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Pablo Musé
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2020 – today
- 2024
- [j24]Marina Gardella, Pablo Musé, Miguel Colom, Jean-Michel Morel
:
Image Forgery Detection Based on Noise Inspection: Analysis and Refinement of the Noisesniffer Method. Image Process. Line 14: 86-115 (2024) - [j23]Matías Tailanián, Álvaro Pardo, Pablo Musé:
U-Flow: A U-Shaped Normalizing Flow for Anomaly Detection with Unsupervised Threshold. J. Math. Imaging Vis. 66(4): 678-696 (2024) - [c28]Santiago Fernández
Deep-TEMPEST: Using Deep Learning to Eavesdrop on HDMI from its Unintended Electromagnetic Emanations. LADC 2024: 91-100 - [c27]Santiago Suárez, Diego Pereyra, Juan Pablo de Souza, Pablo Musé, Juan Pablo Oliver, Pablo Monzón:
PicassoBotZ, a Robotic Artist with Human-Like Drawing Execution. LASCAS 2024: 1-5 - [c26]Matías Tailanián, Marina Gardella, Álvaro Pardo, Pablo Musé:
Diffusion models meet image counter-forensics. WACV 2024: 3913-3923 - [i15]Santiago Fernández, Emilio Martínez, Gabriel Varela, Pablo Musé, Federico Larroca:
Deep-TEMPEST: Using Deep Learning to Eavesdrop on HDMI from its Unintended Electromagnetic Emanations. CoRR abs/2407.09717 (2024) - 2023
- [j22]Guillermo Carbajal
Blind Motion Deblurring With Pixel-Wise Kernel Estimation via Kernel Prediction Networks. IEEE Trans. Computational Imaging 9: 928-943 (2023) - [c25]Marina Gardella, Pablo Musé, Miguel Colom, Jean-Michel Morel
PRNU-Based Source Camera Statistical Certification. WIFS 2023: 1-6 - [i14]Guillermo Carbajal
Blind Motion Deblurring with Pixel-Wise Kernel Estimation via Kernel Prediction Networks. CoRR abs/2308.02947 (2023) - [i13]Matías Tailanián, Marina Gardella, Álvaro Pardo, Pablo Musé:
Diffusion models meet image counter-forensics. CoRR abs/2311.13629 (2023) - 2022
- [j21]Marina Gardella
Forensic Similarity for Source Camera Model Comparison. Image Process. Line 12: 480-489 (2022) - [j20]Marina Gardella
Image Forgery Detection via Forensic Similarity Graphs. Image Process. Line 12: 490-500 (2022) - [i12]Matías Tailanián, Pablo Musé, Álvaro Pardo:
A Contrario multi-scale anomaly detection method for industrial quality inspection. CoRR abs/2205.11611 (2022) - [i11]Guillermo Carbajal
Rethinking Motion Deblurring Training: A Segmentation-Based Method for Simulating Non-Uniform Motion Blurred Images. CoRR abs/2209.12675 (2022) - [i10]Matías Tailanián, Álvaro Pardo, Pablo Musé:
U-Flow: A U-shaped Normalizing Flow for Anomaly Detection with Unsupervised Threshold. CoRR abs/2211.12353 (2022) - 2021
- [j19]Marina Gardella
Forgery Detection in Digital Images by Multi-Scale Noise Estimation. J. Imaging 7(7): 119 (2021) - [c24]Matías Tailanián, Pablo Musé, Álvaro Pardo:
A Multi-Scale A Contrario method for Unsupervised Image Anomaly Detection. ICMLA 2021: 179-184 - [c23]Adrián Cal, Javier Preciozzi, Pablo Musé:
Automatic Classification of Agricultural Summer Crops in Uruguay. IGARSS 2021: 6520-6523 - [c22]Marina Gardella
Noisesniffer: a Fully Automatic Image Forgery Detector Based on Noise Analysis. IWBF 2021: 1-6 - [i9]Guillermo Carbajal, Patricia Vitoria, Mauricio Delbracio, Pablo Musé, José Lezama:
Single Image Non-uniform Blur Kernel Estimation via Adaptive Basis Decomposition. CoRR abs/2102.01026 (2021) - [i8]Matías Tailanián, Pablo Musé, Álvaro Pardo:
A Multi-Scale A Contrario method for Unsupervised Image Anomaly Detection. CoRR abs/2110.02407 (2021) - 2020
- [c21]Mariano Rodríguez, Gabriele Facciolo, Rafael Grompone von Gioi, Pablo Musé, Julie Delon, Jean-Michel Morel
Cnn-Assisted Coverings In The Space Of Tilts: Best Affine Invariant Performances With The Speed Of Cnns. ICIP 2020: 2201-2205 - [c20]Mariano Rodríguez, Gabriele Facciolo, Rafael Grompone von Gioi, Pablo Musé, Julie Delon:
Robust estimation of local affine maps and its applications to image matching. WACV 2020: 1331-1340
