- Hierarchical Bidirected Graph Convolutions For Large-Scale 3D Point Cloud Place Recognition

Dong Wook Shu, and Junseok Kwon, IEEE Trans. Neural Networks and Learning Systems (TNNLS), Vol 35, no. 7, page 9651-9662, 2024 [pdf]

ACK: 2021-0-01341, Artificial Intelligence Graduate School Program, NRF-2020R1C1C1004907

- Satellite Image Dehazing based on Dual Frequency Pass Networks

Guisik Kim, Chungsang Cho, Joohyung Kang,  and Junseok Kwon, IEEE Geoscience and Remote Sensing Letters (GRSL), vol. 21, page 1-5, 2024 [pdf]

ACK: CAU Research Grant

- End-to-End Metric Learning From Corrupted Images Using Triplet Dimensionality Reduction Loss

Juhyeon Park, Jin Hong,  and Junseok Kwon, Expert Systems with Applications (ESWA),  vol 238, Part C, 2024 [pdf] [code]

ACK: 2021-0-01341, Artificial Intelligence Graduate School Program, NRF-2020R1C1C1004907

- Sampling Based Spherical Transformer For 360 Degree Image Classification

Sungmin Cho, Raehyuk Jung, and Junseok Kwon, Expert Systems with Applications (ESWA), vol 238, Part B, 2024 [pdf]    

ACK: NRF-2020R1C1C1004907

- AttSec: Protein Secondary Structure Prediction By Capturing Local Patterns From Attention Map

Youjin Kim, and Junseok Kwon, BMC Bioinformatic, vol. 24 no. 183, 2023 [pdf] [code]

ACK: 2021-0-01341, Artificial Intelligence Graduate School Program, Seoul Campus Town Technology R&D Project

- Localized Curvature-based Combinatorial Subgraph Sampling for Large-scale Graphs

Dong Wook Shu, Youjin Kim, and Junseok Kwon, Pattern Recognition (PR),  vol. 139, page 109475, 2023 [pdf]

ACK: 2021-0-01341, Artificial Intelligence Graduate School Program, NRF-2020R1C1C1004907

- Dual Gradient based Snow Attentive Desnowing

Guisik Kim*, Sungmin Cho*, Dokyeong Kwon, Seo Hyeon Lee and Junseok Kwon, IEEE Access (ACCESS), Vol 11, page 26086-26098, 2023 [pdf] [code]

• Guisik and Sungmin contributed eaqually

ACK: NRF-2020R1C1C1004907, CAU GRS

- Self-Parameter Distillation Dehazing

Guisik Kim, and Junseok Kwon, IEEE Trans. Image Processing (TIP), Vol 32, page 631-642, 2023 [pdf]

ACK: NRF-2020R1C1C10049072, MCST-R2021040032 

- Self-Augmentation Based on Noise-Robust Probabilistic Model For Noisy Labels

Byoung Woo Park, Sung Woo Park, and Junseok Kwon, IEEE Access (ACCESS), vol. 10, page 116141-116151, 2022 [pdf]

ACK: CAU GRS, MCST-R2021040032

- Wasserstein Distributional Harvesting for Highly Dense 3D Point Clouds

Dong Wook Shu, Sung Woo Park, and Junseok Kwon,  Pattern Recognition (PR), vol. 132, page 108978, 2022   [pdf]

ACK: NRF-2020R1C1C1004907, MCST-R2021040032   

-  Optimal Visual Tracking Using Wasserstein Transport Proposals

Jin Hong, and Junseok Kwon, Expert Systems with Applications (ESWA),  vol. 209, page 118251, 2022  [pdf] 

ACK: NRF-2020R1C1C1004907, CAU GRS

- Wasserstein Approximate Bayesian Computation for Visual Tracking

Jinhee Park, and Junseok Kwon, Pattern Recognition (PR), vol. 131, page 108905, 2022   [pdf]

ACK: National Program for Excellence in SW (20170001000051001) , CAU GRS

- Style Transfer with Target Feature Palette and Attention Coloring

Suhyeon Ha, Guisik Kim, and Junseok Kwon, Multimedia Tools and Applications (MTAP), vol 81. page 39675–39694, 202, 2022   [pdf]

