Nome |
# |
Loop Detection in Robotic Navigation Using MPEG CDVS, file e384c42e-c1b4-d4b2-e053-9f05fe0a1d67
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5.850
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Parallel H.264/AVC Fast Rate-Distortion Optimized Motion Estimation using Graphics Processing Unit and Dedicated Hardware, file e384c42e-39d3-d4b2-e053-9f05fe0a1d67
|
556
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Compressed sensing: basics and beyond (tutorial), file e384c42e-64ca-d4b2-e053-9f05fe0a1d67
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542
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A Tutorial on Image Compression for Optical Space Imaging Systems, file e384c42e-39d2-d4b2-e053-9f05fe0a1d67
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541
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Secure Compressed Sensing over Finite Fields, file e384c42e-3bbf-d4b2-e053-9f05fe0a1d67
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518
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Hardware and software architecture on board solar orbiter/METIS: an update, file e384c42e-3a3f-d4b2-e053-9f05fe0a1d67
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497
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Scale-Robust Compressive Camera Fingerprint Matching with Random Projections, file e384c42d-4ba5-d4b2-e053-9f05fe0a1d67
|
469
|
Analysis of One-Time Random Projections for Privacy Preserving Compressed Sensing, file e384c42e-76e8-d4b2-e053-9f05fe0a1d67
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454
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Analysis of the Security of Compressed Sensing with Circulant Matrices, file e384c42e-3bbc-d4b2-e053-9f05fe0a1d67
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441
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Image retrieval based on compressed camera sensor fingerprints, file e384c42d-bd95-d4b2-e053-9f05fe0a1d67
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412
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Distributed media-aware scheduling for P2P streaming with network coding, file e384c42e-2916-d4b2-e053-9f05fe0a1d67
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392
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Spectra and correlations in the solar wind from Voyager 2 around 5AU, file e384c42e-3480-d4b2-e053-9f05fe0a1d67
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387
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Energy-Saving Gossip Algorithm for Compressed Sensing in Multi-Agent Systems, file e384c42e-3267-d4b2-e053-9f05fe0a1d67
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377
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Distributed Support Detection of Jointly Sparse Signals, file e384c42e-3158-d4b2-e053-9f05fe0a1d67
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376
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Distributed ADMM for in-network reconstruction of sparse signals with innovations, file e384c42e-38c6-d4b2-e053-9f05fe0a1d67
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376
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Steerable Discrete Cosine Transform, file e384c42f-5d57-d4b2-e053-9f05fe0a1d67
|
375
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Network coding meets multimedia: a review, file e384c42e-24fc-d4b2-e053-9f05fe0a1d67
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358
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Steerable Discrete Cosine Transform, file e384c42e-d147-d4b2-e053-9f05fe0a1d67
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352
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Voyager 2 solar plasma and magnetic field spectral analysis for intermediate data sparsity, file e384c42f-12e3-d4b2-e053-9f05fe0a1d67
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339
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Randomized Algorithms for Distributed Nonlinear Optimization Under Sparsity Constraints, file e384c42e-a870-d4b2-e053-9f05fe0a1d67
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337
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Distributed Scheduling for Low-Delay and Loss-Resilient Media Streaming with Network Coding, file e384c42e-361a-d4b2-e053-9f05fe0a1d67
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321
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Fast and Robust EM-Based IRLS Algorithm for Sparse Signal Recovery from Noisy Measurements, file e384c42d-4ba6-d4b2-e053-9f05fe0a1d67
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316
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Compressive estimation and imaging based on autoregressive models, file e384c42f-7f7d-d4b2-e053-9f05fe0a1d67
