Applications in Computer Vision

A) Image Processing (3 papers)

Y. Bai, G. Cheung, X. Liu, W. Gao, "Graph-Based Blind Image Deblurring from a Single Photograph," IEEE Transactions on Image Processing, Volume. 28, No.3, pages 1404-1418, March 2019.

X. Liu, G. Cheung, X. Ji, D. Zhao, W. Gao, "Graph-based Joint Dequantization and Contrast Enhancement of Poorly Lit JPEG Images”, IEEE Transactions on Image Processing, Volume. 28, No.3, pages 1205-1219, March 2019.

G. Cheung, E. Magli, Y. Tanaka, M. Ng, "Graph Spectral Image Processing”, Proceedings of the IEEE, Volume 106, No. 5, pages 907-930, May 2018.

B) Video Processing (7 papers)

Event based Cameras (1 paper)

A. Mondal, R. Shashant, J. Giraldo, T. Bouwmans, A. Chowdhury, "Moving Object Detection for Event-based Vision using Graph Spectral Clustering", First Workshop on "When Graph Signal Processing meets Computer Vision", ICCV 2021,October 2021. 

RGB Cameras (6 papers)

Q. Deng, S. Zhang, Z. Ding, “Body Motion Segmentation via Multilayer Graph Processing for Wearable Sensor Signals”, IEEE Open Journal of Signal Processing, 2024.

J. Giraldo, T. Bouwmans, “Moving Objects Detection in Video Processing: A Graph Signal Processing Approach for Background Subtraction”, Chapter 26, Book on "Artificial Intelligence Technologies, Applications, and Challenges", CRC Press, Taylor,Francis Group, 2021.

J. Giraldo, S. Javed, M. Sultana, S. Jung, T. Bouwmans, "The Emerging Field of Graph Signal Processing for Moving Object Segmentation", International Workshop on Frontiers of Computer Vision, IW-FCV 2021, Daegu, South Korea, February 2021. 

J. Giraldo, S. Javed, T. Bouwmans, "Graph Moving Object Segmentation", IEEE Transactions on Pattern Analysis and Machine Intelligence, December 2020.

J. Giraldo, T. Bouwmans, "GraphBGS: Background Subtraction via Recovery of Graph Signals", International Conference on Pattern Recognition, ICPR 2020, Milan, Italy, January 2021.

J. Giraldo, T. Bouwmans, "Semi-Supervised Background Subtraction of Unseen Videos: Minimization of The Total Variation of Graph Signals", IEEE International Conference on Image Processing, ICIP 2020, Abu Dhabi, UAE, October 2020.

C) 3D Computer Vision (5 papers)

C. Dinesh, G. Cheung, I. Bajic, "Point Cloud Sampling via Graph Balancing and Gershgorin Disc Alignment",  IEEE Transactions on Pattern Analysis and Machine Intelligence, Volume 45, No. 1, January 2023.

H. Chen, W. Hu, S. Luo, X. Gao, "Unsupervised Learning of Geometric Sampling Invariant Representations for 3D Point Clouds", First Workshop on "When Graph Signal Processing meets Computer Vision", ICCV 2021, October 2021. 

W. Hu, X. Gao, G. Cheung,  Z. Guo, "Feature Graph Learning for 3D Point Cloud Denoising", Volume 68, pages 2841-2856, IEEE Transactions on Signal Processing, February 2020.

C. Dinesh, G. Cheung, I. Bajic, “Point Cloud Denoising via Feature Graph Laplacian Regularization”, Volume 29, pages 4143-4158, IEEE Transactions on Image Processing, January 2020.

J. Zeng, G. Cheung, M. Ng, J. Pang, C. Yang, "3D Point Cloud Denoising using Graph Laplacian Regularization of a Low Dimensional Manifold Model”, IEEE Transactions on Image Processing, Volume 29, pages 3474-3489, December 2019.