Mehrdad Yaghoobi

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 31

Top Topics

Signal Detection

Orthogonal Least Squares

Top Venues

IEEE Trans. Geosci. Remote. Sens.

Publications

Jingshuai Liu, Chen Qin, Mehrdad Yaghoobi
Deep Network Cascade for Dynamic Cardiac MRI Reconstruction With Motion Feature Incorporation and the Fourier Neural Attention. IEEE Trans. Computational Imaging 10 (2024)
Calum Heggan, Sam Budgett, Timothy Hosepedales, Mehrdad Yaghoobi
On the Transferability of Large-Scale Self-Supervision to Few-Shot Audio Classification. CoRR (2024)
Shuo Li, Mike Davies, Mehrdad Yaghoobi
Equivariant Imaging for Self-supervised Hyperspectral Image Inpainting. CoRR (2024)
Shuo Li, Mehrdad Yaghoobi
Self-Supervised Hyperspectral Inpainting with the Optimisation inspired Deep Neural Network Prior. EUSIPCO (2023)
Calum Heggan, Timothy M. Hospedales, Sam Budgett, Mehrdad Yaghoobi
MT-SLVR: Multi-Task Self-Supervised Learning for Transformation In(Variant) Representations. CoRR (2023)
Shuo Li, Mehrdad Yaghoobi
Self-supervised Deep Hyperspectral Inpainting with the Sparsity and Low-Rank Considerations. CoRR (2023)
Ruchika Chavhan, Jan Stuehmer, Calum Heggan, Mehrdad Yaghoobi, Timothy M. Hospedales
Amortised Invariance Learning for Contrastive Self-Supervision. ICLR (2023)
Shuo Li, Mehrdad Yaghoobi
Self-Supervised Hyperspectral Inpainting with the Optimisation inspired Deep Neural Network Prior. CoRR (2023)
Ruchika Chavhan, Henry Gouk, Jan Stuehmer, Calum Heggan, Mehrdad Yaghoobi, Timothy M. Hospedales
Amortised Invariance Learning for Contrastive Self-Supervision. CoRR (2023)
Jingshuai Liu, Chen Qin, Mehrdad Yaghoobi
High-Fidelity MRI Reconstruction Using Adaptive Spatial Attention Selection and Deep Data Consistency Prior. IEEE Trans. Computational Imaging 9 (2023)
Calum Heggan, Timothy M. Hospedales, Sam Budgett, Mehrdad Yaghoobi
MT-SLVR: Multi-Task Self-Supervised Learning for Transformation In(Variant) Representations. INTERSPEECH (2023)
Nikolaos Dionelis, Richard Jackson, Sotirios A. Tsaftaris, Mehrdad Yaghoobi
SLX: Similarity Learning for X-Ray Screening and Robust Automated Disassembled Object Detection. IJCNN (2023)
Jingshuai Liu, Chen Qin, Mehrdad Yaghoobi
Coil-Agnostic Attention-Based Network for Parallel MRI Reconstruction. ACCV (6) (2022)
Calum Heggan, Sam Budgett, Timothy M. Hospedales, Mehrdad Yaghoobi
MetaAudio: A Few-Shot Audio Classification Benchmark. CoRR (2022)
Nurul Aini Amran, Mohammad Dehghani Soltani, Mehrdad Yaghoobi, Majid Safari
Learning Indoor Environment for Effective LiFi Communications: Signal Detection and Resource Allocation. IEEE Access 10 (2022)
Nikolaos Dionelis, Sotirios A. Tsaftaris, Mehrdad Yaghoobi
FROB: Few-Shot ROBust Model for Joint Classification and Out-of-Distribution Detection. ECML/PKDD (3) (2022)
Nikolaos Dionelis, Sotirios A. Tsaftaris, Mehrdad Yaghoobi
CTR: Contrastive Training Recognition Classifier for Few-Shot Open-World Recognition. ICPR (2022)
Jingshuai Liu, Chen Qin, Mehrdad Yaghoobi
Region-Guided Channel-Wise Attention Network for Accelerated MRI Reconstruction. MLMI@MICCAI (2022)
Jingshuai Liu, Chen Qin, Mehrdad Yaghoobi
High-Fidelity MRI Reconstruction with the Densely Connected Network Cascade and Feature Residual Data Consistency Priors. MLMIR@MICCAI (2022)
Calum Heggan, Sam Budgett, Timothy M. Hospedales, Mehrdad Yaghoobi
MetaAudio: A Few-Shot Audio Classification Benchmark. ICANN (1) (2022)
Nikolaos Dionelis, Mehrdad Yaghoobi, Sotirios A. Tsaftaris
Few-Shot Adaptive Detection of Objects of Concern Using Generative Models with Negative Retraining. ICTAI (2021)
Jingshuai Liu, Mehrdad Yaghoobi
Fine-grained MRI Reconstruction using Attentive Selection Generative Adversarial Networks. CoRR (2021)
Jingshuai Liu, Mehrdad Yaghoobi
Fine-Grained Mri Reconstruction Using Attentive Selection Generative Adversarial Networks. ICASSP (2021)
