Laurent Jacques

Latest

• An Alternating Minimization Algorithm with Trajectory for Direct Exoplanet Detection – The AMAT Algorithm
• Compressive radio-interferometric sensing with random beamforming as rank-one signal covariance projections
• Equivariance-based self-supervised learning for audio signal recovery from clipped measurements
• Fully Differentiable Ray Tracing via Discontinuity Smoothing for Radio Network Optimization
• Grid Hopping: Accelerating Direct Estimation Algorithms for Multistatic FMCW Radar
• Quadratic polynomial kernel approximation with asymmetric embeddings
• UNSURE: Unknown Noise level Stein's Unbiased Risk Estimator
• Comparing Differentiable and Dynamic Ray Tracing: Introducing the Multipath Lifetime Map
• Flattened one-bit stochastic gradient descent: compressed distributed optimization with controlled variance
• ADMM-inspired image reconstruction for terahertz off-axis digital holography
• Learning to Reconstruct Signals From Binary Measurements
• Interferometric lensless imaging: rank-one projections of image frequencies with speckle illuminations
• Interferometric single-pixel imaging with a multicore fiber
• Signal processing after quadratic random sketching with optical units
• Low-rank plus sparse trajectory decomposition for direct exoplanet imaging
• Signal Processing with Optical Quadratic Random Sketches
• The Separation Capacity of Random Neural Networks
• ROP inception: signal estimation with quadratic random sketching
• An Interferometric view of Speckle Imaging
• Asymmetric compressive learning guarantees with applications to quantized sketches
• The Separation Capacity of Random Neural Networks
• Sketching Datasets for Large-Scale Learning
• Breaking the waves: asymmetric random periodic features for low-bitrate kernel machines
• Compressive Imaging Through Optical Fiber with Partial Speckle Scanning
• Compressive learning with privacy guarantees
• Going Below and Beyond, Off-the-Grid Velocity Estimation from 1-bit Radar Measurements
• MAYONNAISE: a morphological components analysis pipeline for circumstellar discs and exoplanets imaging in the near-infrared
• Remove, Complete and Detect: Matrix Completion for Direct Imaging of Exoplanets
• Sparse Factorization-based Detection of Off-the-Grid Moving targets using FMCW radars
• The Importance of Phase in Complex Compressive Sensing
• $(\ell_{1},\ell_{2})$-RIP and Projected Back-Projection Reconstruction for Phase-Only Measurements
• Close Encounters of the Binary Kind: Signal Reconstruction Guarantees for Compressive Hadamard Sampling with Haar Wavelet Basis
• Compressive Learning of Generative Networks
• Factorization over interpolation: A fast continuous orthogonal matching pursuit
• Hardware-Compliant Compressive Image Sensor Architecture Based on Random Modulations and Permutations for Embedded Inference
• Keep the phase! Signal recovery in phase-only compressive sensing
• Morphological components analysis for circumstellar disks imaging
• One Bit to Rule Them All: Binarizing the Reconstruction in 1-bit Compressive Sensing
• When compressive learning fails: blame the decoder or the sketch?
• A Variable Density Sampling Scheme for Compressive Fourier Transform Interferometry
• An Analog-to-Information VGA Image Sensor Architecture for Support Vector Machine on Compressive Measurements
• Compressive k-Means with Differential Privacy
• Compressive Single-pixel Fourier Transform Imaging using Structured Illumination
• Differentially Private Compressive K-means
• Exploring Hierarchical Machine Learning for Hardware-Limited Multi-Class Inference on Compressed Measurements
• Iterative Low-rank and rotating sparsity promotion for circumstellar disks imaging
• Jointly low-rank and bisparse recovery: Questions and partial answers
• Near Sensor Decision Making via Compressed Measurements for Highly Constrained Hardware
• One-Bit Sensing of Low-Rank and Bisparse Matrices
• Performance of Compressive Sensing for Hadamard-Haar Systems
• Quantity over Quality: Dithered Quantization for Compressive Radar Systems
• Quantized Compressive Sensing with RIP Matrices: The Benefit of Dithering
• Single Pixel Hyperspectral Imaging using Fourier Transform Interferometry
• Sparsity-Driven Moving Target Detection in Distributed Multistatic FMCW Radars
• STIM map: detection map for exoplanets imaging beyond asymptotic Gaussian residual speckle noise
• Structured Illumination and Variable Density Sampling for Compressive Fourier Transform Interferometry
