Publication

International Journals & Conferences

2024

ULTRON: Unifying Local Transformer and Convolution for Large-Scale Image Retrieval
Minseong Kweon and Jinsun Park
Asian Conference on Computer Vision (ACCV), Dec 2024
[Paper]

Exploiting Cross-Modal Cost Volume for Multi-Sensor Depth Estimation
Janghyun Kim, Ukcheol Shin, Seokyong Heo, and Jinsun Park
Asian Conference on Computer Vision (ACCV), Dec 2024
[Paper]

ADNet: Non-Local Affinity Distillation Network for Lightweight Depth Completion with Guidance from Missing LiDAR Points
Janghyun Kim, Jeonghyun Noh, Mingyu Jeong, Wonju Lee, Yeonchool Park, and Jinsun Park
IEEE Robotics and Automation Letters (RAL), Jul 2024
[Paper]

Interdimensional Knowledge Transfer for Semantic Segmentation on LiDAR Point Clouds
Seongheon Ha, Yeogyeong Kim, and Jinsun Park
IEEE Robotics and Automation Letters (RAL), Jul 2024
[Paper]

CrossFormer: Cross-Guided Attention for Multi-Modal Object Detection
Seungik Lee, Jaehyeong Park, and Jinsun Park
Pattern Recognition Letters (PRL), Mar 2024
[Paper]

CMDA: Cross-Modal and Domain Adversarial Adaptation for LiDAR-Based 3D Object Detection
Gyusam Chang, Wonseok Roh, Sujin Jang, Dongwook Lee, Daehyun Ji, Gyeongrok Oh, Jinsun Park, Jinkyu Kim, and Sangpil Kim
AAAI Conference on Artificial Intelligence (AAAI), Feb 2024
[Paper]

2023

Deep Depth Estimation from Thermal Image
Ukcheol Shin, Jinsun Park, and In So Kweon
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2023
[Paper] [Project Page (Code)]

2022

Lightweight Alpha Matting Network Using Distillation-Based Channel Pruning
Donggeun Yoon, Jinsun Park, and Donghyeon Cho
Asian Conference on Computer Vision (ACCV), Dec 2022
[Paper] [Project Page (Code)]

A Comprehensive Real-World Photometric Stereo Dataset for Unsupervised Anomaly Detection
Junyong Jung, Seungoh Han, Jinsun Park, and Donghyeon Cho
IEEE Access, Oct 2022
[Paper] [Project Page (Code)]

Lightweight Depth Completion Network with Local Similarity-Preserving Knowledge Distillation
Yongseop Jeong*, Jinsun Park*, Donghyeon Cho, Yoonjin Hwang, Seibum B. Choi, and In So Kweon [* Equal Contribution]
Sensors, Sep 2022
[Paper]

Minifying Photometric Stereo via Knowledge Distillation-Based Feature Translation
Seungoh Han, Jinsun Park, and Donghyeon Cho
Optics Express, Sep 2022
[Paper]

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 [* Equal Contribution]
IEEE Robotics and Automation Letters (RAL), Feb 2022
IEEE International Conference on Robotics and Automation (ICRA), May 2022
[Paper] [Project Page (Code)]

Online Learning for Reference-Based Super-Resolution
Byungjoo Chae*, Jinsun Park*, Tae-Hyun Kim, and Donghyeon Cho [* Equal Contribution]
Electronics, Mar 2022
[Paper]

MC-Calib: A Generic and Robust Calibration Toolbox for Multi-Camera Systems
Francois Rameau, Jinsun Park, Oleksandr Bailo, and In So Kweon
Computer Vision and Image Understanding (CVIU), Mar 2022
[Paper] [Project Page (Code)]

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), Feb 2022
[Paper]

2021

Learning Lightweight Low-Light Enhancement Network using Pseudo Well-Exposed Images
Seonggwan Ko*, Jinsun Park*, Byungjoo Chae, and Donghyeon Cho [* Equal Contribution]
IEEE Signal Processing Letters (SPL), Dec 2021
[Paper] [Project Page (Code)]

MS-UDA: Multi-Spectral Unsupervised Domain Adaptation for Thermal Image Semantic Segmentation
Yeong-Hyeon Kim, Ukcheol Shin, Jinsun Park, and In So Kweon
IEEE Robotics and Automation Letters (RAL), Oct 2021
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Sep 2021
[Paper] [Project Page (Code and Dataset)]

Deep Multi-Image Steganography with Private Keys
Hyeokjoon Kweon*, Jinsun Park*, Sanghyun Woo, and Donghyeon Cho [* Equal Contribution]
Electronics, Aug 2021
[Paper]

