Junseok Kwon

IEEE Trans. Neural Networks Learn. Syst., July, 2024

End-to-end metric learning from corrupted images using triplet dimensionality reduction loss.

[BibT_eX]

[DOI]

JuHyeon Park

Jin Hong

Expert Syst. Appl., March, 2024

Sampling based spherical transformer for 360 degree image classification.

[BibT_eX]

[DOI]

Raehyuk Jung

Expert Syst. Appl., March, 2024

Satellite Image Dehazing Based on Dual Frequency Pass Networks.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2024

SOTA: Sequential Optimal Transport Approximation for Visual Tracking in Wild Scenario.

[BibT_eX]

[DOI]

IEEE Access, 2024

POTF: Prompt-based Object-centric Tensorial Field.

[BibT_eX]

[DOI]

Seonghak Lee

Jisoo Park

Proceedings of the 15th International Conference on Information and Communication Technology Convergence, 2024

Uncertainty Calibration with Energy Based Instance-Wise Scaling in the Wild Dataset.

[BibT_eX]

[DOI]

Mijoo Kim

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

AttSec: protein secondary structure prediction by capturing local patterns from attention map.

[BibT_eX]

[DOI]

BMC Bioinform., December, 2023

Localized curvature-based combinatorial subgraph sampling for large-scale graphs.

[BibT_eX]

[DOI]

Pattern Recognit., July, 2023

Self-Parameter Distillation Dehazing.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2023

Dual Gradient Based Snow Attentive Desnowing.

[BibT_eX]

[DOI]

IEEE Access, 2023

Deep Dehazing Powered by Image Processing Network.

[BibT_eX]

[DOI]

Jinhee Park

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Stagemix video generation using face and body keypoints detection.

[BibT_eX]

[DOI]

Multim. Tools Appl., November, 2022

Style transfer with target feature palette and attention coloring.

[BibT_eX]

[DOI]

Suhyeon Ha

Multim. Tools Appl., November, 2022

Deep Illumination-Aware Dehazing With Low-Light and Detail Enhancement.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2022

Wasserstein distributional harvesting for highly dense 3D point clouds.

[BibT_eX]

[DOI]

Pattern Recognit., 2022

Wasserstein approximate bayesian computation for visual tracking.

[BibT_eX]

[DOI]

Jinhee Park

Pattern Recognit., 2022

SphereGAN: Sphere Generative Adversarial Network Based on Geometric Moment Matching and its Applications.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Deep-plane sweep generative adversarial network for consistent multi-view depth estimation.

[BibT_eX]

[DOI]

Mach. Vis. Appl., 2022

Adversarial attack can help visual tracking.

[BibT_eX]

[DOI]

Multim. Tools Appl., 2022

Riemannian submanifold framework for log-Euclidean metric learning on symmetric positive definite manifolds.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2022

Optimal visual tracking using Wasserstein transport proposals.

[BibT_eX]

[DOI]

Jin Hong

Expert Syst. Appl., 2022

Spherical Transformer.

[BibT_eX]

[DOI]

Raehyuk Jung

CoRR, 2022

Self-Augmentation Based on Noise-Robust Probabilistic Model for Noisy Labels.

[BibT_eX]

[DOI]

Byoung Woo Park

IEEE Access, 2022

Orthogonal Single-Target Tracking.

[BibT_eX]

[DOI]

IEEE Access, 2022

Visual Tracking by Adaptive Continual Meta-Learning.

[BibT_eX]

[DOI]

IEEE Access, 2022

Densely-packed Object Detection via Hard Negative-Aware Anchor Attention.

[BibT_eX]

[DOI]

Jinwook Paeng

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Riemannian Neural SDE: Learning Stochastic Representations on Manifolds.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning to Intrinsic Image Filter for Instagram Filter Removal.

[BibT_eX]

[DOI]

Seohyeon Lee

Proceedings of the 13th International Conference on Information and Communication Technology Convergence, 2022

B-Cell Linear Epitope Prediction Using Transformer Encoder.