• Geometry-preserving Embeddings: Dimensionality Reduction Techniques for Information Representation
• 1-bit Localization Scheme for Radar using Dithered Quantized Compressed Sensing
• A Low-Memory Compressive Image Sensor Architecture for Embedded Object Recognition
• An extreme bit-rate reduction scheme for 2D radar localization
• Compressive Classification (Machine Learning without learning)
• Compressive hyperspectral imaging: Fourier transform interferometry meets single pixel camera
• Compressive Sampling Approach for Image Acquisition with Lensless Endoscope
• Determination of vibration amplitudes from binary phase patterns obtained by phase-shifting time-averaged speckle shearing interferometry
• Multilevel Illumination Coding for Fourier Transform Interferometry in Fluorescence Spectroscopy
• Multispectral Compressive Imaging Strategies Using Fabry–Pérot Filtered Sensors
• Processing of binary fringe patterns obtained by phase-shifting time-averaged shearography on vibrating objects
• Quantized Compressive K-Means
• Reference-less algorithm for circumstellar disks imaging
• Taking the edge off quantization: projected back projection in dithered compressive sensing
• Through the Haze: a Non-Convex Approach to Blind Gain Calibration for Linear Random Sensing Models
• A greedy blind calibration method for compressed sensing with unknown sensor gains
• Compressive Hyperspectral Imaging using Coded Fourier Transform Interferometry
• Discriminative and efficient label propagation on complementary graphs for multi-object tracking
• Fast Method to Fit a C1 Piecewise-Bézier Function to Manifold-Valued Data Points: How Suboptimal is the Curve Obtained on the Sphere S2?
• On the Noise Robustness of Simultaneous Orthogonal Matching Pursuit
• Piecewise-Bezier C1 smoothing on manifolds with application to wind field estimation
• Rare Eclipses in Quantised Random Embeddings of Disjoint Convex Sets: a Matter of Consistency?
• Small Width, Low Distortions: Quantized Random Embeddings of Low-complexity Sets
• The Rare Eclipse Problem on Tiles: Quantised Embeddings of Disjoint Convex Sets
• Time for dithering: fast and quantized random embeddings via the restricted isometry property
• A Non-Convex Approach to Blind Calibration for Linear Random Sensing Models
• A Non-Convex Approach to Blind Calibration from Linear Sub-Gaussian Random Measurements
• A non-convex blind calibration method for randomised sensing strategies
• Blind Deconvolution of PET Images using Anatomical Priors
• Cell segmentation with random ferns and graph-cuts
• Coded-Illumination Fourier Transform Interferometry
• Compressive Hyperspectral Imaging with Fourier Transform Interferometry
• Consistent Basis Pursuit for Signal and Matrix Estimates in Quantized Compressed Sensing
• Error Decay of (almost) Consistent Signal Estimations from Quantized Gaussian Random Projections
• Image Deconvolution by Local Order Preservation of Pixels Values
• Improving the Correlation Lower Bound for Simultaneous Orthogonal Matching Pursuit
• Interpolation on manifolds using Bézier functions
• Low Rank and Group-Average Sparsity Driven Convex Optimization for Direct Exoplanets Imaging
• Non-Convex Blind Calibration for Compressed Sensing via Iterative Hard Thresholding
• Non-parametric PSF estimation from celestial transit solar images using blind deconvolution
• On The Exact Recovery Condition of Simultaneous Orthogonal Matching Pursuit
• Sparse Support Recovery with $ell_{infty}$ Data Fidelity
• Sparse Support Recovery with Non-smooth Loss Functions
• A Quantized Johnson Lindenstrauss Lemma: The Finding of Buffon's Needle
• Compressive Imaging and Characterization of Sparse Light Deflection Maps
• Generalized inpainting method for hyperspectral image acquisition
• Mitigating memory requirements for random trees/ferns
• Pilots allocation for sparse channel estimation in multicarrier systems
• Post-reconstruction deconvolution of PET images by total generalized variation regularization
• Quantitative characterization of biofunctionalization layers by robust image analysis for biosensor applications
• Quantization and Compressive Sensing
• A modified 4D ROOSTER method using the Chambolle-Pock algorithm
• A sparse smoothing approach for Gaussian mixture model based acoustic-to-articulatory inversion
• Compressive Hyperspectral Imaging by Out-of-Focus Modulations and Fabry-Pérot Spectral Filters
• Compressive optical deflectometric tomography: a constrained total-variation approach
