News
2024
[2024.04.08] Prof. Kyungdon Joo has received the Outstanding Faculty Award!
Professor Kyungdon Joo has received the Outstanding Faculty Award (학술상) at UNIST!
https://news.unist.ac.kr/kor/20240409/
[2024.03.02] Gift of research funding from Adobe!
Prof. Kyungdon Joo has received the gift of research funding from Adobe!
[2024.03.01] Professor Kyungdon Joo early promoted to Associate Professor!
Professor Kyungdon Joo early promoted to Associate Professor by his outstanding performance
(for 3 years and 4 months of assistant professorship)!
[2024.02.27] One paper accepted at CVPR 2024!
One paper has been accepted to IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
DITTO: Dual and Integrated Latent Topologies for Implicit 3D Reconstruction
Jaehyeok Shim and Kyungdon Joo.
[2024.02.20] One paper accepted at RA-L (IF: 5.2)!
One paper has been accepted to IEEE Robotics and Automation Letters (RA-L), one of the top-tier journals in Robotics!
AiSDF: Structure-aware Neural Signed Distance Fields in Indoor Scenes
Jaehoon Jang*, Inha Lee*, Minje Kim and Kyungdon Joo.
[2024.02.16] Two members (graduate students) joined 3D Vision & Robotics Lab!
Two graduate students at AIGS (Youngwoo Jeon, Yongjun Choi) have joined the 3D Vision & Robotics lab! Congratulations!
[2024.02.01] One research work received the Best Poster Award from IPIU 2024!
Congratulation! Jinhyeok Kim and Inha Lee received the Best Poster Award from IPIU 2024.
논문: 포인트 클라우드 분할과 정합을 활용한 골절 조립
[2024.01.02] Two members started a research internship at 42dot!
Junsu Kim and Junhee Lee (both MS course students) started a research internship at 42dot Inc. during winter vacations! Congratulations!
2023
[2023.12.15] One paper accepted at ICASSP 2024!
One paper has been accepted to IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024!
Fracture Assembly with Segmentation and Iterative Registration
Jinhyeok Kim, Inha Lee, Kyungdon Joo.
[2023.12.12] One paper accepted at AAAI 2024!
One paper has been accepted to AAAI Conference on Artificial Intelligence (AAAI), 2024!
ContactGen: Contact-Guided Interactive 3D Human Generation for Partners
Dongjun Gu, Jaehyeok Shim, Jaehoon Jang, Changwoo Kang, Kyungdon Joo.
[2023.11.03] One paper accepted at RA-L (IF: 5.2)!
One paper has been accepted to IEEE Robotics and Automation Letters (RA-L), one of the top-tier journals in Robotics! This work will be presented at ICRA 2024!
Learning-Based Reflection-Aware Virtual Point Removal for Large-Scale 3D Point Clouds
Oggyu Lee, Kyungdon Joo and Jae-Young Sim.
Note: This work is a collaboration with VIP Lab (UNIST AIGS).
[2023.10.02] Outstanding reviewers at ICCV 2023!
Professor Joo is selected as one of the outstanding reviewers at IEEE International Conference on Computer Vision (ICCV), 2023.
[2023.08.28] Three members (graduate students) joined 3D Vision & Robotics Lab!
Three graduate students at AIGS (Seungoh Han, Jinhyeok Kim, Junhee Lee) have joined the 3D Vision & Robotics lab! Congratulations!
[2023.07.20] One paper accepted at ICCV 2023!
One paper has been accepted to IEEE International Conference on Computer Vision (ICCV), 2023.
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, Kyungdon Joo.
Note: This work is a collaboration with 42dot.
[2021.05.08] One paper accepted at TPAMI (IF: 24.314)!
One paper has been accepted to IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), one of the top-tier journals in EE/CSE/AI!
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†.
[2023.02.28] One paper accepted at CVPR 2023!
One paper has been accepted to IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
Diffusion-based Signed Distance Fields for 3D Shape Generation
Jaehyeok Shim, Changwoo Kang, Kyungdon Joo.
[2023.02.27] Four members (graduate students) joined 3D Vision & Robotics Lab!
Four graduate students at AIGS (Hyungyou Park, Minje Kim, Dongjun Gu, Junsu Kim) have joined the 3D Vision & Robotics lab! Congratulations!
2022
[2022.11.19] One paper accepted at AAAI 2023!
One paper has been accepted to AAAI Conference on Artificial Intelligence (AAAI), 2023.
Pose-guided 3D Human Generation in Indoor Scene
Minseok Kim, Changwoo Kang, Jeongin Park, Kyungdon Joo.
[2022.09.01] One member started a research internship at MPI!
Minseok Kim (MS course) started a research internship at the Perceiving Systems and OSLab of Max Planck Institute for Intelligent Systems! Congratulations!
[2022.08.17] Two members (graduate students) joined RVI Lab!
Five graduate students at AIGS (Harin Park, Sangjune Park) have joined the RVI lab! Congratulations!
[2022.02.28] Five members (graduate students) joined RVI Lab!