ACK: 2021-0-01341, Artificial Intelligence Graduate School Program, MCST-R2021040032

- Stagemix video generation using face and body keypoints detection

Minjoon Jung, Seunghyun Lee, Eun Seon Sim, Min Ho Jo, Yu Jin Lee, Hye Bin Choi, and Junseok Kwon, Multimedia Tools and Applications (MTAP), vol 81. page 38531–38542, 2022   [pdf]

- Adversarial Attack Can Help Visual Tracking

Sungmin Cho, Hyeseong Kim, Ji Soo Kim, Hyomin Kim, and Junseok Kwon, Multimedia Tools and Applications (MTAP), vol 81. page 35283-35292, 2022  [pdf]

ACK: 2021-0-01341, Artificial Intelligence Graduate School Program 

- Riemannian Submanifold Framework for Log-Euclidean Metric Learning on Symmetric Positive Definite Manifolds

Sung Woo Park, and Junseok Kwon, Expert Systems with Applications (ESWA), vol. 202, page 117270, 2022   [pdf]

ACK: 2021-0-01341, Artificial Intelligence Graduate School Program

- Orthogonal Single-Target Tracking

Youjin Kim, and Junseok Kwon, IEEE Access (ACCESS), vol. 10, page 33527-33536, 2022  [pdf]

ACK: CAU GRS, NRF-2020R1C1C1004907 

- Deep Illumination-aware Dehazing with Low-light and Detail Enhancement 

Guisik Kim, and Junseok Kwon, IEEE Transactions on Intelligent Transportation Systems (TITS), vol. 23, no. 4, page 2494-2508, 2022 [pdf]

ACK: IITP-2017-0-01780, MCST-R2021040032

- SphereGAN: Sphere Generative Adversarial Network Based on Geometric Moment Matching and Its Applications

Sung Woo Park, and Junseok Kwon, IEEE Transaction on Pattern Analysis and Machine Intelligence (TPAMI), vol. 44, no. 3, page 1566-1580, 2022 [pdf]

ACK: CAU GRS, NRF-2020R1C1C1004907 

- Visual Tracking by Adaptive Continual Meta-Learning 

Janghoon Choi, Sungyong Baik, Myungsub Choi, Junseok Kwon, and Kyoung Mu Lee, IEEE Access (ACCESS), vol. 10, page 9022-9035, 2022 [pdf] 

- Deep Plane Sweep Generative Adversarial Network for Consistent Multi-View Depth Estimation

Dong Wook Shu, Wonbeom Jang, Heebin Yoo, Hong-Chang Shin, and Junseok Kwon , Machine Vision and Applications (MVAP),  vol. 33, no. 1, 2022  [pdf]

ACK: CAU GRS, GK19C0200 

- Controllable Image Dataset Construction using Conditionally Transformed Inputs in Generative Adversarial Networks

Farkhod Makhmudkhujaev, Junseok Kwon, and In Kyu Park, IEEE Access (ACCESS), vol. 9, page 144699 - 144712, 2021 [pdf] 

- Robust Person Re-identification via Graph Convolution Network 

Guisik Kim, Dong Wook Shu, and Junseok Kwon, Multimedia Tools and Applications (MTAP), vol. 80, page 29129 - 29138, 2021 [pdf] 

ACK: CAU Scholarship Grants, NRF-2020R1C1C1004907 

- Graph Visual Tracking using Conditional Uncertainty Minimization and Minibatch Monte Carlo Inference

Junseok Kwon, Information Sciences (INFSCI), vol. 574, page 363 - 376, 2021 [pdf]

ACK: NRF-2020R1C1C1004907, IITP-2017-0-01780 

- Pixel-wise Wasserstein Autoencoder for Highly Generative Dehazing 

Guisik Kim, Sung Woo Park, and Junseok Kwon, IEEE Transaction on Image Processing (TIP), vol. 30, page 5452 - 5462, 2021 [pdf]

