Computer Vision Machine Learning Lab

School of Computer Science and Engineering

Graduate School of Artificial Intelligence, Chung-Ang University

221 Hueksuk-Dong, Dongjak-gu, Seoul, 156-756, Korea

Conference Publications (2024)

- Uncertainty Calibration With Energy Based Instance-wise Scaling In the Wild Dataset

Mijoo Kim, and Junseok Kwon, The 18th European Conference on Computer Vision (ECCV), Milano, Italy, 2024 [pdf] [code]

ACK: NRF-2020R1C1C1004907, 2021-0-01341, Artificial Intelligence Graduate School Program

Conference Publications (2023)

- LOAD: Local Attribute Debiasing for Pretrained Vision Models

Seohyeon Lee, Juhyeon Nam, and Junseok Kwon, International Conference on Computer Vision (ICCV) Workshop, Paris, France, 2023

- Deep Dehazing Powered by Image Processing Network

Guisik Kim, Jinhee Park, and Junseok Kwon, Computer Vision and Pattern Recognition (CVPR) Workshop, Vancouver, Canada, 2023  [pdf] 

ACK: Seoul Campus Town Technology R&D Project 

Conference Publications (2022)

- Riemannian Neural SDE: Learning Stochastic Representations on Manifolds

Sung Woo Park, Hyomin Kim, Hyeseong Kim, and Junseok Kwon, International Conference on Learning Representations (ICLR) Workshop on Geometrical and Topological Representation Learning, 2022 [pdf]

ACK: National Program for Excellence in SW (20170001000051001)  

[Extension]

Sung Woo Park, Hyomin Kim,  Kyungjae Lee, and Junseok Kwon, Conference on Neural Information Processing Systems (NeurIPS), 2022 [pdf] [suppl] 

ACK: NRF-2020R1C1C1004907, MCST-R2021040032   

- Learning to Intrinsic Image Filter for Instagram Filter Removal

Seohyeon Lee, Guisik Kim, and Junseok Kwon, International Conference on ICT Convergence (ICTC), Jeju, Korea, Oct. 2022  [pdf]   

- B-Cell Linear Epitope Prediction Using Transformer Encoder

Youjin Kim, Jinhee Park, and Junseok Kwon, International Conference on ICT Convergence (ICTC), Jeju, Korea, Oct. 2022  [pdf]

- Balanced Data Augmentation of Object Detection Via Boot-strapping

Sungmin Cho, Jinwook Paeng, and Junseok Kwon, International Conference on ICT Convergence (ICTC), Jeju, Korea, Oct. 2022  [pdf]     

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

Sung Woo Park, Kyungjae Lee, and Junseok Kwon, International Conference on Learning Representations (ICLR), 2022  [pdf]

ACK: 2021-0-01341, Artificial Intelligence Graduate School Program 

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

Sungmin Cho, Jinwook Paeng, and Junseok Kwon, Winter Conference on Applications of Computer Vision (WACV), 2022  [pdf][code]


Conference Publications (2021)

- Automatic Stylized Plaid Check Pattern Try-on

Jisoo Kim, Jisoo Park, and Junseok Kwon, The 12th International Conference on ICT Convergence (ICTC), Jeju Island, Korea. 2021 [pdf]

ACK: National Program for Excellence in SW (20170001000051001) , LINC+

- Filter Pruning via Softmax Attention 

Sungmin Cho, Hyeseong Kim, and Junseok Kwon, The 28th IEEE International Conference on Image Processing (ICIP), Anchorage, Alaska, USA. 2021 [pdf] [code] 

ACK: National Program for Excellence in SW (20170001000051001) 

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

Sung Woo Park, and Junseok Kwon, The 38th International Conference on Machine Learning (ICML), 2021 [pdf] [suppl] 

ACK: 2021-0-01341, Artificial Intelligence Graduate School Program 

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

Sung Woo Park, Dong Wook Shu, and Junseok Kwon, The 38th International Conference on Machine Learning (ICML), 2021 [pdf] [suppl] 

ACK: 2021-0-01341, Artificial Intelligence Graduate School Program 

- Dog Noseprint Identification Algorithm 

Sungmin Cho, Jinwook Paeng, Taehong Kim, Chanil Kim, Ji Soo Kim, Hyeseong Kim, and Junseok Kwon, The 35th International Conference on Information Networking (ICOIN), 2021 [pdf] 

ACK: IITP-20170001000041001, IITP-2020-2018-0-01799 

Conference Publications (2020)

- Deep Diffusion-Invariant Wasserstein Distributional Classification 

Sung Woo Park, Dong Wook Shu, and Junseok Kwon, The 34th Annual Conference on Neural Information Processing Systems (NeurIPS), 2020 [pdf] [suppl] 

ACK: IITP-2017-0-01780 

- Visual Tracking by TridentAlign and Context Embedding 

Janghoon Choi, Junseok Kwon, Kyoung Mu Lee, Asian Conference on Computer Vision (ACCV), Kyoto, Japan, 2020 [pdf] [code] 

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

Dokyeong Kwon, Guisik Kim, and Junseok Kwon, The 31th British Machine Vision Conference (BMVC), Manchester, UK, 2020 [pdf] [code] 

ACK: CY190032, IITP-2020-2018-0-01799 

- Upright Adjustment with Graph Convolutional Networks 


Raehyuk Jung, Sungmin Cho, and Junseok Kwon, The 27th IEEE International Conference on Image Processing (ICIP), Abu Dhabi, United Arab Emirates, 2020 [pdf] [code]

Conference Publications (2019)


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

Dong Wook Shu*, Sung Woo Park*, and Junseok Kwon, International Conference on Computer Vision (ICCV), Seoul, Korea, 2019

