A new algorithm for learning overcomplete dictionaries. - Mostafa Sadeghi; Massoud Babaie-Zadeh; Christian Jutten (EUSIPCO, 2013)

Sequential subspace finding: A new algorithm for learning low-dimensional linear subspaces. - Mostafa Sadeghi; Mohsen Joneidi; Massoud Babaie-Zadeh; Christian Jutten (EUSIPCO, 2013)

Learning overcomplete dictionaries based on parallel atom-updating. - Mostafa Sadeghi; Massoud Babaie-Zadeh; Christian Jutten (MLSP, 2013)

A Union of Low-Rank Subspaces Detector: Application to Radar Signal Detection and Voice Activity Detection. - Mohsen Joneidi; Parvin Ahmadi; Mostafa Sadeghi (CoRR, 2013)

Dictionary Learning for Sparse Representation: A Novel Approach. - Mostafa Sadeghi; Massoud Babaie-Zadeh; Christian Jutten (IEEE Signal Process. Lett., 2013)

K-LDA: An algorithm for learning jointly overcomplete and discriminative dictionaries. - Jamal Golmohammady; Mohsen Joneidi; Mostafa Sadeghi; Massoud Babaie-Zadeh; Christian Jutten (EUSIPCO, 2014)

A study on clustering-based image denoising: From global clustering to local grouping. - Mohsen Joneidi; Mostafa Sadeghi; Mojtaba Sahraee-Ardakan; Massoud Babaie-Zadeh; Christian Jutten (EUSIPCO, 2014)

Outlier-aware dictionary learning for sparse representation. - Sajjad Amini; Mostafa Sadeghi; Mohsen Joneidi; Massoud Babaie-Zadeh; Christian Jutten (MLSP, 2014)

Learning Overcomplete Dictionaries Based on Atom-by-Atom Updating. - Mostafa Sadeghi; Massoud Babaie-Zadeh; Christian Jutten (IEEE Trans. Signal Process., 2014)

A Dictionary Learning Method for Sparse Representation Using a Homotopy Approach. - Milad Niknejad; Mostafa Sadeghi; Massoud Babaie-Zadeh; Hossein Rabbani; Christian Jutten (LVA/ICA, 2015)

A Study on Clustering for Clustering Based Image De-Noising. - Hossein Bakhshi Golestani; Mohsen Joneidi; Mostafa Sadeghi (CoRR, 2015)

Regularized low-coherence overcomplete dictionary learning for sparse signal decomposition. - Mostafa Sadeghi; Massoud Babaie-Zadeh; Christian Jutten (EUSIPCO, 2016)

Union of low-rank subspaces detector. - Mohsen Joneidi; Parvin Ahmadi; Mostafa Sadeghi; Nazanin Rahnavard (IET Signal Process., 2016)

Iterative Sparsification-Projection: Fast and Robust Sparse Signal Approximation. - Mostafa Sadeghi; Massoud Babaie-Zadeh (IEEE Trans. Signal Process., 2016)

A robust ellipse fitting algorithm based on sparsity of outliers. - Elaheh Sobhani; Mostafa Sadeghi; Massoud Babaie-Zadeh; Christian Jutten (EUSIPCO, 2017)

Accelerated Dictionary Learning for Sparse Signal Representation. - Fateme Ghayem; Mostafa Sadeghi; Massoud Babaie-Zadeh; Christian Jutten (LVA/ICA, 2017)

Progressive Learning for Systematic Design of Large Neural Networks. - Saikat Chatterjee; Alireza M. Javid; Mostafa Sadeghi; Partha P. Mitra; Mikael Skoglund (CoRR, 2017)

Incoherent Unit-Norm Frame Design via an Alternating Minimization Penalty Method. - Mostafa Sadeghi; Massoud Babaie-Zadeh (IEEE Signal Process. Lett., 2017)

Joint Low Mutual and Average Coherence Dictionary Learning. - Javad Parsa; Mostafa Sadeghi; Massoud Babaie-Zadeh; Christian Jutten (EUSIPCO, 2018)

