Junseok Kwon

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 80

Top Topics

Symmetric Positive Definite

Visual Tracking

Event Detection

Top Venues

Publications

JuHyeon Park, Jin Hong, Junseok Kwon
End-to-end metric learning from corrupted images using triplet dimensionality reduction loss. Expert Syst. Appl. 238 (Part C) (2024)
Dong Wook Shu, Junseok Kwon
Hierarchical Bidirected Graph Convolutions for Large-Scale 3-D Point Cloud Place Recognition. IEEE Trans. Neural Networks Learn. Syst. 35 (7) (2024)
Sungmin Cho, Raehyuk Jung, Junseok Kwon
Sampling based spherical transformer for 360 degree image classification. Expert Syst. Appl. 238 (Part B) (2024)
Guisik Kim, Chungsang Cho, Joohyung Kang, Junseok Kwon
Satellite Image Dehazing Based on Dual Frequency Pass Networks. IEEE Geosci. Remote. Sens. Lett. 21 (2024)
Raehyuk Jung, Sungmin Cho, Junseok Kwon
Upright adjustment with graph convolutional networks. CoRR (2024)
Mijoo Kim, Junseok Kwon
Uncertainty Calibration with Energy Based Instance-wise Scaling in the Wild Dataset. CoRR (2024)
Dong Wook Shu, Youjin Kim, Junseok Kwon
Localized curvature-based combinatorial subgraph sampling for large-scale graphs. Pattern Recognit. 139 (2023)
Guisik Kim, Sungmin Cho, Dokyeong Kwon, Seohyeon Lee, Junseok Kwon
Dual Gradient Based Snow Attentive Desnowing. IEEE Access 11 (2023)
Youjin Kim, Junseok Kwon
AttSec: protein secondary structure prediction by capturing local patterns from attention map. BMC Bioinform. 24 (1) (2023)
Guisik Kim, Jinhee Park, Junseok Kwon
Deep Dehazing Powered by Image Processing Network. CVPR Workshops (2023)
Guisik Kim, Junseok Kwon
Self-Parameter Distillation Dehazing. IEEE Trans. Image Process. 32 (2023)
Suhyeon Ha, Guisik Kim, Junseok Kwon
Style transfer with target feature palette and attention coloring. Multim. Tools Appl. 81 (27) (2022)
Youjin Kim, Junseok Kwon
Orthogonal Single-Target Tracking. IEEE Access 10 (2022)
Janghoon Choi, Sungyong Baik, Myungsub Choi, Junseok Kwon, Kyoung Mu Lee
Visual Tracking by Adaptive Continual Meta-Learning. IEEE Access 10 (2022)
Byoung Woo Park, Sung Woo Park, Junseok Kwon
Self-Augmentation Based on Noise-Robust Probabilistic Model for Noisy Labels. IEEE Access 10 (2022)
Dong Wook Shu, Sung Woo Park, Junseok Kwon
Wasserstein distributional harvesting for highly dense 3D point clouds. Pattern Recognit. 132 (2022)
Sung Woo Park, Hyomin Kim, Kyungjae Lee, Junseok Kwon
Riemannian Neural SDE: Learning Stochastic Representations on Manifolds. NeurIPS (2022)
Guisik Kim, Junseok Kwon
Deep Illumination-Aware Dehazing With Low-Light and Detail Enhancement. IEEE Trans. Intell. Transp. Syst. 23 (3) (2022)
Sung Woo Park, Kyungjae Lee, Junseok Kwon
Neural Markov Controlled SDE: Stochastic Optimization for Continuous-Time Data. ICLR (2022)
Jinhee Park, Junseok Kwon
Wasserstein approximate bayesian computation for visual tracking. Pattern Recognit. 131 (2022)
Jin Hong, Junseok Kwon
Optimal visual tracking using Wasserstein transport proposals. Expert Syst. Appl. 209 (2022)
Sungmin Cho, Raehyuk Jung, Junseok Kwon
Spherical Transformer. CoRR (2022)
Sung Woo Park, Junseok Kwon
SphereGAN: Sphere Generative Adversarial Network Based on Geometric Moment Matching and its Applications. IEEE Trans. Pattern Anal. Mach. Intell. 44 (3) (2022)
