Mehrdad Yaghoobi

53 papers A* 1A 1B 5Misc 5Journal 24Unranked 17
YearRankTypeTitle / Venue / Authors
2025 J jnl
Self-supervised Deep Hyperspectral Inpainting with the Plug and Play and Deep Image Prior Models.
CoRR
Shuo Li, Mehrdad Yaghoobi
2024 J jnl
Deep Network Cascade for Dynamic Cardiac MRI Reconstruction With Motion Feature Incorporation and the Fourier Neural Attention.
IEEE Trans. Computational Imaging
Jingshuai Liu, Chen Qin, Mehrdad Yaghoobi
2024 J jnl
Equivariant Imaging for Self-supervised Hyperspectral Image Inpainting.
CoRR
Shuo Li, Mike Davies, Mehrdad Yaghoobi
2024 B conf
From Pixels to Waveforms: Evaluating Pre-trained Image Models for Few-Shot Audio Classification.
IJCNN
Calum Heggan, Timothy M. Hospedales, Sam Budgett, Mehrdad Yaghoobi
2024 — conf
On the Transferability of Large-Scale Self-Supervision to Few-Shot Audio Classification.
ICASSP Workshops
Calum Heggan, Sam Budgett, Timothy M. Hospedales, Mehrdad Yaghoobi
2024 J jnl
On the Transferability of Large-Scale Self-Supervision to Few-Shot Audio Classification.
CoRR
Calum Heggan, Sam Budgett, Timothy M. Hospedales, Mehrdad Yaghoobi
2023 A* conf
Amortised Invariance Learning for Contrastive Self-Supervision.
ICLR
Ruchika Chavhan, Jan Stuehmer, Calum Heggan, Mehrdad Yaghoobi, Timothy M. Hospedales
2023 J jnl
Amortised Invariance Learning for Contrastive Self-Supervision.
CoRR
Ruchika Chavhan, Henry Gouk, Jan Stuehmer, Calum Heggan, Mehrdad Yaghoobi, Timothy M. Hospedales
2023 J jnl
High-Fidelity MRI Reconstruction Using Adaptive Spatial Attention Selection and Deep Data Consistency Prior.
IEEE Trans. Computational Imaging
Jingshuai Liu, Chen Qin, Mehrdad Yaghoobi
2023 A conf
MT-SLVR: Multi-Task Self-Supervised Learning for Transformation In(Variant) Representations.
INTERSPEECH
Calum Heggan, Timothy M. Hospedales, Sam Budgett, Mehrdad Yaghoobi
2023 J jnl
MT-SLVR: Multi-Task Self-Supervised Learning for Transformation In(Variant) Representations.
CoRR
Calum Heggan, Timothy M. Hospedales, Sam Budgett, Mehrdad Yaghoobi
2023 B conf
SLX: Similarity Learning for X-Ray Screening and Robust Automated Disassembled Object Detection.
IJCNN
Nikolaos Dionelis, Richard Jackson, Sotirios A. Tsaftaris, Mehrdad Yaghoobi
2023 — conf
Self-Supervised Hyperspectral Inpainting with the Optimisation inspired Deep Neural Network Prior.
EUSIPCO
Shuo Li, Mehrdad Yaghoobi
2023 J jnl
Self-Supervised Hyperspectral Inpainting with the Optimisation inspired Deep Neural Network Prior.
CoRR
Shuo Li, Mehrdad Yaghoobi
2023 J jnl
Self-supervised Deep Hyperspectral Inpainting with the Sparsity and Low-Rank Considerations.
CoRR
Shuo Li, Mehrdad Yaghoobi
2022 B conf
CTR: Contrastive Training Recognition Classifier for Few-Shot Open-World Recognition.
ICPR
Nikolaos Dionelis, Sotirios A. Tsaftaris, Mehrdad Yaghoobi
2022 — conf
Coil-Agnostic Attention-Based Network for Parallel MRI Reconstruction.
ACCV (6)
Jingshuai Liu, Chen Qin, Mehrdad Yaghoobi
2022 — conf
FROB: Few-Shot ROBust Model for Joint Classification and Out-of-Distribution Detection.
ECML/PKDD (3)
Nikolaos Dionelis, Sotirios A. Tsaftaris, Mehrdad Yaghoobi
2022 — conf
High-Fidelity MRI Reconstruction with the Densely Connected Network Cascade and Feature Residual Data Consistency Priors.
MLMIR@MICCAI
Jingshuai Liu, Chen Qin, Mehrdad Yaghoobi
2022 J jnl
Learning Indoor Environment for Effective LiFi Communications: Signal Detection and Resource Allocation.
IEEE Access
Nurul Aini Amran, Mohammad Dehghani Soltani, Mehrdad Yaghoobi, Majid Safari
2022 — conf
MetaAudio: A Few-Shot Audio Classification Benchmark.
ICANN (1)
Calum Heggan, Sam Budgett, Timothy M. Hospedales, Mehrdad Yaghoobi
2022 J jnl
MetaAudio: A Few-Shot Audio Classification Benchmark.
CoRR
Calum Heggan, Sam Budgett, Timothy M. Hospedales, Mehrdad Yaghoobi
2022 — conf
Region-Guided Channel-Wise Attention Network for Accelerated MRI Reconstruction.
MLMI@MICCAI
Jingshuai Liu, Chen Qin, Mehrdad Yaghoobi
2021 B conf
Few-Shot Adaptive Detection of Objects of Concern Using Generative Models with Negative Retraining.
ICTAI
Nikolaos Dionelis, Mehrdad Yaghoobi, Sotirios A. Tsaftaris
2021 Misc conf
Fine-Grained Mri Reconstruction Using Attentive Selection Generative Adversarial Networks.
