Chengfang Ren

52 papers B 2C 4Misc 8Journal 25Unranked 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
Exploring Polarimetric Properties Preservation during Reconstruction of PolSAR images using Complex-valued Convolutional Neural Networks.
CoRR
Quentin Gabot, Joana Frontera-Pons, Jérémy Fix, Chengfang Ren, Jean Philippe Ovarlez
2026 J jnl
GEPC: Group-Equivariant Posterior Consistency for Out-of-Distribution Detection in Diffusion Models.
CoRR
Yadang Alexis Rouzoumka, Jean Pinsolle, Eugénie Terreaux, Christèle Morisseau, Jean Philippe Ovarlez, Chengfang Ren
2026 J jnl
Out-of-Distribution Radar Detection with Complex VAEs: Theory, Whitening, and ANMF Fusion.
CoRR
Yadang Alexis Rouzoumka, Jean Pinsolle, Eugénie Terreaux, Christèle Morisseau, Jean Philippe Ovarlez, Chengfang Ren
2026 J jnl
Support Vector Data Description for Radar Target Detection.
CoRR
Jean Pinsolle, Yadang Alexis Rouzoumka, Chengfang Ren, Christèle Morisseau, Jean Philippe Ovarlez
2025 — conf
Complex-Valued Variational Autoencoders for Radar Detection in Joint Compound Gaussian Clutter and Thermal Noise.
EUSIPCO
Yadang Alexis Rouzoumka, Eugénie Terreaux, Christèle Morisseau, Jean Philippe Ovarlez, Chengfang Ren
2025 Misc conf
Out-of-Distribution Radar Detection in Compound Clutter and Thermal Noise through Variational Autoencoders.
ICASSP
Yadang Alexis Rouzoumka, Eugénie Terreaux, Christèle Morisseau, Jean Philippe Ovarlez, Chengfang Ren
2025 J jnl
Out-of-Distribution Radar Detection in Compound Clutter and Thermal Noise through Variational Autoencoders.
CoRR
Yadang Alexis Rouzoumka, Eugénie Terreaux, Christèle Morisseau, Jean Philippe Ovarlez, Chengfang Ren
2025 J jnl
Shift-Equivariant Complex-Valued Convolutional Neural Networks.
CoRR
Quentin Gabot, Teck-Yian Lim, Jérémy Fix, Joana Frontera-Pons, Chengfang Ren, Jean Philippe Ovarlez
2025 B conf
torchcvnn: A PyTorch-based library to easily experiment with state-of-the-art Complex-Valued Neural Networks.
IJCNN
Jérémy Fix, Quentin Gabot, X. Huy Nguyen, Joana Frontera-Pons, Chengfang Ren, Jean Philippe Ovarlez
2024 C conf
Complex-Valued Wasserstein GAN for SAR Image Generation.
IGARSS
Victor Dhédin, Jérémie Levi, Jérémy Fix, Chengfang Ren, Israel Hinostroza
2024 — conf
Deep Unrolling of Robust PCA and Convolutional Sparse Coding for Stationary Target Localization in Through Wall Radar Imaging.
EUSIPCO
Hugo Brehier, Arnaud Breloy, Chengfang Ren, Guillaume Ginolhac
2024 J jnl
SAFE: a SAR Feature Extractor based on self-supervised learning and masked Siamese ViTs.
CoRR
Max Muzeau, Joana Frontera-Pons, Chengfang Ren, Jean Philippe Ovarlez
2024 J jnl
Through the Wall Radar Imaging via Kronecker-structured Huber-type RPCA.
Signal Process.
Hugo Brehier, Arnaud Breloy, Chengfang Ren, Guillaume Ginolhac
2024 Misc conf
Through-The-Wall Radar Imaging With Wall Clutter Removal Via Riemannian Optimization On The Fixed-Rank Manifold.
ICASSP
Hugo Brehier, Arnaud Breloy, Chengfang Ren, Guillaume Ginolhac
2023 J jnl
Comparison Between Equivalent Architectures of Complex-valued and Real-valued Neural Networks - Application on Polarimetric SAR Image Segmentation.
J. Signal Process. Syst.
José Agustin Barrachina, Chengfang Ren, Christèle Morisseau, Gilles Vieillard, Jean Philippe Ovarlez
2023 Misc conf
Large Dimensional Analysis of LS-SVM Transfer Learning: Application to Polsar Classification.