2010 – 2019
- 2019
- [c19]Mariano Rodríguez, Gabriele Facciolo, Rafael Grompone von Gioi, Pablo Musé, Jean-Michel Morel
SIFT-AID: Boosting Sift With an Affine Invariant Descriptor Based on Convolutional Neural Networks. ICIP 2019: 4225-4229 - [i7]Mario González, Andrés Almansa
Solving Inverse Problems by Joint Posterior Maximization with a VAE Prior. CoRR abs/1911.06379 (2019) - 2018
- [c18]Mario González, Javier Preciozzi, Pablo Musé, Andrés Almansa:
Joint denoising and decompression using CNN regularization. CVPR Workshops 2018: 2598-2601 - [c17]José Lezama, Qiang Qiu, Pablo Musé, Guillermo Sapiro:
OLÉ: Orthogonal Low-Rank Embedding - A Plug and Play Geometric Loss for Deep Learning. CVPR 2018: 8109-8118 - 2017
- [j18]Cecilia Aguerrebere
A Bayesian Hyperprior Approach for Joint Image Denoising and Interpolation, With an Application to HDR Imaging. IEEE Trans. Computational Imaging 3(4): 633-646 (2017) - [j17]Javier Preciozzi, Andrés Almansa
A Sparsity-Based Variational Approach for the Restoration of SMOS Images From L1A Data. IEEE Trans. Geosci. Remote. Sens. 55(5): 2811-2826 (2017) - [c16]Javier Preciozzi, Mario González, Andrés Almansa
Joint denoising and decompression: A patch-based Bayesian approach. ICIP 2017: 1252-1256 - [i6]Cecilia Aguerrebere, Andrés Almansa, Julie Delon, Yann Gousseau, Pablo Musé:
A Bayesian Hyperprior Approach for Joint Image Denoising and Interpolation, with an Application to HDR Imaging. CoRR abs/1706.03261 (2017) - [i5]José Lezama, Qiang Qiu, Pablo Musé, Guillermo Sapiro:
OLÉ: Orthogonal Low-rank Embedding, A Plug and Play Geometric Loss for Deep Learning. CoRR abs/1712.01727 (2017) - 2016
- [c15]Marcelo Fiori, Pablo Musé, Mariano Tepper, Guillermo Sapiro:
Tell me where you are and I tell you where you are going: Estimation of dynamic mobility graphs. SAM 2016: 1-5 - 2015
- [j16]Mauricio Delbracio, Pablo Musé, Antoni Buades
Accelerating Monte Carlo Renderers by Ray Histogram Fusion. Image Process. Line 5: 55-72 (2015) - 2014
- [j15]Marcelo Fiori
A Complete System for Candidate Polyps Detection in Virtual Colonoscopy. Int. J. Pattern Recognit. Artif. Intell. 28(7) (2014) - [j14]Mariano Tepper, Pablo Musé, Andrés Almansa
On the Role of Contrast and Regularity in Perceptual Boundary Saliency. J. Math. Imaging Vis. 48(3): 396-412 (2014) - [j13]Mariano Tepper, Pablo Musé, Andrés Almansa
Finding contrasted and regular edges by a contrario detection of periodic subsequences. Pattern Recognit. 47(1): 72-79 (2014) - [j12]Cecilia Aguerrebere, Julie Delon
Best Algorithms for HDR Image Generation. A Study of Performance Bounds. SIAM J. Imaging Sci. 7(1): 1-34 (2014) - [j11]Mauricio Delbracio, Pablo Musé, Antoni Buades
Boosting monte carlo rendering by ray histogram fusion. ACM Trans. Graph. 33(1): 8:1-8:15 (2014) - [c14]Cecilia Aguerrebere, Andrés Almansa
Single shot high dynamic range imaging using piecewise linear estimators. ICCP 2014: 1-10 - [c13]Javier Freciozzi, Pablo Musé, Andrés Almansa
SMOS images restoration from L1A data: A sparsity-based variational approach. IGARSS 2014: 2487-2490 - 2013
- [j10]Mauricio Delbracio, Andrés Almansa
Recovering the Subpixel PSF from Two Photographs at Different Distances. Image Process. Line 3: 242-251 (2013) - [c12]Marcelo Fiori, Pablo Musé, Guillermo Sapiro:
Polyps Flagging in Virtual Colonoscopy. CIARP (2) 2013: 181-189 - [c11]Mariano Tepper, Pablo Musé, Andrés Almansa
Boruvka Meets Nearest Neighbors. CIARP (2) 2013: 560-567 - [c10]Cecilia Aguerrebere, Julie Delon, Yann Gousseau, Pablo Musé:
Simultaneous HDR image reconstruction and denoising for dynamic scenes. ICCP 2013: 1-11 - [c9]Marcelo Fiori, Pablo Sprechmann, Joshua T. Vogelstein, Pablo Musé, Guillermo Sapiro:
