International

Go To    : 

  [2025]    [2024]    [2023]    [2022]    [2021]    [2020]    [2019]    [2018]    [2017]    [2016]    [~2015]

2025

Unifying Low-Resolution and High-Resolution Alignment by Event Cameras for Space-Time Video Super-Resolution

Hoonhee Cho, Jae-Young Kang, Taewoo Kim, Yuhwan Jeong, and Kuk-Jin Yoon

IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025

[PDF]

2024

A Benchmark Dataset for Event-Guided Human Pose Estimation and Tracking in Extreme Conditions

Hoonhee Cho*, Taewoo Kim*, Yuhwan Jeong, and Kuk-Jin Yoon (*equal contribution)

Conference on Neural Information Processing Systems (NeurIPS), 2024

[PDF]

TALoS: Enhancing Semantic Scene Completion via Test-time Adaptation on the Line of Sight

Hyun-Kurl Jang*, Jihun Kim*, Hyeokjun Kweon*, and Kuk-Jin Yoon (*equal contribution)

Conference on Neural Information Processing Systems (NeurIPS), 2024

[PDF]

Disentangled Cross-modal Fusion for Event-guided Image Super-Resolution

Minjie Liu*, Hongjian Wang*, Kuk-Jin Yoon, and Lin Wang (*equal contribution)

IEEE Transactions on Artificial Intelligence (TAI), 2024

[PDF]

Prompt-Driven Contrastive Learning for Transferable Adversarial Attacks

Hunmin Yang, Jongoh Jeong, and Kuk-Jin Yoon

European Conference on Computer Vision (ECCV) 2024 (oral)

[PDF]

Towards Real-world Event-guided Low-light Video Enhancement and Deblurring

Taewoo Kim, Jaeseok Jeong, Hoonhee Cho, Yuhwan Jeong, and Kuk-Jin Yoon

European Conference on Computer Vision (ECCV) 2024

[PDF]

Phase Concentration and Shortcut Suppression for Weakly Supervised Semantic Segmentation

Hoyong Kwon, Jaeseok Jeong, Sung-Hoon Yoon, and Kuk-Jin Yoon

European Conference on Computer Vision (ECCV) 2024

[PDF]

Temporal Event Stereo via Joint Learning with Stereoscopic Flow

Hoonhee Cho*, Jae-Young Kang*, and Kuk-Jin Yoon (*equal contribution)

European Conference on Computer Vision (ECCV) 2024

[PDF]

Finding Meaning in Points: Weakly-Supervised Semantic Segmentation for Event Cameras

Hoonhee Cho*, Sung-Hoon Yoon*, Hyeokjun Kweon*, and Kuk-Jin Yoon (*equal contribution)

European Conference on Computer Vision (ECCV) 2024

[PDF]

Diffusion-Guided Weakly Supervised Semantic Segmentation

Sung-Hoon Yoon, Hoyong Kwon*, Jaeseok Jeong*, Daehee Park, and Kuk-Jin Yoon (*equal contribution)

European Conference on Computer Vision (ECCV) 2024

[PDF]

On-the-fly Category Discovery for LiDAR Semantic Segmentation

Hyeonseong Kim*, Sung-Hoon Yoon*, Minseok Kim, and Kuk-Jin Yoon (*equal contribution)

European Conference on Computer Vision (ECCV) 2024

[PDF]

Syn-to-Real Domain Adaptation for Point Cloud Completion via Part-based Approach

Yunseo Yang*, Jihun Kim*, and Kuk-Jin Yoon (*equal contribution)

European Conference on Computer Vision (ECCV) 2024

[PDF]

CMTA: Cross-Modal Temporal Alignment for Event-guided Video Deblurring

Taewoo Kim*, Hoonhee Cho*, and Kuk-Jin Yoon (*equal contribution)

European Conference on Computer Vision (ECCV) 2024

[PDF]

GMT: Enhancing Generalizable Neural Rendering via Geometry-Driven Multi-Reference Texture Transfer

Youngho Yoon*, Hyun-Kurl Jang*, and Kuk-Jin Yoon (*equal contribution)

European Conference on Computer Vision (ECCV) 2024

[PDF]

LiDAR-based All-weather 3D Object Detection via Prompting and Distilling 4D Radar

Yujeong Chae, Hyeonseong Kim, Changgyoon Oh, Minseok Kim, and Kuk-Jin Yoon

European Conference on Computer Vision (ECCV) 2024

[PDF]

Towards Robust Event-based Networks for Nighttime via Unpaired Day-to-Night Event Translation

Yuhwan Jeong*, Hoonhee Cho*, and Kuk-Jin Yoon (*equal contribution)

European Conference on Computer Vision (ECCV) 2024

[PDF]

From SAM to CAMs: Exploring Segment Anything Model for Weakly Supervised Semantic Segmentation

Hyeokjun Kweon and Kuk-Jin Yoon 

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024 (oral)

[PDF]

Multi-agent Long-term 3D Human Pose Forecasting via Interaction-aware Trajectory Conditioning

Jaewoo Jeong*, Daehee Park*, and Kuk-Jin Yoon (*equal contribution)

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024 (highlight)

[PDF]

Weakly Supervised Point Cloud Semantic Segmentation via Artificial Oracle

Hyeokjun Kweon*, Jihun Kim*, and Kuk-Jin Yoon (*equal contribution)

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024

[PDF]

Towards Robust 3D Object Detection with LiDAR and 4D Radar Fusion in Various Weather Conditions

Yujeong Chae, Hyeonseong Kim, and Kuk-Jin Yoon 

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024

[PDF]

Quantifying Task Priority for Multi-Task Optimization

Wooseong Jeong and Kuk-Jin Yoon 

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024

[PDF]

Class Tokens Infusion for Weakly Supervised Semantic Segmentation

Sung-Hoon Yoon, Hoyong Kwon, Hyeonseong Kim, and Kuk-Jin Yoon 

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024

[PDF]

TTA-EVF: Test-Time Adaptation for Event-based Video Frame Interpolation via Reliable Pixel and Sample Estimation

Hoonhee Cho, Taewoo Kim, Yuhwan Jeong, and Kuk-Jin Yoon 

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024

[PDF]

