Junseok Kwon

114 papers A* 18A 3B 9C 1Journal 64Unranked 19
YearRankTypeTitle / Venue / Authors
2026 J jnl
Confidence Controls Deep Metric Learning.
Mach. Learn.
Jinhee Park, Hee Bin Yoo, Byoung-Tak Zhang, Junseok Kwon
2026 A* conf
Neural Collapse-Informed Initialization with Perturbation Injection in Classification-based Metric Learning.
AAAI
Jinhee Park, Hee Bin Yoo, Minjun Kim, Byoung-Tak Zhang, Junseok Kwon
2025 J jnl
ABM-LoRA: Activation Boundary Matching for Fast Convergence in Low-Rank Adaptation.
CoRR
Dongha Lee, Jinhee Park, Minjun Kim, Junseok Kwon
2025 A* conf
Deep Disentangled Metric Learning.
AAAI
Jinhee Park, Jisoo Park, Dagyeong Na, Junseok Kwon
2025 J jnl
Enhancing Global and Local Context Modeling in Time Series Through Multi-Step Transformer-Diffusion Interaction.
IEEE Access
Dagyeong Na, Jinho Kang, Byoungwoo Kang, Junseok Kwon
2025 C conf
Lightweight Wasserstein Audio-Visual Model for Unified Speech Enhancement and Separation.
ASRU
Jisoo Park, Seonghak Lee, Guisik Kim, Taewoo Kim, Junseok Kwon
2025 J jnl
Lightweight Wasserstein Audio-Visual Model for Unified Speech Enhancement and Separation.
CoRR
Jisoo Park, Seonghak Lee, Guisik Kim, Taewoo Kim, Junseok Kwon
2025 B conf
Occlusion-Robust Multi-Object Tracking with Adaptive Feature Management and Motion Compensation.
AVSS
Jin Hong, Yoojin Han, Junseok Kwon
2025 — conf
Physics-Informed Neural Operators for Tissue Elasticity Reconstruction.
MICCAI (10)
Youjin Kim, Jae Yong Lee, Junseok Kwon
2025 J jnl
Real-Aware Residual Model Merging for Deepfake Detection.
CoRR
Jinhee Park, Guisik Kim, Choongsang Cho, Junseok Kwon
2025 J jnl
Rethinking Metric Learning: Enhancing Generalization to Unseen Classes.
IEEE Access
Jinhee Park, Hee Bin Yoo, Byoung-Tak Zhang, Junseok Kwon
2025 A* conf
Towards Generalizable Time Series Forecasting Via IB-Regularized Transformer-Diffusion.
ICDM
Dagyeong Na, Jinho Kang, Junseok Kwon
2024 J jnl
End-to-end metric learning from corrupted images using triplet dimensionality reduction loss.
Expert Syst. Appl.
Juhyeon Park, Jin Hong, Junseok Kwon
2024 J jnl
Hierarchical Bidirected Graph Convolutions for Large-Scale 3-D Point Cloud Place Recognition.
IEEE Trans. Neural Networks Learn. Syst.
Dong Wook Shu, Junseok Kwon
2024 — conf
MRDiff: Time Series Anomaly Detection Using Multi-level Reconstruction Diffusion.
ICDM (Workshops)
Dagyeong Na, Junseok Kwon
2024 — conf
Optimizing Dataset Distillation Using DATM: Adjusting Learning Rate and Upper Bound.
ECCV Workshops (19)
Minjun Kim, Junhee Cho, Junseok Kwon
2024 — conf
POTF: Prompt-based Object-centric Tensorial Field.
ICTC
Seonghak Lee, Jisoo Park, Junseok Kwon
2024 J jnl
SOTA: Sequential Optimal Transport Approximation for Visual Tracking in Wild Scenario.
IEEE Access
Seonghak Lee, Jisoo Park, Radu Timofte, Junseok Kwon
2024 J jnl
Sampling based spherical transformer for 360 degree image classification.
Expert Syst. Appl.
Sungmin Cho, Raehyuk Jung, Junseok Kwon
2024 J jnl
Satellite Image Dehazing Based on Dual Frequency Pass Networks.
IEEE Geosci. Remote. Sens. Lett.
