim, Seungjae Baek, Jaechan Shin, Jungeun Lee, Seongjae Lee, Kyungdon Joo† and Jeong hwan Jeon†
International Conference on Robotics and Automation (ICRA), 2026
[ project page | paper | github | article ]

Not Like Transformers: Drop the Beat Representation for Dance Generation with Mamba-Based Diffusion Model
Sangjune Park, Inhyeok Choi, Donghyeon Soon, Youngwoo Jeon and Kyungdon Joo
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2026
[ project page | paper | github | article ]

AnyBald: Toward Realistic Diffusion-Based Hair Removal In-The-Wild
Yongjun Choi*, Seungoh Han*, Soomin Kim, Sumin Son, Mohsen Rohani, Edgar Maucourant, Dongbo Min, Kyungdon Joo
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2026
[ project page | paper | github | article ]

LighthouseGS: Indoor Structure-aware 3D Gaussian Splatting for Panorama-Style Mobile Captures
Seungoh Han*, Jaehoon Jang*, Hyunsu Kim, Jaeheung Surh, Junhyung Kwak, Hyowon Ha, Kyungdon Joo
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2026
[ project page | paper | github | article ]

Pose-Diverse Multi-View Virtual Try-on from a Single Frontal Image via Diffusion Transformer
Seonghee Han, Minchang Chung, Gyeongsu Cho, Kyungdon Joo, Taehwan Kim
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2026
[ project page | paper | github | article ]

Beyond the Highlights: Video Retrieval with Salient and Surrounding Contexts
Jaehun Bang, Moon Ye-Bin, Tae-Hyun Oh, Kyungdon Joo
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2026
[ project page | paper | github | article ]

DogRecon: Canine Prior-Guided Animatable 3D Gaussian Dog Reconstruction from a Single Image
Gyeongsu Cho, Changwoo Kang, Donghyeon Soon and Kyungdon Joo
International Journal of Computer Vision (IJCV), 2025
[ project page | paper | github | article ]

San Francisco World: Leveraging Structural Regularities of Slope for 3-DOF Visual Compass
Jungil Ham, Minji Kim, Suyoung Kang, Kyungdon Joo, Haoang Li and Pyojin Kim
IEEE Robotics and Automation Letters (RA-L), 2025 (with ICRA 2025 Presentation) 

DeformSplat: Rigidity-Aware 3D Gaussian Deformation from a Single Image
Jinhyeok Kim, Jaehun Bang, Seunghyun Seo and Kyungdon Joo
ACM SIGGRAPH Conference and Exhibition on Computer Graphics and Interactive Techniques in Asia (SIGGRAPH Asia), 2025
[ project page | paper | github | article ]

HUSH: Holistic Panoramic 3D Scene Understanding using Spherical Harmonics
Jongsung Lee, Harin Park,  Byeong-Uk Lee and Kyungdon Joo
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025
[ project page | paper | github | article ]

VPOcc: Exploiting Vanishing Point for 3D Semantic Occupancy Prediction
Junsu Kim, Junhee Lee, Ukcheol Shin, Jean Oh and Kyungdon Joo
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2025
[ project page | paper | github | article ]

A Benchmark Dataset for Collaborative SLAM in Service Environments
Harin Park, Inha Lee, Minje Kim, Hyungyu Park, and Kyungdon Joo 
IEEE Robotics and Automation Letters (RA-L), 2024 (with ICRA 2025 Presentation)
[ project page | paper | github ]

AiSDF: Structure-aware Neural Signed Distance Fields in Indoor Scenes
Jaehoon Jang*, Inha Lee*, Minje Kim, and Kyungdon Joo 
IEEE Robotics and Automation Letters (RA-L), 2024 (with ICRA 2025 Presentation)
*Equal contribution (alphabet order)
[ project page | paper | github ]

The Devil is in the Details: Simple Remedies for Image-to-LiDAR Representation Learning
Wonjun jo, Byungki Kwon, Jiyeon Kim, Hawook Jeong, Kyungdon Joo and Taehyun Oh
Asian Conference on Computer Vision (ACCV), 2024

DITTO: Dual and Integrated Latent Topologies for Implicit 3D Reconstruction
Jaehyeok Shim and Kyungdon Joo
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024
[ project page | paper | github ]

Fracture Assembly with Segmentation and Iterative Registration
Jinhyeok Kim, Inha Lee and Kyungdon Joo
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024
[ project page | paper | github ]

ContactGen: Contact-Guided Interactive 3D Human Generation for Partners
Dongjun Gu, Jaehyeok Shim, Jaehoon Jang, Changwoo Kang and Kyungdon Joo
AAAI Conference on Artificial Intelligence (AAAI), 2024
[ project page | paper | github ]

Learning-Based Reflection-Aware Virtual Point Removal for Large-Scale 3D Point Clouds
Oggyu Lee, Kyungdon Joo and Jae-Young Sim 
IEEE Robotics and Automation Letters (RA-L), 2023

