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Junseok Kwon
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2020 – today
- 2024
- [j47]Seonghak Lee, Jisoo Park, Radu Timofte
, Junseok Kwon
SOTA: Sequential Optimal Transport Approximation for Visual Tracking in Wild Scenario. IEEE Access 12: 177028-177037 (2024) - [j46]Sungmin Cho, Raehyuk Jung, Junseok Kwon
Sampling based spherical transformer for 360 degree image classification. Expert Syst. Appl. 238(Part B): 121853 (2024) - [j45]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): 122064 (2024) - [j44]Guisik Kim
Satellite Image Dehazing Based on Dual Frequency Pass Networks. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j43]Dong Wook Shu
Hierarchical Bidirected Graph Convolutions for Large-Scale 3-D Point Cloud Place Recognition. IEEE Trans. Neural Networks Learn. Syst. 35(7): 9651-9662 (2024) - [c40]Mijoo Kim
Uncertainty Calibration with Energy Based Instance-Wise Scaling in the Wild Dataset. ECCV (46) 2024: 232-248 - [i11]Raehyuk Jung, Sungmin Cho, Junseok Kwon:
Upright adjustment with graph convolutional networks. CoRR abs/2406.00263 (2024) - [i10]Mijoo Kim, Junseok Kwon:
Uncertainty Calibration with Energy Based Instance-wise Scaling in the Wild Dataset. CoRR abs/2407.12330 (2024) - 2023
- [j42]Guisik Kim
Dual Gradient Based Snow Attentive Desnowing. IEEE Access 11: 26086-26098 (2023) - [j41]Youjin Kim, Junseok Kwon:
AttSec: protein secondary structure prediction by capturing local patterns from attention map. BMC Bioinform. 24(1): 183 (2023) - [j40]Dong Wook Shu, Youjin Kim, Junseok Kwon
Localized curvature-based combinatorial subgraph sampling for large-scale graphs. Pattern Recognit. 139: 109475 (2023) - [j39]Guisik Kim
Self-Parameter Distillation Dehazing. IEEE Trans. Image Process. 32: 631-642 (2023) - [c39]Guisik Kim, Jinhee Park
Deep Dehazing Powered by Image Processing Network. CVPR Workshops 2023: 1209-1218 - 2022
- [j38]Janghoon Choi, Sungyong Baik
Visual Tracking by Adaptive Continual Meta-Learning. IEEE Access 10: 9022-9035 (2022) - [j37]Youjin Kim, Junseok Kwon
Orthogonal Single-Target Tracking. IEEE Access 10: 33527-33536 (2022) - [j36]Byoung Woo Park, Sung Woo Park, Junseok Kwon
Self-Augmentation Based on Noise-Robust Probabilistic Model for Noisy Labels. IEEE Access 10: 116141-116151 (2022) - [j35]Sung Woo Park
Riemannian submanifold framework for log-Euclidean metric learning on symmetric positive definite manifolds. Expert Syst. Appl. 202: 117270 (2022) - [j34]Jin Hong, Junseok Kwon
Optimal visual tracking using Wasserstein transport proposals. Expert Syst. Appl. 209: 118251 (2022) - [j33]Sungmin Cho, Hyeseong Kim, Ji Soo Kim, Hyomin Kim, Junseok Kwon
Adversarial attack can help visual tracking. Multim. Tools Appl. 81(24): 35283-35292 (2022) - [j32]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): 38531-38542 (2022) - [j31]Suhyeon Ha, Guisik Kim
Style transfer with target feature palette and attention coloring. Multim. Tools Appl. 81(27): 39675-39694 (2022) - [j30]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): 5 (2022) - [j29]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): 1566-1580 (2022) - [j28]Jinhee Park
Wasserstein approximate bayesian computation for visual tracking. Pattern Recognit. 131: 108905 (2022) - [j27]Dong Wook Shu, Sung Woo Park, Junseok Kwon:
Wasserstein distributional harvesting for highly dense 3D point clouds. Pattern Recognit. 132: 108978 (2022) - [j26]Guisik Kim
Deep Illumination-Aware Dehazing With Low-Light and Detail Enhancement. IEEE Trans. Intell. Transp. Syst. 23(3): 2494-2508 (2022) - [c38]Sung Woo Park, Kyungjae Lee, Junseok Kwon:
Neural Markov Controlled SDE: Stochastic Optimization for Continuous-Time Data. ICLR 2022 - [c37]Sungmin Cho
Balanced Data Augmentation of Object Detection Via Boot-strapping. ICTC 2022: 1088-1090 - [c36]Youjin Kim, Jinhee Park, Junseok Kwon:
B-Cell Linear Epitope Prediction Using Transformer Encoder. ICTC 2022: 1091-1093 - [c35]Seohyeon Lee, Guisik Kim, Junseok Kwon:
Learning to Intrinsic Image Filter for Instagram Filter Removal. ICTC 2022: 1094-1096 - [c34]Sung Woo Park, Hyomin Kim, Kyungjae Lee, Junseok Kwon:
Riemannian Neural SDE: Learning Stochastic Representations on Manifolds. NeurIPS 2022 - [c33]Sungmin Cho
Densely-packed Object Detection via Hard Negative-Aware Anchor Attention. WACV 2022: 1401-1410 - [i9]Sungmin Cho, Raehyuk Jung, Junseok Kwon:
Spherical Transformer. CoRR abs/2202.04942 (2022) - 2021
- [j25]Farkhod Makhmudkhujaev
Controllable Image Dataset Construction Using Conditionally Transformed Inputs in Generative Adversarial Networks. IEEE Access 9: 144699-144712 (2021) - [j24]Jinwook Paeng, Junseok Kwon:
Visual tracking using interactive factorial hidden Markov models. IET Signal Process. 15(6): 365-374 (2021) - [j23]Junseok Kwon:
Graph visual tracking using conditional uncertainty minimization and minibatch Monte Carlo inference. Inf. Sci. 574: 363-376 (2021) - [j22]Guisik Kim
Robust person re-identification via graph convolution networks. Multim. Tools Appl. 80(19): 29129-29138 (2021) - [j21]Sungmin Cho, Junseok Kwon
Abnormal event detection by variation matching. Mach. Vis. Appl. 32(4): 80 (2021) - [j20]Guisik Kim
Pixel-Wise Wasserstein Autoencoder for Highly Generative Dehazing. IEEE Trans. Image Process. 30: 5452-5462 (2021) - [c32]Sungmin Cho
Filter Pruning Via Softmax Attention. ICIP 2021: 3507-3511 - [c31]Sung Woo Park, Junseok Kwon:
Wasserstein Distributional Normalization For Robust Distributional Certification of Noisy Labeled Data. ICML 2021: 8381-8390 - [c30]Sung Woo Park, Dong Wook Shu, Junseok Kwon:
Generative Adversarial Networks for Markovian Temporal Dynamics: Stochastic Continuous Data Generation. ICML 2021: 8413-8421 - [c29]Sungmin Cho, Jinwook Paeng, Taehong Kim, Chanil Kim, Ji Soo Kim, Hyeseong Kim, Junseok Kwon:
Dog Noseprint Identification Algorithm. ICOIN 2021: 798-800 - [c28]Ji Soo Kim, Jisoo Park, Junseok Kwon:
Automatic Stylized Plaid Check Pattern Try-on. ICTC 2021: 1703-1706 - [i8]Suhyeon Ha, Guisik Kim, Junseok Kwon:
Style Transfer with Target Feature Palette and Attention Coloring. CoRR abs/2111.04028 (2021) - 2020
- [j19]Junseok Kwon
Particle swarm optimization-Markov Chain Monte Carlo for accurate visual tracking with adaptive template update. Appl. Soft Comput. 97(Part B): 105443 (2020) - [j18]Junseok Kwon
Robust visual tracking based on variational auto-encoding Markov chain Monte Carlo. Inf. Sci. 512: 1308-1323 (2020) - [c27]Janghoon Choi, Junseok Kwon, Kyoung Mu Lee:
Visual Tracking by TridentAlign and Context Embedding. ACCV (2) 2020: 504-520 - [c26]Dokyeong Kwon, Guisik Kim, Junseok Kwon:
DALE : Dark Region-Aware Low-light Image Enhancement. BMVC 2020 - [c25]Raehyuk Jung, Sungmin Cho
Upright Adjustment With Graph Convolutional Networks. ICIP 2020: 1058-1062 - [c24]Sung Woo Park, Dong Wook Shu, Junseok Kwon:
Deep Diffusion-Invariant Wasserstein Distributional Classification. NeurIPS 2020 - [i7]Janghoon Choi
Visual Tracking by TridentAlign and Context Embedding. CoRR abs/2007.06887 (2020) - [i6]Dokyeong Kwon, Guisik Kim, Junseok Kwon:
DALE : Dark Region-Aware Low-light Image Enhancement. CoRR abs/2008.12493 (2020)
2010 – 2019
- 2019
- [j17]Junghee Cho, Junseok Kwon, Byung-Woo Hong
Adaptive Regularization via Residual Smoothing in Deep Learning Optimization. IEEE Access 7: 122889-122899 (2019) - [j16]Guisik Kim
Robust visual tracking with adaptive initial configuration and likelihood landscape analysis. IET Comput. Vis. 13(1): 1-7 (2019) - [j15]Sung Woo Park, Junseok Kwon:
Orthogonal object proposal and its application. IET Comput. Vis. 13(4): 420-427 (2019) - [j14]Junseok Kwon:
Rare-Event Detection by Quasi-Wang-Landau Monte Carlo Sampling with Approximate Bayesian Computation. J. Math. Imaging Vis. 61(9): 1258-1275 (2019) - [j13]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): 707-716 (2019) - [c23]Guisik Kim, Jinhee Park, Suhyeon Ha, Junseok Kwon:
Bidirectional Deep Residual learning for Haze Removal. CVPR Workshops 2019: 46-54 - [c22]Sung Woo Park, Junseok Kwon:
Sphere Generative Adversarial Network Based on Geometric Moment Matching. CVPR 2019: 4292-4301 - [c21]Janghoon Choi
Deep Meta Learning for Real-Time Target-Aware Visual Tracking. ICCV 2019: 911-920 - [c20]Dong Wook Shu, Sung Woo Park, Junseok Kwon:
3D Point Cloud Generative Adversarial Network Based on Tree Structured Graph Convolutions. ICCV 2019: 3858-3867 - [c19]Sungmin Cho
Multi-Domain Attentive Detection Network. ICIP 2019: 2194-2198 - [c18]Guisik Kim
Low-Lightgan: Low-Light Enhancement Via Advanced Generative Adversarial Network With Task-Driven Training. ICIP 2019: 2811-2815 - [c17]Sungyong Baik, Junseok Kwon, Kyoung Mu Lee:
Learning to Remember Past to Predict Future for Visual Tracking. ICIP 2019: 3068-3072 - [c16]Dohyun Kim, Joongheon Kim, Junseok Kwon, Tae-Hyung Kim:
Depth-Controllable Very Deep Super-Resolution Network. IJCNN 2019: 1-8 - [i5]Dong Wook Shu, Sung Woo Park, Junseok Kwon:
3D Point Cloud Generative Adversarial Network Based on Tree Structured Graph Convolutions. CoRR abs/1905.06292 (2019) - [i4]Junghee Cho, Junseok Kwon, Byung-Woo Hong:
Adaptive Regularization via Residual Smoothing in Deep Learning Optimization. CoRR abs/1907.09750 (2019) - [i3]Dohyun Kim, Kyeorye Lee, Jiyeon Kim, Junseok Kwon, Joongheon Kim:
Deep ensemble network with explicit complementary model for accuracy-balanced classification. CoRR abs/1908.03671 (2019) - 2018
- [j12]Janghoon Choi
Real-time visual tracking by deep reinforced decision making. Comput. Vis. Image Underst. 171: 10-19 (2018) - [j11]Junseok Kwon
Visual tracking based on edge field with object proposal association. Image Vis. Comput. 69: 22-32 (2018) - [j10]Junseok Kwon:
Uncertainty Calibrated Markov Chain Monte Carlo Sampler for Visual Tracking Based on Multi-shape Posterior. J. Math. Imaging Vis. 60(5): 681-691 (2018) - [c15]Guisik Kim
