Cédric Richard

ORCID

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 115

Top Venues

CoRR

ICASSP

EUSIPCO

IEEE Trans. Signal Process.

Publications

Xiuheng Wang, Ricardo Augusto Borsoi, Cédric Richard
Riemannian Diffusion Adaptation over Graphs with Application to Online Distributed PCA. ICASSP (2024)
Mengfei Zhang, Yuchen Dong, Jie Chen, Cédric Richard
Diffusion-Based Distributed Wave-Domain Active Noise Control With Convex Sum of Non-Convex Quadratic Costs. IEEE Trans. Circuits Syst. II Express Briefs 71 (3) (2024)
Siyuan Yuan, Martijn van den Ende, Jingxiao Liu, Hae Young Noh, Robert Clapp, Cédric Richard, Biondo Biondi
Spatial Deep Deconvolution U-Net for Traffic Analyses With Distributed Acoustic Sensing. IEEE Trans. Intell. Transp. Syst. 25 (2) (2024)
Wei Gao, Jie Chen, Cédric Richard
Theoretical Analysis of the Performance of the Data-Reuse RLS Algorithm. IEEE Trans. Circuits Syst. II Express Briefs 71 (1) (2024)
Xiuheng Wang, Jie Chen, Cédric Richard
Tuning-Free Plug-and-Play Hyperspectral Image Deconvolution With Deep Priors. IEEE Trans. Geosci. Remote. Sens. 61 (2023)
André Ferrari, Cédric Richard, Anthony Bourrier, Ikram Bouchikhi
Online change-point detection with kernels. Pattern Recognit. 133 (2023)
Martijn van den Ende, Itzhak Lior, Jean-Paul Ampuero, Anthony Sladen, André Ferrari, Cédric Richard
A Self-Supervised Deep Learning Approach for Blind Denoising and Waveform Coherence Enhancement in Distributed Acoustic Sensing Data. IEEE Trans. Neural Networks Learn. Syst. 34 (7) (2023)
Wei Gao, Jie Chen, Cédric Richard, Wentao Shi, Qunfei Zhang
Adaptive Random Fourier Features Kernel LMS. ICSPCC (2023)
Mengfei Zhang, Junqing Zhang, Jie Chen, Cédric Richard
Distributed pressure matching strategy using diffusion adaptation. CoRR (2023)
Jie Chen, Min Zhao, Xiuheng Wang, Cédric Richard, Susanto Rahardja
Integration of Physics-Based and Data-Driven Models for Hyperspectral Image Unmixing: A summary of current methods. IEEE Signal Process. Mag. 40 (2) (2023)
Xuandi Sun, Roula Nassif, Cédric Richard, Haiyan Wang
Anomaly Detection in Graph Signals with Canonical Correlation Analysis. CAMSAP (2023)
Mengfei Zhang, Junqing Zhang, Jie Chen, Cédric Richard
Distributed Pressure Matching for Personal Sound Zone Control Using Diffusion Adaptation. CAMSAP (2023)
Martijn van den Ende, André Ferrari, Anthony Sladen, Cédric Richard
Deep Deconvolution for Traffic Analysis With Distributed Acoustic Sensing Data. IEEE Trans. Intell. Transp. Syst. 24 (3) (2023)
Xiuheng Wang, Ricardo Augusto Borsoi, Cédric Richard, André Ferrari
DIstributed Change Point Detection in Streaming Manifold-Valued Signals Over Graphs. ACSSC (2023)
Mengfei Zhang, Jie Chen, Cédric Richard
Distributed Learning with Convex SUM-of -Non-Convex Objective. CAMSAP (2023)
Xiuheng Wang, Ricardo Augusto Borsoi, Cédric Richard
Online Change Point Detection on Riemannian Manifolds with Karcher Mean Estimates. EUSIPCO (2023)
Xiuheng Wang, Ricardo Augusto Borsoi, Cédric Richard, Jie Chen
Deep Hyperspectral and Multispectral Image Fusion With Inter-Image Variability. IEEE Trans. Geosci. Remote. Sens. 61 (2023)
Haoyuan Cai, Maboud F. Kaloorazi, Jie Chen, Wei Chen, Cédric Richard
Online Dominant Generalized Eigenvectors Extraction via a Randomized Algorithm. IEEE Trans. Veh. Technol. 72 (6) (2023)
Xiuheng Wang, Ricardo Augusto Borsoi, Cédric Richard, Jie Chen
Change Point Detection with Neural Online Density-Ratio Estimator. ICASSP (2023)