Sparse Signal Recovery Using Iterative Proximal Projection. - Fateme Ghayem; Mostafa Sadeghi; Massoud Babaie-Zadeh; Saikat Chatterjee; Mikael Skoglund; Christian Jutten (IEEE Trans. Signal Process., 2018)

A New Algorithm for Dictionary Learning Based on Convex Approximation. - Javad Parsa; Mostafa Sadeghi; Massoud Babaie-Zadeh; Christian Jutten (EUSIPCO, 2019)

LOSoft: ℓ0 Minimization via Soft Thresholding. - Mostafa Sadeghi; Fateme Ghayem; Massoud Babaie-Zadeh; Saikat Chatterjee; Mikael Skoglund; Christian Jutten (EUSIPCO, 2019)

SSFN: Self Size-estimating Feed-forward Network and Low Complexity Design. - Saikat Chatterjee; Alireza M. Javid; Mostafa Sadeghi; Shumpei Kikuta; Partha P. Mitra; Mikael Skoglund (CoRR, 2019)

Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoder. - Mostafa Sadeghi; Simon Leglaive; Xavier Alameda-Pineda; Laurent Girin; Radu Horaud (CoRR, 2019)

Low Mutual and Average Coherence Dictionary Learning Using Convex Approximation. - Javad Parsa; Mostafa Sadeghi; Massoud Babaie-Zadeh; Christian Jutten (ICASSP, 2020)

Robust Unsupervised Audio-Visual Speech Enhancement Using a Mixture of Variational Autoencoders. - Mostafa Sadeghi; Xavier Alameda-Pineda (ICASSP, 2020)

Face Frontalization Based on Robustly Fitting a Deformable Shape Model to 3D Landmarks. - Zhiqi Kang; Mostafa Sadeghi; Radu Horaud (CoRR, 2020)

Dictionary learning with low mutual coherence constraint. - Mostafa Sadeghi; Massoud Babaie-Zadeh (Neurocomputing, 2020)

Audio-Visual Speech Enhancement Using Conditional Variational Auto-Encoders. - Mostafa Sadeghi; Simon Leglaive; Xavier Alameda-Pineda; Laurent Girin; Radu Horaud (IEEE ACM Trans. Audio Speech Lang. Process., 2020)

Novel efficient full adder and full subtractor designs in quantum cellular automata. - Mostafa Sadeghi; Keivan Navi; Mehdi Dolatshahi (J. Supercomput., 2020)

Switching Variational Auto-Encoders for Noise-Agnostic Audio-Visual Speech Enhancement. - Mostafa Sadeghi; Xavier Alameda-Pineda (ICASSP, 2021)

Robust Face Frontalization For Visual Speech Recognition*. - Zhiqi Kang; Radu Horaud; Mostafa Sadeghi (ICCVW, 2021)

Deep Variational Generative Models for Audio-Visual Speech Separation. - Viet-Nhat Nguyen; Mostafa Sadeghi; Elisa Ricci 001; Xavier Alameda-Pineda (MLSP, 2021)

Mixture of Inference Networks for VAE-Based Audio-Visual Speech Enhancement. - Mostafa Sadeghi; Xavier Alameda-Pineda (IEEE Trans. Signal Process., 2021)

The Impact of Removing Head Movements on Audio-Visual Speech Enhancement. - Zhiqi Kang; Mostafa Sadeghi; Radu Horaud; Xavier Alameda-Pineda; Jacob Donley; Anurag Kumar 003 (ICASSP, 2022)

A Sparsity-promoting Dictionary Model for Variational Autoencoders. - Mostafa Sadeghi; Paul Magron (INTERSPEECH, 2022)

Weighted variance variational autoencoder for speech enhancement. - Ali Golmakani; Mostafa Sadeghi; Xavier Alameda-Pineda; Romain Serizel (CoRR, 2022)

Non-Smooth Regularization: Improvement to Learning Framework Through Extrapolation. - Sajjad Amini; Mohammad Soltanian; Mostafa Sadeghi; Shahrokh Ghaemmaghami (IEEE Trans. Signal Process., 2022)