Sungmin Cho, Jinwook Paeng, Junseok Kwon
Densely-packed Object Detection via Hard Negative-Aware Anchor Attention. WACV (2022)
Minjoon Jung, Seunghyun Lee, Eun-Seon Sim, Min Ho Jo, Yu Jin Lee, Hyebin Choi, Junseok Kwon
Stagemix video generation using face and body keypoints detection. Multim. Tools Appl. 81 (27) (2022)
Sungmin Cho, Jinwook Paeng, Junseok Kwon
Balanced Data Augmentation of Object Detection Via Boot-strapping. ICTC (2022)
Sung Woo Park, Junseok Kwon
Riemannian submanifold framework for log-Euclidean metric learning on symmetric positive definite manifolds. Expert Syst. Appl. 202 (2022)
Dong Wook Shu, Wonbeom Jang, Heebin Yoo, Hong-Chang Shin, Junseok Kwon
Deep-plane sweep generative adversarial network for consistent multi-view depth estimation. Mach. Vis. Appl. 33 (1) (2022)
Youjin Kim, Jinhee Park, Junseok Kwon
B-Cell Linear Epitope Prediction Using Transformer Encoder. ICTC (2022)
Sungmin Cho, Hyeseong Kim, Ji Soo Kim, Hyomin Kim, Junseok Kwon
Adversarial attack can help visual tracking. Multim. Tools Appl. 81 (24) (2022)
Seohyeon Lee, Guisik Kim, Junseok Kwon
Learning to Intrinsic Image Filter for Instagram Filter Removal. ICTC (2022)
Sungmin Cho, Hyeseong Kim, Junseok Kwon
Filter Pruning Via Softmax Attention. ICIP (2021)
Junseok Kwon
Graph visual tracking using conditional uncertainty minimization and minibatch Monte Carlo inference. Inf. Sci. 574 (2021)
Sung Woo Park, Dong Wook Shu, Junseok Kwon
Generative Adversarial Networks for Markovian Temporal Dynamics: Stochastic Continuous Data Generation. ICML (2021)
Sungmin Cho, Jinwook Paeng, Taehong Kim, Chanil Kim, Ji Soo Kim, Hyeseong Kim, Junseok Kwon
Dog Noseprint Identification Algorithm. ICOIN (2021)
Sungmin Cho, Junseok Kwon
Abnormal event detection by variation matching. Mach. Vis. Appl. 32 (4) (2021)
Jinwook Paeng, Junseok Kwon
Visual tracking using interactive factorial hidden Markov models. IET Signal Process. 15 (6) (2021)
Suhyeon Ha, Guisik Kim, Junseok Kwon
Style Transfer with Target Feature Palette and Attention Coloring. CoRR (2021)
Guisik Kim, Dong Wook Shu, Junseok Kwon
Robust person re-identification via graph convolution networks. Multim. Tools Appl. 80 (19) (2021)
Ji Soo Kim, Jisoo Park, Junseok Kwon
Automatic Stylized Plaid Check Pattern Try-on. ICTC (2021)
Guisik Kim, Sung Woo Park, Junseok Kwon
Pixel-Wise Wasserstein Autoencoder for Highly Generative Dehazing. IEEE Trans. Image Process. 30 (2021)
Sung Woo Park, Junseok Kwon
Wasserstein Distributional Normalization For Robust Distributional Certification of Noisy Labeled Data. ICML (2021)
Farkhod Makhmudkhujaev, Junseok Kwon, In Kyu Park
Controllable Image Dataset Construction Using Conditionally Transformed Inputs in Generative Adversarial Networks. IEEE Access 9 (2021)
Raehyuk Jung, Sungmin Cho, Junseok Kwon
Upright Adjustment With Graph Convolutional Networks. ICIP (2020)
Dokyeong Kwon, Guisik Kim, Junseok Kwon
DALE : Dark Region-Aware Low-light Image Enhancement. BMVC (2020)
Janghoon Choi, Junseok Kwon, Kyoung Mu Lee
Visual Tracking by TridentAlign and Context Embedding. CoRR (2020)
Janghoon Choi, Junseok Kwon, Kyoung Mu Lee
Visual Tracking by TridentAlign and Context Embedding. ACCV (2) (2020)
Sung Woo Park, Dong Wook Shu, Junseok Kwon
