Tensor Total Variation Regularized Moving Object Detection for Surveillance Videos. - Anju Jose Tom; Sudhish N. George (SPCOM, 2018)

Moving object detection by low rank approximation and l1-TV regularization on RPCA framework. - Shijila B.; Anju Jose Tom; Sudhish N. George (J. Vis. Commun. Image Represent., 2018)

Simultaneous denoising and moving object detection using low rank approximation. - Shijila B.; Anju Jose Tom; Sudhish N. George (Future Gener. Comput. Syst., 2019)

Video Completion and Simultaneous Moving Object Detection for Extreme Surveillance Environments. - Anju Jose Tom; Sudhish N. George (IEEE Signal Process. Lett., 2019)

Simultaneous Reconstruction and Moving Object Detection From Compressive Sampled Surveillance Videos. - Anju Jose Tom; Sudhish N. George (IEEE Trans. Image Process., 2020)

A Three-Way Optimization Technique for Noise Robust Moving Object Detection Using Tensor Low-Rank Approximation, l1/2, and TTV Regularizations. - Anju Jose Tom; Sudhish N. George (IEEE Trans. Cybern., 2021)

Semantic Alignment for Multi-Item Compression. - Tom Bachard; Anju Jose Tom; Thomas Maugey (ICIP, 2022)

Simultaneous Super Resolution and Moving Object Detection from Low Resolution Surveillance Videos. - Anju Jose Tom; Sudhish N. George (ICME Workshops, 2023)

Enhancing Emitter Localization Accuracy Through Integration of Received Signal Strength in Direct Position Determination. - Fraser Williams; Dhammika Jayalath; Anju Jose Tom; Terrence Martin; Clinton Fookes (SSP, 2023)

Image embedding and user multi-preference modeling for data collection sampling. - Anju Jose Tom; Laura Toni; Thomas Maugey (EURASIP J. Adv. Signal Process., 2023)