Xiuheng Wang, Jie Chen, Cédric Richard
Tuning-free Plug-and-Play Hyperspectral Image Deconvolution with Deep Priors. CoRR (2022)
Wei Gao, Jie Chen, Cédric Richard, Wentao Shi, Qunfei Zhang
Transient Performance Analysis of the $\ell _1$-RLS. IEEE Signal Process. Lett. 29 (2022)
Xiuheng Wang, Jie Chen, Cédric Richard
Hyperspectral Image Super-Resolution with Deep Priors and Degradation Model Inversion. ICASSP (2022)
Xiuheng Wang, Jie Chen, Qi Wei, Cédric Richard
Hyperspectral Image Super-Resolution via Deep Prior Regularization With Parameter Estimation. IEEE Trans. Circuits Syst. Video Technol. 32 (4) (2022)
Xiuheng Wang, Ricardo Augusto Borsoi, Cédric Richard, Jie Chen
Deep Image Fusion Accounting for Inter-Image Variability. IEEECONF (2022)
Mircea Moscu, Ricardo Augusto Borsoi, Cédric Richard, José Carlos M. Bermudez
Graph Topology Inference With Derivative-Reproducing Property in RKHS: Algorithm and Convergence Analysis. IEEE Trans. Signal Inf. Process. over Networks 8 (2022)
Xiuheng Wang, Jie Chen, Cédric Richard
Hyperspectral Image Super-resolution with Deep Priors and Degradation Model Inversion. CoRR (2022)
Wei Gao, Yi Xu, Jie Chen, Cédric Richard
Transient Analysis of Diffusion Recursive Least Squares via Signed Error Algorithm for Cyclostationary Colored Inputs. MLSP (2022)
Clémence Prévost, Ricardo Augusto Borsoi, Konstantin Usevich, David Brie, José C. M. Bermudez, Cédric Richard
Hyperspectral Super-resolution Accounting for Spectral Variability: Coupled Tensor LL1-Based Recovery and Blind Unmixing of the Unknown Super-resolution Image. SIAM J. Imaging Sci. 15 (1) (2022)
Martijn van den Ende, André Ferrari, Anthony Sladen, Cédric Richard
Deep Deconvolution Applied to Distributed Acoustic Sensing for Traffic Analysis. EUSIPCO (2022)
Ricardo Augusto Borsoi, Tales Imbiriba, Pau Closas, José Carlos M. Bermudez, Cédric Richard
Kalman Filtering and Expectation Maximization for Multitemporal Spectral Unmixing. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
Wei Gao, Jie Chen, Cédric Richard, Wentao Shi, Qunfei Zhang
Transient Analysis of Clustered Multitask Diffusion RLS Algorithm. ICASSP (2022)
Yacine Khacef, Martijn van den Ende, André Ferrari, Cédric Richard, Anthony Sladen
Self-Supervised Velocity Field Learning for High-Resolution Traffic Monitoring with Distributed Acoustic Sensing. IEEECONF (2022)
Ricardo Augusto Borsoi, Clémence Prévost, Konstantin Usevich, David Brie, José C. M. Bermudez, Cédric Richard
Coupled Tensor Decomposition for Hyperspectral and Multispectral Image Fusion With Inter-Image Variability. IEEE J. Sel. Top. Signal Process. 15 (3) (2021)
Martijn van den Ende, André Ferrari, Anthony Sladen, Cédric Richard
Next-Generation Traffic Monitoring with Distributed Acoustic Sensing Arrays and Optimum Array Processing. ACSCC (2021)
Mircea Moscu, Ricardo Augusto Borsoi, Cédric Richard
Convergence Analysis of the Graph-Topology-Inference Kernel LMS Algorithm. ICASSP (2021)
Ricardo Augusto Borsoi, Tales Imbiriba, José Carlos Moreira Bermudez, Cédric Richard
Deep Generative Models for Library Augmentation in Multiple Endmember Spectral Mixture Analysis. IEEE Geosci. Remote. Sens. Lett. 18 (10) (2021)
Ricardo Augusto Borsoi, Tales Imbiriba, José Carlos Moreira Bermudez, Cédric Richard
Fast Unmixing and Change Detection in Multitemporal Hyperspectral Data. IEEE Trans. Computational Imaging 7 (2021)
