Manri Cheon
I am a Researcher interested in the field of modeling of human visual perception mechanism for artificial intelligence. The main research interests include Quality of Experience (QoE) based Image and Video Processing and Deep Learning for Computer Vision. I am currently working as a research engineer at LG Electronics, Korea. I received my Ph.D. degree in engineering at Yonsei University, Korea. I spent some time as a postdoctoral researcher at Yonsei University and a member of Multimedia Computing and Machine Learning (MCML) Group led by Prof. Jong-Seok Lee.
Contact
Research Interests
- Perceptual Image and Video Quality Assessment
- Perceptual Image and Video Processing
- Deep Learning for Computer Vision
Research Experience
- Senior Research Engineer
- 2019.02 - Now
- CTO Division, LG Electronics, Korea
- Postdoctoral Researcher
- 2018.03 - 2019.01
- MCML Group (Lead: Prof. Jong-Seok Lee)
- Yonsei University, Korea
- Graduate Research Assistant
- 2012.03 - 2018.02
- MCML Group (Lead: Prof. Jong-Seok Lee)
- Yonsei University, Korea
Educaiton
- Ph.D. in Engineering
- 2012.03 - 2018.02
- School of Integrated Technology (SIT), Yonsei University
- Thesis : Objective Modelling of Quality of Experience in Adaptive Multimedia Environments
- Supervisor : Prof. Jong-Seok Lee
- B.S. in Electrical and Electronic Engineering
- 2005.03 - 2012.02
- School of Electrical and Electronic Engineering, Yonsei University
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Publications
International Journals
- M. Cheon, T. Vigier, L. Krasula, J. Lee, P. Le Callet, J.-S. Lee, "Ambiguity of objective image quality metrics: A new methodology for performance evaluation," Signal Processing: Image Communication, vol. 93, Apr. 2021. Detail, arXiv, Github
- J.-H. Choi, J.-H. Kim, M. Cheon, and J.-S. Lee, "Volatile-nonvolatile memory network for progressive image super-resolution," IEEE Access, vol. 9, Mar. 2021. Detail
- J.-H. Kim, J.-H. Choi, M. Cheon, and J.-S. Lee, "MAMNet: Multi-path adaptive modulation network for image super-resolution," Neurocomputing, 2020. Detail, arXiv, Github
- J.-H. Choi, J.-H. Kim, M. Cheon, and J.-S. Lee, "Deep learning-based image super-resolution considering quantitative and perceptual quality," Neurocomputing, 2019. Detail, arXiv, Github
- M. Cheon and J.-S. Lee, "Subjective and objective quality assessment of compressed 4K UHD videos for immersive experience," IEEE Transactions on Circuits and Systems for Video Technology, vol. 28, no. 7, pp. 1467-1480, Jul. 2018. Detail, Dataset
- M. Cheon and J.-S. Lee, "Evaluation of objective quality metrics for multidimensional video scalability," Journal of Visual Communication and Image Representation, vol. 35, pp. 132-145, 2016. Detail
- M. Cheon and J.-S. Lee, "On ambiguity of objective image quality assessment," Electronics Letters, vol. 52(1), pp. 34-35, 2016. Detail
- M. Cheon and J.-S. Lee, "Temporal resolution vs. visual saliency in videos: Analysis of gaze patterns and evaluation of saliency models," Signal Processing: Image Communication, vol. 39, pp. 405-417, 2015. Detail
International Conferences
- M. Cheon, S.-J. Yoon, B. Kang, and J. Lee, "Perceptual Image Quality Assessment with Transformers," IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshop, 2021. (accepted) arXiv
- Shanxin Yuan et al. (including M. Cheon), NTIRE 2020 Challenge on Image Demoireing: Methods and Results," IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshop, 2020. Detail
- M. Cheon, J.-H. Kim, J.-H. Choi, and J.-S. Lee, "Generative adversarial network-based image super-resolution using perceptual content losses," European Conference on Computer Vision (ECCV) Workshop, 2018. arXiv Detail Github
- We won the 2nd places for Region 1 and Region 2 in the PIRM Challenge on Perceptual Super Resolution.
- J.-H. Choi, M. Cheon, M.-S. Choi, and J.-S. Lee, “Impact of three-dimensional video scalability on multi-view activity recognition using deep learning,” Thematic Workshops of ACM Multimedia, pp. 135-143, 2017. Detail
- J.-H. Choi, M. Cheon, and J.-S. Lee, “Influence of video quality on multi-view activity recognition,” IEEE International Symposium on Multimedia (ISM), pp. 511-515, 2017. Detail
- M. Cheon and J.-S. Lee, "Ambiguity-based evaluation of objective quality metrics for image compression," IEEE International Conference on Quality of Multimedia Experience (QoMEX), pp. 1- 6, 2016. Detail
- J. Lee, M. Cheon, S.-E. Moon, and J.-S. Lee, “Peripersonal space in virtual reality: navigating 3D space with different perspectives,” Annual Symposium on User Interface Software and Technology (UIST), pp. 207-208, 2016. Detail
- J. Lee, M. Cheon, S.-E. Moon, and J.-S. Lee, “Gaze analysis of avatar-based navigation with different perspectives in 3D virtual space,” International Conference on Human-Agent Interaction (HAI), pp. 223-226, 2015. Detail
- J. Lee, S.-E. Moon, M. Cheon, and J.-S. Lee, “EEG analysis on 3D navigation in virtual realty with different perspectives,” International Conference on Human-Agent Interaction (HAI), pp. 227-229, 2015. Detail
- M. Cheon and J.-S. Lee, "Objective quality comparison of 4K UHD and up-scaled 4K UHD videos," IEEE International Symposium on Multimedia (ISM), pp. 78-81, 2014. Detail
- M. Cheon and J.-S. Lee, "Gaze pattern analysis for video contents with different frame rates," Visual Communications and Image Processing (VCIP), pp. 17-20, 2013. Detail
- M. Cheon and J.-S. Lee, "Gaze pattern analysis for audio-visual contents under the presence of video transmission errors," IEEE International Conference on Multimedia and Expo Workshops (ICMEW), pp. 1-6, 2013. Detail
Book Chapters
- M. Cheon, S. Kim, C.-B. Chae, and J.-S. Lee, Quality Assessment of Mobile Videos, 'Visual Signal Quality Assessment,' pp. 185-212, Springer, 2014. Detail
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Awards
1st Place
- LIPT team (M. Cheon, S.-J. Yoon, B. Kang, and J. Lee)
- NTIRE 2021 Perceptual Image Quality Assessment Challenge, in conjunction with CVPR, June 2021 (to be announced)
2nd Place (Region 1)
- Yonsei-MCML team (M. Cheon, J.-H. Kim, J.-H. Choi, and J.-S. Lee)
- Super-Resolution Challenge on Perceptual Image Restoration and Manipulation (PIRM), in conjunction with ECCV, September 2018
2nd Place (Region 2)
- Yonsei-MCML team (M. Cheon, J.-H. Kim, J.-H. Choi, and J.-S. Lee)
- Super-Resolution Challenge on Perceptual Image Restoration and Manipulation (PIRM), in conjunction with ECCV, September 2018