Deep Diffusion-Invariant Wasserstein Distributional Classification. NeurIPS (2020)
Junseok Kwon
Particle swarm optimization-Markov Chain Monte Carlo for accurate visual tracking with adaptive template update. Appl. Soft Comput. 97 (Part B) (2020)
Junseok Kwon
Robust visual tracking based on variational auto-encoding Markov chain Monte Carlo. Inf. Sci. 512 (2020)
Dokyeong Kwon, Guisik Kim, Junseok Kwon
DALE : Dark Region-Aware Low-light Image Enhancement. CoRR (2020)
Guisik Kim, Junseok Kwon
Robust visual tracking with adaptive initial configuration and likelihood landscape analysis. IET Comput. Vis. 13 (1) (2019)
Dong Wook Shu, Sung Woo Park, Junseok Kwon
3D Point Cloud Generative Adversarial Network Based on Tree Structured Graph Convolutions. ICCV (2019)
Jinhee Park, Dokyeong Kwon, Bo Won Choi, Ga Young Kim, Kwang Yong Kim, Junseok Kwon
Small object segmentation with fully convolutional network based on overlapping domain decomposition. Mach. Vis. Appl. 30 (4) (2019)
Junghee Cho, Junseok Kwon, Byung-Woo Hong
Adaptive Regularization via Residual Smoothing in Deep Learning Optimization. IEEE Access 7 (2019)
Guisik Kim, Jinhee Park, Suhyeon Ha, Junseok Kwon
Bidirectional Deep Residual learning for Haze Removal. CVPR Workshops (2019)
Sungmin Cho, Bo Won Choi, Do-Hwi Kim, Junseok Kwon
Multi-Domain Attentive Detection Network. ICIP (2019)
Sungyong Baik, Junseok Kwon, Kyoung Mu Lee
Learning to Remember Past to Predict Future for Visual Tracking. ICIP (2019)
Dong Wook Shu, Sung Woo Park, Junseok Kwon
3D Point Cloud Generative Adversarial Network Based on Tree Structured Graph Convolutions. CoRR (2019)
Dohyun Kim, Joongheon Kim, Junseok Kwon, Tae-Hyung Kim
Depth-Controllable Very Deep Super-Resolution Network. IJCNN (2019)
Janghoon Choi, Junseok Kwon, Kyoung Mu Lee
Deep Meta Learning for Real-Time Target-Aware Visual Tracking. ICCV (2019)
Sung Woo Park, Junseok Kwon
Sphere Generative Adversarial Network Based on Geometric Moment Matching. CVPR (2019)
Junghee Cho, Junseok Kwon, Byung-Woo Hong
Adaptive Regularization via Residual Smoothing in Deep Learning Optimization. CoRR (2019)
Sung Woo Park, Junseok Kwon
Orthogonal object proposal and its application. IET Comput. Vis. 13 (4) (2019)
Junseok Kwon
Rare-Event Detection by Quasi-Wang-Landau Monte Carlo Sampling with Approximate Bayesian Computation. J. Math. Imaging Vis. 61 (9) (2019)
Guisik Kim, Dokyeong Kwon, Junseok Kwon
Low-Lightgan: Low-Light Enhancement Via Advanced Generative Adversarial Network With Task-Driven Training. ICIP (2019)
Dohyun Kim, Kyeorye Lee, Jiyeon Kim, Junseok Kwon, Joongheon Kim
Deep ensemble network with explicit complementary model for accuracy-balanced classification. CoRR (2019)
Janghoon Choi, Junseok Kwon, Kyoung Mu Lee
Real-time visual tracking by deep reinforced decision making. Comput. Vis. Image Underst. 171 (2018)
Junseok Kwon
Uncertainty Calibrated Markov Chain Monte Carlo Sampler for Visual Tracking Based on Multi-shape Posterior. J. Math. Imaging Vis. 60 (5) (2018)
Dohyun Kim, Junseok Kwon, Joongheon Kim
Low-Complexity Online Model Selection with Lyapunov Control for Reward Maximization in Stabilized Real-Time Deep Learning Platforms. SMC (2018)
Guisik Kim, Suhyeon Ha, Junseok Kwon
Adaptive Patch Based Convolutional Neural Network for Robust Dehazing. ICIP (2018)