Ricardo Augusto Borsoi, Clémence Prévost, Konstantin Usevich, David Brie, José C. M. Bermudez, Cédric Richard
Coupled Tensor Models Accounting for Inter-image Variability. ACSCC (2021)
Aneline Dolet, Rita Ammanouil, Virginie Petrilli, Cédric Richard, Piero Tortoli, Didier Vray, François Varray
In Vitro and In Vivo Multispectral Photoacoustic Imaging for the Evaluation of Chromophore Concentration. Sensors 21 (10) (2021)
Wei Gao, Jie Chen, Cédric Richard
Transient Theoretical Analysis of Diffusion RLS Algorithm for Cyclostationary Colored Inputs. IEEE Signal Process. Lett. 28 (2021)
Ricardo Augusto Borsoi, Tales Imbiriba, José Carlos Moreira Bermudez, Cédric Richard
A Blind Multiscale Spatial Regularization Framework for Kernel-Based Spectral Unmixing. IEEE Trans. Image Process. 29 (2020)
Fei Hua, Roula Nassif, Cédric Richard, Haiyan Wang, Ali H. Sayed
Online Distributed Learning Over Graphs With Multitask Graph-Filter Models. IEEE Trans. Signal Inf. Process. over Networks 6 (2020)
Danqi Jin, Jie Chen, Cédric Richard, Jingdong Chen, Ali H. Sayed
Affine Combination of Diffusion Strategies over Networks. CoRR (2020)
Roula Nassif, Stefan Vlaski, Cédric Richard, Jie Chen, Ali H. Sayed
Multitask learning over graphs. CoRR (2020)
Fei Hua, Roula Nassif, Cédric Richard, Haiyan Wang, Ali H. Sayed
Diffusion LMS With Communication Delays: Stability and Performance Analysis. IEEE Signal Process. Lett. 27 (2020)
André Ferrari, Cédric Richard
Non-parametric Community Change-points Detection in Streaming Graph Signals. ICASSP (2020)
Danqi Jin, Jie Chen, Cédric Richard, Jingdong Chen, Ali H. Sayed
Convex Combination of Diffusion Strategies Over Networks. IEEE Trans. Signal Inf. Process. over Networks 6 (2020)
Danqi Jin, Jie Chen, Cédric Richard, Jingdong Chen
Online Proximal Learning Over Jointly Sparse Multitask Networks With $\ell _{\infty, 1}$ Regularization. IEEE Trans. Signal Process. 68 (2020)
Mircea Moscu, Ricardo Augusto Borsoi, Cédric Richard
Online Kernel-Based Graph Topology Identification with Partial-Derivative-Imposed Sparsity. EUSIPCO (2020)
Danqi Jin, Jie Chen, Cédric Richard, Jingdong Chen, Ali H. Sayed
Affine Combination of Diffusion Strategies Over Networks. IEEE Trans. Signal Process. 68 (2020)
Danqi Jin, Jie Chen, Cédric Richard, Jingdong Chen
Proximal Multitask Learning Over Distributed Networks with Jointly Sparse Structure. ICASSP (2020)
Ricardo Augusto Borsoi, Tales Imbiriba, Pau Closas, José Carlos Moreira Bermudez, Cédric Richard
Kalman Filtering and Expectation Maximization for Multitemporal Spectral Unmixing. CoRR (2020)
Mircea Moscu, Ricardo Augusto Borsoi, Cédric Richard
Online Graph Topology Inference with Kernels For Brain Connectivity Estimation. ICASSP (2020)
Roula Nassif, Stefan Vlaski, Cédric Richard, Jie Chen, Ali H. Sayed
Multitask Learning Over Graphs: An Approach for Distributed, Streaming Machine Learning. IEEE Signal Process. Mag. 37 (3) (2020)
Haoyuan Cai, Maboud F. Kaloorazi, Jie Chen, Wei Chen, Cédric Richard
Online Dominant Generalized Eigenvectors Extraction Via A Randomized Method. EUSIPCO (2020)
R. A. Borsoi, Cédric Richard, André Ferrari, Jie Chen, José Carlos M. Bermudez
Online Graph-Based Change Point Detection in Multiband Image Sequences. EUSIPCO (2020)
Xiuheng Wang, Jie Chen, Cédric Richard, David Brie
Learning Spectral-Spatial Prior Via 3DDNCNN for Hyperspectral Image Deconvolution. ICASSP (2020)