Frequency-aware Event-based Video Deblurring for Real-World Motion Blur

Taewoo Kim*, Hoonhee Cho*, and Kuk-Jin Yoon (*equal contribution)

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024

[PDF]

T4P: Test-Time Training of Trajectory Prediction via Masked Autoencoder and Actor-specific Token Memory

Daehee Park, Jaeseok Jeong, Sung-Hoon Yoon, Jaewoo Jeong, and Kuk-Jin Yoon

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024

[PDF]

FACL-Attack: Frequency-Aware Contrastive Learning for Transferable Adversarial Attacks

Hunmin Yang*, Jongoh Jeong*, and Kuk-Jin Yoon (*equal contribution)

Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI) 2024

[PDF]

Improving Transferability for Cross-domain Trajectory Prediction via Neural Stochastic Differential Equation

Daehee Park, Jaewoo Jeong, and Kuk-Jin Yoon

Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI) 2024

[PDF]

Video-kMaX: A Simple Unified Approach for Online and Near-Online Video Panoptic Segmentation

Inkyu Shin, Dahun Kim, Qihang Yu, Jun Xie, Hong-Seok Kim, Bradley Green, In So Kweon, Kuk-Jin Yoon, and Liang-Chieh Chen

Winter Conference on Applications of Computer Vision 2024

[PDF]

Stable Surface Regularization for Fast Few-Shot NeRF

Byeongin Joung, Byeong-Uk Lee, Jaesung Choe, Ukcheol Shin, Minjun Kang, Taeyeop Lee, In So Kweon, Kuk-Jin Yoon

3DV 2024

[PDF]

2023

EasyFuse: Easy-to-Learn Visible and Infrared Image Fusion Framework based on Unpaired Set

Seongyong Ahn, Inwook Shim, Jihong Min, Kuk-Jin Yoon

Pattern Recognition Letters

[PDF]

Learning Point Cloud Completion without Complete Point Clouds: A Pose-aware Approach

Jihun Kim, Hyeokjun Kweon, Yunseo Yang, and Kuk-Jin Yoon

IEEE/CVF International Conference on Computer Vision (ICCV) 2023

[PDF]

Label-Free Event-based Object Recognition via Joint Learning with Image Reconstruction from Events

Hoonhee Cho*, Hyeonseong Kim*, Yujeong Chae, and Kuk-Jin Yoon (*: Co-first authors)

IEEE/CVF International Conference on Computer Vision (ICCV) 2023 (oral)

[PDF]

Non-Coaxial Event-guided Motion Deblurring with Spatial Alignment

Hoonhee Cho, Yuhwan Jeong, Taewoo Kim, and Kuk-Jin Yoon

IEEE/CVF International Conference on Computer Vision (ICCV) 2023

[PDF]

MATE: Masked Autoencoders are Online 3D Test-Time Learners

Muhammad Jehanzeb Mirza, Inkyu Shin, Wei Lin, Andreas Schriebl, Kunyang Sun, Jaesung Choe, Mateusz Kozinski, Horst Possegger, In So Kweon, Kuk-Jin Yoon, and Horst Bischof

IEEE/CVF International Conference on Computer Vision (ICCV) 2023

[PDF]

Video-kMaX: A Simple Unified Approach for Online and Near-Online Video Panoptic Segmentation

Inkyu Shin, Dahun Kim, Qihang Yu, Jun Xie, Hong-Seok Kim, Bradley Green, In So Kweon, Kuk-Jin Yoon, and Liang-Chieh Chen

IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshop (CVPRW) on Transformers for Vision

[PDF]

One-Shot Neural Fields for 3D Object Understanding

Valts Blukis, Taeyeop Lee, Jonathan Tremblay, Bowen Wen, In So Kweon, Kuk-Jin Yoon, Dieter Fox, and Stan Birchfield

IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshop (CVPRW) on XRNeRF: Advances in NeRF for the Metaverse 2023

[PDF]

Deep Learning-based Gas Identification by Time-variant Illumination of a Single Micro LED-embedded Gas Sensor

Incheol Cho*, Kichul Lee*, Young Chul Sim, Jaeseok Jeong, Minkyu Cho, Heechan Jung, Mingu Kang, Yong-Hoon Cho, Seung Chul Ha, Kuk-Jin Yoon‡,  and Inkyu Park‡ (*: Co-first authors, ‡: Co-corresponding authors)

Light: Science & Applications

[PDF]

Ultra-Low-Power E-Noise System Based on Multi-Micro-LED-Integrated, Nanostructured Gas Sensors and Deep Learning

Kichul Lee, Incheol Cho, Mingu Kang, Jaeseok Jeong, Minho Choi, Kiew Young Woo, Kuk-Jin Yoon‡, Yong-Hoon Cho‡, and Inkyu Park‡ (‡: Co-corresponding authors)

ACS NANO

[PDF]

Weakly Supervised Semantic Segmentation via Adversarial Learning of Classifier and Reconstructor

Hyeokjun Kweon*, Sung-Hoon Yoon*, and Kuk-Jin Yoon

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023

[PDF]

Learning Adaptive Dense Event Stereo from the Image Domain

Hoonhee Cho, Jegyeong Cho, and Kuk-Jin Yoon

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023

[PDF]

TTA-COPE: Test-Time Adaptation for Category-Level Object Pose Estimation

Taeyeop Lee, Jonathan Tremblay, Valts Blukis, Bowen Wen, Byeong-Uk Lee, Inkyu Shin, Stan Birchfield, In So Kweon, and Kuk-Jin Yoon

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023

[PDF]

Single Domain Generalization for LiDAR Semantic Segmentation

Hyeonseong Kim*, Yoonsu Kang*, Changgyoon Oh, and Kuk-Jin Yoon

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023

[PDF]

Cross-Guided Optimization of Radiance Fields with Multi-View Image Super-Resolution for High-Resolution Novel View Synthesis

Youngho Yoon and Kuk-Jin Yoon

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023

[PDF]

Event-based Video Frame Interpolation with Cross-Modal Asymmetric Bidirectional Motion Fields