Konstantinos A. Voulgaris, Mike E. Davies, Mehrdad Yaghoobi
DeepMP for Non-Negative Sparse Decomposition. EUSIPCO (2020)
Nurul Aini Amran, Mohammad Dehghani Soltani, Mehrdad Yaghoobi, Majid Safari
Deep Learning Based Signal Detection for OFDM VLC Systems. ICC Workshops (2020)
Mohammed Alshaya, Mehrdad Yaghoobi, Bernard Mulgrew
Ultrahigh Resolution Wide Swath MIMO-SAR. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13 (2020)
Nikolaos Dionelis, Mehrdad Yaghoobi, Sotirios A. Tsaftaris
Boundary Of Distribution Support Generator (BDSG): Sample Generation On The Boundary. ICIP (2020)
Mohammed Alshaya, Mehrdad Yaghoobi, Bernard Mulgrew
High-Resolution Wide-Swath IRCI-Free MIMO SAR. IEEE Trans. Geosci. Remote. Sens. 58 (1) (2020)
Konstantinos A. Voulgaris, Mike E. Davies, Mehrdad Yaghoobi
DeepMP for Non-Negative Sparse Decomposition. CoRR (2020)
Di Wu, Mehrdad Yaghoobi, Mike E. Davies
Sparsity-Driven GMTI Processing Framework With Multichannel SAR. IEEE Trans. Geosci. Remote. Sens. 57 (3) (2019)
Cecile Chenot, Mehrdad Yaghoobi, Mike E. Davies, Yoann Altmann
Anomaly Detection with High Resolution Hyperspectral Observations. GlobalSIP (2018)
Mehrdad Yaghoobi, Di Wu, Mike E. Davies
Fast Non-Negative Orthogonal Matching Pursuit. IEEE Signal Process. Lett. 22 (9) (2015)
Mehrdad Yaghoobi, Mike E. Davies
Fast non-negative orthogonal least squares. EUSIPCO (2015)
Mehrdad Yaghoobi, Michael A. Lexa, Fabien Millioz, Mike E. Davies
A low-complexity sub-Nyquist sampling system for wideband Radar ESM receivers. ICASSP (2014)
Shaun Kelly, Mehrdad Yaghoobi, Mike E. Davies
Sparsity-based autofocus for undersampled synthetic aperture radar. IEEE Trans. Aerosp. Electron. Syst. 50 (2) (2014)
Mehrdad Yaghoobi, Laurent Daudet, Michael E. Davies
Dictionary Subselection Using an Overcomplete Joint Sparsity Model. IEEE Trans. Signal Process. 62 (17) (2014)
Mehrdad Yaghoobi, Sangnam Nam, Rémi Gribonval, Mike E. Davies
Constrained Overcomplete Analysis Operator Learning for Cosparse Signal Modelling. IEEE Trans. Signal Process. 61 (9) (2013)
Mehrdad Yaghoobi, Sangnam Nam, Rémi Gribonval, Michael E. Davies
Noise aware analysis operator learning for approximately cosparse signals. ICASSP (2012)
Mehrdad Yaghoobi, Laurent Daudet, Michael E. Davies
Optimal Dictionary Selection Using an Overcomplete Joint Sparsity Model CoRR (2012)
Mehrdad Yaghoobi, Sangnam Nam, Rémi Gribonval, Mike E. Davies
Constrained Overcomplete Analysis Operator Learning for Cosparse Signal Modelling CoRR (2012)
Mehrdad Yaghoobi, Sangnam Nam, Rémi Gribonval, Mike E. Davies
Analysis operator learning for overcomplete cosparse representations. EUSIPCO (2011)
Mehrdad Yaghoobi, Mike E. Davies
Dictionary Learning for Sparse Representations: A Pareto Curve Root Finding Approach. LVA/ICA (2010)
Mehrdad Yaghoobi, Laurent Daudet, Michael E. Davies
Structured and incoherent parametric dictionary design. ICASSP (2010)
Mehrdad Yaghoobi, Thomas Blumensath, Michael E. Davies
Parsimonious dictionary learning. ICASSP (2009)
Mehrdad Yaghoobi, Thomas Blumensath, Mike E. Davies
Dictionary learning for sparse approximations with the majorization method. IEEE Trans. Signal Process. 57 (6) (2009)
Mehrdad Yaghoobi, Laurent Daudet, Mike E. Davies
Parametric dictionary design for sparse coding. IEEE Trans. Signal Process. 57 (12) (2009)
Mehrdad Yaghoobi, Thomas Blumensath, Mike E. Davies
Regularized dictionary learning for sparse approximation. EUSIPCO (2008)
Mehrdad Yaghoobi, Thomas Blumensath, Mike E. Davies
Quantized Sparse Approximation with Iterative Thresholding for Audio Coding. ICASSP (1) (2007)
Thomas Blumensath, Mehrdad Yaghoobi, Mike E. Davies
Iterative Hard Thresholding and L0 Regularisation. ICASSP (3) (2007)
Mehrdad Yaghoobi, Hamid R. Rabiee, Mohammed Ghanbari, Mohammad Bagher Shamsollahi
A New Image Texture Extraction Algorithm Based on Matching Pursuit Gabor Wavelets. ICASSP (2) (2005)