• From bits to images: Inversion of local binary descriptors
• Heterogenous void growth revealed by in situ 3-D X-ray mocrotomography using automatic cavity tracking
• Robust phase unwrapping by convex optimization
• Bits of Images: Inverting Local Image Binary Descriptors
• Compressive Acquisition of Sparse Deflectometric Maps
• Compressive Schlieren Deflectometry
• Consistent Iterative Hard Thresholding for Signal Declipping
• Quantized Iterative Hard Thresholding: Bridging 1-bit and High-Resolution Quantized Compressed Sensing
• Robust 1-Bit Compressive Sensing via Binary Stable Embeddings of Sparse Vectors
• Stabilizing Nonuniformly Quantized Compressed Sensing with Scalar Companders
• Analysis and experimental evaluation of Image-based PUFs
• Image modeling with nonlocal spectral graph wavelets
• Iterative Hypothesis Testing for Multi-object Tracking with Noisy/Missing Appearance Features
• Sparsity-driven optical deflection tomography with non-linear light ray propagation
• The PANOPTIC Camera: A Plenoptic Sensor with Real-Time Omnidirectional Capability
• TV-$\ell_{2}$ Refractive Index Map Reconstruction from Polar Domain Deflectometry
• A panorama on multiscale geometric representations, intertwining spatial, directional and frequency selectivity
• Compact Rotation Invariant Image Descriptors By Spectral Trimming
• Compressed Sensing: When sparsity meets sampling
• Dequantizing Compressed Sensing: When Oversampling and Non-Gaussian Constraints Combine
• Diffeomorphic Registration of Images with Variable Contrast Enhancement
• Hardware Implementation of an Omnidirectional Camera for Real-Time 3D Imaging
• Primal-Dual TV Reconstruction in Refractive Deflectometry
• Refractive index map reconstruction in optical deflectometry using total-variation regularization
• Sparsity Driven People Localization with a Heterogeneous Network of Cameras
• Weighted $ell_{p}$ Constraints in Noisy Compressed Sensing
• Weighted fidelity in non-uniformly quantized compressed sensing
• A (256*256) pixel 76.7mW CMOS imager/ compressor based on real-time in-pixel compressive sensing:
• A short note on compressed sensing with partially known signal support
• Image denoising with nonlocal spectral graph wavelets
• Invariant Spectral Hashing of Image Saliency Graph
• Optical tomography based on phase-shifting schlieren deflectometry
• Random Profiles of Laser Marks
• Randomly Driven Fuzzy Key Extraction of Unclonable Images
• A Sparsity Constrained Inverse Problem to Locate People in a Network of Cameras
• CMOS Compressed Imaging by Random Convolution
• Compressed sensing for radio interferometry : prior-enhanced Basis Pursuit imaging techniques
• Compressed sensing imaging techniques for radio interferometry
• Compressive Sampling of Pulse Trains : Spread the Spectrum!
• Dequantizing Compressed Sensing with Non-Gaussian Constraints
• How does digital cinema compress images?
• Sparsity-driven people localization algorithm: evaluation in crowded scenes environments
• Sport players detection and tracking with a mixed network of planar and omnidirectional cameras
• TV-Regularized Generation of Planar Images from Omnicams
• A geometrical study of matching pursuit parametrization
• Shape from Texture for Omnidirectional Images
• Fast spin $\pm 2$ spherical harmonics transforms and application in cosmology
• Multiselective pyramidal decomposition of images: Wavelets with adaptive angular selectivity
• Fast directional correlation on the sphere with steerable filters
• Correspondence principle between spherical and Euclidean wavelets
• Wavelet spectrum analysis of EIT/SOHO images
• Discrete wavelet frames on the sphere
• Ondelettes, repères et couronne solaire
• The 2-D wavelet transform in image processing: Two novel applications
• The multiselectivity scheme: A pyramidal organization of wavelets with variable angular selectivity
• Traitement de l'image : de l'équation de la chaleur aux ondelettes
• Angular multiselectivity analysis of images
• Extracting the apparent motion from two successive EIT images
• Measuring a curvature radius with directional wavelets
• Multiscale observations of the solar atmosphere
• Application of the 2-D wavelet transform to astrophysical images
• Small features in the EIT-SoHO images
• Wavelets on the sphere: implementation and approximations
• Penrose tilings, quasicrystals, and wavelets
• Wavelet analysis of a quasiperiodic tiling with fivefold symmetry
• Optical deflection tomography with reconstruction based on sparsity