Manri Cheon
I am a Researcher interested in the research field of 1) Quality of Experience based Multimedia Signal Processing and 2) Deep Learning for Computer Vision. The main research direction is modeling of human visual perception mechanism in artificial intelligence. I am currently working as a Senior 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
- Quality of Experience (QoE) based Multimedia Signal Processing
- Subjective and objective perceptual quality assessment
- Perception based visual modeling
- Deep Learning for Computer Vision
- Image/Video restoration and enhancement
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
- Bachelor of Electrical and Electronic Engineering
- 2005.03 - 2012.02
- School of Electrical and Electronic Engineering, Yonsei University
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
- 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
- Shanxin Yuan et al. (including M. Cheon), NTIRE 2020 Challenge on Image Demoireing: Methods and Results," IEEE 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