ICASSP
Cyprien Doz, Chengfang Ren, Jean Philippe Ovarlez, Romain Couillet
2023 C conf
Neural network scoring for efficient computing.
ISCAS
Hugo Waltsburger, Erwan Libessart, Chengfang Ren, Anthony Kolar, Régis Guinvarc'h
2023 J jnl
Neural network scoring for efficient computing.
CoRR
Hugo Waltsburger, Erwan Libessart, Chengfang Ren, Anthony Kolar, Régis Guinvarc'h
2023 J jnl
Riemannian Optimization for Non-Centered Mixture of Scaled Gaussian Distributions.
IEEE Trans. Signal Process.
Antoine Collas, Arnaud Breloy, Chengfang Ren, Guillaume Ginolhac, Jean Philippe Ovarlez
2023 C conf
Self-Supervised SAR Anomaly Detection Guided with RX Detector.
IGARSS
Max Muzeau, Chengfang Ren, Sébastien Angélliaume, Mihai Datcu, Jean Philippe Ovarlez
2023 J jnl
Theory and Implementation of Complex-Valued Neural Networks.
CoRR
Jose Agustin Barrachina, Chengfang Ren, Gilles Vieillard, Christèle Morisseau, Jean Philippe Ovarlez
2022 J jnl
Deep Learning-Based Anomaly Detection in Synthetic Aperture Radar Imaging.
CoRR
Max Muzeau, Chengfang Ren, Sébastien Angélliaume, Mihai Datcu, Jean Philippe Ovarlez
2022 J jnl
Impact of PolSAR pre-processing and balancing methods on complex-valued neural networks segmentation tasks.
CoRR
José Agustin Barrachina, Chengfang Ren, Christèle Morisseau, Gilles Vieillard, Jean Philippe Ovarlez
2022 Misc conf
On the Use of Geodesic Triangles between Gaussian Distributions for Classification Problems.
ICASSP
Antoine Collas, Florent Bouchard, Guillaume Ginolhac, Arnaud Breloy, Chengfang Ren, Jean Philippe Ovarlez
2022 B conf
Real- and Complex-Valued Neural Networks for SAR Image Segmentation Through Different Polarimetric Representations.
ICIP
Jose Agustin Barrachina, Chengfang Ren, Gilles Vieillard, Christèle Morisseau, Jean Philippe Ovarlez
2022 J jnl
Riemannian optimization for non-centered mixture of scaled Gaussian distributions.
CoRR
Antoine Collas, Arnaud Breloy, Chengfang Ren, Guillaume Ginolhac, Jean Philippe Ovarlez
2022 — conf
Robust Geometric Metric Learning.
EUSIPCO
Antoine Collas, Arnaud Breloy, Guillaume Ginolhac, Chengfang Ren, Jean Philippe Ovarlez
2022 J jnl
Robust Geometric Metric Learning.
CoRR
Antoine Collas, Arnaud Breloy, Guillaume Ginolhac, Chengfang Ren, Jean Philippe Ovarlez
2022 — conf
Robust PCA for Through-the-Wall Radar Imaging.
EUSIPCO
Hugo Brehier, Arnaud Breloy, Chengfang Ren, Israel Hinostroza, Guillaume Ginolhac
2022 — conf
Transfer learning for human activity classification in multiple radar setups.
EUSIPCO
Jérémy Fix, Israel Hinostroza, Chengfang Ren, Giovanni Manfredi, Thierry Letertre
2021 J jnl
Matched and Mismatched Estimation of Kronecker Product of Linearly Structured Scatter Matrices Under Elliptical Distributions.
IEEE Trans. Signal Process.
Bruno Mériaux, Chengfang Ren, Arnaud Breloy, Mohammed Nabil El Korso, Philippe Forster
2021 J jnl
Probabilistic PCA From Heteroscedastic Signals: Geometric Framework and Application to Clustering.
IEEE Trans. Signal Process.
Antoine Collas, Florent Bouchard, Arnaud Breloy, Guillaume Ginolhac, Chengfang Ren, Jean Philippe Ovarlez
2020 — conf
Efficient Estimation of Kronecker Product of Linear Structured Scatter Matrices under t-distribution.
EUSIPCO
Bruno Mériaux, Chengfang Ren, Arnaud Breloy, Mohammed Nabil El Korso, Philippe Forster
2019 J jnl
Asymptotic Performance of Complex $M$-Estimators for Multivariate Location and Scatter Estimation.
IEEE Signal Process. Lett.
