Tracking of Abrupt Motion Using Wang-Landau Monte Carlo Estimation. - Junseok Kwon; Kyoung Mu Lee (ECCV (1), 2008)

Tracking of a non-rigid object via patch-based dynamic appearance modeling and adaptive Basin Hopping Monte Carlo sampling. - Junseok Kwon; Kyoung Mu Lee (CVPR, 2009)

Simultaneous video synchronization and rare event detection via Cross-Entropy Monte Carlo optimization. - Junseok Kwon; Kyoung Mu Lee (ICCV Workshops, 2009)

Visual tracking decomposition. - Junseok Kwon; Kyoung Mu Lee (CVPR, 2010)

Tracking by Sampling Trackers. - Junseok Kwon; Kyoung Mu Lee (ICCV, 2011)

A unified framework for event summarization and rare event detection. - Junseok Kwon; Kyoung Mu Lee (CVPR, 2012)

Robust visual tracking using autoregressive hidden Markov Model. - Dong Woo Park; Junseok Kwon; Kyoung Mu Lee (CVPR, 2012)

Visual tracking using the joint inference of target state and segment-based appearance models. - Junha Roh; Dong Woo Park; Junseok Kwon; Kyoung Mu Lee (APSIPA, 2013)

Minimum Uncertainty Gap for Robust Visual Tracking. - Junseok Kwon; Kyoung Mu Lee (CVPR, 2013)

Wang-Landau Monte Carlo-Based Tracking Methods for Abrupt Motions. - Junseok Kwon; Kyoung Mu Lee (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Highly Nonrigid Object Tracking via Patch-Based Dynamic Appearance Modeling. - Junseok Kwon; Kyoung Mu Lee (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Interval Tracker: Tracking by Interval Analysis. - Junseok Kwon; Kyoung Mu Lee (CVPR, 2014)

Robust Visual Tracking with Double Bounding Box Model. - Junseok Kwon; Junha Roh; Kyoung Mu Lee; Luc Van Gool (ECCV (1), 2014)

Appearances Can Be Deceiving: Learning Visual Tracking from Few Trajectory Annotations. - Santiago Manen; Junseok Kwon; Matthieu Guillaumin; Luc Van Gool (ECCV (5), 2014)

Tracking by Sampling and IntegratingMultiple Trackers. - Junseok Kwon; Kyoung Mu Lee (IEEE Trans. Pattern Anal. Mach. Intell., 2014)

A Unified Framework for Event Summarization and Rare Event Detection from Multiple Views. - Junseok Kwon; Kyoung Mu Lee (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

Tracking by switching state space models. - Junseok Kwon; Ralf Dragon; Luc Van Gool (Comput. Vis. Image Underst., 2016)

PICASO: PIxel correspondences and SOft match selection for real-time tracking. - Radu Timofte; Junseok Kwon; Luc Van Gool (Comput. Vis. Image Underst., 2016)

Joint Tracking and Ground Plane Estimation. - Junseok Kwon; Ralf Dragon; Luc Van Gool (IEEE Signal Process. Lett., 2016)

Robust Pixel-wise Dehazing Algorithm based on Advanced Haze-Relevant Features. - Guisik Kim; Junseok Kwon (BMVC, 2017)

Visual Tracking by Reinforced Decision Making. - Janghoon Choi; Junseok Kwon; Kyoung Mu Lee (CoRR, 2017)

Deep Meta Learning for Real-Time Visual Tracking based on Target-Specific Feature Space. - Janghoon Choi; Junseok Kwon; Kyoung Mu Lee (CoRR, 2017)

Leveraging observation uncertainty for robust visual tracking. - Junseok Kwon; Radu Timofte; Luc Van Gool (Comput. Vis. Image Underst., 2017)

Adaptive Visual Tracking with Minimum Uncertainty Gap Estimation. - Junseok Kwon; Kyoung Mu Lee (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

Adaptive Patch Based Convolutional Neural Network for Robust Dehazing. - Guisik Kim; Suhyeon Ha; Junseok Kwon (ICIP, 2018)

Low-Complexity Online Model Selection with Lyapunov Control for Reward Maximization in Stabilized Real-Time Deep Learning Platforms. - Dohyun Kim 001; Junseok Kwon; Joongheon Kim (SMC, 2018)