Ikram Bouchikhi, André Ferrari, Cédric Richard, Anthony Bourrier, Marc Bernot
Kernel Based Online Change Point Detection. EUSIPCO (2019)
André Ferrari, Cédric Richard, Louis Verduci
Distributed Change Detection in Streaming Graph Signals. CoRR (2019)
Yingying Song, El-Hadi Djermoune, Jie Chen, Cédric Richard, David Brie
Online Deconvolution for Industrial Hyperspectral Imaging Systems. SIAM J. Imaging Sci. 12 (1) (2019)
Yingying Song, El-Hadi Djermoune, David Brie, Cédric Richard
Joint unmixing-deconvolution algorithms for hyperspectral images. EUSIPCO (2019)
Ricardo Augusto Borsoi, Tales Imbiriba, José Carlos Moreira Bermudez, Cédric Richard
Deep Generative Models for Library Augmentation in Multiple Endmember Spectral Mixture Analysis. CoRR (2019)
André Ferrari, Cédric Richard, Louis Verduci
Distributed Change Detection in Streaming Graph Signals. CAMSAP (2019)
Ibrahim El Khalil Harrane, Rémi Flamary, Cédric Richard
On Reducing the Communication Cost of the Diffusion LMS Algorithm. IEEE Trans. Signal Inf. Process. over Networks 5 (1) (2019)
Ricardo Augusto Borsoi, Tales Imbiriba, José Carlos Moreira Bermudez, Cédric Richard
A Fast Multiscale Spatial Regularization for Sparse Hyperspectral Unmixing. IEEE Geosci. Remote. Sens. Lett. 16 (4) (2019)
Ricardo Augusto Borsoi, Tales Imbiriba, José Carlos Moreira Bermudez, Cédric Richard
A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing. CoRR (2019)
Fei Hua, Cédric Richard, Jie Chen, Haiyan Wang, Pierre Borgnat, Paulo Gonçalves
Learning Combination of Graph Filters for Graph Signal Modeling. IEEE Signal Process. Lett. 26 (12) (2019)
B. B. Gallo, Sérgio J. M. de Almeida, José C. M. Bermudez, Jie Chen, Cédric Richard
Non-Destructive Prediction of Pork Meat Degradation using a Stacked Autoencoder Classifier on Hyperspectral Images. EUSIPCO (2019)
Roula Nassif, Stefan Vlaski, Cédric Richard, Ali H. Sayed
A Regularization Framework for Learning Over Multitask Graphs. IEEE Signal Process. Lett. 26 (2) (2019)
Mircea Moscu, Roula Nassif, Fei Hua, Cédric Richard
Learning Causal Networks Topology From Streaming Graph Signals. EUSIPCO (2019)
Roula Nassif, Cédric Richard, Jie Chen, Ali H. Sayed
Distributed Diffusion Adaptation Over Graph Signals. ICASSP (2018)
Rita Ammanouil, André Ferrari, Cédric Richard
ADA-PT: An Adaptive Parameter Tuning Strategy Based on the Weighted Stein Unbiased Risk Estimator. ICASSP (2018)
Alec Koppel, Santiago Paternain, Cédric Richard, Alejandro Ribeiro
Decentralized Online Learning With Kernels. IEEE Trans. Signal Process. 66 (12) (2018)
Alec Koppel, Santiago Paternain, Cédric Richard, Alejandro Ribeiro
Decentralized Online Nonparametric Learning. ACSSC (2018)
Ikram Bouchikhi, André Ferrari, Cédric Richard, Anthony Bourrier, Marc Bernot
Non-Parametric Online Change-Point Detection with Kernel LMS By Relative Density Ratio Estimation. SSP (2018)
Fei Hua, Roula Nassif, Cédric Richard, Haiyan Wang, Ali H. Sayed
Decentralized clustering for node-variant graph filtering with graph diffusion LMS. ACSSC (2018)
Danqi Jin, Jie Chen, Cédric Richard, Jingdong Chen
Model-driven online parameter adjustment for zero-attracting LMS. Signal Process. 152 (2018)
Fei Hua, Roula Nassif, Cédric Richard, Haiyan Wang, Ali H. Sayed
A Preconditioned Graph Diffusion LMS for Adaptive Graph Signal Processing. EUSIPCO (2018)
Danqi Jin, Jie Chen, Cédric Richard, Jingdong Chen
Adaptive Parameters Adjustment for Group Reweighted Zero-Attracting LMS. ICASSP (2018)
