FARRUGIA, R. and GUILLEMOT, C., 2020. Light Field Super-Resolution using a Low-Rank Prior and Deep Convolutional Neural Networks. IEEE Transactions on Pattern Analysis and Machine Intelligence, 42(5), pp. 1162-1175.
FERNANDEZ, F., FARRUGIA, R.A., BIGUN, J., FIERREZ, J. and GONZALES-SOSA, E., 2019. A Survey of Super-Resolution in Iris Biometrics With Evaluation of Dictionary-Learning. IEEE Access, 7, pp. 6519.
GALEA, C. and FARRUGIA, R.A., 2018. Matching Software-Generated Sketches to Face Photographs With a Very Deep CNN, Morphed Faces, and Transfer Learning. IEEE Transactions on Information Forensics and Security, 13(6), pp. 1421.
ALONSO-FERNANDEZ, F., FARRUGIA, R.A. and BIGUN JOSEF, 2017. Iris Super-Resolution Using Iterative Neighbor Embedding, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) 2017, IEEE, pp. 655.
FARRUGIA, R., GALEA, C. and GUILLEMOT, C., 2017. Super Resolution of Light Field Images Using Linear Subspace Projection of Patch-Volumes. IEEE Journal of Selected Topics in Signal Processing, 11(7), pp. 1058.
FARRUGIA, R. and GUILLEMOT, C., 2017. Face Hallucination Using Linear Models of Coupled Sparse Support. IEEE Transactions on Image Processing, 26(9), pp. 19 June.
GALEA, C. and FARRUGIA, R.A., 2017. Forensic Face Photo-Sketch Recognition Using a Deep Learning-Based Architecture. IEEE Signal Processing Letters, 24(11), pp. 1586.
JIANG, X., LE PENDU, M., FARRUGIA, R.A. and GUILLEMOT, C., 2017. Light Field Compression With Homography-Based Low-Rank Approximation. IEEE Journal of Selected Topics in Signal Processing, 11(7), pp. 1132.
FARRUGIA, R. and GUILLEMOT, C., 2016. Model and Dictionary guided Face Inpainting in the Wild, Asian Conference on Computer Vision 2016.
FARRUGIA, R. and GUILLEMOT, C., 2016. Robust face hallucination using quantization-adaptive dictionaries, Image Processing (ICIP), 2016 IEEE International Conference on, 25-28 Sept. 2016 2016, IEEE, pp. 2381.
FERNANDEZ, F., FARRUGIA, R.A. and BIGUN, J., 2016. Very low-resolution iris recognition via Eigen-patch super-resolution and matcher fusion, Biometrics Theory, Applications and Systems (BTAS), 2016 IEEE 8th International Conference on, 6-9 Sept 2016, IEEE.
MICALLEF, B.W., DEBONO, C.J. and FARRUGIA, R.A., 2014. Reducing 3D video coding complexity through more efficient disparity estimation. Consumer Electronics, IEEE Transactions on, 60(1), pp. 74-82.
MICALLEF, J.J., FARRUGIA, R.A. and DEBONO, C.J., 2014. Correlation Noise-Based Unequal Error Protected Rate-Adaptive Codes for Distributed Video Coding. Circuits and Systems for Video Technology, IEEE Transactions on, 24(1), pp. 127-140.
FARRUGIA, R.A. and DEBONO, C.J., 2010. A Hybrid Error Control and Artifact Detection Mechanism for Robust Decoding of H.264/AVC Video Sequences. Circuits and Systems for Video Technology, IEEE Transactions on, 20(5), pp. 756-762.
REUBEN A. FARRUGIA and CARL J. DEBONO, 2009. A Support Vector Machine Approach for Detection and Localization of Transmission Errors within Standard H.263++ Decoders IEEE Transactions on Multimedia, 11(7), pp. 1323-1330.
REUBEN A. FARRUGIA and CARL J. DEBONO, 2008. A Robust Error Detection Mechanism for H.264/AVC Coded Video Sequences Based on Support Vector Machines. IEEE Transactions on Circuits and Systems for Video Technologies, 18(12), pp. 1766-1770.