Adaptive Patch Based Convolutional Neural Network for Robust Dehazing. ICIP 2018: 2845-2849 - [c14]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: 4363-4368 - 2017
- [j9]Junseok Kwon
Leveraging observation uncertainty for robust visual tracking. Comput. Vis. Image Underst. 158: 62-71 (2017) - [j8]Junseok Kwon
Adaptive Visual Tracking with Minimum Uncertainty Gap Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 39(1): 18-31 (2017) - [c13]Guisik Kim, Junseok Kwon:
Robust Pixel-wise Dehazing Algorithm based on Advanced Haze-Relevant Features. BMVC 2017 - [i2]Janghoon Choi, Junseok Kwon, Kyoung Mu Lee:
Visual Tracking by Reinforced Decision Making. CoRR abs/1702.06291 (2017) - [i1]Janghoon Choi
Deep Meta Learning for Real-Time Visual Tracking based on Target-Specific Feature Space. CoRR abs/1712.09153 (2017) - 2016
- [j7]Junseok Kwon
Tracking by switching state space models. Comput. Vis. Image Underst. 153: 29-36 (2016) - [j6]Radu Timofte
PICASO: PIxel correspondences and SOft match selection for real-time tracking. Comput. Vis. Image Underst. 153: 151-162 (2016) - [j5]Junseok Kwon
Joint Tracking and Ground Plane Estimation. IEEE Signal Process. Lett. 23(11): 1514-1517 (2016) - 2015
- [j4]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): 1737-1750 (2015) - 2014
- [j3]Junseok Kwon, Kyoung Mu Lee:
Tracking by Sampling and IntegratingMultiple Trackers. IEEE Trans. Pattern Anal. Mach. Intell. 36(7): 1428-1441 (2014) - [c12]Junseok Kwon
Interval Tracker: Tracking by Interval Analysis. CVPR 2014: 3494-3501 - [c11]Santiago Manen, Junseok Kwon
Appearances Can Be Deceiving: Learning Visual Tracking from Few Trajectory Annotations. ECCV (5) 2014: 157-172 - [c10]Junseok Kwon
Robust Visual Tracking with Double Bounding Box Model. ECCV (1) 2014: 377-392 - 2013
- [j2]Junseok Kwon
Wang-Landau Monte Carlo-Based Tracking Methods for Abrupt Motions. IEEE Trans. Pattern Anal. Mach. Intell. 35(4): 1011-1024 (2013) - [j1]Junseok Kwon
Highly Nonrigid Object Tracking via Patch-Based Dynamic Appearance Modeling. IEEE Trans. Pattern Anal. Mach. Intell. 35(10): 2427-2441 (2013) - [c9]Junha Roh, Dong Woo Park, Junseok Kwon
Visual tracking using the joint inference of target state and segment-based appearance models. APSIPA 2013: 1-4 - [c8]Junseok Kwon
Minimum Uncertainty Gap for Robust Visual Tracking. CVPR 2013: 2355-2362 - 2012
- [c7]Junseok Kwon
A unified framework for event summarization and rare event detection. CVPR 2012: 1266-1273 - [c6]Dong Woo Park, Junseok Kwon
Robust visual tracking using autoregressive hidden Markov Model. CVPR 2012: 1964-1971 - 2011
- [c5]Junseok Kwon
Tracking by Sampling Trackers. ICCV 2011: 1195-1202 - 2010
- [c4]Junseok Kwon
Visual tracking decomposition. CVPR 2010: 1269-1276
2000 – 2009
- 2009
- [c3]Junseok Kwon
Tracking of a non-rigid object via patch-based dynamic appearance modeling and adaptive Basin Hopping Monte Carlo sampling. CVPR 2009: 1208-1215 - [c2]Junseok Kwon, Kyoung Mu Lee:
Simultaneous video synchronization and rare event detection via Cross-Entropy Monte Carlo optimization. ICCV Workshops 2009: 1322-1329 - 2008
- [c1]Junseok Kwon
Tracking of Abrupt Motion Using Wang-Landau Monte Carlo Estimation. ECCV (1) 2008: 387-400
Coauthor Index
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last updated on 2024-12-23 19:33 CET by the dblp team
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