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307
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Bayesian tuning for support detection and sparse signal estimation via iterative shrinkage-thresholding, file e384c42e-fe56-d4b2-e053-9f05fe0a1d67
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305
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METIS: the visible and UV coronagraph for Solar Orbiter, file e384c42e-3a3d-d4b2-e053-9f05fe0a1d67
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300
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Gaussian Mixtures Based IRLS for Sparse Recovery With Quadratic Convergence, file e384c42e-ffcb-d4b2-e053-9f05fe0a1d67
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281
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Distributed ADMM for In-Network Reconstruction of Sparse Signals With Innovations, file e384c42e-e972-d4b2-e053-9f05fe0a1d67
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279
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Low-power distributed sparse recovery testbed on wireless sensor networks, file e384c42f-634f-d4b2-e053-9f05fe0a1d67
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275
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Superpixel-driven graph transform for image compression, file e384c42e-c5cc-d4b2-e053-9f05fe0a1d67
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263
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Block-sparsity-based localization in wireless sensor networks, file e384c42d-c8ce-d4b2-e053-9f05fe0a1d67
|
259
|
Distributed Recovery of Jointly Sparse Signals Under Communication Constraints, file e384c42e-e6de-d4b2-e053-9f05fe0a1d67
|
253
|
Operational Rate–Distortion Performance of Single–source and Distributed Compressed Sensing, file e384c42e-3208-d4b2-e053-9f05fe0a1d67
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237
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Distributed covariance estimation for compressive signal processing, file e384c42e-c782-d4b2-e053-9f05fe0a1d67
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224
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A homography-based CDVS pipeline for image matching with improved resilience to viewpoint changes, file e384c42e-39de-d4b2-e053-9f05fe0a1d67
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220
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On the Security of Random Linear Measurements, file e384c42e-3269-d4b2-e053-9f05fe0a1d67
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219
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Binary Adaptive Embeddings from Order Statistics of Random Projections, file e384c42f-7b23-d4b2-e053-9f05fe0a1d67
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218
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Fast and Lightweight Rate Control for Onboard Predictive Coding of Hyperspectral Images, file e384c42f-785d-d4b2-e053-9f05fe0a1d67
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214
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Graded quantization for multiple description coding of compressive measurements, file e384c42e-3c09-d4b2-e053-9f05fe0a1d67
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209
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On the fly estimation of the sparsity degree in Compressed Sensing using sparse sensing matrices, file e384c42d-c1a1-d4b2-e053-9f05fe0a1d67
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206
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Predictive graph construction for image compression, file e384c42e-c5ca-d4b2-e053-9f05fe0a1d67
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203
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Sparse image recovery using compressed sensing over finite alphabets, file e384c42e-39d6-d4b2-e053-9f05fe0a1d67
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196
|
Autoregressive Process Parameter Estimation from Compressed Sensing Measurements, file e384c42e-c780-d4b2-e053-9f05fe0a1d67
|
177
|
A Novel Rate Control Algorithm for Onboard Predictive Coding of Multispectral and Hyperspectral Images, file e384c42e-2e2e-d4b2-e053-9f05fe0a1d67
|
174
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Compressive Hyperspectral Imaging using Progressive Total Variation, file e384c42e-320d-d4b2-e053-9f05fe0a1d67
|
167
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On-board lossless compression of solar corona images, file e384c42e-57c1-d4b2-e053-9f05fe0a1d67
|
162
|
Dictionary Design for Sensor Network Localization via Block-Sparsity, file e384c42e-c5cd-d4b2-e053-9f05fe0a1d67
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162
