A New Image Texture Extraction Algorithm Based on Matching Pursuit Gabor Wavelets. - Mehrdad Yaghoobi; Hamid R. Rabiee; Mohammed Ghanbari 001; Mohammad Bagher Shamsollahi (ICASSP (2), 2005)

Iterative Hard Thresholding and L0 Regularisation. - Thomas Blumensath; Mehrdad Yaghoobi; Mike E. Davies 001 (ICASSP (3), 2007)

Quantized Sparse Approximation with Iterative Thresholding for Audio Coding. - Mehrdad Yaghoobi; Thomas Blumensath; Mike E. Davies 001 (ICASSP (1), 2007)

Regularized dictionary learning for sparse approximation. - Mehrdad Yaghoobi; Thomas Blumensath; Mike E. Davies 001 (EUSIPCO, 2008)

Parsimonious dictionary learning. - Mehrdad Yaghoobi; Thomas Blumensath; Michael E. Davies 001 (ICASSP, 2009)

Dictionary learning for sparse approximations with the majorization method. - Mehrdad Yaghoobi; Thomas Blumensath; Mike E. Davies 001 (IEEE Trans. Signal Process., 2009)

Parametric dictionary design for sparse coding. - Mehrdad Yaghoobi; Laurent Daudet; Mike E. Davies 001 (IEEE Trans. Signal Process., 2009)

Dictionary Learning for Sparse Representations: A Pareto Curve Root Finding Approach. - Mehrdad Yaghoobi; Mike E. Davies 001 (LVA/ICA, 2010)

Structured and incoherent parametric dictionary design. - Mehrdad Yaghoobi; Laurent Daudet; Michael E. Davies 001 (ICASSP, 2010)

Analysis operator learning for overcomplete cosparse representations. - Mehrdad Yaghoobi; Sangnam Nam; Rémi Gribonval; Mike E. Davies 001 (EUSIPCO, 2011)

Noise aware analysis operator learning for approximately cosparse signals. - Mehrdad Yaghoobi; Sangnam Nam; Rémi Gribonval; Michael E. Davies 001 (ICASSP, 2012)

Optimal Dictionary Selection Using an Overcomplete Joint Sparsity Model - Mehrdad Yaghoobi; Laurent Daudet; Michael E. Davies 001 (CoRR, 2012)

Constrained Overcomplete Analysis Operator Learning for Cosparse Signal Modelling. - Mehrdad Yaghoobi; Sangnam Nam; Rémi Gribonval; Mike E. Davies 001 (IEEE Trans. Signal Process., 2013)

A low-complexity sub-Nyquist sampling system for wideband Radar ESM receivers. - Mehrdad Yaghoobi; Michael A. Lexa; Fabien Millioz; Mike E. Davies 001 (ICASSP, 2014)

Sparsity-based autofocus for undersampled synthetic aperture radar. - Shaun Kelly; Mehrdad Yaghoobi; Mike E. Davies 001 (IEEE Trans. Aerosp. Electron. Syst., 2014)

Dictionary Subselection Using an Overcomplete Joint Sparsity Model. - Mehrdad Yaghoobi; Laurent Daudet; Michael E. Davies 001 (IEEE Trans. Signal Process., 2014)

Fast non-negative orthogonal least squares. - Mehrdad Yaghoobi; Mike E. Davies 001 (EUSIPCO, 2015)

Fast Non-Negative Orthogonal Matching Pursuit. - Mehrdad Yaghoobi; Di Wu 031; Mike E. Davies 001 (IEEE Signal Process. Lett., 2015)

Anomaly Detection with High Resolution Hyperspectral Observations. - Cecile Chenot; Mehrdad Yaghoobi; Mike E. Davies 001; Yoann Altmann (GlobalSIP, 2018)

Sparsity-Driven GMTI Processing Framework With Multichannel SAR. - Di Wu 031; Mehrdad Yaghoobi; Mike E. Davies 001 (IEEE Trans. Geosci. Remote. Sens., 2019)

DeepMP for Non-Negative Sparse Decomposition. - Konstantinos A. Voulgaris; Mike E. Davies 001; Mehrdad Yaghoobi (EUSIPCO, 2020)

Deep Learning Based Signal Detection for OFDM VLC Systems. - Nurul Aini Amran; Mohammad Dehghani Soltani; Mehrdad Yaghoobi; Majid Safari (ICC Workshops, 2020)

Boundary Of Distribution Support Generator (BDSG): Sample Generation On The Boundary. - Nikolaos Dionelis; Mehrdad Yaghoobi; Sotirios A. Tsaftaris (ICIP, 2020)

Ultrahigh Resolution Wide Swath MIMO-SAR. - Mohammed Alshaya; Mehrdad Yaghoobi; Bernard Mulgrew (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

