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Junseok Kwon
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2020 – today
- 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
, Chungsang Cho, Joohyung Kang, Junseok Kwon
:
Satellite Image Dehazing Based on Dual Frequency Pass Networks. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j43]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): 9651-9662 (2024) - [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
, Sungmin Cho
, Dokyeong Kwon, Seohyeon Lee
, Junseok Kwon
:
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
, Junseok Kwon
:
Self-Parameter Distillation Dehazing. IEEE Trans. Image Process. 32: 631-642 (2023) - [c39]Guisik Kim, Jinhee Park, Junseok Kwon:
Deep Dehazing Powered by Image Processing Network. CVPR Workshops 2023: 1209-1218 - 2022
- [j38]Janghoon Choi, Sungyong Baik
, Myungsub Choi, Junseok Kwon
, Kyoung Mu Lee
:
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
, Junseok Kwon
:
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
, Junseok Kwon
:
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, Junseok Kwon
:
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
, Junseok Kwon
:
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
, Jinwook Paeng, Junseok Kwon:
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
, Jinwook Paeng, Junseok Kwon:
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
, Junseok Kwon
, In Kyu Park
:
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
, Dong Wook Shu, Junseok Kwon
:
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
, Sung Woo Park, Junseok Kwon
:
Pixel-Wise Wasserstein Autoencoder for Highly Generative Dehazing. IEEE Trans. Image Process. 30: 5452-5462 (2021) - [c32]Sungmin Cho
, Hyeseong Kim, Junseok Kwon:
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
, Junseok Kwon:
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
, Junseok Kwon, Kyoung Mu Lee:
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
, Junseok Kwon:
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
, Junseok Kwon, Kyoung Mu Lee:
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
, Bo Won Choi, Do-Hwi Kim, Junseok Kwon:
Multi-Domain Attentive Detection Network. ICIP 2019: 2194-2198 - [c18]Guisik Kim
, Dokyeong Kwon, Junseok Kwon:
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
, Junseok Kwon
, Kyoung Mu Lee
:
Real-time visual tracking by deep reinforced decision making. Comput. Vis. Image Underst. 171: 10-19 (2018) - [j11]Junseok Kwon
, Hansung Lee
:
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
, Suhyeon Ha, Junseok Kwon:
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
, Radu Timofte
, Luc Van Gool:
Leveraging observation uncertainty for robust visual tracking. Comput. Vis. Image Underst. 158: 62-71 (2017) - [j8]Junseok Kwon
, Kyoung Mu Lee:
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
, Junseok Kwon, Kyoung Mu Lee:
Deep Meta Learning for Real-Time Visual Tracking based on Target-Specific Feature Space. CoRR abs/1712.09153 (2017) - 2016
- [j7]Junseok Kwon
, Ralf Dragon
, Luc Van Gool:
Tracking by switching state space models. Comput. Vis. Image Underst. 153: 29-36 (2016) - [j6]Radu Timofte
, Junseok Kwon
, Luc Van Gool:
PICASO: PIxel correspondences and SOft match selection for real-time tracking. Comput. Vis. Image Underst. 153: 151-162 (2016) - [j5]Junseok Kwon
, Ralf Dragon, Luc Van Gool:
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
, Kyoung Mu Lee:
Interval Tracker: Tracking by Interval Analysis. CVPR 2014: 3494-3501 - [c11]Santiago Manen, Junseok Kwon
, Matthieu Guillaumin, Luc Van Gool:
Appearances Can Be Deceiving: Learning Visual Tracking from Few Trajectory Annotations. ECCV (5) 2014: 157-172 - [c10]Junseok Kwon
, Junha Roh, Kyoung Mu Lee, Luc Van Gool:
Robust Visual Tracking with Double Bounding Box Model. ECCV (1) 2014: 377-392 - 2013
- [j2]Junseok Kwon
, Kyoung Mu Lee:
Wang-Landau Monte Carlo-Based Tracking Methods for Abrupt Motions. IEEE Trans. Pattern Anal. Mach. Intell. 35(4): 1011-1024 (2013) - [j1]Junseok Kwon
, Kyoung Mu Lee:
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
, Kyoung Mu Lee:
Visual tracking using the joint inference of target state and segment-based appearance models. APSIPA 2013: 1-4 - [c8]Junseok Kwon
, Kyoung Mu Lee:
Minimum Uncertainty Gap for Robust Visual Tracking. CVPR 2013: 2355-2362 - 2012
- [c7]Junseok Kwon
, Kyoung Mu Lee:
A unified framework for event summarization and rare event detection. CVPR 2012: 1266-1273 - [c6]Dong Woo Park, Junseok Kwon
, Kyoung Mu Lee:
Robust visual tracking using autoregressive hidden Markov Model. CVPR 2012: 1964-1971 - 2011
- [c5]Junseok Kwon
, Kyoung Mu Lee:
Tracking by Sampling Trackers. ICCV 2011: 1195-1202 - 2010
- [c4]Junseok Kwon
, Kyoung Mu Lee:
Visual tracking decomposition. CVPR 2010: 1269-1276
2000 – 2009
- 2009
- [c3]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: 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
, Kyoung Mu Lee:
Tracking of Abrupt Motion Using Wang-Landau Monte Carlo Estimation. ECCV (1) 2008: 387-400
Coauthor Index
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last updated on 2024-08-23 19:25 CEST by the dblp team
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