Chengfang Ren

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 32

Top Topics

Transfer Learning

Parameter Estimates

Top Venues

IEEE Signal Process. Lett.

Publications

Hugo Brehier, Arnaud Breloy, Chengfang Ren, Guillaume Ginolhac
Through-The-Wall Radar Imaging With Wall Clutter Removal Via Riemannian Optimization On The Fixed-Rank Manifold. ICASSP (2024)
Hugo Brehier, Arnaud Breloy, Chengfang Ren, Guillaume Ginolhac
Through the Wall Radar Imaging via Kronecker-structured Huber-type RPCA. Signal Process. 214 (2024)
Max Muzeau, Joana Frontera-Pons, Chengfang Ren, Jean Philippe Ovarlez
SAFE: a SAR Feature Extractor based on self-supervised learning and masked Siamese ViTs. CoRR (2024)
José Agustin Barrachina, Chengfang Ren, Christèle Morisseau, Gilles Vieillard, Jean Philippe Ovarlez
Comparison Between Equivalent Architectures of Complex-valued and Real-valued Neural Networks - Application on Polarimetric SAR Image Segmentation. J. Signal Process. Syst. 95 (1) (2023)
Max Muzeau, Chengfang Ren, Sébastien Angélliaume, Mihai Datcu, Jean Philippe Ovarlez
Self-Supervised SAR Anomaly Detection Guided with RX Detector. IGARSS (2023)
Antoine Collas, Arnaud Breloy, Chengfang Ren, Guillaume Ginolhac, Jean Philippe Ovarlez
Riemannian Optimization for Non-Centered Mixture of Scaled Gaussian Distributions. IEEE Trans. Signal Process. 71 (2023)
Hugo Waltsburger, Erwan Libessart, Chengfang Ren, Anthony Kolar, Régis Guinvarc'h
Neural network scoring for efficient computing. CoRR (2023)
Jose Agustin Barrachina, Chengfang Ren, Gilles Vieillard, Christèle Morisseau, Jean Philippe Ovarlez
Theory and Implementation of Complex-Valued Neural Networks. CoRR (2023)
Hugo Waltsburger, Erwan Libessart, Chengfang Ren, Anthony Kolar, Régis Guinvarc'h
Neural network scoring for efficient computing. ISCAS (2023)
Cyprien Doz, Chengfang Ren, Jean Philippe Ovarlez, Romain Couillet
Large Dimensional Analysis of LS-SVM Transfer Learning: Application to Polsar Classification. ICASSP (2023)
José Agustin Barrachina, Chengfang Ren, Christèle Morisseau, Gilles Vieillard, Jean Philippe Ovarlez
Impact of PolSAR pre-processing and balancing methods on complex-valued neural networks segmentation tasks. CoRR (2022)
Antoine Collas, Arnaud Breloy, Guillaume Ginolhac, Chengfang Ren, Jean Philippe Ovarlez
Robust Geometric Metric Learning. CoRR (2022)
Hugo Brehier, Arnaud Breloy, Chengfang Ren, Israel Hinostroza, Guillaume Ginolhac
Robust PCA for Through-the-Wall Radar Imaging. EUSIPCO (2022)
Max Muzeau, Chengfang Ren, Sébastien Angélliaume, Mihai Datcu, Jean Philippe Ovarlez
Deep Learning-Based Anomaly Detection in Synthetic Aperture Radar Imaging. CoRR (2022)
Antoine Collas, Florent Bouchard, Guillaume Ginolhac, Arnaud Breloy, Chengfang Ren, Jean Philippe Ovarlez
On the Use of Geodesic Triangles between Gaussian Distributions for Classification Problems. ICASSP (2022)
Jeremy Fix, Israel Hinostroza, Chengfang Ren, Giovanni Manfredi, Thierry Letertre
Transfer learning for human activity classification in multiple radar setups. EUSIPCO (2022)
Antoine Collas, Arnaud Breloy, Chengfang Ren, Guillaume Ginolhac, Jean Philippe Ovarlez
Riemannian optimization for non-centered mixture of scaled Gaussian distributions. CoRR (2022)
Antoine Collas, Arnaud Breloy, Guillaume Ginolhac, Chengfang Ren, Jean Philippe Ovarlez
Robust Geometric Metric Learning. EUSIPCO (2022)
Bruno Mériaux, Chengfang Ren, Arnaud Breloy, Mohammed Nabil El Korso, Philippe Forster
Matched and Mismatched Estimation of Kronecker Product of Linearly Structured Scatter Matrices Under Elliptical Distributions. IEEE Trans. Signal Process. 69 (2021)
Antoine Collas, Florent Bouchard, Arnaud Breloy, Guillaume Ginolhac, Chengfang Ren, Jean Philippe Ovarlez