Hong Kong World: Leveraging Structural Regularity for Line-based SLAM
Haoang Li, Ji Zhao, Jean-Charles Bazin, Pyojin Kim, Kyungdon Joo, Zhenjun Zhao and Yun-Hui Liu 
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 (accepted)

SlaBins: Fisheye Depth Estimation using Slanted Bins on Road Environments
Jongsung Lee, Gyeongsu Cho*, Jeongin Park*, Kyongjun Kim*, Seongoh Lee*, Jung Hee Kim, Seong-Gyun Jeong and Kyungdon Joo
IEEE International Conference on Computer Vision (ICCV), 2023
*Equal contribution (alphabet order)
[ project page | paper | github ]

Diffusion-based Signed Distance Fields for 3D Shape Generation
Jaehyeok Shim, Changwoo Kang and Kyungdon Joo
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023
[ project page | paper | github ]

Pose-guided 3D Human Generation in Indoor Scene
Minseok Kim, Changwoo Kang, Jeongin Park and Kyungdon Joo
AAAI Conference on Artificial Intelligence (AAAI), 2023
[ project page | paper | github ]

Adaptive Cost Volume Fusion Network for Multi-Modal Depth Estimation in Changing Environments
Jinsun Park∗, Yongseop Jeong∗, Kyungdon Joo, Donghyeon Cho and In So Kweon 
IEEE Robotics and Automation Letters (RA-L) (with ICRA presentation), 2022

Quasi-globally Optimal and Real-time Visual Compass in Manhattan Structured Environments
Pyojin Kim, Haoang Li and Kyungdon Joo
IEEE Robotics and Automation Letters (RA-L) (with ICRA presentation), 2022

Linear RGB-D SLAM for Structured Environments
Kyungdon Joo, Pyojin Kim, Martial Hebert, In So Kweon and Hyoun Jin Kim
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 44, no. 11, pp. 8403-8419, 2022

Robust and Efficient Estimation of Relative Pose for Cameras on Selfie Sticks
Kyungdon Joo, Hongdong Li, Tae-Hyun Oh and In So Kweon
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 44, no. 9, pp. 5460-5471, 2022

Real-Time Multi-Car Localization and See-Through System
Francois Rameau, Oleksandr Bailo, Jinsun Park, Kyungdon Joo and In So Kweon
International Journal of Computer Vision (IJCV), vol. 130, pp. 384-404, 2022

Volumetric Propagation Network: Stereo-LiDAR Fusion for High-Quality Depth Estimation
Jaesung Choe, Kyungdon Joo, Tooba Imtiaz and In So Kweon
IEEE Robotics and Automation Letters (RA-L) (with ICRA presentation), 2021

Unified 3D Mesh Recovery of Humans and Animals by Learning Animal Exercise
Youwang Kim, Ji-Yeon Kim, Kyungdon Joo and Tae-Hyun Oh
British Machine Vision Conference (BMVC), 2021

Learning Icosahedral Spherical Probability Map Based on Bingham Mixture Model for Vanishing Point Estimation
Haoang Li*, Kai Chen*, Pyonjin Kim, Kuk-Jin Yoon, Zhe Liu, Kyungdon Joo† and Yun-Hui Liu†
IEEE International Conference on Computer Vision (ICCV), 2021

Stereo Object Matching Network
Jaesung Choe*, Kyungdon Joo*, Francois Rameau and In So Kweon
IEEE International Conference on Robotics and Automation (ICRA), 2021

Globally Optimal Inlier Set Maximization for Atlanta World Understanding
Kyungdon Joo, Tae-Hyun Oh, In So Kweon and Jean-Charles Bazin
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 42, no. 10, pp. 2656-2669, 2020

SideGuide: A Large-scale Sidewalk Dataset for Guiding Impaired People
Kyungdon Joo*, Kibaek Park*, Youngtaek Oh*, Soomin Ham*, Hyokyoung Kim, Hyoyoung Kum and In So Kweon
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020

Non-Local Spatial Propagation Network for Depth Completion
Jinsun Park, Kyungdon Joo, Zhe Hu, Chi-Kuei Liu and In So Kweon
European Conference on Computer Vision (ECCV), 2020

Globally Optimal and Efficient Vanishing Point Estimation in Atlanta World
Haoang Li, Pyojin Kim, Ji Zhao, Kyungdon Joo, Zhipeng Cai, Zhe Liu and Yun-Hui Liu
European Conference on Computer Vision (ECCV), 2020

Globally Optimal Relative Pose Estimation for Camera on a Selfie Stick
Kyungdon Joo, Hongdong Li, Tae-Hyun Oh, Yunsu Bok and In So Kweon
IEEE International Conference on Robotics and Automation (ICRA), 2020

Linear RGB-D SLAM for Atlanta World
Kyungdon Joo, Tae-Hyun Oh, Francois Rameau, Jean-Charles Bazin and In So Kweon
IEEE International Conference on Robotics and Automation (ICRA), 2020