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SparseHash: Embedding Jaccard coefficient between supports of signals, file e384c42f-1dd1-d4b2-e053-9f05fe0a1d67
|
162
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Shot-based object retrieval from video with compressed Fisher vectors, file e384c42e-39e0-d4b2-e053-9f05fe0a1d67
|
157
|
A hardware-friendly architecture for onboard rate-controlled predictive coding of hyperspectral and multispectral images, file e384c42e-39d8-d4b2-e053-9f05fe0a1d67
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156
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Affine scale space for viewpoint invariant keypoint detection, file e384c42e-d6d1-d4b2-e053-9f05fe0a1d67
|
148
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Spectral Analysis in the Solar Wind and Heliosheath, file e384c42e-8ed0-d4b2-e053-9f05fe0a1d67
|
140
|
Signal sparsity estimation from compressive noisy projections via γ-sparsified random matrices, file e384c42e-f9d5-d4b2-e053-9f05fe0a1d67
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140
|
Graded quantization: democracy for multiple descriptions in compressed sensing, file e384c42e-2912-d4b2-e053-9f05fe0a1d67
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133
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Solar wind spectral analysis in heliosheath from Voyager data, file e384c42e-9265-d4b2-e053-9f05fe0a1d67
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129
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Turbulence in the Heliosheath: spectral analysis from Voyager 1 and 2 data, file e384c42e-9266-d4b2-e053-9f05fe0a1d67
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127
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Compressive signal processing with circulant sensing matrices, file e384c42e-320b-d4b2-e053-9f05fe0a1d67
|
126
|
Quadratically fast IRLS for sparse signal recovery, file e384c42e-5795-d4b2-e053-9f05fe0a1d67
|
126
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Distributed soft thresholding for sparse signal recovery, file e384c42e-2e28-d4b2-e053-9f05fe0a1d67
|
125
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Feedback-driven network coding for cooperative multimedia streaming, file e384c42e-2915-d4b2-e053-9f05fe0a1d67
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106
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Lossy Multi/Hyperspectral Compression HW Implementation at high data rate, file e384c42e-3a3c-d4b2-e053-9f05fe0a1d67
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103
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Curl-Constrained Gradient Estimation for Image Recovery from Highly Incomplete Spectral Data, file e384c42f-7ac3-d4b2-e053-9f05fe0a1d67
|
98
|
Joint recovery algorithms using difference of innovations for
distributed compressed sensing, file e384c42e-2e27-d4b2-e053-9f05fe0a1d67
|
97
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In-network reconstruction of jointly sparse signals with ADMM, file e384c42e-64c9-d4b2-e053-9f05fe0a1d67
|
97
|
Exact Performance Analysis of the Oracle receiver for Compressed Sensing Reconstruction, file e384c42e-3266-d4b2-e053-9f05fe0a1d67
|
94
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On the secrecy of compressive cryptosystems under finite-precision representation of sensing matrices, file e384c430-2687-d4b2-e053-9f05fe0a1d67
|
92
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Fast IRLS for sparse reconstruction based on gaussian mixtures, file e384c42e-5337-d4b2-e053-9f05fe0a1d67
|
86
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EO-ALERT: A Novel Architecture for the Next Generation of Earth Observation Satellites Supporting Rapid Civil Alerts, file e384c432-92b1-d4b2-e053-9f05fe0a1d67
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84
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Decoder driven adaptive distributed arithmetic coding, file e384c433-13e1-d4b2-e053-9f05fe0a1d67
|
81
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Distributed algorithms for in-network recovery of jointly sparse signals, file e384c42e-625b-d4b2-e053-9f05fe0a1d67
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80
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Constant-SNR, rate control and entropy coding for predictive lossy hyperspectral image compression, file e384c42f-1da2-d4b2-e053-9f05fe0a1d67
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79
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EO-ALERT: NEXT GENERATION SATELLITE PROCESSING CHAIN FOR RAPID CIVIL ALERTS, file e384c430-856d-d4b2-e053-9f05fe0a1d67
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67
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Low-complexity and error-resilient hyperspectral image compression based on distributed source coding, file e384c432-ebd1-d4b2-e053-9f05fe0a1d67