Taewoo Kim, Yujeong Chae, Hyun-Kurl Jang, and Kuk-Jin Yoon

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023 (selected as a highlight paper)

[PDF]

Leveraging Future Relationship Reasoning for Vehicle Trajectory Prediction

Daehee Park, Hobin Ryu, Yunseo Yang, Jegyeong Cho, Jiwon Kim, and Kuk-Jin Yoon

The International Conference on Learning Representations (ICLR) 2023

Pixel-wise Warping for Deep Image Stitching

Hyeokjun Kweon*, Hyeonseong Kim*, Yoonsu Kang*, Youngho Yoon*, Wooseong Jeong, and Kuk-Jin Yoon

Efficient Reference-based Video Super-Resolution (ERVSR): Single Reference Image Is All You Need

Hoonhee Cho*, Jinsu Lim*, Minji Lee*, Youngrae Kim*, Dongman Lee, Ho-Jin Choi, and Kuk-Jin Yoon

2022

Artificial Olfactory Neuron for an In-sensor Neuromorphic Nose 

Joon-Kyu Han*, Mingu Kang*, Jaeseok Jeong, Incheol Cho, Ji-Man Yu, Kuk-Jin Yoon, Inkyu Park‡, and Yang-Kyu Choi‡ (*: Co-first authors, ‡: Co-corresponding authors)

High Accuracy Real-time Multi-Gas Identification by Batch-Uniform Gas Sensor Array and Deep Learning Algorithm

Mingu Kang, Incheol Cho, Jaeho Park, Jaeseok Jeong, Kichul Lee, Byeongju Lee, Henriquez DD, Kuk-Jin Yoon‡, and Inkyu Park‡ (‡: Co-corresponding authors)

Joint Learning of 2D-3D Weakly Supervised Semantic Segmentation

Hyeokjun Kweon and Kuk-Jin Yoon

Facial Depth and Normal Estimation using Single Dual-Pixel Camera

Minjun Kang, Jaesung Choe, Hyowon Ha, Hae-Gon Jeon, Sunghoon Im, In So Kweon, and Kuk-Jin Yoon

Selection and Cross Similarity for Event-Image Deep Stereo

Hoonhee Cho and Kuk-Jin Yoon

Adversarial Erasing Framework via Triplet with Gated Pyramid Pooling Layer for Weakly Supervised Semantic Segmentation

Sung-Hoon Yoon*, Hyeokjun Kweon*, Je-Gyeong Cho, Shin-Jeong Kim, and Kuk-Jin Yoon

BIPS: Bi-modal Indoor Panorama Synthesis via Residual Depth-aided Adversarial Learning

Changgyoon Oh*, Wonjune Cho*, Yujeong Chae*, Daehee Park*, Lin Wang and Kuk-Jin Yoon

Event-guided Deblurring of Unknown Exposure Time Videos

Taewoo Kim, Jeongmin Lee, Lin Wang, and Kuk-Jin Yoon

Multi-Source Domain Alignment for Robust Segmentation in Unknown Targets

Pranjay Shyam, Kuk-Jin Yoon, and Kyung-Soo Kim

Infra Sim-to-Real : An efficient baseline and dataset for Infrastructure based Online Object Detection and Tracking using Domain Adaptation

Pranjay Shyam, Sumit Mishra, Kuk-Jin Yoon, and Kyung-Soo Kim

Semi-Supervised Hyperspectral Object Detection Challenge Results – PBVS 2022

Aneesh Rangnekar, Zack Mulhollan, Anthony Vodacek, Matthew Hoff man, Angel Sappa, Jun Yu, Liwen Zhang, Shenshen Du, Hao Chang, Keda Lu, Zhong Zhang, Fang Gao, Ye Yu, Feng Shuang, Lei Wang, Qiang Ling, Pranjay Shyam, Kyung-Soo Kim, and Kuk-Jin Yoon

SphereSR: 360° Image Super-Resolution with Arbitrary Projection via Continuous Spherical Image Representation

Youngho Yoon, Inchul Chung, Lin Wang, and Kuk-Jin Yoon

UDA-COPE: Unsupervised Domain Adaptation for Category-level Object Pose Estimation

Taeyeop Lee, Byeong-Uk Lee, Inkyu Shin, Jaesung Choe, Ukcheol Shin, In So Kweon, and Kuk-Jin Yoon 

MM-TTA: Multi-Modal Test-Time Adaptation for 3D Semantic Segmentation

Inkyu Shin, Yi-Hsuan Tsai, Samuel Schulter, Bingbing Zhuang, Buyu Liu, Sparsh Garg, In So Kweon, and Kuk-Jin Yoon 

GIQE: Generic Image Quality Enhancement via N^th Order Iterative Degradation

Pranjay Shyam, Kyung-Soo Kim, and Kuk-Jin Yoon

Stereo Depth from Events Cameras: Concentrate and Focus on the Future

YeongWoo Nam, Sayed Mohammad Mostafavi Isfahani, Kuk-Jin Yoon, and Jonghyun Choi

Event-image Fusion Stereo using Cross-modality Feature Propagation

Hoonhee Cho and Kuk-Jin Yoon

2021

Weakly Supervised Approach for Joint Object and Lane Marking Detection

Shyam, Pranjay, Kim, Kyung-Soo,and Kuk-Jin Yoon

Deep Learning for HDR Imaging: State-of-the-Art and Future Trends

Lin Wang and Kuk-Jin Yoon

Lightweight HDR Camera ISP for Robust Perception in Dynamic Illumination Conditions via Fourier Adversarial Networks

Pranjay Shyam, Sandeep Singh Sengar, Kuk-Jin Yoon, and Kyung-Soo Kim

Joint Framework for Single Image Reconstruction and Super-Resolution with an Event Camera

Lin Wang, Taekyun Kim, and Kuk-Jin Yoon

PSAT-GAN: Efficient Adversarial Attacks against Holistic Scene Understanding

Event-Intensity Stereo: Estimating Depth by the Best of Both Worlds

Mohammad Mostafavi, Kuk-Jin Yoon, and Jonghyun Choi

Learning Icosahedral Spherical Probability Map Based on Bingham Mixture Model for Vanishing Point Estimation

