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
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Conference Publications (2025)
- Towards Generalizable Time Series Forecasting via IB-Regularized Transformer-Diffusion
Dagyeong Na, Jinho Kang, and Junseok Kwon, IEEE International Conference on Data Mining (ICDM), Washington DC, USA, 2025 [pdf] [code]
ACK: 2021-0-01341, Artificial Intelligence Graduate School Program
- Lightweight Wasserstein Audio-Visual Model for Unified Speech Enhancement and Separation
Jisoo Park*, Seonghak Lee*, Guisik Kim, Taewoo Kim, Junseok Kwon, IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), Honolulu, Hawaii, USA, 2025 [pdf] [code]
ACK: 2021-0-01341, Artificial Intelligence Graduate School Program
* Equal contribution
- Occlusion-Robust Multi-Object Tracking with Adaptive Feature Management and Motion Compensation
Jin Hong, Yoojin Han, Junseok Kwon, IEEE International Conference on Advanced Visual and Signal-Based Systems (AVSS), Tainan, Taiwan, 2025 [pdf] [code]
[Excellent Paper Award]
ACK: 2021-0-01341, Artificial Intelligence Graduate School Program
- Lightweight Grounding Model Combining a CLIP-based Encoder With an Upsampling Decoder
Jihee Yoon, Seunga Lee, Haesol Jeong, Junseok Kwon, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshop, Nashville, USA, 2025
- Leveraging Stereo Vision with Deep Learning for Joint Deflection Measurement in SideWalks
Jisoo Park+, Seonghak Lee+, Paul Hyunbin Cho, ZongKai Xia, Loucif Hebbache, IEEE International Conference on Consumer Electronics (ICCE), Las Vegas, USA, 2025 [pdf]
+This work was done when they were working at University of Toronto.
Conference Publications (2024)
- diffMusic: A Multi-Stage Model for Contextually Aligned Music Generation from Visual Inputs
Jin Hong, Taeun Lee, and Junseok Kwon , 14th Asian Conference on Computer Vision (ACCV) Workshop, Oral presentation, Hanoi, Vietnam, 2024
- Towards Calibrated Robust Fine-Tuning of Vision-Language Models
Changdae Oh, Hyesu Lim, Mijoo Kim+, Dongyoon Han, Sangdoo Yun, Jaegul Choo, Alexander Hauptmann, Zhi-Qi Cheng, Kyungwoo Song, Neural Information Processing Systems (NeurIPS), Vancouver, Canada, 2024 [pdf]
+This work was done when she was working at Carnegie Mellon University.
- Optimizing Dataset Distillation Using DATM: Adjusting Learning Rate and Upper Bound
Minjun Kim, Junhee Cho, and Junseok Kwon, The 18th European Conference on Computer Vision (ECCV) Workshop, 4th place award, Dataset Distillation Challenge , Milano, Italy, 2024 [pdf]
- Satellite Image Dehazing Via Masked Image Modeling and Jigsaw Transformation
Guisik Kim , Choongsang Cho, and Junseok Kwon, The 18th European Conference on Computer Vision (ECCV) Workshop, Advances in Image Manipulation workshop and challenges , Milano, Italy, 2024 [pdf]
- WildTalker: Talking Portrait Synthesis In the Wild
Seonghak Lee*, Jisoo Park*, and Junseok Kwon, The 18th European Conference on Computer Vision (ECCV) Workshop, 3D Modeling, Reconstruction, and Generation in the Wild, Milano, Italy, 2024 [pdf]
* Equal contribution
- Geometry-Preserved Image Editing
Taeeun Kwon, and Junseok Kwon, The 18th European Conference on Computer Vision (ECCV) Workshop, Milano, Italy, 2024
ACK: 2021-0-01341, Artificial Intelligence Graduate School Program
- POTF: Prompt-based Object-centric Tensorial Field
Seonghak Lee*, Jisoo Park*, and Junseok Kwon, International Conference on ICT Convergence (ICTC), Jeju, Korea, Oct. 2024 [pdf]
(*equal contribution)
ACK: BK21 FOUR, NRF-2020R1C1C1004907
Conference Publications (2023)
- LOAD: Local Attribute Debiasing for Pretrained Vision Models
- 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
- 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
- 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
- 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
- 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
- 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
- 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
Conference Publications (2021)
- Automatic Stylized Plaid Check Pattern Try-on
- 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
- 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)
- Generative Adversarial Networks for Markovian Temporal Dynamics: Stochastic Continuous Data Generation
- 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
- 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)
Conference Publications (2019)
- Deep Meta Learning for Real-Time Target-Aware Visual Tracking
- 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
- 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
- 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
- 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
- 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
- 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]
Conference Publications (2018)
- Low-Complexity Online Model Selection with Lyapunov Control for Reward Reward Maximization in Stabilized Real-Time Deep Learning Platforms
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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)
- Visual Tracking Decomposition
- 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)
- Simultaneous Video Synchronization and Rare Event Detection via Cross-EntropyMonte Carlo Optimization
- 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
- 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.
- Tracking of Abrupt Motion using Wang-Landau Monte Carlo Estimation
- 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.
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