Tales Imbiriba, José Carlos Moreira Bermudez, Cédric Richard
Band Selection for Nonlinear Unmixing of Hyperspectral Images as a Maximal Clique Problem. IEEE Trans. Image Process. 26 (5) (2017)
Jie Chen, Cédric Richard, Ali H. Sayed
Multitask diffusion adaptation over networks with common latent representations. CoRR (2017)
Roula Nassif, Cédric Richard, Jie Chen, Ali H. Sayed
A graph diffusion LMS strategy for adaptive graph signal processing. ACSSC (2017)
Ibrahim El Khalil Harrane, Rémi Flamary, Cédric Richard
On reducing the communication cost of the diffusion LMS algorithm. CoRR (2017)
Ricardo Augusto Borsoi, Tales Imbiriba, José Carlos Moreira Bermudez, Cédric Richard
Tech Report: A Fast Multiscale Spatial Regularization for Sparse Hyperspectral Unmixing. CoRR (2017)
Fei Hua, Roula Nassif, Cédric Richard, Haiyan Wang, Jianguo Huang
Penalty-based multitask distributed adaptation over networks with constraints. ACSSC (2017)
Simone Scardapane, Jie Chen, Cédric Richard
Adaptation and learning over networks for nonlinear system modeling. CoRR (2017)
Rahul Mourya, André Ferrari, Rémi Flamary, Pascal Bianchi, Cédric Richard
Distributed approach for deblurring large images with shift-variant blur. EUSIPCO (2017)
Alec Koppel, Santiago Paternain, Cédric Richard, Alejandro Ribeiro
Decentralized Online Learning with Kernels. CoRR (2017)
Yingying Song, El-Hadi Djermoune, Jie Chen, Cédric Richard, David Brie
Online deconvolution for pushbroom hyperspectral imaging systems. CAMSAP (2017)
Pedro Pedrosa, José Carlos Moreira Bermudez, Cédric Richard
A design methodology for the Gaussian KLMS algorithm. EUSIPCO (2017)
Rita Ammanouil, André Ferrari, Cédric Richard, Sandrine Mathieu
Nonlinear Unmixing of Hyperspectral Data With Vector-Valued Kernel Functions. IEEE Trans. Image Process. 26 (1) (2017)
Fei Hua, Roula Nassif, Cédric Richard, Haiyan Wang
Penalty-Based multitask estimation with non-local linear equality constraints. CAMSAP (2017)
Roula Nassif, Cédric Richard, André Ferrari, Ali H. Sayed
Diffusion LMS for Multitask Problems With Local Linear Equality Constraints. IEEE Trans. Signal Process. 65 (19) (2017)
Rahul Mourya, Pascal Bianchi, Adil Salim, Cédric Richard
An adaptive distributed asynchronous algorithm with application to target localization. CAMSAP (2017)
Alec Koppel, Santiago Paternain, Cédric Richard, Alejandro Ribeiro
Decentralized efficient nonparametric stochastic optimization. GlobalSIP (2017)
Jie Chen, Cédric Richard, Ali H. Sayed
Multitask Diffusion Adaptation Over Networks With Common Latent Representations. IEEE J. Sel. Top. Signal Process. 11 (3) (2017)
Abderrahim Halimi, Paul Honeine, Malika Kharouf, Cédric Richard, Jean-Yves Tourneret
Estimating the Intrinsic Dimension of Hyperspectral Images Using a Noise-Whitened Eigengap Approach. IEEE Trans. Geosci. Remote. Sens. 54 (7) (2016)
Roula Nassif, Cédric Richard, André Ferrari, Ali H. Sayed
Distributed learning over multitask networks with linearly related tasks. ACSSC (2016)
Roula Nassif, Cédric Richard, Jie Chen, André Ferrari, Ali H. Sayed
Diffusion LMS over multitask networks with noisy links. ICASSP (2016)
Jingen Ni, Jian Yang, Jie Chen, Cédric Richard, José Carlos M. Bermudez
Stochastic behavior of the nonnegative least mean fourth algorithm for stationary Gaussian inputs and slow learning. Signal Process. 128 (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Cédric Richard