(*equal contribution) [pdf] [video1] [video2] [code] 

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

Janghoon Choi, Junseok Kwon, and Kyoung Mu Lee, International Conference on Computer Vision (ICCV), Seoul, Korea, 2019 [pdf] 

- Bidirectional Deep Residual learning for Haze Removal 

Guisik Kim, Jinhee Park, Suhyeon Ha and Junseok Kwon, Computer Vision and Pattern Recognition (CVPR) Workshop, Long beach, USA, 2019 [pdf] 

ACK: IITP-2017-0-01780 

- Multi-Domain Attentive Detection Network 

Sungmin Cho, Bowon Choi, Do-Hwi Kim, and Junseok Kwon, The 26th IEEE International Conference on Image Processing (ICIP) Oral presentation , Taipei, Taiwan, 2019 [pdf] 

- LOW-LIGHTGAN: Low-Light Enhancement via Advanced  Generative Adversarial Network with Task-Driven Training

Guisik Kim, Dokyeong Kwon, and Junseok Kwon, The 26th IEEE International Conference on Image Processing (ICIP), Taipei, Taiwan, 2019 [pdf] 

ACK: NRF-2018R1A4A1059731 

- Learning to Remember Past to Predict Future for Visual Tracking 

Sungyong Baik, Junseok Kwon, and Kyoung Mu Lee, The 26th IEEE International Conference on Image Processing (ICIP) Oral presentation , Taipei, Taiwan, 2019 [pdf] 

- Depth-Controllable Very Deep Super-Resolution Network 

Dohyun Kim, Joongheon Kim, Junseok Kwon and Tae-Hyung Kim, International Joint Conference on Neural Networks (IJCNN), Budapest, Hungary, 2019 [pdf] 

- Sphere Generative Adversarial Network Based on Geometric Moment Matching 

Sung Woo Park and Junseok Kwon, Computer Vision and Pattern Recognition (CVPR) Oral presentation , Long beach, USA, 2019 [pdf] [code] 

ACK: IITP-2017-0-01780

Conference Publications (2018)

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

Dohyun Kim, Junseok Kwon, and Joongheon Kim International Conference on Systems, Man, and Cybernetics (SMC), Miyazaki, Japan. 2018. [pdf] 

- Adaptive Patch based Convolutional Neural Network for Robust Dehazing

Guisik Kim, Suhyeon Ha, and Junseok Kwon, The 25th IEEE International Conference on Image Processing (ICIP), Athens, Greece, 2018 [pdf] 

Conference Publications (~2017)

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


Guisik Kim, and Junseok. Kwon, The 28th British Machine Vision Conference (BMCV), London, England. 2017. [pdf] 

- Appearances can be deceiving: Learning visual tracking from few trajectory annotations 

Santiago Manen, Junseok Kwon, Matthieu Guillaumin, and Luc Van Gool, The 13th European Conference on Computer Vision (ECCV), Zurich, Switzerland. 2014. [pdf]

- Robust Visual Tracking with Double Bounding Box Model 

Junseok Kwon, Junha Roh, Kyoung Mu Lee, and Luc Van Gool, The 13th European Conference on Computer Vision (ECCV), Zurich, Switzerland. 2014. [pdf] 

- Interval Tracker: Tracking by Interval Analysis 

Junseok Kwon, and Kyoung Mu Lee, The 27th IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Ohio, USA. 2014. [pdf] 

- Visual Tracking using Joint Inference of Target State and Segment-based Appearance Models 

Junha Roh, Dong Woo Park, Junseok Kwon, and Kyoung Mu Lee, Asia Pacific Signal and Information Processing Association Conference (APSIPA), Kaohsiung, Taiwan. 2013. (Oral presentation) [pdf]

- Minimum Uncertainty Gap for Robust Visual Tracking 

Junseok Kwon, and Kyoung Mu Lee, The 26th IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Portland, USA. 2013. [pdf] 

- Robust Visual Tracking using Autoregressive Hidden Markov Model 

Dong Woo Park, Junseok Kwon, and Kyoung Mu Lee, The 25th IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Providence, USA. 2012. [pdf]


- A Unified Framework for Event Summarization and Rare Event Detection 

Junseok Kwon, and Kyoung Mu Lee, The 25th IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Providence, USA. 2012. [pdf] 

- Tracking by Sampling Trackers 

Junseok Kwon, and Kyoung Mu Lee, The 13th IEEE International Conference on Computer Vision (ICCV), Barcelona, Spain. 2011. (Oral presentation, 3.7% acceptance rate) 

[project page] 

- Visual Tracking Decomposition 

Junseok Kwon, and Kyoung Mu Lee, The 23th IEEE Conference on Computer Vision and Pattern Recognition (CVPR), San Francisco, USA. 2010. (Oral presentation, 4.5% acceptance rate) 

[project page] 

- Simultaneous Video Synchronization and Rare Event Detection via Cross-EntropyMonte Carlo Optimization 

Junseok Kwon, and Kyoung Mu Lee, The 12th IEEE International Conference on Computer Vision (ICCV) Workshop, Kyoto, Japan. 2009. (Oral presentation) [pdf] 

- Tracking of a Non-Rigid Object via Patch-based Dynamic Appearance Modeling and Adaptive Basin Hopping Monte Carlo Sampling 

Junseok Kwon, and Kyoung Mu Lee, The 22th IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Miami, USA. 2009. 

[project page] 

- Tracking of Abrupt Motion using Wang-Landau Monte Carlo Estimation 

Junseok Kwon, and Kyoung Mu Lee, The 10th European Conference on Computer Vision (ECCV), Marseille, France. 2008. 

[project page]