Real-time visual tracking by deep reinforced decision making. - Janghoon Choi; Junseok Kwon; Kyoung Mu Lee (Comput. Vis. Image Underst., 2018)

Visual tracking based on edge field with object proposal association. - Junseok Kwon; Hansung Lee (Image Vis. Comput., 2018)

Uncertainty Calibrated Markov Chain Monte Carlo Sampler for Visual Tracking Based on Multi-shape Posterior. - Junseok Kwon (J. Math. Imaging Vis., 2018)

Bidirectional Deep Residual learning for Haze Removal. - Guisik Kim; Jinhee Park 001; Suhyeon Ha; Junseok Kwon (CVPR Workshops, 2019)

Sphere Generative Adversarial Network Based on Geometric Moment Matching. - Sung Woo Park; Junseok Kwon (CVPR, 2019)

Deep Meta Learning for Real-Time Target-Aware Visual Tracking. - Janghoon Choi; Junseok Kwon; Kyoung Mu Lee (ICCV, 2019)

3D Point Cloud Generative Adversarial Network Based on Tree Structured Graph Convolutions. - Dong Wook Shu; Sung Woo Park; Junseok Kwon (ICCV, 2019)

Learning to Remember Past to Predict Future for Visual Tracking. - Sungyong Baik; Junseok Kwon; Kyoung Mu Lee (ICIP, 2019)

Multi-Domain Attentive Detection Network. - Sungmin Cho; Bo Won Choi; Do-Hwi Kim; Junseok Kwon (ICIP, 2019)

Low-Lightgan: Low-Light Enhancement Via Advanced Generative Adversarial Network With Task-Driven Training. - Guisik Kim; Dokyeong Kwon; Junseok Kwon (ICIP, 2019)

Depth-Controllable Very Deep Super-Resolution Network. - Dohyun Kim 001; Joongheon Kim; Junseok Kwon; Tae-Hyung Kim (IJCNN, 2019)

Adaptive Regularization via Residual Smoothing in Deep Learning Optimization. - Junghee Cho; Junseok Kwon; Byung-Woo Hong (IEEE Access, 2019)

Deep ensemble network with explicit complementary model for accuracy-balanced classification. - Dohyun Kim 001; Kyeorye Lee; Jiyeon Kim; Junseok Kwon; Joongheon Kim (CoRR, 2019)

Robust visual tracking with adaptive initial configuration and likelihood landscape analysis. - Guisik Kim; Junseok Kwon (IET Comput. Vis., 2019)

Orthogonal object proposal and its application. - Sung Woo Park; Junseok Kwon (IET Comput. Vis., 2019)

Rare-Event Detection by Quasi-Wang-Landau Monte Carlo Sampling with Approximate Bayesian Computation. - Junseok Kwon (J. Math. Imaging Vis., 2019)

Small object segmentation with fully convolutional network based on overlapping domain decomposition. - Jinhee Park 001; Dokyeong Kwon; Bo Won Choi; Ga Young Kim; Kwang Yong Kim; Junseok Kwon (Mach. Vis. Appl., 2019)

Visual Tracking by TridentAlign and Context Embedding. - Janghoon Choi; Junseok Kwon; Kyoung Mu Lee (ACCV (2), 2020)

DALE : Dark Region-Aware Low-light Image Enhancement. - Dokyeong Kwon; Guisik Kim; Junseok Kwon (BMVC, 2020)

Upright Adjustment With Graph Convolutional Networks. - Raehyuk Jung; Sungmin Cho; Junseok Kwon (ICIP, 2020)

Deep Diffusion-Invariant Wasserstein Distributional Classification. - Sung Woo Park; Dong Wook Shu; Junseok Kwon (NeurIPS, 2020)

Particle swarm optimization-Markov Chain Monte Carlo for accurate visual tracking with adaptive template update. - Junseok Kwon (Appl. Soft Comput., 2020)

Robust visual tracking based on variational auto-encoding Markov chain Monte Carlo. - Junseok Kwon (Inf. Sci., 2020)

Filter Pruning Via Softmax Attention. - Sungmin Cho; Hyeseong Kim; Junseok Kwon (ICIP, 2021)

