Computer Vision Machine Learning Lab

School of Computer Science and Engineering, Chung-Ang University


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




News

- We have 2 papers accepted in ICCV 2019
- We have 3 papers accepted in ICIP 2019
- Prof. Kwon is serving as a Demo Chair for ICCV 2019
- Our paper entitled "Sphere Generative Adversarial Network Based on Geometric Moment Matching" got accepted to CVPR 2019 as an oral presentation -- congrats sung woo!
- Prof. Kwon is serving as a Area Chair for ACCV 2018
- Prof. Kwon is serving as a Finance Chair for ACM Multimedia 2018
- Outstanding Reviewer Award, BMVC 2017
- Our paper entitled "visual tracking decomposition" published in CVPR 2010 has been cited more than 1000 times.
- The first paper of CVML is accepted at BMVC 2017 -- congrats guisik!


Major Interests

- Deep learning, Generative adversarial network
- Objectness, Object tracking
- Segmentation
- Re-identification
- Dehazing, Super-resolution
- 3D reconstruction
- Visual surveillance, Event detection and summarization
- Monte Carlo Sampling method and its variants


Members

- Advisor
Junseok Kwon (2016.03~, Assistant Professor), Personal page

- Graduate students
Guisik Kim (2017.09~, PhD Candidate)
Sung Woo Park (2018.03~, Master)
Sungmin Cho (2018.09~, Master)
Dong Wook Shu (2018.09~, Master)
Jin Wook Paeng (2019.03~, Master)
Dokyeong Kwon (2019.03~, Master)
Jinhee Park (2019.09~, Master)
Suhyeon Ha (2019.09~, Master)
Chanil Kim (2020.03~, Master)
박주현 (2020.03~, Master)

- Undergraduate Interns
Kevin Jin, 주현준, 홍진, 윤신영, 장혁진, 김유진, 장원범, Hyeseong Kim, Ji Soo Kim, Heebin Yoo

- Collaborator
Janghoon Choi, Sungyong Baik (PhD candidate, SNU)

- Alumni
Chan-Ju Park (2017, KAIST), Rae Hyuk Jung (2018, KAIST), Minseok Song (2018, Kakao), Ji Young Park (2019, Alchera), Ga Young Kim (2019, LG Electronics), Bo Won Choi (2019, LG CNS), Taehong Kim (2019), Junhyuck Woo (2020)


Recent & Selected Publications [Click here for a full list]

- 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]





- 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]





- 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]





- Particle Swarm Markov Chain Monte Carlo for Robust Visual Tracking with Adaptive Template Update
Junseok Kwon Applied Soft Computing (ASC), Accepted
[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]




- Real-time Visual Tracking by Deep Reinforced Decision Making
Janghoon Choi, Junseok Kwon, and Kyoung Mu Lee, Computer Vision and Image Understanding (CVIU), vol. 171, June, page 10-19, 2018
[pdf]






- Adaptive Patch based Convolutional Neural Network for Robust Dehazing
Guisik Kim, Suhyeon Ha, Junseok Kwon, The 25th IEEE International Conference on Image Processing (ICIP), Athenes, Greece, 2018
[pdf]






- Uncertainty Calibrated Markov Chain Monte Carlo Sampler for Visual Tracking based on Multi-Shape Posterior
Junseok Kwon, Journal of Mathematical Imaging and Vision (JMIV), vol. 60, no. 5, page 681-691. 2018
[pdf]






- Visual Tracking Based on Edge Field with Object Proposal Association
Junseok Kwon, Hansung Lee, Image and Vision Computing (IVC), vol. 69, January, page 22-32. 2018
[pdf]






- Robust Pixel-wise Dehazing Algorithm based on Advanced Haze-Relevant Features
Guisik Kim, Junseok. Kwon, The 28th British Machine Vision Conference (BMCV), London, UK. 2017.
[pdf]






- Leveraging Observation Uncertainty for Robust Visual Tracking
Junseok Kwon, Radu Timofte, and Luc Van Gool, Computer Vision and Image Understanding (CVIU), vol. 158, page 62-71. 2017
[pdf]






- Adaptive Visual Tracking with Minimum Uncertainty Gap Estimation
Junseok Kwon, and Kyoung Mu Lee, IEEE Transaction on Pattern Analysis and Machine Intelligence (TPAMI), vol. 39, no. 1, page 18-31. 2017
[pdf]







Project

- Visual Recognition Algorithms based on Deep Learning in the application of Intelligent Robots
Funded by NRF, Korea (August 2018 - February 2021)
- The technology development for event recognition/relational reasoning and learning knowledge based system for video understanding
Funded by IITP, Korea (July 2017 - December 2021)
- Long-term visual tracking system based on deep learning
Funded by NRF, Korea (March 2017 - February 2020)


Awards

2019.02 31th Image Processing and Image Understanding : Silver Prize
2018.02 30th Image Processing and Image Understanding : Silver Prize
2017.09 28th BMVC Outstanding Reviewers
2014.11 12th ACCV Best Reviewers
2012.11 11th ACCV Best Reviewers
2012.6 25th CVPR Doctoral Consortium
2012.2 18th Samsung Humantech Thesis Prize : Bronze Prize
2011.2 23th Image Processing and Image Understanding : Best Poster
2011.2 17th Samsung Humantech Thesis Prize : Gold Prize
2010.2 16th Samsung Humantech Thesis Prize : Honor Prize