Junseok Kwon, Hansung Lee
Visual tracking based on edge field with object proposal association. Image Vis. Comput. 69 (2018)
Janghoon Choi, Junseok Kwon, Kyoung Mu Lee
Deep Meta Learning for Real-Time Visual Tracking based on Target-Specific Feature Space. CoRR (2017)
Junseok Kwon, Radu Timofte, Luc Van Gool
Leveraging observation uncertainty for robust visual tracking. Comput. Vis. Image Underst. 158 (2017)
Guisik Kim, Junseok Kwon
Robust Pixel-wise Dehazing Algorithm based on Advanced Haze-Relevant Features. BMVC (2017)
Janghoon Choi, Junseok Kwon, Kyoung Mu Lee
Visual Tracking by Reinforced Decision Making. CoRR (2017)
Junseok Kwon, Kyoung Mu Lee
Adaptive Visual Tracking with Minimum Uncertainty Gap Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 39 (1) (2017)
Radu Timofte, Junseok Kwon, Luc Van Gool
PICASO: PIxel correspondences and SOft match selection for real-time tracking. Comput. Vis. Image Underst. 153 (2016)
Junseok Kwon, Ralf Dragon, Luc Van Gool
Tracking by switching state space models. Comput. Vis. Image Underst. 153 (2016)
Junseok Kwon, Ralf Dragon, Luc Van Gool
Joint Tracking and Ground Plane Estimation. IEEE Signal Process. Lett. 23 (11) (2016)
Junseok Kwon, Kyoung Mu Lee
A Unified Framework for Event Summarization and Rare Event Detection from Multiple Views. IEEE Trans. Pattern Anal. Mach. Intell. 37 (9) (2015)
Santiago Manen, Junseok Kwon, Matthieu Guillaumin, Luc Van Gool
Appearances Can Be Deceiving: Learning Visual Tracking from Few Trajectory Annotations. ECCV (5) (2014)
Junseok Kwon, Kyoung Mu Lee
Interval Tracker: Tracking by Interval Analysis. CVPR (2014)
Junseok Kwon, Junha Roh, Kyoung Mu Lee, Luc Van Gool
Robust Visual Tracking with Double Bounding Box Model. ECCV (1) (2014)
Junseok Kwon, Kyoung Mu Lee
Tracking by Sampling and IntegratingMultiple Trackers. IEEE Trans. Pattern Anal. Mach. Intell. 36 (7) (2014)
Junseok Kwon, Kyoung Mu Lee
Minimum Uncertainty Gap for Robust Visual Tracking. CVPR (2013)
Junha Roh, Dong Woo Park, Junseok Kwon, Kyoung Mu Lee
Visual tracking using the joint inference of target state and segment-based appearance models. APSIPA (2013)
Junseok Kwon, Kyoung Mu Lee
Wang-Landau Monte Carlo-Based Tracking Methods for Abrupt Motions. IEEE Trans. Pattern Anal. Mach. Intell. 35 (4) (2013)
Junseok Kwon, Kyoung Mu Lee
Highly Nonrigid Object Tracking via Patch-Based Dynamic Appearance Modeling. IEEE Trans. Pattern Anal. Mach. Intell. 35 (10) (2013)
Junseok Kwon, Kyoung Mu Lee
A unified framework for event summarization and rare event detection. CVPR (2012)
Dong Woo Park, Junseok Kwon, Kyoung Mu Lee
Robust visual tracking using autoregressive hidden Markov Model. CVPR (2012)
Junseok Kwon, Kyoung Mu Lee
Tracking by Sampling Trackers. ICCV (2011)
Junseok Kwon, Kyoung Mu Lee
Visual tracking decomposition. CVPR (2010)
Junseok Kwon, Kyoung Mu Lee
Simultaneous video synchronization and rare event detection via Cross-Entropy Monte Carlo optimization. ICCV Workshops (2009)
Junseok Kwon, Kyoung Mu Lee
Tracking of a non-rigid object via patch-based dynamic appearance modeling and adaptive Basin Hopping Monte Carlo sampling. CVPR (2009)
Junseok Kwon, Kyoung Mu Lee
Tracking of Abrupt Motion Using Wang-Landau Monte Carlo Estimation. ECCV (1) (2008)