ACK: NRF-2020R1C1C1004907 

- Abnormal Event Detection by Variation Matching

Sungmin Cho, and Junseok Kwon, Machine Vision and Applications (MVAP), 32, Article number: 80, 2021 [pdf]

ACK: CAU GRS, NRF-2020R1C1C1004907 

- Visual Tracking Using Interactive Factorial Hidden Markov Models

Jinwook Paeng, and Junseok Kwon, IET Signal Processing (IETSP), vol. 15, no. 6, page 365 - 374, 2021 [pdf]

ACK: CAU GRS, NRF-2020R1C1C1004907 

- Visual Tracking of Small Unmanned Aerial Vehicles Based on Object Proposal Voting

Jin Hong, and Junseok Kwon, Applied Sciences, vol. 11, no. 3, Jan 2021 [pdf]

ACK: CAU GRS, NRF-2020R1C1C1004907 

- Particle Swarm Markov Chain Monte Carlo for Robust Visual Tracking with Adaptive Template Update

Junseok Kwon, Applied Soft Computing (ASC), vol. 97, Part B, Dec 2020, 105443 [pdf]

ACK:IITP-2017-0-01780 

- Generative Adversarial Network for Class-conditional Data Augmentation

Jeongmin Lee, Younkyoung Yoon, and Junseok Kwon, Applied Sciences, vol. 10, no. 23, Nov 2020 [pdf]

ACK: NRF-2020M3C1C2A01080885 

- Visual Tracking Using Wang-Landau Reinforcement Sampler

Dokyeong Kwon and Junseok Kwon, Applied Sciences, vol. 10, no. 21, Nov 2020 [pdf]

ACK: CAU GRS, NRF-2020R1C1C1004907 

- Zero-Variance Minibatch Monte Carlo for Pixel-Wise Visual Tracking

Juhyeon Park and Junseok Kwon, Electronics Letters (EL), vol. 56, no. 21, Oct, page 1118 - 1120, 2020 [pdf]

ACK: CAU GRS, IITP-2020-2018-0-01799 

- Visual Tracking Enhancement by Trajectory Simulation based on Hidden Semi-Markov Model

Suhyeon Ha and Junseok Kwon, Electronics Letters (EL), vol. 56, no. 2, Jan, page 85-87, 2020 [pdf]

ACK: CAU Scholarship Grants, NRF-2017R1C1B1003354 

-Robust Visual Tracking based on Variational Auto-encoding Markov Chain Monte Carlo

Junseok Kwon, Information Sciences (INFSCI), vol. 512, Feb, page 1308-1323, 2020 [pdf]

ACK:NRF-2018R1A4A1059731 

- Rare Event Detection by Quasi-Wang-Landau Monte Carlo Sampling with Approximate Bayesian Computation

Junseok Kwon, Journal of Mathematical Imaging and Vision (JMIV), vol. 61, no. 9, Nov, page 1258-1275, 2019 [pdf]

ACK:NRF-2017R1C1B1003354 

- Adaptive Regularization via Residual Smoothing in Deep Learning Optimization

Junghee Cho, Junseok Kwon, and Byung-Woo Hong, IEEE Access (ACCESS), vol. 7, page 122889-122899, 2019 [pdf]

ACK:NRF-2018R1A4A1059731 

- Small Object Segmentation with Fully Convolutional Network based on Overlapping Domain Decomposition

Jinhee Park, Dokyeong Kwon, Bo Won Choi, Ga Young Kim, Kwang Yong Kim, and Junseok Kwon, Machine Vision and Applications (MVAP), vol. 30 , no. 4, June, page 707 -716, 2019 [pdf]

ACK: ETRI, CAU GRS 

- Orthogonal Object Proposal and Its Application

Sung Woo Park, and Junseok Kwon, IET Computer Vision (IETCV), vol. 13 , no. 4, June, page 420 -427, 2019 [pdf]

ACK: CAU Scholarship Grants 

- Visual Tracking with Adaptive Initial Configuration and Likelihood Landscape Analysis