Wasserstein Distributional Normalization For Robust Distributional Certification of Noisy Labeled Data. - Sung Woo Park; Junseok Kwon (ICML, 2021)

Generative Adversarial Networks for Markovian Temporal Dynamics: Stochastic Continuous Data Generation. - Sung Woo Park; Dong Wook Shu; Junseok Kwon (ICML, 2021)

Dog Noseprint Identification Algorithm. - Sungmin Cho; Jinwook Paeng; Taehong Kim; Chanil Kim; Ji Soo Kim; Hyeseong Kim; Junseok Kwon (ICOIN, 2021)

Automatic Stylized Plaid Check Pattern Try-on. - Ji Soo Kim; Jisoo Park; Junseok Kwon (ICTC, 2021)

Controllable Image Dataset Construction Using Conditionally Transformed Inputs in Generative Adversarial Networks. - Farkhod Makhmudkhujaev; Junseok Kwon; In Kyu Park (IEEE Access, 2021)

Visual tracking using interactive factorial hidden Markov models. - Jinwook Paeng; Junseok Kwon (IET Signal Process., 2021)

Graph visual tracking using conditional uncertainty minimization and minibatch Monte Carlo inference. - Junseok Kwon (Inf. Sci., 2021)

Robust person re-identification via graph convolution networks. - Guisik Kim; Dong Wook Shu; Junseok Kwon (Multim. Tools Appl., 2021)

Abnormal event detection by variation matching. - Sungmin Cho; Junseok Kwon (Mach. Vis. Appl., 2021)

Pixel-Wise Wasserstein Autoencoder for Highly Generative Dehazing. - Guisik Kim; Sung Woo Park; Junseok Kwon (IEEE Trans. Image Process., 2021)

Neural Markov Controlled SDE: Stochastic Optimization for Continuous-Time Data. - Sung Woo Park; Kyungjae Lee; Junseok Kwon (ICLR, 2022)

Balanced Data Augmentation of Object Detection Via Boot-strapping. - Sungmin Cho; Jinwook Paeng; Junseok Kwon (ICTC, 2022)

B-Cell Linear Epitope Prediction Using Transformer Encoder. - Youjin Kim; Jinhee Park 001; Junseok Kwon (ICTC, 2022)

Learning to Intrinsic Image Filter for Instagram Filter Removal. - Seohyeon Lee; Guisik Kim; Junseok Kwon (ICTC, 2022)

Riemannian Neural SDE: Learning Stochastic Representations on Manifolds. - Sung Woo Park; Hyomin Kim; Kyungjae Lee; Junseok Kwon (NeurIPS, 2022)

Densely-packed Object Detection via Hard Negative-Aware Anchor Attention. - Sungmin Cho; Jinwook Paeng; Junseok Kwon (WACV, 2022)

Visual Tracking by Adaptive Continual Meta-Learning. - Janghoon Choi; Sungyong Baik; Myungsub Choi; Junseok Kwon; Kyoung Mu Lee (IEEE Access, 2022)

Orthogonal Single-Target Tracking. - Youjin Kim; Junseok Kwon (IEEE Access, 2022)

Self-Augmentation Based on Noise-Robust Probabilistic Model for Noisy Labels. - Byoung Woo Park; Sung Woo Park; Junseok Kwon (IEEE Access, 2022)

Spherical Transformer. - Sungmin Cho; Raehyuk Jung; Junseok Kwon (CoRR, 2022)

Optimal visual tracking using Wasserstein transport proposals. - Jin Hong; Junseok Kwon (Expert Syst. Appl., 2022)

Riemannian submanifold framework for log-Euclidean metric learning on symmetric positive definite manifolds. - Sung Woo Park; Junseok Kwon (Expert Syst. Appl., 2022)

Adversarial attack can help visual tracking. - Sungmin Cho; Hyeseong Kim; Ji Soo Kim; Hyomin Kim; Junseok Kwon (Multim. Tools Appl., 2022)

Deep-plane sweep generative adversarial network for consistent multi-view depth estimation. - Dong Wook Shu; Wonbeom Jang; Heebin Yoo; Hong-Chang Shin; Junseok Kwon (Mach. Vis. Appl., 2022)