Haoang Li, Kai Chen, Kyungdon Joo, Pyojin Kim, Kuk-Jin Yoon, Zhe Liu, and Yunhui Liu

Dual Transfer Learning for Event-based End-task Prediction via PluggableEvent to Image Translation

Lin Wang, Yujeong Chae, and Kuk-Jin Yoon

Unlocking the Potential of Ordinary Classifier: Class-specific Adversarial Erasing Framework for Weakly Supervised Semantic Segmentation

Hyeokjun Kweon*, Sung-Hoon Yoon*, Hyeonseong Kim, Daehee Park, and Kuk-Jin Yoon

Semi-supervised Student-Teacher Learning for Single Image Super-Resolution

Lin Wang and Kuk-Jin Yoon

E2SRI: Learning to Super-Resolve IntensityImages from Events

Mohammad Mostafavi, Yeongwoo Nam, Jonghyun Choi and Kuk-Jin Yoon

Scanline Resolution-invariant Depth Completion using a Single Image and Sparse LiDAR Point Cloud

Kwonyoung Ryu, Kang-il Lee, Jegyeong Cho and Kuk-Jin Yoon

EOMVS : Event-based Omnidirectional Multi-View Stereo

Hoonhee Cho, Jae-Seok Jeong and Kuk-Jin Yoon

Evaluating Region Modification based Data Augmentation Techniques for Low Level Vision Tasks

Pranjay Shyam, Sandeep Singh Sengar, Kuk-Jin Yoon and Kyung-Soo Kim

EvDistill: Asynchronous Events to End-task Learning via Bidirectional Reconstruction-guided Cross-modal Knowledge Distillation

Lin Wang, Yujeong Chae, Sung-Hoon Yoon, Tae-Kyun Kim, and Kuk-Jin Yoon

Adversarially trained Hierarchical Feature Extractor for Vehicle Re-identification

Pranjay Shyam, Kuk-Jin Yoon and Kyung-Soo Kim

[PDF]

Knowledge Distillation and Student-Teacher Learning for Visual Intelligence: A Review and New Outlooks

Lin Wang and Kuk-Jin Yoon

[PDF]

Towards Domain Invariant Single Image Dehazing

Pranjay Shyam, Kuk-Jin Yoon, and Kyung-Soo Kim

[PDF]

Learning to Reconstruct HDR Images from Events, with Applications to Depth and Flow Prediction

S. Mohammad Mostafavi I., Lin Wang, and Kuk-Jin Yoon

[PDF]

SpherePHD: Applying CNNs on 360° Images with Non-Euclidean Spherical PolyHeDron Representation

Yeonkun Lee, Jaeseok Jeong, Jongseob Yun, Wonjune Cho, and Kuk-Jin Yoon

[PDF]

2020

Loop-Net: Joint Unsupervised Disparity and Optical Flow Estimation of Stereo Videos with Spatiotemporal Loop Consistency

Taewoo Kim, Kwonyoung Ryu*, Kyeongseob Song*, and Kuk-Jin Yoon

[PDF]

EventSR: From Asynchronous Events to Image Reconstruction, Restoration, and Super-Resolution via End-to-End Adversarial Learning

Lin Wang , Tae-Kyun Kim, and Kuk-Jin Yoon

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2020 

[PDF]

Learning to Super Resolve Intensity Images from Events

S. Mohammad Mostafavi I., Jonghyun Choi, and Kuk-Jin Yoon

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2020 (oral)

[PDF]

Dynamic Anchor Selection for Improving Object Localization

Pranjay Shyam, Kuk-Jin Yoon, and Kyung-Soo Kim

International Conference on Robotics and Automation (ICRA) 2020

[PDF]

Deceiving Image-to-Image Translation Networks for Autonomous Driving with Adversarial Perturbations

Lin Wang, Wonjune Cho, and Kuk-Jin Yoon

IEEE Robotics and Automation Letters (RA-L), 2020 (presented at International Conference on Robotics and Automation (ICRA) 2020)

[PDF]

2019

Consistent multiple graph matching with multi-layer random walks synchronization

Han-Mu Park and Kuk-Jin Yoon

Pattern Recognition Letters, 2019

[PDF]

Exploiting Multi-layer Graph Factorization for Multi-attributed Graph Matching

Han-Mu Park and Kuk-Jin Yoon

Pattern Recognition Letters, 2019

[PDF]

Joint Estimation of Camera Orientation and Vanishing Points from an Image Sequence in a Non-Manhattan World

Jeong-Kyun Lee and Kuk-Jin Yoon

International Journal of Computer Vision (IJCV), 2019

[PDF]

Learning Depth from Endoscopic Images

Ju-Hong Yoon, Kuk-Jin Yoon, and Min-Gyu Park

3D Vision 2019

[PDF]

Confidence Analysis of Feature Points for Visual-Inertial Odometry of Urban Vehicles

Chang-Ryeol Lee, and Kuk-Jin Yoon

IET Intelligent Transport Systems, 2019

[PDF]

Distance-based Camera Network Topology Inference for Person Re-identification

Yeong-Jun Cho and Kuk-Jin Yoon

Pattern Recognition Letters, 2019

[PDF]

Event-based High Dynamic Range Image and Very High Frame Rate Video Generation using Conditional Generative Adversarial Networks

S. Mohammad Mostafavi I.*, Lin Wang*, and Kuk-Jin Yoon (*: equal contribution)

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2019

[PDF]

SpherePHD: Applying CNNs on a Spherical PolyHeDron Representation of 360◦ Images

Yeon-Kun Lee*, Jae-Seok Jeong*, Won-June Cho*, Jong-Seob Yun*, and Kuk-Jin Yoon (*: equal contribution)

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2019

[PDF]

Learning and selecting confidence measures for robust stereo matching

Min-Gyu Park and  Kuk-Jin Yoon

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019

[PDF]

As-Planar-As-Possible Depth Map Estimation

Min-Gyu Park and Kuk-Jin Yoon

Computer Vision and Image Understanding (CVIU), 2019

[PDF]

Joint Person Re-identification and Camera Network Topology Inference in Multiple Cameras 