[BibT_eX]

[DOI]

Jinhee Park

Proceedings of the 13th International Conference on Information and Communication Technology Convergence, 2022

Balanced Data Augmentation of Object Detection Via Boot-strapping.

[BibT_eX]

[DOI]

Jinwook Paeng

Proceedings of the 13th International Conference on Information and Communication Technology Convergence, 2022

Neural Markov Controlled SDE: Stochastic Optimization for Continuous-Time Data.

[BibT_eX]

[DOI]

Kyungjae Lee

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Pixel-Wise Wasserstein Autoencoder for Highly Generative Dehazing.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2021

Abnormal event detection by variation matching.

[BibT_eX]

[DOI]

Mach. Vis. Appl., 2021

Robust person re-identification via graph convolution networks.

[BibT_eX]

[DOI]

Multim. Tools Appl., 2021

Graph visual tracking using conditional uncertainty minimization and minibatch Monte Carlo inference.

[BibT_eX]

[DOI]

Inf. Sci., 2021

Visual tracking using interactive factorial hidden Markov models.

[BibT_eX]

[DOI]

Jinwook Paeng

IET Signal Process., 2021

Controllable Image Dataset Construction Using Conditionally Transformed Inputs in Generative Adversarial Networks.

[BibT_eX]

[DOI]

Farkhod Makhmudkhujaev

In Kyu Park

IEEE Access, 2021

Automatic Stylized Plaid Check Pattern Try-on.

[BibT_eX]

[DOI]

Ji Soo Kim

Jisoo Park

Proceedings of the International Conference on Information and Communication Technology Convergence, 2021

Dog Noseprint Identification Algorithm.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Information Networking, 2021

Generative Adversarial Networks for Markovian Temporal Dynamics: Stochastic Continuous Data Generation.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Wasserstein Distributional Normalization For Robust Distributional Certification of Noisy Labeled Data.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Filter Pruning Via Softmax Attention.

[BibT_eX]

[DOI]

Hyeseong Kim

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2020

Robust visual tracking based on variational auto-encoding Markov chain Monte Carlo.

[BibT_eX]

[DOI]

Inf. Sci., 2020

Particle swarm optimization-Markov Chain Monte Carlo for accurate visual tracking with adaptive template update.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2020

Deep Diffusion-Invariant Wasserstein Distributional Classification.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Upright Adjustment With Graph Convolutional Networks.

[BibT_eX]

[DOI]

Raehyuk Jung

Proceedings of the IEEE International Conference on Image Processing, 2020

DALE : Dark Region-Aware Low-light Image Enhancement.

[BibT_eX]

[DOI]

Dokyeong Kwon

Proceedings of the 31st British Machine Vision Conference 2020, 2020

Visual Tracking by TridentAlign and Context Embedding.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

2019

Small object segmentation with fully convolutional network based on overlapping domain decomposition.

[BibT_eX]

[DOI]

Mach. Vis. Appl., 2019

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

[BibT_eX]

[DOI]

J. Math. Imaging Vis., 2019

Orthogonal object proposal and its application.

[BibT_eX]

[DOI]

IET Comput. Vis., 2019

Robust visual tracking with adaptive initial configuration and likelihood landscape analysis.

[BibT_eX]

[DOI]

IET Comput. Vis., 2019

Deep ensemble network with explicit complementary model for accuracy-balanced classification.

[BibT_eX]

[DOI]

CoRR, 2019

Adaptive Regularization via Residual Smoothing in Deep Learning Optimization.

[BibT_eX]

[DOI]

Junghee Cho

Byung-Woo Hong

IEEE Access, 2019

Depth-Controllable Very Deep Super-Resolution Network.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2019

Low-Lightgan: Low-Light Enhancement Via Advanced Generative Adversarial Network With Task-Driven Training.

[BibT_eX]

[DOI]

Dokyeong Kwon

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Multi-Domain Attentive Detection Network.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Learning to Remember Past to Predict Future for Visual Tracking.