SphereGAN: Sphere Generative Adversarial Network Based on Geometric Moment Matching and its Applications. - Sung Woo Park; Junseok Kwon (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Wasserstein approximate bayesian computation for visual tracking. - Jinhee Park 001; Junseok Kwon (Pattern Recognit., 2022)

Wasserstein distributional harvesting for highly dense 3D point clouds. - Dong Wook Shu; Sung Woo Park; Junseok Kwon (Pattern Recognit., 2022)

Deep Illumination-Aware Dehazing With Low-Light and Detail Enhancement. - Guisik Kim; Junseok Kwon (IEEE Trans. Intell. Transp. Syst., 2022)

Style transfer with target feature palette and attention coloring. - Suhyeon Ha; Guisik Kim; Junseok Kwon (Multim. Tools Appl., 2022)

Stagemix video generation using face and body keypoints detection. - Minjoon Jung; Seunghyun Lee; Eun-Seon Sim; Min Ho Jo; Yu Jin Lee; Hyebin Choi; Junseok Kwon (Multim. Tools Appl., 2022)

Deep Dehazing Powered by Image Processing Network. - Guisik Kim; Jinhee Park 001; Junseok Kwon (CVPR Workshops, 2023)

Dual Gradient Based Snow Attentive Desnowing. - Guisik Kim; Sungmin Cho; Dokyeong Kwon; Seohyeon Lee; Junseok Kwon (IEEE Access, 2023)

Self-Parameter Distillation Dehazing. - Guisik Kim; Junseok Kwon (IEEE Trans. Image Process., 2023)

Localized curvature-based combinatorial subgraph sampling for large-scale graphs. - Dong Wook Shu; Youjin Kim; Junseok Kwon (Pattern Recognit., 2023)

AttSec: protein secondary structure prediction by capturing local patterns from attention map. - Youjin Kim; Junseok Kwon (BMC Bioinform., 2023)

Satellite Image Dehazing Via Masked Image Modeling and Jigsaw Transformation. - Guisik Kim; Choongsang Cho; Junseok Kwon (ECCV Workshops (9), 2024)

Optimizing Dataset Distillation Using DATM: Adjusting Learning Rate and Upper Bound. - Minjun Kim; Junhee Cho; Junseok Kwon (ECCV Workshops (19), 2024)

Uncertainty Calibration with Energy Based Instance-Wise Scaling in the Wild Dataset. - Mijoo Kim; Junseok Kwon (ECCV (46), 2024)

MRDiff: Time Series Anomaly Detection Using Multi-level Reconstruction Diffusion. - Dagyeong Na; Junseok Kwon (ICDM (Workshops), 2024)

POTF: Prompt-based Object-centric Tensorial Field. - Seonghak Lee; Jisoo Park; Junseok Kwon (ICTC, 2024)

SOTA: Sequential Optimal Transport Approximation for Visual Tracking in Wild Scenario. - Seonghak Lee; Jisoo Park; Radu Timofte; Junseok Kwon (IEEE Access, 2024)

Satellite Image Dehazing Based on Dual Frequency Pass Networks. - Guisik Kim; Chungsang Cho; Joohyung Kang; Junseok Kwon (IEEE Geosci. Remote. Sens. Lett., 2024)

Sampling based spherical transformer for 360 degree image classification. - Sungmin Cho; Raehyuk Jung; Junseok Kwon (Expert Syst. Appl., 2024)

End-to-end metric learning from corrupted images using triplet dimensionality reduction loss. - JuHyeon Park; Jin Hong; Junseok Kwon (Expert Syst. Appl., 2024)

Hierarchical Bidirected Graph Convolutions for Large-Scale 3-D Point Cloud Place Recognition. - Dong Wook Shu; Junseok Kwon (IEEE Trans. Neural Networks Learn. Syst., 2024)

Deep Disentangled Metric Learning. - Jinhee Park 001; Jisoo Park; Dagyeong Na; Junseok Kwon (AAAI, 2025)

Enhancing Global and Local Context Modeling in Time Series Through Multi-Step Transformer-Diffusion Interaction. - Dagyeong Na; Jinho Kang; Byoungwoo Kang; Junseok Kwon (IEEE Access, 2025)