Yeong-Jun Cho, Su-A Kim*, Jae-Han Park*, Kyuewang Lee, and Kuk-Jin Yoon

Computer Vision and Image Understanding (CVIU), 2019

[PDF]

Structural Constraint Data Association for Online Multi-object Tracking

Ju Hong Yoon , Chang-Ryeol Lee, Ming-Hsuan Yang, and Kuk-Jin Yoon

International Journal of Computer Vision (IJCV) , 2019

[PDF]

2018

Stereo Vision aided Image Dehazing using Deep Neural Network

Jeong-Yun Na and Kuk-Jin Yoon

The 1st Workshop and Challenge on Comprehensive Video Understanding in the Wild 2018

[PDF]

PaMM: Pose-Aware Multi-Shot Matching for Improving Person Re-Identification

Yeong-Jun Cho and Kuk-Jin Yoon

IEEE Transactions on Image Processing (TIP), 2018

[PDF]

Calibration and Noise Identification of a Rolling Shutter Camera and a Low-Cost Inertial Measurement Unit

Chang-Ryeol Lee, Ju Hong Yoon  and Kuk-Jin Yoon

Sensors, 2018

[PDF]

Multi-attributed Graph Matching with Multi-layer Graph Structure and Multi-layer Random Walks

Han-Mu Park and Kuk-Jin Yoon

IEEE Transactions on Image Processing (TIP), 2018

[PDF]

Temporally Consistent Road Surface Profile Estimation Using Stereo Vision

Jeong-Kyun Lee and Kuk-Jin Yoon

IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2018

[PDF]

Greedy Refinement of Object Proposals via Boundary-aligned Minimum Bounding Box Search

Han-Mu Park, Dae-Yong Cho, and Kuk-Jin Yoon

IET Computer Vision, 2018

[PDF]

Confidence-Based Data Association and Discriminative Deep Appearance Learning for Robust Online Multi-Object Tracking

Seung Hwan Bae and Kuk-Jin Yoon

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 40, no. 3, pp. 595-610, 2018.

[PDF]

Animal Detection in Huge Air-view Images using CNN-based Sliding Window

Young-Chul Yoon and Kuk-Jin Yoon

International Workshop on Frontiers of Computer Vision (IW-FCV), 2018

[PDF]

2017

Unified framework for Automated Person Re-identification and Camera Network Topology Inference in Camera Networks

Yeong-Jun Cho, Jae-Han Park*, Su-A Kim*, Kyuewang Lee, and Kuk-Jin Yoon

International Workshop on Cross-domain Human Identification (in conjunction with ICCV)

[PDF]

Automatic Content-aware Projection for 360 Videos

Yeong Won Kim*, Chang-Ryeol Lee*, Dae-Yong Cho, Yong Hoon Kwon, Hyeok-Jae Choi, and Kuk-Jin Yoon

IEEE International Conference on Computer Vision (ICCV)

[PDF]

Joint Layout Estimation and Global Multi-View Registration for Indoor Reconstruction

Jeong-Kyun Lee*, Jae-Won Yea*, Min-Gyu Park, and Kuk-Jin Yoon

IEEE International Conference on Computer Vision (ICCV)

[PDF]

Multi-Object Tracking via Tracklet Confidence-Aided Relative Motion Analysis

Han-Mu Park, Se-Hoon Park, and Kuk-Jin Yoon

SPIE Journal of Electronic Imaging

[PDF]

Visual-Inertial RGB-D SLAM for Mobile Augmented Reality

Williem, Andre Ivan, Ho-Chang Seok, Jong-Woo Lim, Kuk-Jin Yoon, Ik-Hwan Cho, and In-Kyu Park

Advances in Multimedia Information Processing (PCM)

[PDF]

Point Density-Invariant 3D Object Detection and Pose Estimation

Su-A Kim and Kuk-Jin Yoon

IEEE International Conference on Image Processing

[PDF]

Adaptive Spatiotemporal Similarity Measure for Consistent Depth Maps

Yongho Shin and Kuk-Jin Yoon

The 4th International Conference on Computer Applications and Information Processing Technology (CAIPT 2017) Bali, Indonesia, August 8-10

[PDF]

A Wellness Platform for Stereoscopic 3D Video Systems Using EEG-based Visual Discomfort Evaluation Technology

Min-Koo Kang, Hohyun Cho, Han-Mu Park, Sung Chan Jun, and Kuk-Jin Yoon

Applied Ergonomics

[PDF]

Learning to Detect Dynamic Feature Points

Min-Gyu Park, Ju Hong Yoon, Jonghee Park, Jeong-Kyun Lee, and Kuk-Jin Yoon

IEEE Intelligent Vehicles Symposium (IV)

[PDF]

Joint Estimation of Multi-Target SNR and Dynamic States in Cluttered Environment

Seung-Hwan Bae, Jong-Youl Park, and Kuk-Jin Yoon

IET Radar, Sonar and Navigation

[PDF]

Cognitive Response and Cortical Oscillatory Processing for Various Stereoscopic Depths – Simultaneous EEG/MEG Study

Hohyun Cho, Min-Koo Kang, Sangtae Ahn, Moonyoung Kwon, Kuk-Jin Yoon, Kiwoong Kim, and Sung Chan Jun

Journal of Integrative Neuroscience

[PDF]

Multiple Styles Transfer Emphasizing Visual Saliency

Suho Cho and Kuk-Jin Yoon

Korea-Japan Joint Workshop on Frontiers of Computer Vision (FCV)

[PDF]

2016

Cortical Responses and Shape Complexity of Stereoscopic Image – A Simultaneous EEG/MEG Study

Hohyun Cho, Min-Koo Kang, Sangtae Ahn, Moonyoung Kwon, Kuk-Jin Yoon, Kiwoong Kim, and Sung Chan Jun

NeuroSignals

[PDF]

Three-Point Direct Stereo Visual Odometry

Jeong-Kyun Lee and Kuk-Jin Yoon

27th British Machine Vision Conference (BMVC)

[PDF]

