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ORCIDMehrdad Yaghoobi
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2020 – today
- 2024
[j12]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: 774-789 (2024)- [c29]Calum Heggan, Sam Budgett, Timothy M. Hospedales, Mehrdad Yaghoobi:
On the Transferability of Large-Scale Self-Supervision to Few-Shot Audio Classification. ICASSP Workshops 2024: 515-519 - [c28]Calum Heggan, Timothy M. Hospedales, Sam Budgett, Mehrdad Yaghoobi:
From Pixels to Waveforms: Evaluating Pre-trained Image Models for Few-Shot Audio Classification. IJCNN 2024: 1-8 - [i11]Calum Heggan, Sam Budgett, Timothy M. Hospedales, Mehrdad Yaghoobi:
On the Transferability of Large-Scale Self-Supervision to Few-Shot Audio Classification. CoRR abs/2402.01274 (2024) - [i10]Shuo Li, Mike Davies, Mehrdad Yaghoobi:
Equivariant Imaging for Self-supervised Hyperspectral Image Inpainting. CoRR abs/2404.13159 (2024) - 2023
- [j11]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: 298-313 (2023) - [c27]Shuo Li, Mehrdad Yaghoobi:
Self-Supervised Hyperspectral Inpainting with the Optimisation inspired Deep Neural Network Prior. EUSIPCO 2023: 471-475 - [c26]Ruchika Chavhan, Jan Stuehmer, Calum Heggan, Mehrdad Yaghoobi, Timothy M. Hospedales:
Amortised Invariance Learning for Contrastive Self-Supervision. ICLR 2023 - [c25]Nikolaos Dionelis, Richard Jackson, Sotirios A. Tsaftaris, Mehrdad Yaghoobi:
SLX: Similarity Learning for X-Ray Screening and Robust Automated Disassembled Object Detection. IJCNN 2023: 1-8 - [c24]Calum Heggan, Timothy M. Hospedales, Sam Budgett, Mehrdad Yaghoobi:
MT-SLVR: Multi-Task Self-Supervised Learning for Transformation In(Variant) Representations. INTERSPEECH 2023: 4399-4403 - [i9]Ruchika Chavhan, Henry Gouk, Jan Stuehmer, Calum Heggan, Mehrdad Yaghoobi, Timothy M. Hospedales:
Amortised Invariance Learning for Contrastive Self-Supervision. CoRR abs/2302.12712 (2023) - [i8]Calum Heggan, Timothy M. Hospedales, Sam Budgett, Mehrdad Yaghoobi:
MT-SLVR: Multi-Task Self-Supervised Learning for Transformation In(Variant) Representations. CoRR abs/2305.17191 (2023) - [i7]Shuo Li, Mehrdad Yaghoobi:
Self-Supervised Hyperspectral Inpainting with the Optimisation inspired Deep Neural Network Prior. CoRR abs/2306.07308 (2023) - [i6]Shuo Li, Mehrdad Yaghoobi:
Self-supervised Deep Hyperspectral Inpainting with the Sparsity and Low-Rank Considerations. CoRR abs/2306.08128 (2023) - 2022
- [j10]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: 17400-17416 (2022) - [c23]Jingshuai Liu, Chen Qin, Mehrdad Yaghoobi:
Coil-Agnostic Attention-Based Network for Parallel MRI Reconstruction. ACCV (6) 2022: 168-184 - [c22]Calum Heggan, Sam Budgett, Timothy M. Hospedales, Mehrdad Yaghoobi:
MetaAudio: A Few-Shot Audio Classification Benchmark. ICANN (1) 2022: 219-230 - [c21]Nikolaos Dionelis, Sotirios A. Tsaftaris, Mehrdad Yaghoobi:
CTR: Contrastive Training Recognition Classifier for Few-Shot Open-World Recognition. ICPR 2022: 1792-1799 - [c20]Jingshuai Liu, Chen Qin, Mehrdad Yaghoobi:
Region-Guided Channel-Wise Attention Network for Accelerated MRI Reconstruction. MLMI@MICCAI 2022: 21-31 - [c19]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: 34-43 - [c18]Nikolaos Dionelis, Sotirios A. Tsaftaris, Mehrdad Yaghoobi:
FROB: Few-Shot ROBust Model for Joint Classification and Out-of-Distribution Detection. ECML/PKDD (3) 2022: 137-153 - [i5]Calum Heggan, Sam Budgett, Timothy M. Hospedales, Mehrdad Yaghoobi:
MetaAudio: A Few-Shot Audio Classification Benchmark. CoRR abs/2204.02121 (2022) - 2021
- [c17]Jingshuai Liu, Mehrdad Yaghoobi:
Fine-Grained Mri Reconstruction Using Attentive Selection Generative Adversarial Networks. ICASSP 2021: 1155-1159 - [c16]Nikolaos Dionelis, Mehrdad Yaghoobi, Sotirios A. Tsaftaris:
Few-Shot Adaptive Detection of Objects of Concern Using Generative Models with Negative Retraining. ICTAI 2021: 528-535 - [i4]Jingshuai Liu, Mehrdad Yaghoobi:
Fine-grained MRI Reconstruction using Attentive Selection Generative Adversarial Networks. CoRR abs/2103.07672 (2021) - 2020
- [j9]Mohammed Alshaya, Mehrdad Yaghoobi, Bernard Mulgrew:
Ultrahigh Resolution Wide Swath MIMO-SAR. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 5358-5368 (2020) - [j8]Mohammed Alshaya, Mehrdad Yaghoobi, Bernard Mulgrew:
High-Resolution Wide-Swath IRCI-Free MIMO SAR. IEEE Trans. Geosci. Remote. Sens. 58(1): 713-725 (2020) - [c15]Konstantinos A. Voulgaris, Mike E. Davies, Mehrdad Yaghoobi:
DeepMP for Non-Negative Sparse Decomposition. EUSIPCO 2020: 2035-2039 - [c14]Nurul Aini Amran, Mohammad Dehghani Soltani, Mehrdad Yaghoobi, Majid Safari:
Deep Learning Based Signal Detection for OFDM VLC Systems. ICC Workshops 2020: 1-6 - [c13]Nikolaos Dionelis, Mehrdad Yaghoobi, Sotirios A. Tsaftaris:
Boundary Of Distribution Support Generator (BDSG): Sample Generation On The Boundary. ICIP 2020: 803-807 - [i3]Konstantinos A. Voulgaris, Mike E. Davies, Mehrdad Yaghoobi:
DeepMP for Non-Negative Sparse Decomposition. CoRR abs/2007.14281 (2020)
2010 – 2019
- 2019
- [j7]Di Wu, Mehrdad Yaghoobi, Mike E. Davies:
Sparsity-Driven GMTI Processing Framework With Multichannel SAR. IEEE Trans. Geosci. Remote. Sens. 57(3): 1434-1447 (2019) - 2018
- [c12]Cecile Chenot, Mehrdad Yaghoobi, Mike E. Davies, Yoann Altmann:
Anomaly Detection with High Resolution Hyperspectral Observations. GlobalSIP 2018: 963-967 - 2015
- [j6]Mehrdad Yaghoobi, Di Wu, Mike E. Davies:
Fast Non-Negative Orthogonal Matching Pursuit. IEEE Signal Process. Lett. 22(9): 1229-1233 (2015) - [c11]Mehrdad Yaghoobi, Mike E. Davies:
Fast non-negative orthogonal least squares. EUSIPCO 2015: 479-483 - 2014
- [j5]Shaun Kelly, Mehrdad Yaghoobi, Mike E. Davies:
Sparsity-based autofocus for undersampled synthetic aperture radar. IEEE Trans. Aerosp. Electron. Syst. 50(2): 972-986 (2014) - [j4]Mehrdad Yaghoobi, Laurent Daudet, Michael E. Davies:
Dictionary Subselection Using an Overcomplete Joint Sparsity Model. IEEE Trans. Signal Process. 62(17): 4547-4556 (2014) - [c10]Mehrdad Yaghoobi, Michael A. Lexa, Fabien Millioz, Mike E. Davies:
A low-complexity sub-Nyquist sampling system for wideband Radar ESM receivers. ICASSP 2014: 1788-1792 - 2013
- [j3]Mehrdad Yaghoobi, Sangnam Nam, Rémi Gribonval, Mike E. Davies:
Constrained Overcomplete Analysis Operator Learning for Cosparse Signal Modelling. IEEE Trans. Signal Process. 61(9): 2341-2355 (2013) - 2012
- [c9]Mehrdad Yaghoobi, Sangnam Nam, Rémi Gribonval, Michael E. Davies:
Noise aware analysis operator learning for approximately cosparse signals. ICASSP 2012: 5409-5412 - [i2]Mehrdad Yaghoobi, Sangnam Nam, Rémi Gribonval, Mike E. Davies:
Constrained Overcomplete Analysis Operator Learning for Cosparse Signal Modelling. CoRR abs/1205.4133 (2012) - [i1]Mehrdad Yaghoobi, Laurent Daudet, Michael E. Davies:
Optimal Dictionary Selection Using an Overcomplete Joint Sparsity Model. CoRR abs/1212.2834 (2012) - 2011
- [c8]Mehrdad Yaghoobi, Sangnam Nam, Rémi Gribonval, Mike E. Davies:
Analysis operator learning for overcomplete cosparse representations. EUSIPCO 2011: 1470-1474 - 2010
- [c7]Mehrdad Yaghoobi, Mike E. Davies:
Dictionary Learning for Sparse Representations: A Pareto Curve Root Finding Approach. LVA/ICA 2010: 410-417 - [c6]Mehrdad Yaghoobi, Laurent Daudet, Michael E. Davies:
Structured and incoherent parametric dictionary design. ICASSP 2010: 5486-5489
2000 – 2009
- 2009
- [j2]Mehrdad Yaghoobi, Thomas Blumensath, Mike E. Davies:
Dictionary learning for sparse approximations with the majorization method. IEEE Trans. Signal Process. 57(6): 2178-2191 (2009) - [j1]Mehrdad Yaghoobi, Laurent Daudet, Mike E. Davies:
Parametric dictionary design for sparse coding. IEEE Trans. Signal Process. 57(12): 4800-4810 (2009) - [c5]Mehrdad Yaghoobi, Thomas Blumensath, Michael E. Davies:
Parsimonious dictionary learning. ICASSP 2009: 2869-2872 - 2008
- [c4]Mehrdad Yaghoobi, Thomas Blumensath, Mike E. Davies:
Regularized dictionary learning for sparse approximation. EUSIPCO 2008: 1-5 - 2007
- [c3]Mehrdad Yaghoobi, Thomas Blumensath, Mike E. Davies:
Quantized Sparse Approximation with Iterative Thresholding for Audio Coding. ICASSP (1) 2007: 257-260 - [c2]Thomas Blumensath, Mehrdad Yaghoobi, Mike E. Davies:
Iterative Hard Thresholding and L0 Regularisation. ICASSP (3) 2007: 877-880 - 2005
- [c1]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: 741-744
Coauthor Index
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