Bruno Meriaux, Chengfang Ren, Mohammed Nabil El Korso, Arnaud Breloy, Philippe Forster
2019 C conf
Distributing Deep Neural Networks for Maximising Computing Capabilities and Power Efficiency in Swarm.
ISCAS
Victor Gacoin, Anthony Kolar, Chengfang Ren, Régis Guinvarc'h
2019 — conf
Modified Sparse Subspace Clustering for Radar Detection in Non-stationary Clutter.
CAMSAP
Bruno Mériaux, Arnaud Breloy, Chengfang Ren, Mohammed Nabil El Korso, Philippe Forster
2019 — conf
On the Recursions of Robust COMET Algorithm for Convexly Structured Shape Matrix.
EUSIPCO
Bruno Mériaux, Chengfang Ren, Arnaud Breloy, Mohammed Nabil El Korso, Philippe Forster, Jean Philippe Ovarlez
2019 J jnl
Robust estimation of structured scatter matrices in (mis)matched models.
Signal Process.
Bruno Meriaux, Chengfang Ren, Mohammed Nabil El Korso, Arnaud Breloy, Philippe Forster
2018 Misc conf
Efficient Estimation of Scatter Matrix with Convex Structure Under $T$ -Distribution.
ICASSP
Bruno Meriaux, Chengfang Ren, Mohammed Nabil El Korso, Arnaud Breloy, Philippe Forster
2018 J jnl
On the Maximum Likelihood Estimator Statistics for Unimodal Elliptical Distributions in the High Signal-to-Noise Ratio Regime.
IEEE Signal Process. Lett.
Steeve Zozor, Chengfang Ren, Alexandre Renaux
2018 — conf
Performance Bounds for Change Point and Time Delay Estimation.
EUSIPCO
Chengfang Ren, Alexandre Renaux, Sylvain Azarian
2017 J jnl
Information-Estimation Relationship in Mismatched Gaussian Channels.
IEEE Signal Process. Lett.
Saloua Chlaily, Chengfang Ren, Pierre-Olivier Amblard, Olivier J. J. Michel, Pierre Comon, Christian Jutten
2017 — conf
Robust-COMET for covariance estimation in convex structures: Algorithm and statistical properties.
CAMSAP
Bruno Meriaux, Chengfang Ren, Mohammed Nabil El Korso, Arnaud Breloy, Philippe Forster
2016 — conf
Performance bounds for coupled models.
SAM
Chengfang Ren, Rodrigo Cabral Farias, Pierre-Olivier Amblard, Pierre Comon
2015 Misc conf
A constrained hybrid Cramér-Rao bound for parameter estimation.
ICASSP
Chengfang Ren, Julien Le Kernec, Jérôme Galy, Eric Chaumette, Pascal Larzabal, Alexandre Renaux
2015 J jnl
Hybrid Barankin-Weiss-Weinstein Bounds.
IEEE Signal Process. Lett.
Chengfang Ren, Jérôme Galy, Eric Chaumette, Pascal Larzabal, Alexandre Renaux
2015 — conf
Performance bounds under misspecification model for MIMO radar application.
EUSIPCO
Chengfang Ren, Mohammed Nabil El Korso, Jérôme Galy, Eric Chaumette, Pascal Larzabal, Alexandre Renaux
2015 J jnl
Recursive Hybrid Cramér-Rao Bound for Discrete-Time Markovian Dynamic Systems.
IEEE Signal Process. Lett.
Chengfang Ren, Jérôme Galy, Eric Chaumette, François Vincent, Pascal Larzabal, Alexandre Renaux
2014 Misc conf
A Ziv-Zakaï type bound for hybrid parameter estimation.
ICASSP
Chengfang Ren, Jérôme Galy, Eric Chaumette, Pascal Larzabal, Alexandre Renaux
2014 J jnl
On the Accuracy and Resolvability of Vector Parameter Estimates.
IEEE Trans. Signal Process.
Chengfang Ren, Mohammed Nabil El Korso, Jérôme Galy, Eric Chaumette, Pascal Larzabal, Alexandre Renaux
2013 — conf
High resolution techniques for radar: Myth or reality?
EUSIPCO
Chengfang Ren, Jérôme Galy, Eric Chaumette, Pascal Larzabal, Alexandre Renaux
2013 Misc conf
Hybrid lower bound on the MSE based on the Barankin and Weiss-Weinstein bounds.
ICASSP
Chengfang Ren, Jérôme Galy, Eric Chaumette, Pascal Larzabal, Alexandre Renaux