Computer Vision Machine Learning Lab
School of Computer Science and Engineering
Graduate School of Artificial Intelligence, Chung-Ang University
221 Hueksuk-Dong, Dongjak-gu, Seoul, 156-756, Korea
Embedded Files
Journal Publications (2024)
- SOTA: Sequential Optimal Transport Approximation For Visual Tracking in Wild Scenario
Seonghak Lee, Jisoo Park, Radu Timofte, Junseok Kwon, IEEE Access (ACCESS), Vol. 12, no. 1, page 177028-177037, 2024 [pdf]
ACK: 2021-0-01341, Artificial Intelligence Graduate School Program, Chung-Ang University Research Grants
- Geometry-Preserved Image Editing
Taeeun Kwon, and Junseok Kwon, IET Electronic Letters, Vol. 60, no. 1, page 1-4, 2024 [pdf]
ACK: 2021-0-01341, Artificial Intelligence Graduate School Program, Chung-Ang University Research Grants
- 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
- 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
Journal Publications (2023)
- 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
- 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
Journal Publications (2022)
- Self-Augmentation Based on Noise-Robust Probabilistic Model For Noisy Labels
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
Journal Publications (2021)
- Controllable Image Dataset Construction using Conditionally Transformed Inputs in Generative Adversarial Networks
- 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
- 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
- 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
- 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
- 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
- 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
- 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
Journal Publications (2020)
- Particle Swarm Markov Chain Monte Carlo for Robust Visual Tracking with Adaptive Template Update
- 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
- 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
- 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
- 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
- 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
-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
Journal Publications (2019)
- Rare Event Detection by Quasi-Wang-Landau Monte Carlo Sampling with Approximate Bayesian Computation
- 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
- 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
- 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
- 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
- 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
Journal Publications (2018)
- Real-time Visual Tracking by Deep Reinforced Decision Making
- 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
- 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
- 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
Journal Publications (~2017)
- Multi-target Tracking by Enhancing the Kernelized Correlation Filter based Tracker
- 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
- 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
- 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
- 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
- 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
- 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
- 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
-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
- 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
- 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
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