Guisik Kim, Chungsang Cho, Joohyung Kang, Junseok Kwon
2024 — conf
Satellite Image Dehazing Via Masked Image Modeling and Jigsaw Transformation.
ECCV Workshops (9)
Guisik Kim, Choongsang Cho, Junseok Kwon
2024 — conf
Uncertainty Calibration with Energy Based Instance-Wise Scaling in the Wild Dataset.
ECCV (46)
Mijoo Kim, Junseok Kwon
2024 J jnl
Uncertainty Calibration with Energy Based Instance-wise Scaling in the Wild Dataset.
CoRR
Mijoo Kim, Junseok Kwon
2024 J jnl
Upright adjustment with graph convolutional networks.
CoRR
Raehyuk Jung, Sungmin Cho, Junseok Kwon
2023 J jnl
AttSec: protein secondary structure prediction by capturing local patterns from attention map.
BMC Bioinform.
Youjin Kim, Junseok Kwon
2023 — conf
Deep Dehazing Powered by Image Processing Network.
CVPR Workshops
Guisik Kim, Jinhee Park, Junseok Kwon
2023 J jnl
Dual Gradient Based Snow Attentive Desnowing.
IEEE Access
Guisik Kim, Sungmin Cho, Dokyeong Kwon, Seohyeon Lee, Junseok Kwon
2023 J jnl
Localized curvature-based combinatorial subgraph sampling for large-scale graphs.
Pattern Recognit.
Dong Wook Shu, Youjin Kim, Junseok Kwon
2023 J jnl
Self-Parameter Distillation Dehazing.
IEEE Trans. Image Process.
Guisik Kim, Junseok Kwon
2022 J jnl
Adversarial attack can help visual tracking.
Multim. Tools Appl.
Sungmin Cho, Hyeseong Kim, Ji Soo Kim, Hyomin Kim, Junseok Kwon
2022 — conf
B-Cell Linear Epitope Prediction Using Transformer Encoder.
ICTC
Youjin Kim, Jinhee Park, Junseok Kwon
2022 — conf
Balanced Data Augmentation of Object Detection Via Boot-strapping.
ICTC
Sungmin Cho, Jinwook Paeng, Junseok Kwon
2022 J jnl
Deep Illumination-Aware Dehazing With Low-Light and Detail Enhancement.
IEEE Trans. Intell. Transp. Syst.
Guisik Kim, Junseok Kwon
2022 J jnl
Deep-plane sweep generative adversarial network for consistent multi-view depth estimation.
Mach. Vis. Appl.
Dong Wook Shu, Wonbeom Jang, Heebin Yoo, Hong-Chang Shin, Junseok Kwon
2022 A conf
Densely-packed Object Detection via Hard Negative-Aware Anchor Attention.
WACV
Sungmin Cho, Jinwook Paeng, Junseok Kwon
2022 — conf
Learning to Intrinsic Image Filter for Instagram Filter Removal.
ICTC
Seohyeon Lee, Guisik Kim, Junseok Kwon
2022 A* conf
Neural Markov Controlled SDE: Stochastic Optimization for Continuous-Time Data.
ICLR
Sung Woo Park, Kyungjae Lee, Junseok Kwon
2022 J jnl
Optimal visual tracking using Wasserstein transport proposals.
Expert Syst. Appl.
Jin Hong, Junseok Kwon
2022 J jnl
Orthogonal Single-Target Tracking.
IEEE Access
Youjin Kim, Junseok Kwon
2022 A* conf
Riemannian Neural SDE: Learning Stochastic Representations on Manifolds.
NeurIPS
Sung Woo Park, Hyomin Kim, Kyungjae Lee, Junseok Kwon
2022 J jnl
Riemannian submanifold framework for log-Euclidean metric learning on symmetric positive definite manifolds.
Expert Syst. Appl.
Sung Woo Park, Junseok Kwon
2022 J jnl
Self-Augmentation Based on Noise-Robust Probabilistic Model for Noisy Labels.
IEEE Access
Byoung Woo Park, Sung Woo Park, Junseok Kwon
2022 J jnl
SphereGAN: Sphere Generative Adversarial Network Based on Geometric Moment Matching and its Applications.
IEEE Trans. Pattern Anal. Mach. Intell.
Sung Woo Park, Junseok Kwon
2022 J jnl
Spherical Transformer.