~ 2015

• Jeong-Kyun Lee and Kuk-Jin Yoon, “Real-time Joint Estimation of Camera Orientation and Vanishing Points,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Boston, June 8-10, 2015.
• Jungho Kim, Kuk-Jin Yoon, and In-So Kweon, “Bayesian Filtering for Keyframe-based Visual SLAM” International Journal of Robotics Research (IJRR), April 15, 2015.
• Ju Hong Yoon, Ming-Hsuan Yang, Jongwoo Lim, and Kuk-Jin Yoon, “Bayesian Multi-object Tracking Using Motion Context from Multiple Objects,” IEEE Winter Conference on Applications of Computer Vision (WACV), Waikoloa Beach, HI, Jan. 6-9, 2015.
• Min-Gyu Park, Jonghee Park, Yongho Shin, Eul-Gyoon Lim and Kuk-Jin Yoon, “Stereo Vision with Image-guided Structured-light Pattern Matching,” IET Electronics Letters, Volume 51, Issue 3, 05 February 2015, p.238-239
• Seung-Hwan Bae and Kuk-Jin Yoon, “Polyp Detection via Imbalanced Learning and Discriminative Feature Learning” IEEE Transactions on Medical Imaging(TMI), 2015
• Jonghee Park and Kuk-Jin Yoon, “Real-time Line Matching from Stereo Images using a Nonparametric Transform of Spatial Relations and Texture Information.” SPIE Optical Engineering, Volume 54, Issue 2, 2015.
• Seung-Hwan Bae and Kuk-Jin Yoon, “Polyp Detection via Imbalanced Learning and Discriminative Feature Learning” IEEE Transactions on Medical Imaging(TMI), 2015
• Min-Gyu Park and Kuk-Jin Yoon, “Leveraging Stereo Matching with Learning-based Confidence Measures,” IEEE International Conference Computer Vision and Pattern Recognition (CVPR), Boston, June 8-10, 2015.
• Yongho Shin and Kuk-Jin Yoon, “Spatiotemporal Stereo Matching with 3D Disparity Profiles,” British Machine Vision Conference (BMVC), 2015.
• Se-Hoon Park, Min-Gyu Park and Kuk-Jin Yoon, “Confidence-based Weighted Median Filter for Effective Disparity Map Refinement” International Conference on Ubiquitous Robots and Ambient Intelligence (URAI), 2015.

• Min-Koo Kang, Dae-Young Kim, and Kuk-Jin Yoon, “Adaptive Support of Spatial–Temporal Neighbors for Depth Map Sequence Up-sampling,” IEEE Signal Processing Letters, vol.21, no.2, pp.150-154, Feb. 2014
• Chang-Ryeol Lee, Ju Hong Yoon and Kuk-Jin Yoon, “Robust Calibration of an Ultra-Low-Cost Inertial Measurement Unit and a Camera: Handling of Severe System Uncertainty,” in IEEE Intl. Conf. on Robotics and Automation (ICRA), Hong Kong, China, May 31 – June 5, 2014.
• Seung-Hwan Bae and Kuk-Jin Yoon, “Robust Online Multi-Object Tracking based on Tracklet Confidence and Online Discriminative Appearance Learning,” IEEE International Conference Computer Vision and Pattern Recognition (CVPR), Greater Columbus Convention Center in Columbus, Ohio, June 24-27, 2014
• Min-Koo Kang and Kuk-Jin Yoon, “Depth-Discrepancy-Compensated Inter-Prediction with Adaptive Segment Management for Multiview Depth Video Coding,” IEEE Transactions on Multimedia (TMM), vol. 16, no. 6, pp. 1563-1573, Oct. 2014.
• Seung-Hwan Bae and Kuk-Jin Yoon, “Robust Online Multi-Object Tracking with Data Association and Track Management,” IEEE Transactions on Image Processing (TIP), Volume 23, Issue 7, 2014
• Jonghee Park, Ju Hong Yoon, Min-Gyu park and Kuk-Jin Yoon, “Dynamic Point Clustering with Line Constraints for Moving Object Detection in DAS,” IEEE Signal Processing Letters (SPL), vol.21, no.10, pp.1255-1259, Oct, 2014

• Ju Hong Yoon, Du Yong Kim, and Kuk-Jin Yoon, “Gaussian Mixture Importance Sampling Function for Unscented SMC-PHD Filter,” Signal Processing, Vol 93, Issue 9, pp. 2664–2670, 2013.
• Ju Hong Yoon, Du Yong Kim, and Kuk-Jin Yoon, “Multi-Object Tracking Using Hybrid Observation in PHD filter”, International Conference on Image Processing (ICIP), Melbourne, Australia,2013.
• Yongho Shin and Kuk-Jin Yoon, “Spatiotemporal Stereo Matching for Dynamic Scenes with Temporal Disparity Variation”, International Conference on Image Processing (ICIP), Melbourne, Australia,2013.
• Jae-chan Jeong, Ho-chul Shin* ,Jiho Chang, Eul-gyun Lim, Seungmin Choi, Kuk-Jin Yoon and Jae-il Cho,”High-quality Stereo Depth Map Generation Using Infrared Pattern Projection”, ETRI Journal, Vol.35, no.6 Dec 28,2013.

• Min-Gyu Park and Kuk-Jin Yoon, “Efficient Point Feature Tracking based on Self-aware Distance Transform,” British Machine Vision Conference (BMVC), Guildford, UK, Sept. 3-7, 2012.
• Kuk-Jin Yoon,”Stereo Matching based on Non-linear Diffusion with Disparity-Dependent Support-Weights,” IET Computer Vision,Vol. 6, Iss. 4, pp. 306–313,2012.
• H. Cho, M.-K. Kang, K.-J. Yoon, and S. C. Jun, “Feasibility study for visual discomfort assessment on stereo images using EEG,” International Conference on 3D Imaging (IC3D), pp. 1-6, 2012.
• Seung-Hwan Bae, Du Yong Kim, Ju Hong Yoon, Vladimir Shin, and Kuk-Jin Yoon*, “Automated Multi-Target Tracking with Kinematic and Non-Kinematic Information,” IET Radar, Sonar and Navigation, Vol. 6, No.4, p.p. 272- 281, April, 2012.
• Dae-Young Kim and Kuk-Jin Yoon, “High Quality Depth Map Up-Sampling with Consideration for Edge Noise of Range Sensors,” IEEE International Conference on Image Processing (ICIP), 2012 (oral presentation).
• Ju Hong Yoon, Du Yong Kim, and Kuk-Jin Yoon, “Visual Tracking via Adaptive Tracker Selection with Multiple Features,” European Conference on Computer Vision (ECCV), Firenze, Italy, Oct. 7-13, 2012.
• Ju Hong Yoon, Du Yong Kim, and Kuk-Jin Yoon, “Efficient Importance Sampling Function Design for Sequential Monte Carlo PHD Filter“, Signal Processing, 92(9), pp. 2315-2321, 2012.