Guisik Kim, and Junseok Kwon, IET Computer Vision (IETCV), vol. 13 , no. 1, Feb, page 1-7, 2019 [pdf]

ACK: CAU Scholarship Grants 

- Real-time Visual Tracking by Deep Reinforced Decision Making

Janghoon Choi, Junseok Kwon, and Kyoung Mu Lee, Computer Vision and Image Understanding (CVIU), vol. 171, June, page 10-19, 2018 [pdf]

ACK:IITP-2017-0-01780 

- Uncertainty Calibrated Markov Chain Monte Carlo Sampler for Visual Tracking based on Multi-Shape Posterior

Junseok Kwon, Journal of Mathematical Imaging and Vision, (JMIV), vol. 60, no. 5, page 681-691, 2018 [pdf]

ACK:NRF-2017R1C1B1003354 

- Visual Tracking Based on Edge Field with Object Proposal Association

Junseok Kwon, Hansung Lee, Image and Vision Computing (IVC), vol. 69, January, page 22-32. 2018 [pdf]

ACK:NRF-2017R1C1B1003354 

- Multi-target Tracking by Enhancing the Kernelized Correlation Filter based Tracker

Junseok Kwon, Kwangyong Kim, and Kee-seong Cho, Electronics Letters (EL), vol. 53, no. 20, page 1358-1360. 2017 [pdf] 

- Leveraging Observation Uncertainty for Robust Visual Tracking

Junseok Kwon, Radu Timofte, and Luc Van Gool, Computer Vision and Image Understanding (CVIU), vol. 158, page 62-71. 2017 [pdf]

- Adaptive Visual Tracking with Minimum Uncertainty Gap Estimation

Junseok Kwon, and Kyoung Mu Lee, IEEE Transaction on Pattern Analysis and Machine Intelligence (TPAMI), vol. 39, no. 1, page 18-31. 2017 [pdf]

- Joint Tracking and Ground Plane Estimation

Junseok Kwon, Ralf Dragon, and Luc Van Gool, IEEE Signal Processing Letters (SPL), vol. 23, no. 11, page 1514 - 1517. 2016 [pdf]

- Tracking by Switching State Space Models

Junseok Kwon, Ralf Dragon, and Luc Van Gool, Computer Vision and Image Understanding (CVIU), vol. 153, page 29 - 36. 2016 [pdf]

- PICASO: PIxel Correspondences And SOft Match Selection for Real-time Tracking

Radu Timofte, Junseok Kwon, and Luc Van Gool, Computer Vision and Image Understanding (CVIU), vol. 153, page 162 - 153. 2016 [pdf] 

- A Unified Framework for Event Summarization and Rare Event Detection from Multiple Views

Junseok Kwon, and Kyoung Mu Lee, IEEE Transaction on Pattern Analysis and Machine Intelligence (TPAMI), vol. 37, no. 9, page 1737-1750. 2015 [pdf] 

 -Tracking by Sampling and Integrating Multiple Trackers

Junseok Kwon, and Kyoung Mu Lee, IEEE Transaction on Pattern Analysis and Machine Intelligence (TPAMI), vol. 36, no. 7, page 1428-1441. 2014 [pdf]

- Highly Non-Rigid Object Tracking via Patch-based Dynamic Appearance Modeling

Junseok Kwon, and Kyoung Mu Lee, IEEE Transaction on Pattern Analysis and Machine Intelligence (TPAMI), vol. 35, no. 10, page 2427-2441. 2013 [pdf] 

- Wang-Landau Monte Carlo-based Tracking Methods for Abrupt Motions

Junseok Kwon, and Kyoung Mu Lee, IEEE Transaction on Pattern Analysis and Machine Intelligence (TPAMI), vol. 35, no. 4, page 1011-1024. 2013

[pdf] [project page] 

- Neural Collapse Informed Initialization With Perturbation Injection In Classification-based Metric Learning

Information Sciences (INFSCI), under review 

- LOAD: Local Attribute Debiasing for Pretrained Vision Models

Expert Systems with Applications (ESWA), under review