High-Resolution Wide-Swath IRCI-Free MIMO SAR. - Mohammed Alshaya; Mehrdad Yaghoobi; Bernard Mulgrew (IEEE Trans. Geosci. Remote. Sens., 2020)

Fine-Grained Mri Reconstruction Using Attentive Selection Generative Adversarial Networks. - Jingshuai Liu; Mehrdad Yaghoobi (ICASSP, 2021)

Few-Shot Adaptive Detection of Objects of Concern Using Generative Models with Negative Retraining. - Nikolaos Dionelis; Mehrdad Yaghoobi; Sotirios A. Tsaftaris (ICTAI, 2021)

Coil-Agnostic Attention-Based Network for Parallel MRI Reconstruction. - Jingshuai Liu; Chen Qin; Mehrdad Yaghoobi (ACCV (6), 2022)

MetaAudio: A Few-Shot Audio Classification Benchmark. - Calum Heggan; Sam Budgett; Timothy M. Hospedales; Mehrdad Yaghoobi (ICANN (1), 2022)

CTR: Contrastive Training Recognition Classifier for Few-Shot Open-World Recognition. - Nikolaos Dionelis; Sotirios A. Tsaftaris; Mehrdad Yaghoobi (ICPR, 2022)

High-Fidelity MRI Reconstruction with the Densely Connected Network Cascade and Feature Residual Data Consistency Priors. - Jingshuai Liu; Chen Qin; Mehrdad Yaghoobi (MLMIR@MICCAI, 2022)

Region-Guided Channel-Wise Attention Network for Accelerated MRI Reconstruction. - Jingshuai Liu; Chen Qin; Mehrdad Yaghoobi (MLMI@MICCAI, 2022)

FROB: Few-Shot ROBust Model for Joint Classification and Out-of-Distribution Detection. - Nikolaos Dionelis; Sotirios A. Tsaftaris; Mehrdad Yaghoobi (ECML/PKDD (3), 2022)

Learning Indoor Environment for Effective LiFi Communications: Signal Detection and Resource Allocation. - Nurul Aini Amran; Mohammad Dehghani Soltani; Mehrdad Yaghoobi; Majid Safari (IEEE Access, 2022)

Self-Supervised Hyperspectral Inpainting with the Optimisation inspired Deep Neural Network Prior. - Shuo Li; Mehrdad Yaghoobi (EUSIPCO, 2023)

Amortised Invariance Learning for Contrastive Self-Supervision. - Ruchika Chavhan; Jan Stuehmer; Calum Heggan; Mehrdad Yaghoobi; Timothy M. Hospedales (ICLR, 2023)

SLX: Similarity Learning for X-Ray Screening and Robust Automated Disassembled Object Detection. - Nikolaos Dionelis; Richard Jackson; Sotirios A. Tsaftaris; Mehrdad Yaghoobi (IJCNN, 2023)

MT-SLVR: Multi-Task Self-Supervised Learning for Transformation In(Variant) Representations. - Calum Heggan; Timothy M. Hospedales; Sam Budgett; Mehrdad Yaghoobi (INTERSPEECH, 2023)

Amortised Invariance Learning for Contrastive Self-Supervision. - Ruchika Chavhan; Henry Gouk; Jan Stuehmer; Calum Heggan; Mehrdad Yaghoobi; Timothy M. Hospedales (CoRR, 2023)

Self-supervised Deep Hyperspectral Inpainting with the Sparsity and Low-Rank Considerations. - Shuo Li; Mehrdad Yaghoobi (CoRR, 2023)

High-Fidelity MRI Reconstruction Using Adaptive Spatial Attention Selection and Deep Data Consistency Prior. - Jingshuai Liu; Chen Qin; Mehrdad Yaghoobi (IEEE Trans. Computational Imaging, 2023)

On the Transferability of Large-Scale Self-Supervision to Few-Shot Audio Classification. - Calum Heggan; Sam Budgett; Timothy M. Hospedales; Mehrdad Yaghoobi (ICASSP Workshops, 2024)

From Pixels to Waveforms: Evaluating Pre-trained Image Models for Few-Shot Audio Classification. - Calum Heggan; Timothy M. Hospedales; Sam Budgett; Mehrdad Yaghoobi (IJCNN, 2024)

Equivariant Imaging for Self-supervised Hyperspectral Image Inpainting. - Shuo Li; Mike Davies 001; Mehrdad Yaghoobi (CoRR, 2024)

Deep Network Cascade for Dynamic Cardiac MRI Reconstruction With Motion Feature Incorporation and the Fourier Neural Attention. - Jingshuai Liu; Chen Qin; Mehrdad Yaghoobi (IEEE Trans. Computational Imaging, 2024)

Self-supervised Deep Hyperspectral Inpainting with the Plug and Play and Deep Image Prior Models. - Shuo Li; Mehrdad Yaghoobi (CoRR, 2025)