CoRR
Sungmin Cho, Raehyuk Jung, Junseok Kwon
2022 J jnl
Stagemix video generation using face and body keypoints detection.
Multim. Tools Appl.
Minjoon Jung, Seunghyun Lee, Eun-Seon Sim, Min Ho Jo, Yu Jin Lee, Hyebin Choi, Junseok Kwon
2022 J jnl
Style transfer with target feature palette and attention coloring.
Multim. Tools Appl.
Suhyeon Ha, Guisik Kim, Junseok Kwon
2022 J jnl
Visual Tracking by Adaptive Continual Meta-Learning.
IEEE Access
Janghoon Choi, Sungyong Baik, Myungsub Choi, Junseok Kwon, Kyoung Mu Lee
2022 J jnl
Wasserstein approximate bayesian computation for visual tracking.
Pattern Recognit.
Jinhee Park, Junseok Kwon
2022 J jnl
Wasserstein distributional harvesting for highly dense 3D point clouds.
Pattern Recognit.
Dong Wook Shu, Sung Woo Park, Junseok Kwon
2021 J jnl
Abnormal event detection by variation matching.
Mach. Vis. Appl.
Sungmin Cho, Junseok Kwon
2021 — conf
Automatic Stylized Plaid Check Pattern Try-on.
ICTC
Ji Soo Kim, Jisoo Park, Junseok Kwon
2021 J jnl
Controllable Image Dataset Construction Using Conditionally Transformed Inputs in Generative Adversarial Networks.
IEEE Access
Farkhod Makhmudkhujaev, Junseok Kwon, In Kyu Park
2021 — conf
Dog Noseprint Identification Algorithm.
ICOIN
Sungmin Cho, Jinwook Paeng, Taehong Kim, Chanil Kim, Ji Soo Kim, Hyeseong Kim, Junseok Kwon
2021 B conf
Filter Pruning Via Softmax Attention.
ICIP
Sungmin Cho, Hyeseong Kim, Junseok Kwon
2021 A* conf
Generative Adversarial Networks for Markovian Temporal Dynamics: Stochastic Continuous Data Generation.
ICML
Sung Woo Park, Dong Wook Shu, Junseok Kwon
2021 J jnl
Graph visual tracking using conditional uncertainty minimization and minibatch Monte Carlo inference.
Inf. Sci.
Junseok Kwon
2021 J jnl
Pixel-Wise Wasserstein Autoencoder for Highly Generative Dehazing.
IEEE Trans. Image Process.
Guisik Kim, Sung Woo Park, Junseok Kwon
2021 J jnl
Robust person re-identification via graph convolution networks.
Multim. Tools Appl.
Guisik Kim, Dong Wook Shu, Junseok Kwon
2021 J jnl
Style Transfer with Target Feature Palette and Attention Coloring.
CoRR
Suhyeon Ha, Guisik Kim, Junseok Kwon
2021 J jnl
Visual tracking using interactive factorial hidden Markov models.
IET Signal Process.
Jinwook Paeng, Junseok Kwon
2021 A* conf
Wasserstein Distributional Normalization For Robust Distributional Certification of Noisy Labeled Data.
ICML
Sung Woo Park, Junseok Kwon
2020 A conf
DALE : Dark Region-Aware Low-light Image Enhancement.
BMVC
Dokyeong Kwon, Guisik Kim, Junseok Kwon
2020 J jnl
DALE : Dark Region-Aware Low-light Image Enhancement.
CoRR
Dokyeong Kwon, Guisik Kim, Junseok Kwon
2020 A* conf
Deep Diffusion-Invariant Wasserstein Distributional Classification.
NeurIPS
Sung Woo Park, Dong Wook Shu, Junseok Kwon
2020 J jnl
Particle swarm optimization-Markov Chain Monte Carlo for accurate visual tracking with adaptive template update.
Appl. Soft Comput.
Junseok Kwon
2020 J jnl
Robust visual tracking based on variational auto-encoding Markov chain Monte Carlo.
Inf. Sci.
Junseok Kwon
2020 B conf
Upright Adjustment With Graph Convolutional Networks.
ICIP
Raehyuk Jung, Sungmin Cho, Junseok Kwon
2020 — conf
Visual Tracking by TridentAlign and Context Embedding.
