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ORCIDChengfang Ren
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- affiliation: Université Paris-Saclay, Gif-sur-Yvette, France
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Journal Articles
- 2024
[j13]Hugo Brehier
, Arnaud Breloy, Chengfang Ren, Guillaume Ginolhac:
Through the Wall Radar Imaging via Kronecker-structured Huber-type RPCA. Signal Process. 214: 109228 (2024)- 2023
- [j12]Shufan Yang, Julien Le Kernec, Olivier Romain, Francesco Fioranelli, Pierre Cadart, Jérémy Fix, Chenfang Ren, Giovanni Manfredi, Thierry Letertre, Israel D. Sáenz Hinostroza, Jifa Zhang, Huaiyuan Liang, Xiangrong Wang, Gang Li, Zhaoxi Chen, Kang Liu, Xiaolong Chen, Jiefang Li, Xing Wu, Yi-Chang Chen, Tian Jin:
The Human Activity Radar Challenge: Benchmarking Based on the 'Radar Signatures of Human Activities' Dataset From Glasgow University. IEEE J. Biomed. Health Informatics 27(4): 1813-1824 (2023) - [j11]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: 2475-2490 (2023) - [j10]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): 57-66 (2023) - 2021
- [j9]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: 603-616 (2021) - [j8]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: 6546-6560 (2021) - 2019
- [j7]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: 163-174 (2019) - [j6]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): 367-371 (2019) - 2018
- [j5]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): 883-887 (2018) - 2017
- [j4]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): 688-692 (2017) - 2015
- [j3]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): 1543-1547 (2015) - [j2]Chengfang Ren, Jérôme Galy, Eric Chaumette, Pascal Larzabal, Alexandre Renaux:
Hybrid Barankin-Weiss-Weinstein Bounds. IEEE Signal Process. Lett. 22(11): 2064-2068 (2015) - 2014
- [j1]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): 3682-3694 (2014)
Conference and Workshop Papers
- 2024
- [c29]Hugo Brehier, Arnaud Breloy, Chengfang Ren, Guillaume Ginolhac:
Deep Unrolling of Robust PCA and Convolutional Sparse Coding for Stationary Target Localization in Through Wall Radar Imaging. EUSIPCO 2024: 1881-1885 - [c28]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: 8596-8600 - [c27]Victor Dhédin, Jérémie Levi, Jérémy Fix, Chengfang Ren, Israel Hinostroza:
Complex-Valued Wasserstein GAN for SAR Image Generation. IGARSS 2024: 6991-6996 - [c26]Max Muzeau, Joana Frontera-Pons, Chenfang Ren, Jean Philippe Ovarlez:
General Feature Extraction In SAR Target Classification: A Contrastive Learning Approach Across Sensor Types. IGARSS 2024: 8703-8707 - 2023
- [c25]Cyprien Doz, Chengfang Ren, Jean Philippe Ovarlez, Romain Couillet:
Large Dimensional Analysis of LS-SVM Transfer Learning: Application to Polsar Classification. ICASSP 2023: 1-5 - [c24]Max Muzeau, Chengfang Ren, Sébastien Angélliaume, Mihai Datcu, Jean Philippe Ovarlez:
Self-Supervised SAR Anomaly Detection Guided with RX Detector. IGARSS 2023: 1918-1921 - [c23]Hugo Waltsburger, Erwan Libessart, Chengfang Ren, Anthony Kolar, Régis Guinvarc'h:
Neural network scoring for efficient computing. ISCAS 2023: 1-5 - 2022
- [c22]Antoine Collas, Arnaud Breloy, Guillaume Ginolhac, Chengfang Ren, Jean Philippe Ovarlez:
Robust Geometric Metric Learning. EUSIPCO 2022: 1447-1451 - [c21]Jérémy Fix, Israel Hinostroza, Chengfang Ren, Giovanni Manfredi, Thierry Letertre:
Transfer learning for human activity classification in multiple radar setups. EUSIPCO 2022: 1576-1580 - [c20]Hugo Brehier, Arnaud Breloy, Chengfang Ren, Israel Hinostroza, Guillaume Ginolhac:
Robust PCA for Through-the-Wall Radar Imaging. EUSIPCO 2022: 2246-2250 - [c19]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: 5697-5701 - [c18]Jose Agustin Barrachina, Chengfang Ren, Gilles Vieillard, Christèle Morisseau, Jean Philippe Ovarlez:
Real- and Complex-Valued Neural Networks for SAR Image Segmentation Through Different Polarimetric Representations. ICIP 2022: 1456-1460 - [c17]Jose Agustin Barrachina, Chenfang Ren, Christèle Morisseau, Gilles Vieillard, Jean Philippe Ovarlez:
Complex-Valued Neural Networks for Polarimetric Sar Segmentation Using Pauli Representation. IGARSS 2022: 4984-4987 - 2021
- [c16]Jose Agustin Barrachina, Chenfang Ren, Christèle Morisseau, Gilles Vieillard, Jean Philippe Ovarlez:
Complex-Valued Vs. Real-Valued Neural Networks for Classification Perspectives: An Example on Non-Circular Data. ICASSP 2021: 2990-2994 - [c15]Antoine Collas, Florent Bouchard, Arnaud Breloy, Chenfang Ren, Guillaume Ginolhac, Jean Philippe Ovarlez:
A Tyler-Type Estimator of Location and Scatter Leveraging Riemannian Optimization. ICASSP 2021: 5160-5164 - [c14]Jose Agustin Barrachina, Chenfang Ren, Gilles Vieillard, Christèle Morisseau, Jean Philippe Ovarlez:
About the Equivalence Between Complex-Valued and Real-Valued Fully Connected Neural Networks - Application to Polinsar Images. MLSP 2021: 1-6 - 2020
- [c13]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: 2418-2422 - 2019
- [c12]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: 669-673 - [c11]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: 1-5 - [c10]Victor Gacoin, Anthony Kolar, Chengfang Ren, Régis Guinvarc'h:
Distributing Deep Neural Networks for Maximising Computing Capabilities and Power Efficiency in Swarm. ISCAS 2019: 1-5 - 2018
- [c9]Chengfang Ren, Alexandre Renaux, Sylvain Azarian:
Performance Bounds for Change Point and Time Delay Estimation. EUSIPCO 2018: 281-285 - [c8]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: 4474-4478 - 2017
- [c7]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: 1-5 - 2016
- [c6]Chengfang Ren, Rodrigo Cabral Farias, Pierre-Olivier Amblard, Pierre Comon:
Performance bounds for coupled models. SAM 2016: 1-5 - 2015
- [c5]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: 514-518 - [c4]Chengfang Ren, Julien Le Kernec, Jérôme Galy, Eric Chaumette, Pascal Larzabal, Alexandre Renaux:
A constrained hybrid Cramér-Rao bound for parameter estimation. ICASSP 2015: 3472-3476 - 2014
- [c3]Chengfang Ren, Jérôme Galy, Eric Chaumette, Pascal Larzabal, Alexandre Renaux:
A Ziv-Zakaï type bound for hybrid parameter estimation. ICASSP 2014: 4663-4667 - 2013
- [c2]Chengfang Ren, Jérôme Galy, Eric Chaumette, Pascal Larzabal, Alexandre Renaux:
High resolution techniques for radar: Myth or reality? EUSIPCO 2013: 1-5 - [c1]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: 5534-5538
Informal and Other Publications
- 2024
- [i8]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 abs/2407.00851 (2024) - 2023
- [i7]Jose Agustin Barrachina, Chengfang Ren, Gilles Vieillard, Christèle Morisseau, Jean Philippe Ovarlez:
Theory and Implementation of Complex-Valued Neural Networks. CoRR abs/2302.08286 (2023) - [i6]Hugo Waltsburger, Erwan Libessart, Chengfang Ren, Anthony Kolar, Régis Guinvarc'h:
Neural network scoring for efficient computing. CoRR abs/2310.09554 (2023) - 2022
- [i5]Antoine Collas, Arnaud Breloy, Guillaume Ginolhac, Chengfang Ren, Jean Philippe Ovarlez:
Robust Geometric Metric Learning. CoRR abs/2202.11550 (2022) - [i4]Antoine Collas, Arnaud Breloy, Chengfang Ren, Guillaume Ginolhac, Jean Philippe Ovarlez:
Riemannian optimization for non-centered mixture of scaled Gaussian distributions. CoRR abs/2209.03315 (2022) - [i3]Max Muzeau, Chengfang Ren, Sébastien Angélliaume, Mihai Datcu, Jean Philippe Ovarlez:
Deep Learning-Based Anomaly Detection in Synthetic Aperture Radar Imaging. CoRR abs/2210.16038 (2022) - [i2]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 abs/2210.17419 (2022) - 2020
- [i1]Jose Agustin Barrachina, Chenfang Ren, Christèle Morisseau, Gilles Vieillard, Jean Philippe Ovarlez:
Complex-Valued vs. Real-Valued Neural Networks for Classification Perspectives: An Example on Non-Circular Data. CoRR abs/2009.08340 (2020)
Coauthor Index
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