End-to-End Multichannel Speaker-Attributed ASR: Speaker Guided Decoder and Input Feature Analysis. - Can Cui 007; Imran A. Sheikh; Mostafa Sadeghi; Emmanuel Vincent 001 (ASRU, 2023)

Audio-Visual Speech Enhancement with a Deep Kalman Filter Generative Model. - Ali Golmakani; Mostafa Sadeghi; Romain Serizel (ICASSP, 2023)

Fast and Efficient Speech Enhancement with Variational Autoencoders. - Mostafa Sadeghi; Romain Serizel (ICASSP, 2023)

The CHiME-7 UDASE task: Unsupervised domain adaptation for conversational speech enhancement. - Simon Leglaive; Léonie Borne; Efthymios Tzinis; Mostafa Sadeghi; Matthieu Fraticelli; Scott Wisdom; Manuel Pariente; Daniel Pressnitzer; John R. Hershey (CoRR, 2023)

End-to-end Joint Rich and Normalized ASR with a limited amount of rich training data. - Can Cui 007; Sheikh Imran Ahamad; Mostafa Sadeghi; Emmanuel Vincent 001 (CoRR, 2023)

Expression-Preserving Face Frontalization Improves Visually Assisted Speech Processing. - Zhiqi Kang; Mostafa Sadeghi; Radu Horaud; Xavier Alameda-Pineda (Int. J. Comput. Vis., 2023)

Security Education Training and Awareness (SETA) at the Edge of the Metaverse. - Mostafa Sadeghi; Hadi Ghanbari; Matti Rossi (ECIS, 2024)

Diffusion-Based Speech Enhancement with a Weighted Generative-Supervised Learning Loss. - Jean-Eudes Ayilo; Mostafa Sadeghi; Romain Serizel (ICASSP, 2024)

A Weighted-Variance Variational Autoencoder Model for Speech Enhancement. - Ali Golmakani; Mostafa Sadeghi; Xavier Alameda-Pineda; Romain Serizel (ICASSP, 2024)

Unsupervised Speech Enhancement with Diffusion-Based Generative Models. - Berné Nortier; Mostafa Sadeghi; Romain Serizel (ICASSP, 2024)

Posterior Sampling Algorithms for Unsupervised Speech Enhancement with Recurrent Variational Autoencoder. - Mostafa Sadeghi; Romain Serizel (ICASSP, 2024)

Improving Speaker Assignment in Speaker-Attributed ASR for Real Meeting Applications. - Can Cui 007; Imran A. Sheikh; Mostafa Sadeghi; Emmanuel Vincent 001 (Odyssey, 2024)

Joint Beamforming and Speaker-Attributed ASR for Real Distant-Microphone Meeting Transcription. - Can Cui 007; Sheikh Imran Ahamad; Mostafa Sadeghi; Emmanuel Vincent 001 (CoRR, 2024)

Unsupervised performance analysis of 3D face alignment with a statistically robust confidence test. - Mostafa Sadeghi; Xavier Alameda-Pineda; Radu Horaud (Neurocomputing, 2024)

Diffusion-based Unsupervised Audio-visual Speech Enhancement. - Jean-Eudes Ayilo; Mostafa Sadeghi; Romain Serizel; Xavier Alameda-Pineda (ICASSP, 2025)

Objective and subjective evaluation of speech enhancement methods in the UDASE task of the 7th CHiME challenge. - Simon Leglaive; Matthieu Fraticelli; Hend Elghazaly; Léonie Borne; Mostafa Sadeghi; Scott Wisdom; Manuel Pariente; John R. Hershey; Daniel Pressnitzer; Jon P. Barker (Comput. Speech Lang., 2025)

Posterior Transition Modeling for Unsupervised Diffusion-Based Speech Enhancement. - Mostafa Sadeghi; Jean-Eudes Ayilo; Romain Serizel; Xavier Alameda-Pineda (IEEE Signal Process. Lett., 2025)

Towards Skeletal and Signer Noise Reduction in Sign Language Production via Quaternion-Based Pose Encoding and Contrastive Learning. - Guilhem Fauré; Mostafa Sadeghi; Sam Bigeard; Slim Ouni (CoRR, 2025)