Chengfang Ren

Orcid: 0000-0001-8438-4539

Affiliations:
  • Université Paris-Saclay, Gif-sur-Yvette, France


According to our database1, Chengfang Ren authored at least 46 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Through the Wall Radar Imaging via Kronecker-structured Huber-type RPCA.
Signal Process., January, 2024

SAFE: a SAR Feature Extractor based on self-supervised learning and masked Siamese ViTs.
CoRR, 2024

General Feature Extraction In SAR Target Classification: A Contrastive Learning Approach Across Sensor Types.
Proceedings of the IGARSS 2024, 2024

Complex-Valued Wasserstein GAN for SAR Image Generation.
Proceedings of the IGARSS 2024, 2024

Through-The-Wall Radar Imaging With Wall Clutter Removal Via Riemannian Optimization On The Fixed-Rank Manifold.
Proceedings of the IEEE International Conference on Acoustics, 2024

Deep Unrolling of Robust PCA and Convolutional Sparse Coding for Stationary Target Localization in Through Wall Radar Imaging.
Proceedings of the 32nd European Signal Processing Conference, 2024

2023
The Human Activity Radar Challenge: Benchmarking Based on the 'Radar Signatures of Human Activities' Dataset From Glasgow University.
IEEE J. Biomed. Health Informatics, April, 2023

Comparison Between Equivalent Architectures of Complex-valued and Real-valued Neural Networks - Application on Polarimetric SAR Image Segmentation.
J. Signal Process. Syst., January, 2023

Riemannian Optimization for Non-Centered Mixture of Scaled Gaussian Distributions.
IEEE Trans. Signal Process., 2023

Theory and Implementation of Complex-Valued Neural Networks.
CoRR, 2023

Neural network scoring for efficient computing.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

Self-Supervised SAR Anomaly Detection Guided with RX Detector.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Large Dimensional Analysis of LS-SVM Transfer Learning: Application to Polsar Classification.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Impact of PolSAR pre-processing and balancing methods on complex-valued neural networks segmentation tasks.
CoRR, 2022

Deep Learning-Based Anomaly Detection in Synthetic Aperture Radar Imaging.
CoRR, 2022

Complex-Valued Neural Networks for Polarimetric Sar Segmentation Using Pauli Representation.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Real- and Complex-Valued Neural Networks for SAR Image Segmentation Through Different Polarimetric Representations.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

On the Use of Geodesic Triangles between Gaussian Distributions for Classification Problems.
Proceedings of the IEEE International Conference on Acoustics, 2022

Transfer learning for human activity classification in multiple radar setups.
Proceedings of the 30th European Signal Processing Conference, 2022

Robust Geometric Metric Learning.
Proceedings of the 30th European Signal Processing Conference, 2022

Robust PCA for Through-the-Wall Radar Imaging.
Proceedings of the 30th European Signal Processing Conference, 2022

2021
Matched and Mismatched Estimation of Kronecker Product of Linearly Structured Scatter Matrices Under Elliptical Distributions.
IEEE Trans. Signal Process., 2021

Probabilistic PCA From Heteroscedastic Signals: Geometric Framework and Application to Clustering.
IEEE Trans. Signal Process., 2021

About the Equivalence Between Complex-Valued and Real-Valued Fully Connected Neural Networks - Application to Polinsar Images.
Proceedings of the 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), 2021

A Tyler-Type Estimator of Location and Scatter Leveraging Riemannian Optimization.
Proceedings of the IEEE International Conference on Acoustics, 2021

Complex-Valued Vs. Real-Valued Neural Networks for Classification Perspectives: An Example on Non-Circular Data.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Efficient Estimation of Kronecker Product of Linear Structured Scatter Matrices under t-distribution.
Proceedings of the 28th European Signal Processing Conference, 2020

2019
Asymptotic Performance of Complex $M$-Estimators for Multivariate Location and Scatter Estimation.
IEEE Signal Process. Lett., 2019

Robust estimation of structured scatter matrices in (mis)matched models.
Signal Process., 2019

Distributing Deep Neural Networks for Maximising Computing Capabilities and Power Efficiency in Swarm.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2019

On the Recursions of Robust COMET Algorithm for Convexly Structured Shape Matrix.
Proceedings of the 27th European Signal Processing Conference, 2019

Modified Sparse Subspace Clustering for Radar Detection in Non-stationary Clutter.
Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

2018
On the Maximum Likelihood Estimator Statistics for Unimodal Elliptical Distributions in the High Signal-to-Noise Ratio Regime.
IEEE Signal Process. Lett., 2018

Efficient Estimation of Scatter Matrix with Convex Structure Under $T$ -Distribution.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Performance Bounds for Change Point and Time Delay Estimation.
Proceedings of the 26th European Signal Processing Conference, 2018

2017
Information-Estimation Relationship in Mismatched Gaussian Channels.
IEEE Signal Process. Lett., 2017

Robust-COMET for covariance estimation in convex structures: Algorithm and statistical properties.
Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

2016
Performance bounds for coupled models.
Proceedings of the 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), 2016

2015
Recursive Hybrid Cramér-Rao Bound for Discrete-Time Markovian Dynamic Systems.
IEEE Signal Process. Lett., 2015

Hybrid Barankin-Weiss-Weinstein Bounds.
IEEE Signal Process. Lett., 2015

A constrained hybrid Cramér-Rao bound for parameter estimation.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Performance bounds under misspecification model for MIMO radar application.
Proceedings of the 23rd European Signal Processing Conference, 2015

2014
On the Accuracy and Resolvability of Vector Parameter Estimates.
IEEE Trans. Signal Process., 2014

A Ziv-Zakaï type bound for hybrid parameter estimation.
Proceedings of the IEEE International Conference on Acoustics, 2014

2013
Hybrid lower bound on the MSE based on the Barankin and Weiss-Weinstein bounds.
Proceedings of the IEEE International Conference on Acoustics, 2013

High resolution techniques for radar: Myth or reality?
Proceedings of the 21st European Signal Processing Conference, 2013


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