• Min-Gyu Park and Kuk-Jin Yoon, “Optimal Key-frame Selection for Video-based Structure-from-motion“, Electronics Letters (EL), Vol. 47, Issue 25, 2011
• Kuk-Jin Yoon and Sung-Kee Park,”Improving stereo matching with symmetric cost functions,” IEICE Electronics Express,Vol. 8, No.2 pp.57-63 ,2011.

• Kuk-Jin Yoon, Min-Gil Shin, and Ji-Hyo Lee, “Recognizing 3D Objects with 3D information from Stereo Vision”, International Conference on Pattern Recognition (ICPR), pp. 4020-4023, 2010.
• Kuk-Jin Yoon, Emmanuel Prados, and Peter Sturm, “Joint Estimation of Shape and Reflectance using Multiple Images with Known Illumination Conditions”, International Journal of Computer Vision (IJCV), vol. 86, no. 2-3, pp. 192-210, 2010.
• Yongho Shin, Min-Gyu Park, Young-Sun Jeon, Young-Su Moon, Shi-Hwa Lee, and Kuk-Jin Yoon, “Tone Correction with Dynamic Objects for Seamless Image Mosaic“, Color and Reflectance in Imaging and Computer Vision Workshop 2010 (in conjunction with ECCV 2010), 2010.
• Kuk-Jin Yoon and Min-Gil Shin, “Reducing Ambiguity in Object Recognition using Relational Information”, Asian Conference on Computer Vision (ACCV), 2010.
• Ji-Ho Cho, Kuk-Jin Yoon, and K. H. Lee,”Alpha-matte-based Depth Map Enhancement for Hairy Objects,” Electronics Letters,vol. 46, no. 3, pp. 211–213, 2010
• Ji-Ho Cho, Min Ki Park, Kuk-Jin Yoon, and Kwan H. Lee,”Automatic Video Matting with Temporal Coherence using Time-of-flight Sensor,”28th Picture Coding Symposium, pp. 81-81, 2010.

• Jean-Charles Bazin, Kuk-Jin Yoon, Inso Kweon, Cedric Demonceaux, and Pascal Vasseur,”Particle Filter Approach Adapted to Catadioptric Images for Target Tracking Application”British Machine Vision Conference (BMVC),pp. 1-11,2009.
• Kuk-Jin Yoon, Emmanuel Prados, and Peter Sturm, “Generic Scene Recovery using Multiple Images,” International Conference on Scale Space and Variational Methods in Computer Vision (SSVM), pp. 745-757, oral presentation, 2009.
• Jungho Kim, Kuk-Jin Yoon, and In So Kweon,”Robust 3-D Visual SLAM in a Large-scale Environment,” International Symposium on Robotics Research (ISRR), pp 1-16, 2009
• Kuk-Jin Yoon, Yekeun Jeong, and In So Kweon,” Support Aggregation via Non-linear Diffusion with Disparity-Dependent Support-Weights for Stereo Matching”Asian Conference on Computer Vision (ACCV), oral presentation(5.37%), pp 25-36 ,2009.
• Jean-Charles Bazin, Dang-Quang Pham, Inso Kweon, and Kuk-Jin Yoon,” Automatic method for closed Eye Correction” IEEE International Conference on Image Processing (ICIP), pp. 2433-2436, 2009.
• Peter Sturm, Amae”l Delaunoy, Pau Gargallo, Emmanuel Prados, and Kuk-Jin Yoon,”3D and Appearance Modeling from Images,” Iberoamerican Congress on Pattern Recognition (Invited Talk), pp. 695-704, 2009.

• Sungho Kim, Kuk-Jin Yoon, and In So Kweon, “Object Recognition Using a Generalized Robust Invariant Feature and Gestalt’s Law of Proximity and Similarity,” Pattern Recognition (PR), vol. 41, no. 2, pp. 726-741, 2008.
• Kuk-Jin Yoon, In So Kweon,”Distinctive Similarity Measure for Stereo Matching Under Point Ambiguity,” Computer Vision and Image Understanding (CVIU),Vol 112, Iss 2, pp 173–183, 2008.

• Kuk-Jin Yoon and In So Kweon, “Stereo Matching with the Distinctive Similarity Measure,” IEEE International Conference on Computer Vision (ICCV), 2007.
• Kuk-Jin Yoon, Amael Delaunoy, Pau Gargallo, and Peter Sturm, “Toward Global and Model based Multiview Stereo Methods for Shape and Reflectance Estimation,” Workshop on Photometric Analysis and Computer Vision (PACV) (in conjunction with ICCV), 2007.

• Jungho Kim, Kuk-Jin Yoon, Jun-Sik Kim, and In So Kweon, “Simultaneous Localization And Mapping Using Single Camera Catadioptric Stereo System,” SICE – ICASE International Joint Conference, , 2006.
• Kuk-Jin Yoon and In So Kweon, “Separating Reflection Components using a Single Color Image,” Workshop on Image Processing and Image Understanding, pp. 86-91, 2006.
• Kuk-Jin Yoon, Yoo Jin Choi, and In So Kweon, “Fast Separation of Reflection Components Using a Specularity-Invariant Image Representation,” IEEE International Conference on Image Processing (ICIP), pp. 973-976, 2006.
• Sungho Kim, Kuk-Jin Yoon, and In So Kweon, “Background Robust Object Labeling by Voting of Weight-Aggregated Local Features,” International Conference on Pattern Recognition (ICPR), pp. 219-222, 2006.
• Kuk-Jin Yoon and In So Kweon, “Correspondence Search in the Presence of Specular Highlights using Specular-Free Two-Band Images,” Lecture Notes in Computer Science-Asian Conference on Computer Vision (ACCV), vol. 3852, pp. 761-770, 2006.
• Sungho Kim, Kuk-Jin Yoon, and In So Kweon, “Object Recognition Using a Generalized Robust Invariant Feature and Gestalt’s Law of Proximity and Similarity,” IEEE Workshop on Perceptual Organization in Computer Vision (in conjunction with CVPR), pp. 193-200, 2006.
• Kuk-Jin Yoon and In So Kweon, “Stereo Matching with Symmetric Cost Functions,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2371-2377, 2006.
• Kuk-Jin Yoon and In So Kweon, “Adaptive Support-Weight Approach for Correspondence Search,” IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 28, no. 4, pp. 650-656, 2006.