2020

Lightweight Deep CNN for Natural Image Matting via Similarity-Preserving Knowledge Distillation
Donggeun Yoon*, Jinsun Park*, and Donghyeon Cho [* Equal Contribution]
IEEE Signal Processing Letters (SPL), Nov 2020
[Paper] [Project Page (Code)]

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), Aug 2020
[Winner, Qualcomm Innovation Fellowship Korea (QIFK) 2020]
[Paper] [Project Page (Code)]

Robust Reference-based Super-Resolution with Similarity-Aware Deformable Convolution
Gyumin Shim, Jinsun Park, and In So Kweon
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2020
[Paper] [Project Page]

Propose-and-Attend Single Shot Detector
Ho-Deok Jang, Sanghyun Woo, Philipp Benz, Jinsun Park, and In So Kweon
IEEE Winter Conference on Applications of Computer Vision (WACV), Mar 2020
[Paper]

2019

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

Camera Exposure Control for Robust Robot Vision with Noise-Aware Image Quality Assessment
Ukcheol Shin, Jinsun Park, Gyumin Shim, Francois Rameau, and In So Kweon
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Nov 2019
[Paper] [Project Page (Code & Dataset)]

Depth from a Light Field Image with Learning-based Matching Costs
Hae-Gon Jeon, Jaesik Park, Gyeongmin Choe, Jinsun Park, Yunsu Bok, Yu-Wing Tai, and In So Kweon
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Feb 2019
[Paper]

2018

Efficient Adaptive Non-Maximal Suppression Algorithms for Homogeneous Spatial Keypoint Distribution
Oleksandr Bailo, Francois Rameau, Kyungdon Joo, Jinsun Park, Oleksandr Bogdan, and In So Kweon
Pattern Recognition Letters (PRL), Apr 2018
[Paper] [Project Page (Code)]

2017

Weakly- and Self-Supervised Learning for Content-Aware Deep Image Retargeting
Donghyeon Cho, Jinsun Park, Tae-Hyun Oh, Yu-Wing Tai, and In So Kweon
IEEE International Conference on Computer Vision (ICCV), Oct 2017 [Spotlight Presentation]
[Paper]

A Unified Approach of Multi-scale Deep and Hand-crafted Features for Defocus Estimation
Jinsun Park, Yu-Wing Tai, Donghyeon Cho, and In So Kweon
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Jul 2017
[Paper] [Project Page (Code)]

2016

Asymmetric stereo with catadioptric lens: High quality image generation for intelligent robot
Donghyeon Cho, Jinsun Park, Yu-Wing Tai, and In So Kweon
International Conference on Ubiquitous Robots and Ambient Intelligence (URAI), Aug 2016
[Paper]

2015

Accurate Depth Map Estimation from a Lenslet Light Field Camera
Hae-Gon Jeon, Jaesik Park, Gyeongmin Choe, Jinsun Park, Yunsu Bok, Yu-Wing Tai, and In So Kweon
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2015
[Paper] [Project Page (Code)]

Other International Publications

2018

Real-time Demonstration of Collaborative Localization of a Swarm of Connected Vehicles
Francois Rameau, Oleksandr Bailo, Jinsun Park, Kyungdon Joo, Jaesung Choe, and In So Kweon
International Workshop on Frontiers of Computer Vision (FCV), Feb 2018 [Best Demo Presentation Award]
[Paper] [Certificate]

2017

A Taxonomy and Evaluation of Dense Light Field Depth Estimation Algorithms
Ole Johannsen, Katrin Honauer, Bastian Goldluecke, Anna Alperovich, Federica Battisti, Yunsu Bok, Michele Brizzi, Marco Carli, Gyeongmin Choe, Maximilian Diebold, Marcel Gutsche, Hae-Gon Jeon, In So Kweon, Jaesik Park, Jinsun Park, Hendrik Schilling, Hao Sheng, Lipeng Si, Michael Strecke, Antonin Sulc, Yu-Wing Tai, Qing Wang, Ting-Chun Wang, Sven Wanner, Zhang Xiong, Jingyi Yu, Shuo Zhang, and Hao Zhu
IEEE Conference on Computer Vision and Pattern Recognition Workshop - Light Fields for Computer Vision (CVPRW - LF4CV), Jul 2017
[Paper]

Single Image Depth Estimation using Convolutional Neural Networks with NCC-based Loss
Jinsun Park, and In So Kweon
International Workshop on Frontiers of Computer Vision (FCV), Feb 2017
[Paper]

Domestic Publications

2024

2023

2021