Probabilistic PCA From Heteroscedastic Signals: Geometric Framework and Application to Clustering. IEEE Trans. Signal Process. 69 (2021)
Bruno Mériaux, Chengfang Ren, Arnaud Breloy, Mohammed Nabil El Korso, Philippe Forster
Efficient Estimation of Kronecker Product of Linear Structured Scatter Matrices under t-distribution. EUSIPCO (2020)
Bruno Mériaux, Arnaud Breloy, Chengfang Ren, Mohammed Nabil El Korso, Philippe Forster
Modified Sparse Subspace Clustering for Radar Detection in Non-stationary Clutter. CAMSAP (2019)
Bruno Meriaux, Chengfang Ren, Mohammed Nabil El Korso, Arnaud Breloy, Philippe Forster
Robust estimation of structured scatter matrices in (mis)matched models. Signal Process. 165 (2019)
Bruno Meriaux, Chengfang Ren, Mohammed Nabil El Korso, Arnaud Breloy, Philippe Forster
Asymptotic Performance of Complex $M$-Estimators for Multivariate Location and Scatter Estimation. IEEE Signal Process. Lett. 26 (2) (2019)
Victor Gacoin, Anthony Kolar, Chengfang Ren, Régis Guinvarc'h
Distributing Deep Neural Networks for Maximising Computing Capabilities and Power Efficiency in Swarm. ISCAS (2019)
Bruno Mériaux, Chengfang Ren, Arnaud Breloy, Mohammed Nabil El Korso, Philippe Forster, Jean Philippe Ovarlez
On the Recursions of Robust COMET Algorithm for Convexly Structured Shape Matrix. EUSIPCO (2019)
Chengfang Ren, Alexandre Renaux, Sylvain Azarian
Performance Bounds for Change Point and Time Delay Estimation. EUSIPCO (2018)
Steeve Zozor, Chengfang Ren, Alexandre Renaux
On the Maximum Likelihood Estimator Statistics for Unimodal Elliptical Distributions in the High Signal-to-Noise Ratio Regime. IEEE Signal Process. Lett. 25 (6) (2018)
Bruno Meriaux, Chengfang Ren, Mohammed Nabil El Korso, Arnaud Breloy, Philippe Forster
Efficient Estimation of Scatter Matrix with Convex Structure Under $T$ -Distribution. ICASSP (2018)
Bruno Meriaux, Chengfang Ren, Mohammed Nabil El Korso, Arnaud Breloy, Philippe Forster
Robust-COMET for covariance estimation in convex structures: Algorithm and statistical properties. CAMSAP (2017)
Saloua Chlaily, Chengfang Ren, Pierre-Olivier Amblard, Olivier J. J. Michel, Pierre Comon, Christian Jutten
Information-Estimation Relationship in Mismatched Gaussian Channels. IEEE Signal Process. Lett. 24 (5) (2017)
Chengfang Ren, Rodrigo Cabral Farias, Pierre-Olivier Amblard, Pierre Comon
Performance bounds for coupled models. SAM (2016)
Chengfang Ren, Julien Le Kernec, Jérôme Galy, Eric Chaumette, Pascal Larzabal, Alexandre Renaux
A constrained hybrid Cramér-Rao bound for parameter estimation. ICASSP (2015)
Chengfang Ren, Jérôme Galy, Eric Chaumette, Pascal Larzabal, Alexandre Renaux
Hybrid Barankin-Weiss-Weinstein Bounds. IEEE Signal Process. Lett. 22 (11) (2015)
Chengfang Ren, Jérôme Galy, Eric Chaumette, François Vincent, Pascal Larzabal, Alexandre Renaux
Recursive Hybrid Cramér-Rao Bound for Discrete-Time Markovian Dynamic Systems. IEEE Signal Process. Lett. 22 (10) (2015)
Chengfang Ren, Mohammed Nabil El Korso, Jérôme Galy, Eric Chaumette, Pascal Larzabal, Alexandre Renaux
Performance bounds under misspecification model for MIMO radar application. EUSIPCO (2015)
Chengfang Ren, Jérôme Galy, Eric Chaumette, Pascal Larzabal, Alexandre Renaux
A Ziv-Zakaï type bound for hybrid parameter estimation. ICASSP (2014)
Chengfang Ren, Mohammed Nabil El Korso, Jérôme Galy, Eric Chaumette, Pascal Larzabal, Alexandre Renaux
On the Accuracy and Resolvability of Vector Parameter Estimates. IEEE Trans. Signal Process. 62 (14) (2014)
Chengfang Ren, Jérôme Galy, Eric Chaumette, Pascal Larzabal, Alexandre Renaux
Hybrid lower bound on the MSE based on the Barankin and Weiss-Weinstein bounds. ICASSP (2013)
Chengfang Ren, Jérôme Galy, Eric Chaumette, Pascal Larzabal, Alexandre Renaux
High resolution techniques for radar: Myth or reality? EUSIPCO (2013)