Accurate 3D Reconstruction from Small Motion Clip for Rolling Shutter Cameras
Sunghoon Im, Hyowon Ha, Gyeongmin Choe, Hae-Gon Jeon, Kyungdon Joo and In So Kweon
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 41, no. 4, pp. 775-787, 2019

Robust and Globally Optimal Manhattan Frame Estimation in Near Real Time
Kyungdon Joo, Tae-Hyun Oh, Junsik Kim and In So Kweon
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 41, no. 3, pp. 682-696, 2019

Vehicular Multi-Camera Sensor System for Automated Visual Inspection of Electric Power Distribution Equipment
Jinsun Park, Ukcheol Shin, Gyumin Shim, Kyungdon Joo, François Rameau, Junhyeok Kim, Dong-Geol Choi and In So Kweon
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019

Segment2Regress: Monocular 3D Vehicle Localization in Two-stage
Jaesung Choe, Kyungdon Joo, François Rameau, Gyumin Shim and In So Kweon
Robotics: Science and Systems (RSS), 2019

Efficient Adaptive Non-maximal Suppression Algorithms for Homogeneous Spatial Keypoint Distribution
Oleksandr Bailo, François Rameau, Kyungdon Joo, Jinsun Park, Oleksandr Bogdan and In So Kweon
Pattern Recognition Letters (PRL), vol. 106, pp. 53-60, 2018

Robust System of DRC-HUBO+ and Control Strategy of Team KAIST in DARPA Robotics Challenges Finals
Jeongsoo Lim, Inho Lee, Inwook Shim, Hyobin Jung, Hyun Min Joe, Hyoin Bae, Okkee Sim, Jaesung Oh, Taejin Jung, Seunghak Shin, Kyungdon Joo, Mingeuk Kim, Kangkyu Lee, Yunsu Bok, Dong‐Geol Choi, Buyoun Cho, Sungwoo Kim, Jungwoo Heo, Inhyeok Kim, Jungho Lee, In So Kwon and Jun‐Ho Oh
Journal of Field Robotics (JFR), vol. 34, no. 4, pp. 623-829, 2017

A Real-Time Augmented Reality System to See-Through Cars
François Rameau, Hyowon Ha, Kyungdon Joo, Jinsoo Choi, Kibaek Park and In So Kweon
IEEE Transactions on Visualization and Computer Graphics (TVCG), vol. 22, no. 11, pp. 2395-2404, 2016

Globally Optimal Inlier Set Maximization for Atlanta Frame Estimation
Kyungdon Joo, Tae-Hyun Oh, In So Kweon and Jean-Charles Bazin
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018

Personalized Cinemagraphs using Semantic Understanding and Collaborative Learning
Kyungdon Joo*, Tae-Hyun Oh*, Neel Joshi, Baoyuan Wang, In So Kweon and Sing Bing Kang
IEEE International Conference on Computer Vision (ICCV), 2017

A Real-time Vehicular Vision System to Seamlessly See-through Cars
François Rameau, Hyowon Ha, Kyungdon Joo, Jinsoo Choi and In So Kweon
European Conference on Computer Vision (ECCV) Workshop – Assistive Computer Vision and Robotics, 2016

Globally Optimal Manhattan Frame Estimation in Real-time
Kyungdon Joo*, Tae-Hyun Oh*, Junsik Kim and In So Kweon
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016

Vision System and Depth Processing for DRC-HUBO+
Inwook Shim, Seunghak Shin, Yunsu Bok, Kyungdon Joo, Dong-Geol Choi, Joon-Young Lee, Jaesik Park, Jun-Ho Oh and In So Kweon
IEEE International Conference on Robotics and Automation (ICRA), 2016

Control Strategies for a Humanoid Robot to Drive and then Egress a Utility Vehicle for Remote Approach
Hyobin jeong, Jaesung Oh, Mingeuk Kim, Kyungdon Joo, In So Kweon and Jun-Ho Oh
IEEE-RAS International Conference on Humanoid Robots (HUMANOIDS), 2015

Accurate Camera Calibration Robust to Defocus using a Smartphone
Hyowon Ha, Yunsu Bok, Kyungdon Joo, Jiyoung Jung and In So Kweon
IEEE International Conference on Computer Vision (ICCV), 2015

High Quality Structure from Small Motion for Rolling Shutter Cameras
Sunghoon Im, Hyowon Ha, Gyeongmin Choe, Hae-Gon Jeon, Kyungdon Joo and In So Kweon
IEEE International Conference on Computer Vision (ICCV), 2015

Line Meets As-Projective-As-Possible Image Stitching with Moving DLT
Kyungdon Joo, Namil Kim, Tae-Hyun Oh and In So Kweon
IEEE International Conference on Image Processing (ICIP), 2015

Hierarchical 3D Line Restoration based on Angular Proximity in Structured Environments
Kyungdon Joo, Tae-Hyun Oh, Hyeongwoo Kim and In So Kweon
IEEE International Conference on Image Processing (ICIP), 2013