ACCV (2)
Janghoon Choi, Junseok Kwon, Kyoung Mu Lee
2020 J jnl
Visual Tracking by TridentAlign and Context Embedding.
CoRR
Janghoon Choi, Junseok Kwon, Kyoung Mu Lee
2019 A* conf
3D Point Cloud Generative Adversarial Network Based on Tree Structured Graph Convolutions.
ICCV
Dong Wook Shu, Sung Woo Park, Junseok Kwon
2019 J jnl
3D Point Cloud Generative Adversarial Network Based on Tree Structured Graph Convolutions.
CoRR
Dong Wook Shu, Sung Woo Park, Junseok Kwon
2019 J jnl
Adaptive Regularization via Residual Smoothing in Deep Learning Optimization.
IEEE Access
Junghee Cho, Junseok Kwon, Byung-Woo Hong
2019 J jnl
Adaptive Regularization via Residual Smoothing in Deep Learning Optimization.
CoRR
Junghee Cho, Junseok Kwon, Byung-Woo Hong
2019 — conf
Bidirectional Deep Residual learning for Haze Removal.
CVPR Workshops
Guisik Kim, Jinhee Park, Suhyeon Ha, Junseok Kwon
2019 A* conf
Deep Meta Learning for Real-Time Target-Aware Visual Tracking.
ICCV
Janghoon Choi, Junseok Kwon, Kyoung Mu Lee
2019 J jnl
Deep ensemble network with explicit complementary model for accuracy-balanced classification.
CoRR
Dohyun Kim, Kyeorye Lee, Jiyeon Kim, Junseok Kwon, Joongheon Kim
2019 B conf
Depth-Controllable Very Deep Super-Resolution Network.
IJCNN
Dohyun Kim, Joongheon Kim, Junseok Kwon, Tae-Hyung Kim
2019 B conf
Learning to Remember Past to Predict Future for Visual Tracking.
ICIP
Sungyong Baik, Junseok Kwon, Kyoung Mu Lee
2019 B conf
Low-Lightgan: Low-Light Enhancement Via Advanced Generative Adversarial Network With Task-Driven Training.
ICIP
Guisik Kim, Dokyeong Kwon, Junseok Kwon
2019 B conf
Multi-Domain Attentive Detection Network.
ICIP
Sungmin Cho, Bo Won Choi, Do-Hwi Kim, Junseok Kwon
2019 J jnl
Orthogonal object proposal and its application.
IET Comput. Vis.
Sung Woo Park, Junseok Kwon
2019 J jnl
Rare-Event Detection by Quasi-Wang-Landau Monte Carlo Sampling with Approximate Bayesian Computation.
J. Math. Imaging Vis.
Junseok Kwon
2019 J jnl
Robust visual tracking with adaptive initial configuration and likelihood landscape analysis.
IET Comput. Vis.
Guisik Kim, Junseok Kwon
2019 J jnl
Small object segmentation with fully convolutional network based on overlapping domain decomposition.
Mach. Vis. Appl.
Jinhee Park, Dokyeong Kwon, Bo Won Choi, Ga Young Kim, Kwang Yong Kim, Junseok Kwon
2019 A* conf
Sphere Generative Adversarial Network Based on Geometric Moment Matching.
CVPR
Sung Woo Park, Junseok Kwon
2018 B conf
Adaptive Patch Based Convolutional Neural Network for Robust Dehazing.
ICIP
Guisik Kim, Suhyeon Ha, Junseok Kwon
2018 B conf
Low-Complexity Online Model Selection with Lyapunov Control for Reward Maximization in Stabilized Real-Time Deep Learning Platforms.
SMC
Dohyun Kim, Junseok Kwon, Joongheon Kim
2018 J jnl
Real-time visual tracking by deep reinforced decision making.
Comput. Vis. Image Underst.
Janghoon Choi, Junseok Kwon, Kyoung Mu Lee
2018 J jnl
Uncertainty Calibrated Markov Chain Monte Carlo Sampler for Visual Tracking Based on Multi-shape Posterior.
J. Math. Imaging Vis.
Junseok Kwon
2018 J jnl
Visual tracking based on edge field with object proposal association.
Image Vis. Comput.
Junseok Kwon, Hansung Lee
2017 J jnl
Adaptive Visual Tracking with Minimum Uncertainty Gap Estimation.