|
66
|
Deep Learning For Super-Resolution Of Unregistered Multi-Temporal Satellite Images, file e384c431-5a80-d4b2-e053-9f05fe0a1d67
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64
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Advanced Data Chain Technologies for the Next Generation of Earth Observation Satellites Supporting On-Board Processing for Rapid Civil Alerts, file e384c434-1b3b-d4b2-e053-9f05fe0a1d67
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63
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Learning Graph-Convolutional Representations for Point Cloud Denoising, file e384c432-8620-d4b2-e053-9f05fe0a1d67
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61
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GPU-accelerated algorithms for compressed signals recovery with application to astronomical imagery deblurring, file e384c42f-fba0-d4b2-e053-9f05fe0a1d67
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58
|
Deep Learning Methods for Synthetic Aperture Radar Image Despeckling: An Overview of Trends and Perspectives, file e384c433-e3c7-d4b2-e053-9f05fe0a1d67
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57
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Point Cloud Normal Estimation with Graph-Convolutional Neural Networks, file e384c432-7b50-d4b2-e053-9f05fe0a1d67
|
53
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Beyond cross-entropy: learning highly separable feature distributions for robust and accurate classification, file e384c433-0eba-d4b2-e053-9f05fe0a1d67
|
52
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Quadratically fast IRLS for sparse signal recovery, file e384c42e-5336-d4b2-e053-9f05fe0a1d67
|
50
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Using CCSDS image compression standard for SAR raw data compression in the H2020 EO-ALERT project, file e384c430-76ab-d4b2-e053-9f05fe0a1d67
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49
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Online convex optimization meets sparsity, file e384c42f-fae3-d4b2-e053-9f05fe0a1d67
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44
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BioMetricNet: deep unconstrained face verification through learning of metrics regularized onto Gaussian distributions, file e384c432-8718-d4b2-e053-9f05fe0a1d67
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42
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Selective encryption in the CCSDS standard for lossless and near-lossless multispectral and hyperspectral image compression, file e384c432-5c9e-d4b2-e053-9f05fe0a1d67
|
41
|
Learning Localized Representations of Point Clouds with Graph-Convolutional Generative Adversarial Networks, file e384c432-ad3f-d4b2-e053-9f05fe0a1d67
|
41
|
Learning and Adapting Robust Features for Satellite Image Segmentation on Heterogeneous Datasets, file e384c430-70a0-d4b2-e053-9f05fe0a1d67
|
39
|
Secrecy Analysis of Finite-Precision Compressive Cryptosystems, file e384c430-e488-d4b2-e053-9f05fe0a1d67
|
38
|
Learning Robust Graph-Convolutional Representations for Point Cloud Denoising, file e384c433-46b2-d4b2-e053-9f05fe0a1d67
|
36
|
DeepSUM: Deep Neural Network for Super-Resolution of Unregistered Multitemporal Images, file e384c432-29c8-d4b2-e053-9f05fe0a1d67
|
35
|
Point Cloud Denoising using Joint Geometry/Color Graph Wavelets, file e384c432-e903-d4b2-e053-9f05fe0a1d67
|
35
|
Satellite Image Segmentation with Deep Residual Architectures for Time-Critical Applications, file e384c430-78c0-d4b2-e053-9f05fe0a1d67
|
34
|
Very Low Latency Architecture for Earth Observation Satellite Onboard Data Handling, Compression, and Encryption, file e384c434-0bf7-d4b2-e053-9f05fe0a1d67
|
34
|
ToothPic: camera-based image retrieval on large scales, file e384c430-725a-d4b2-e053-9f05fe0a1d67
|
33
|
Denoise and Contrast for Category Agnostic Shape Completion, file e384c433-dca8-d4b2-e053-9f05fe0a1d67
|
33
|
Toothpic: Who took this picture?, file e384c42f-f28c-d4b2-e053-9f05fe0a1d67
|
32
|
Compression algorithm for Multi Element Telescope for Imaging and Spectroscopy (METIS), file e384c430-86c7-d4b2-e053-9f05fe0a1d67
|
32
|
The new CCSDS standard for low-complexity lossless and near-lossless multispectral and hyperspectral image compression, file e384c430-84d7-d4b2-e053-9f05fe0a1d67
|
31
|
High-throughput onboard hyperspectral image compression with ground-based CNN reconstruction, file e384c431-3ee7-d4b2-e053-9f05fe0a1d67
|
31
|
Complexity-adaptive random network coding for peer-to-peer video streaming, file e384c42e-0c7f-d4b2-e053-9f05fe0a1d67
|
30
|
Compression algorithm and implementation for the PRISMA mission, file e384c430-86c9-d4b2-e053-9f05fe0a1d67
|
30
|
Totale |
24.173 |