• Yoo Jin Choi, Kuk-Jin Yoon, and In So Kweon, “Illumination Chromaticity Estimation by Dichromatic Line Analysis Using Specularity Invariant Dichromatic-Slope,” Workshop on Image Processing and Image Understanding, pp. 392-397, 2005
• Kuk-Jin Yoon, Yoo-Jin Choi, and In So Kweon, “Illuminant Chromaticity Estimation Using Dichromatic Slope and Dichromatic Line Space,” Korea-Japan Joint Workshop on Frontiers of Computer Vision (FCV), pp. 219-224, 2005.
• Kuk-Jin Yoon, Yoo Jin Choi, and In So Kweon, “Dichromatic-Based Color Constancy Using Dichromatic Slope and Dichromatic Line Space,” IEEE International Conference on Image Processing (ICIP), vol. 3, pp. 960-963, 2005.
• Kuk-Jin Yoon and In So Kweon, “Locally Adaptive Support-Weight Approach for Visual Correspondence Search,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), vol. 2, pp. 924-931, 2005.

• Kuk-Jin Yoon and In So Kweon, “Locally Adaptive Support-Weight Approach for Visual Correspondence Search,” International Conference on Ubiquitous Robots and Ambient Intelligence, pp. 506-514, 2004.
• Kuk-Jin Yoon and In So Kweon, “Voting-based Separation of Diffuse and Specular Pixels,” Electronics Letters, vol. 40, no. 20, pp. 1260-1261, 2004
• Kuk-Jin Yoon and In So Kweon, “Human Perception Based Color Image Quantization,” International Conference on Pattern Recognition (ICPR), vol. 1, pp. 664-667, 2004

• Wang-Heon Lee, Kuk-Jin Yoon, and In So Kweon, “Modeling and Target Classification Using Multiple Reflections of Sonar,” 2003 Conference on Information and Control Systems, pp. 830-835, 2003
• Ouk Choi, Kuk-Jin Yoon, and In So Kweon, “A Hierarchical Window Based Approach for Correspondence Problem in Vision,” International Conference on Mechatronics and Information Technology (ICMIT), pp. 590-594, 2003
• Jun-Sik Kim, In So Kweon, and Kuk-Jin Yoon, “The New Projective Invariances of Concentric Circles and Their Applications: Camera Calibration,” Workshop on Image Processing and Image Understanding, pp. 328-333, 2003.

• Kuk-Jin Yoon, In So Kweon, Chan-Ho Lee, Jong-Kyu Oh, and In-Taek Yeo, “Landmark Design and Real-Time Landmark Tracking Using Color Histogram for Mobile Robot Localization,” International Symposium on Robotics (ISR), pp. 1083-1088, 2001.
• Kuk-Jin Yoon, Gi-Jeong Jang, Sung-Ho Kim, and In So Kweon, “Fast Landmark Tracking and Localization Algorithm for the Mobile Robot Self-Localization,” IFAC Workshop on Mobile Robot Technology, pp. 190-195, 2001.
• Kuk-Jin Yoon and In So Kweon, “Landmark Design and Real-Time Landmark Tracking for Mobile Robot Localization,” SPIE Photonics Boston 2001 : Mobile Robots XVI, vol. 4573, pp. 219-226, 2001.
• Kuk-Jin Yoon, Gi-Jeong Jang, Sung-Ho Kim, and In So Kweon, “Color Landmark Based Self-Localization for Indoor Mobile Robots,” Journal of Control, Automation, and Systems Engineering, vol. 7, no. 9, pp. 749-757, 2001.
• Kuk-Jin Yoon and In So Kweon, “Artificial Landmark Tracking Based on the Color Histogram,” IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), vol. 4, pp. 1918-1923, 2001.
• Kuk-Jin Yoon and In So Kweon, “Color Image Segmentation Considering of Human Sensitivity for Color Pattern Variations,” SPIE Photonics Boston 2001 : Intelligent Robot and Computer Vision XX: Algorithms, Techniques and Active Vision, vol. 4572, pp. 269-278, 2001

• Seung-Hoon Han, Kuk-Jin Yoon, and In So Kweon, “A New Technique for Shot Detection and Key Frames Selection in Histogram Space,” Workshop on Image Processing and Image Understanding, pp. 475-479, 2000.
• Kuk-Jin Yoon and In So Kweon, “Moving Object Segmentation with Accurate Boundary Using Color and Motion,” Workshop on Image Processing and Image Understanding, pp. 150-155, 2000.
• Kuk-Jin Yoon and In So Kweon, “Moving Object Segmentation Algorithm for Human-like Vision System,” International Workshop on Human-friendly Welfare Robotic Systems (HWRS), pp. 109-114, 2000.
• Kuk-Jin Yoon, In So Kweon, Chang-Yeong Kim and Yang-Seok Seo, “Moving Object Segmentation Based on Human Visual Sensitivity,” Lecture Notes in Computer Science-Biologically Motivated Computer Vision (BMCV), vol. 1811, pp. 62-72, 2000.
• Jong-Eun Ha, Jin-Young Yang, Kuk-Jin Yoon, and In So Kweon, “Self-Calibration Using the Linear Projective Reconstruction,” IEEE International Conference on Robotics and Automation (ICRA), vol. 1, pp. 885-890, 2000.