IEEE Trans. Pattern Anal. Mach. Intell.
Junseok Kwon, Kyoung Mu Lee
2017 J jnl
Deep Meta Learning for Real-Time Visual Tracking based on Target-Specific Feature Space.
CoRR
Janghoon Choi, Junseok Kwon, Kyoung Mu Lee
2017 J jnl
Leveraging observation uncertainty for robust visual tracking.
Comput. Vis. Image Underst.
Junseok Kwon, Radu Timofte, Luc Van Gool
2017 A conf
Robust Pixel-wise Dehazing Algorithm based on Advanced Haze-Relevant Features.
BMVC
Guisik Kim, Junseok Kwon
2017 J jnl
Visual Tracking by Reinforced Decision Making.
CoRR
Janghoon Choi, Junseok Kwon, Kyoung Mu Lee
2016 J jnl
Joint Tracking and Ground Plane Estimation.
IEEE Signal Process. Lett.
Junseok Kwon, Ralf Dragon, Luc Van Gool
2016 J jnl
PICASO: PIxel correspondences and SOft match selection for real-time tracking.
Comput. Vis. Image Underst.
Radu Timofte, Junseok Kwon, Luc Van Gool
2016 J jnl
Tracking by switching state space models.
Comput. Vis. Image Underst.
Junseok Kwon, Ralf Dragon, Luc Van Gool
2015 J jnl
A Unified Framework for Event Summarization and Rare Event Detection from Multiple Views.
IEEE Trans. Pattern Anal. Mach. Intell.
Junseok Kwon, Kyoung Mu Lee
2014 — conf
Appearances Can Be Deceiving: Learning Visual Tracking from Few Trajectory Annotations.
ECCV (5)
Santiago Manen, Junseok Kwon, Matthieu Guillaumin, Luc Van Gool
2014 A* conf
Interval Tracker: Tracking by Interval Analysis.
CVPR
Junseok Kwon, Kyoung Mu Lee
2014 — conf
Robust Visual Tracking with Double Bounding Box Model.
ECCV (1)
Junseok Kwon, Junha Roh, Kyoung Mu Lee, Luc Van Gool
2014 J jnl
Tracking by Sampling and IntegratingMultiple Trackers.
IEEE Trans. Pattern Anal. Mach. Intell.
Junseok Kwon, Kyoung Mu Lee
2013 J jnl
Highly Nonrigid Object Tracking via Patch-Based Dynamic Appearance Modeling.
IEEE Trans. Pattern Anal. Mach. Intell.
Junseok Kwon, Kyoung Mu Lee
2013 A* conf
Minimum Uncertainty Gap for Robust Visual Tracking.
CVPR
Junseok Kwon, Kyoung Mu Lee
2013 — conf
Visual tracking using the joint inference of target state and segment-based appearance models.
APSIPA
Junha Roh, Dong Woo Park, Junseok Kwon, Kyoung Mu Lee
2013 J jnl
Wang-Landau Monte Carlo-Based Tracking Methods for Abrupt Motions.
IEEE Trans. Pattern Anal. Mach. Intell.
Junseok Kwon, Kyoung Mu Lee
2012 A* conf
A unified framework for event summarization and rare event detection.
CVPR
Junseok Kwon, Kyoung Mu Lee
2012 A* conf
Robust visual tracking using autoregressive hidden Markov Model.
CVPR
Dong Woo Park, Junseok Kwon, Kyoung Mu Lee
2011 A* conf
Tracking by Sampling Trackers.
ICCV
Junseok Kwon, Kyoung Mu Lee
2010 A* conf
Visual tracking decomposition.
CVPR
Junseok Kwon, Kyoung Mu Lee
2009 — conf
Simultaneous video synchronization and rare event detection via Cross-Entropy Monte Carlo optimization.
ICCV Workshops
Junseok Kwon, Kyoung Mu Lee
2009 A* conf
Tracking of a non-rigid object via patch-based dynamic appearance modeling and adaptive Basin Hopping Monte Carlo sampling.
CVPR
Junseok Kwon, Kyoung Mu Lee
2008 — conf
Tracking of Abrupt Motion Using Wang-Landau Monte Carlo Estimation.
ECCV (1)
Junseok Kwon, Kyoung Mu Lee