[BibT_eX]

[DOI]

Sungyong Baik

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

3D Point Cloud Generative Adversarial Network Based on Tree Structured Graph Convolutions.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Deep Meta Learning for Real-Time Target-Aware Visual Tracking.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Sphere Generative Adversarial Network Based on Geometric Moment Matching.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Bidirectional Deep Residual learning for Haze Removal.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018

Uncertainty Calibrated Markov Chain Monte Carlo Sampler for Visual Tracking Based on Multi-shape Posterior.

[BibT_eX]

[DOI]

J. Math. Imaging Vis., 2018

Visual tracking based on edge field with object proposal association.

[BibT_eX]

[DOI]

Hansung Lee

Image Vis. Comput., 2018

Real-time visual tracking by deep reinforced decision making.

[BibT_eX]

[DOI]

Comput. Vis. Image Underst., 2018

Low-Complexity Online Model Selection with Lyapunov Control for Reward Maximization in Stabilized Real-Time Deep Learning Platforms.

[BibT_eX]

[DOI]

Dohyun Kim

Joongheon Kim

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Adaptive Patch Based Convolutional Neural Network for Robust Dehazing.

[BibT_eX]

[DOI]

Suhyeon Ha

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

2017

Adaptive Visual Tracking with Minimum Uncertainty Gap Estimation.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2017

Leveraging observation uncertainty for robust visual tracking.

[BibT_eX]

[DOI]

Radu Timofte

Comput. Vis. Image Underst., 2017

Deep Meta Learning for Real-Time Visual Tracking based on Target-Specific Feature Space.

[BibT_eX]

[DOI]

CoRR, 2017

Visual Tracking by Reinforced Decision Making.

[BibT_eX]

[DOI]

CoRR, 2017

Robust Pixel-wise Dehazing Algorithm based on Advanced Haze-Relevant Features.

[BibT_eX]

[DOI]

Proceedings of the British Machine Vision Conference 2017, 2017

2016

Joint Tracking and Ground Plane Estimation.

[BibT_eX]

[DOI]

Ralf Dragon

IEEE Signal Process. Lett., 2016

PICASO: PIxel correspondences and SOft match selection for real-time tracking.

[BibT_eX]

[DOI]

Radu Timofte

Comput. Vis. Image Underst., 2016

Tracking by switching state space models.

[BibT_eX]

[DOI]

Ralf Dragon

Comput. Vis. Image Underst., 2016

2015

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

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2015

2014

Tracking by Sampling and IntegratingMultiple Trackers.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2014

Appearances Can Be Deceiving: Learning Visual Tracking from Few Trajectory Annotations.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2014, 2014

Robust Visual Tracking with Double Bounding Box Model.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2014, 2014

Interval Tracker: Tracking by Interval Analysis.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

Highly Nonrigid Object Tracking via Patch-Based Dynamic Appearance Modeling.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2013

Wang-Landau Monte Carlo-Based Tracking Methods for Abrupt Motions.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2013

Minimum Uncertainty Gap for Robust Visual Tracking.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Visual tracking using the joint inference of target state and segment-based appearance models.

[BibT_eX]

[DOI]

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2013

2012

Robust visual tracking using autoregressive hidden Markov Model.

[BibT_eX]

[DOI]

Dong Woo Park

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

A unified framework for event summarization and rare event detection.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011

Tracking by Sampling Trackers.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2011

2010

Visual tracking decomposition.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009

Simultaneous video synchronization and rare event detection via Cross-Entropy Monte Carlo optimization.

[BibT_eX]

[DOI]

Proceedings of the 12th IEEE International Conference on Computer Vision Workshops, 2009

Tracking of a non-rigid object via patch-based dynamic appearance modeling and adaptive Basin Hopping Monte Carlo sampling.

[BibT_eX]

[DOI]

Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008

Tracking of Abrupt Motion Using Wang-Landau Monte Carlo Estimation.

[BibT_eX]

[DOI]