Five graduate students at AIGS (Gyeongsu Cho, Jongsung Lee, Jaehoon Jang, Seongoh Lee, Kyeongjun Kim) have joined the RVI lab! Congratulations!
[2022.02.21] Two papers accepted at RA-L 2022 (with ICRA presentation)!
Two papers have been accepted to IEEE Robotics and Automation Letters (RA-L) (with IEEE International Conference on Robotics and Automation (ICRA) presentation), 2022.
1) Quasi-globally Optimal and Real-time Visual Compass in Manhattan Structured Environments by Pyojin Kim, Haoang Li, and Kyungdon Joo.
Note: This work is a collaboration with Sookmyung Women’s University and CUHK.
2) Adaptive Cost Volume Fusion Network for Multi-Modal Depth Estimation in Changing Environments by Jinsun Park, Yongseop Jeong, Kyungdon Joo, Donghyeon Cho, and In So Kweon.
Note: This work is a collaboration with Pusan National University, KAIST, Chungnam National University.
[2022.01.06] One paper accepted at IJCV (IF: 7.410)!
One paper has been accepted to the International Journal of Computer Vision (IJCV), one of the top-tier journals in computer vision!
Real-Time Multi-Car Localization and See-Through System by Francois Rameau, Oleksandr Bailo, Jinsun Park, Kyungdon Joo and In So Kweon.
Note: This work is a collaboration with KAIST and Pusan National University.
2021
[2021.10.16] One paper accepted at BMVC 2021!
One paper has been accepted to the British Machine Vision Conference (BMVC), 2021. BMVC is one of the major international conferences on computer vision and related areas held in the UK.
Unified 3D Mesh Recovery of Humans and Animals by Learning Animal Exercise by Youwang Kim, Ji-Yeon Kim, Kyungdon Joo and Tae-Hyun Oh.
Note: This work is a collaboration with POSTECH.
[2021.08.30] Four members (three graduate students and one intern) joined RVI Lab!
Three graduate students (Changwoo Kang (Master course at AIGS), Inha Lee (Master-Ph.D integrated course at AIGS), and Jaehyeok Shim (Master course at AIGS)) and one intern (Gyeongsu Cho) have joined the RVI lab! Congratulations!
[2021.08.17] One paper accepted at TPAMI (IF: 17.861)!
One paper has been accepted to IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), one of the top-tier journals in EE/CSE/AI!
Linear RGB-D SLAM for Structured Environments by Kyungdon Joo, Pyojin Kim†, Martial Hebert, In So Kweon and Hyoun Jin Kim.
Note: This work is a collaboration with Sookmyung Women’s University, Carnegie Mellon University (CMU), KAIST, and SNU.
[2021.08.06] One paper accepted at ICCV 2021!
One paper has been accepted to IEEE International Conference on Computer Vision (ICCV), 2021.
Learning Icosahedral Spherical Probability Map Based on Bingham Mixture Model for Vanishing Point Estimation by Haoang Li*, Kai Chen*, Pyonjin Kim, Kuk-Jin Yoon, Zhe Liu, Kyungdon Joo† and Yun-Hui Liu†.
Note: This work is a collaboration with CUHK, Sookmyung Women’s University, KAIST, and University of Cambridge.
[2021.05.27] One paper accepted at TPAMI (IF: 17.861)!
One paper has been accepted to IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), one of the top-tier journals in EE/CSE/AI!
Robust and Efficient Estimation of Relative Pose for Cameras on Selfie Sticks by Kyungdon Joo, Hongdong Li, Tae-Hyun Oh, and In So Kweon.
Note: This work is a collaboration with ANU, POSTECH, and KAIST.
[2021.03.05] One paper accepted at ICRA 2021!
One paper has been accepted to IEEE International Conference on Robotics and Automation (ICRA), 2021.
Stereo Object Matching Network by Jaesung Choe*, Kyungdon Joo*, Francois Rameau, and In So Kweon.
Note: This work is a collaboration with KAIST.
[2021.03.02] Two graduate students joined RVI Lab!
Two graduate students (Jeongin Park (Master course at AIGS) and Minseok Kim (Master course at AIGS)) have joined RVI lab!
Congratulations!
[2021.03.01] RVI Lab open!
Robotics and Visual Intelligence (RVI) Lab at UNIST has been officially opened!
Please give us your interest and support.
[2021.02.09] One paper accepted at RA-L (with ICRA presentation)!
One paper has been accepted to IEEE Robotics and Automation Letters (RA-L) (with IEEE International Conference on Robotics and Automation (ICRA) presentation), 2021.
Volumetric Propagation Network: Stereo-LiDAR Fusion for High-Quality Depth Estimation by Jaesung Choe, Kyungdon Joo, Tooba Imtiaz, and In So Kweon.
Note: This work is a collaboration with KAIST.
2020
[2020.11.02] Professor Kyungdon Joo joined UNIST!
Professor Kyungdon Joo has joined the Artificial Intelligence Graduate School (AIGS) and the Department of Computer Science (CS) at UNIST, November 2, 2020.