Robust Multimodal Graph Matching: Sparse Coding Meets Graph Matching. NIPS 2013: 127-135 - [i4]Marcelo Fiori, Pablo Sprechmann, Joshua T. Vogelstein, Pablo Musé, Guillermo Sapiro:
Robust Multimodal Graph Matching: Sparse Coding Meets Graph Matching. CoRR abs/1311.6425 (2013) - 2012
- [j9]Mauricio Delbracio, Pablo Musé, Andrés Almansa
The Non-parametric Sub-pixel Local Point Spread Function Estimation Is a Well Posed Problem. Int. J. Comput. Vis. 96(2): 175-194 (2012) - [j8]Mauricio Delbracio, Pablo Musé, Andrés Almansa
Non-parametric Sub-pixel Local Point Spread Function Estimation. Image Process. Line 2: 8-21 (2012) - [j7]Mauricio Delbracio, Andrés Almansa
Subpixel Point Spread Function Estimation from Two Photographs at Different Distances. SIAM J. Imaging Sci. 5(4): 1234-1260 (2012) - [c8]Mariano Tepper, Pablo Musé, Andrés Almansa, Marta Mejail:
Finding Edges by a Contrario Detection of Periodic Subsequences. CIARP 2012: 773-780 - [c7]Javier Preciozzi, Pablo Musé, Andrés Almansa
Sparsity-based restoration of SMOS images in the presence of outliers. IGARSS 2012: 3501-3504 - [c6]Marcelo Fiori, Pablo Musé, Guillermo Sapiro:
Topology Constraints in Graphical Models. NIPS 2012: 800-808 - [i3]Marcelo Fiori, Pablo Musé, Guillermo Sapiro:
A Complete System for Candidate Polyps Detection in Virtual Colonoscopy. CoRR abs/1209.6525 (2012) - [i2]Mariano Tepper, Pablo Musé, Andrés Almansa:
On the Role of Contrast and Regularity in Perceptual Boundary Saliency. CoRR abs/1210.3718 (2012) - 2011
- [j6]Mariano Tepper, Pablo Musé, Andrés Almansa
Automatically finding clusters in normalized cuts. Pattern Recognit. 44(7): 1372-1386 (2011) - [j5]Germán Capdehourat, Andrés Corez, Anabella Bazzano, Rodrigo Alonso
Toward a combined tool to assist dermatologists in melanoma detection from dermoscopic images of pigmented skin lesions. Pattern Recognit. Lett. 32(16): 2187-2196 (2011) - [i1]Mariano Tepper, Pablo Musé, Andrés Almansa:
Meaningful Clustered Forest: an Automatic and Robust Clustering Algorithm. CoRR abs/1104.0651 (2011)
2000 – 2009
- 2009
- [c5]Mariano Tepper, Francisco Gómez Fernández, Pablo Musé, Andrés Almansa
Morphological Shape Context: Semi-locality and Robust Matching in Shape Recognition. CIARP 2009: 129-136 - [c4]Germán Capdehourat, Andrés Corez, Anabella Bazzano, Pablo Musé:
Pigmented Skin Lesions Classification Using Dermatoscopic Images. CIARP 2009: 537-544 - [c3]Cecilia Aguerrebere, Pablo Sprechmann, Pablo Musé, Rodolfo Ferrando
A-Contrario Localization of Epileptogenic Zones in Spect Images. ISBI 2009: 570-573 - 2008
- [j4]Sébastien Leprince, Pablo Musé, Jean-Philippe Avouac
In-Flight CCD Distortion Calibration for Pushbroom Satellites Based on Subpixel Correlation. IEEE Trans. Geosci. Remote. Sens. 46(9): 2675-2683 (2008) - 2007
- [j3]Frédéric Cao, Julie Delon, Agnès Desolneux, Pablo Musé, Frédéric Sur:
A Unified Framework for Detecting Groups and Application to Shape Recognition. J. Math. Imaging Vis. 27(2): 91-119 (2007) - 2006
- [j2]Pablo Musé, Frédéric Sur, Frédéric Cao, Yann Gousseau, Jean-Michel Morel:
An A Contrario Decision Method for Shape Element Recognition. Int. J. Comput. Vis. 69(3): 295-315 (2006) - [c2]Andrea Cerri
Shape Recognition Via an a Contrario Model for Size Functions. ICIAR (2) 2006: 410-421 - [p1]Pablo Musé, Frédéric Sur, Frédéric Cao, Yann Gousseau, Jean-Michel Morel:
Shape Recognition Based on an a Contrario Methodology. Statistics and Analysis of Shapes 2006: 107-136 - 2005
- [j1]Frédéric Cao, Pablo Musé, Frédéric Sur:
Extracting Meaningful Curves from Images. J. Math. Imaging Vis. 22(2-3): 159-181 (2005) - 2003
- [c1]Pablo Musé, Frédéric Sur, Frédéric Cao, Yann Gousseau:
Unsupervised thresholds for shape matching. ICIP (2) 2003: 647-650
Coauthor Index
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last updated on 2024-12-23 19:27 CET by the dblp team
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