ICASSP
Jingshuai Liu, Mehrdad Yaghoobi
2021 J jnl
Fine-grained MRI Reconstruction using Attentive Selection Generative Adversarial Networks.
CoRR
Jingshuai Liu, Mehrdad Yaghoobi
2020 B conf
Boundary Of Distribution Support Generator (BDSG): Sample Generation On The Boundary.
ICIP
Nikolaos Dionelis, Mehrdad Yaghoobi, Sotirios A. Tsaftaris
2020 — conf
Deep Learning Based Signal Detection for OFDM VLC Systems.
ICC Workshops
Nurul Aini Amran, Mohammad Dehghani Soltani, Mehrdad Yaghoobi, Majid Safari
2020 — conf
DeepMP for Non-Negative Sparse Decomposition.
EUSIPCO
Konstantinos A. Voulgaris, Mike E. Davies, Mehrdad Yaghoobi
2020 J jnl
DeepMP for Non-Negative Sparse Decomposition.
CoRR
Konstantinos A. Voulgaris, Mike E. Davies, Mehrdad Yaghoobi
2020 J jnl
High-Resolution Wide-Swath IRCI-Free MIMO SAR.
IEEE Trans. Geosci. Remote. Sens.
Mohammed Alshaya, Mehrdad Yaghoobi, Bernard Mulgrew
2020 J jnl
Ultrahigh Resolution Wide Swath MIMO-SAR.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Mohammed Alshaya, Mehrdad Yaghoobi, Bernard Mulgrew
2019 J jnl
Sparsity-Driven GMTI Processing Framework With Multichannel SAR.
IEEE Trans. Geosci. Remote. Sens.
Di Wu, Mehrdad Yaghoobi, Mike E. Davies
2018 — conf
Anomaly Detection with High Resolution Hyperspectral Observations.
GlobalSIP
Cecile Chenot, Mehrdad Yaghoobi, Mike E. Davies, Yoann Altmann
2015 J jnl
Fast Non-Negative Orthogonal Matching Pursuit.
IEEE Signal Process. Lett.
Mehrdad Yaghoobi, Di Wu, Mike E. Davies
2015 — conf
Fast non-negative orthogonal least squares.
EUSIPCO
Mehrdad Yaghoobi, Mike E. Davies
2014 Misc conf
A low-complexity sub-Nyquist sampling system for wideband Radar ESM receivers.
ICASSP
Mehrdad Yaghoobi, Michael A. Lexa, Fabien Millioz, Mike E. Davies
2014 J jnl
Dictionary Subselection Using an Overcomplete Joint Sparsity Model.
IEEE Trans. Signal Process.
Mehrdad Yaghoobi, Laurent Daudet, Michael E. Davies
2014 J jnl
Sparsity-based autofocus for undersampled synthetic aperture radar.
IEEE Trans. Aerosp. Electron. Syst.
Shaun Kelly, Mehrdad Yaghoobi, Mike E. Davies
2013 J jnl
Constrained Overcomplete Analysis Operator Learning for Cosparse Signal Modelling.
IEEE Trans. Signal Process.
Mehrdad Yaghoobi, Sangnam Nam, Rémi Gribonval, Mike E. Davies
2012 J jnl
Constrained Overcomplete Analysis Operator Learning for Cosparse Signal Modelling
CoRR
Mehrdad Yaghoobi, Sangnam Nam, Rémi Gribonval, Mike E. Davies
2012 Misc conf
Noise aware analysis operator learning for approximately cosparse signals.
ICASSP
Mehrdad Yaghoobi, Sangnam Nam, Rémi Gribonval, Michael E. Davies
2012 J jnl
Optimal Dictionary Selection Using an Overcomplete Joint Sparsity Model
CoRR
Mehrdad Yaghoobi, Laurent Daudet, Michael E. Davies
2011 — conf
Analysis operator learning for overcomplete cosparse representations.
EUSIPCO
Mehrdad Yaghoobi, Sangnam Nam, Rémi Gribonval, Mike E. Davies
2010 — conf
Dictionary Learning for Sparse Representations: A Pareto Curve Root Finding Approach.
LVA/ICA
Mehrdad Yaghoobi, Mike E. Davies
2010 Misc conf
Structured and incoherent parametric dictionary design.
ICASSP
Mehrdad Yaghoobi, Laurent Daudet, Michael E. Davies
2009 J jnl
Dictionary learning for sparse approximations with the majorization method.
IEEE Trans. Signal Process.
Mehrdad Yaghoobi, Thomas Blumensath, Mike E. Davies
2009 J jnl
Parametric dictionary design for sparse coding.
IEEE Trans. Signal Process.
Mehrdad Yaghoobi, Laurent Daudet, Mike E. Davies
2009 Misc conf
Parsimonious dictionary learning.
ICASSP
Mehrdad Yaghoobi, Thomas Blumensath, Michael E. Davies
2008 — conf
Regularized dictionary learning for sparse approximation.
EUSIPCO
Mehrdad Yaghoobi, Thomas Blumensath, Mike E. Davies
2007 — conf
Iterative Hard Thresholding and L0 Regularisation.
ICASSP (3)
Thomas Blumensath, Mehrdad Yaghoobi, Mike E. Davies
2007 — conf
Quantized Sparse Approximation with Iterative Thresholding for Audio Coding.
ICASSP (1)
Mehrdad Yaghoobi, Thomas Blumensath, Mike E. Davies
2005 — conf
A New Image Texture Extraction Algorithm Based on Matching Pursuit Gabor Wavelets.
ICASSP (2)
Mehrdad Yaghoobi, Hamid R. Rabiee, Mohammed Ghanbari, Mohammad Bagher Shamsollahi