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ORCIDAdrián Martín
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2020 – today
- 2021
[i7]Adrià Arbués Sangüesa, Adrián Martín, Paulino Granero, Coloma Ballester, Gloria Haro:
Learning Football Body-Orientation as a Matter of Classification. CoRR abs/2106.00359 (2021)- 2020
- [c10]Adrià Arbués Sangüesa, Adrián Martín, Javier Fernández
, Coloma Ballester, Gloria Haro:
Using Player's Body-Orientation to Model Pass Feasibility in Soccer. CVPR Workshops 2020: 3875-3884 - [c9]Adrià Arbués Sangüesa, Adrián Martín, Javier Fernández, Carlos Rodríguez, Gloria Haro, Coloma Ballester:
Always Look On The Bright Side Of The Field: Merging Pose And Contextual Data To Estimate Orientation Of Soccer Players. ICIP 2020: 1506-1510 - [i6]Adrià Arbués Sangüesa, Adrián Martín, Javier Fernández, Carlos Rodríguez, Gloria Haro, Coloma Ballester:
Always Look on the Bright Side of the Field: Merging Pose and Contextual Data to Estimate Orientation of Soccer Players. CoRR abs/2003.00943 (2020) - [i5]Adrià Arbués Sangüesa, Adrián Martín, Javier Fernández, Coloma Ballester, Gloria Haro:
Using Player's Body-Orientation to Model Pass Feasibility in Soccer. CoRR abs/2004.07209 (2020)
2010 – 2019
- 2019
- [c8]Alexander Gómez-Villa, Adrián Martín, Javier Vazquez-Corral, Marcelo Bertalmío:
Convolutional Neural Networks Can Be Deceived by Visual Illusions. CVPR 2019: 12309-12317 - [i4]Alexander Gómez-Villa, Adrián Martín, Javier Vazquez-Corral, Jesús Malo, Marcelo Bertalmío:
Synthesizing Visual Illusions Using Generative Adversarial Networks. CoRR abs/1911.09599 (2019) - [i3]Alexander Gómez-Villa, Adrián Martín, Javier Vazquez-Corral, Marcelo Bertalmío, Jesus Malo:
Visual Illusions Also Deceive Convolutional Neural Networks: Analysis and Implications. CoRR abs/1912.01643 (2019) - 2018
- [c7]Iván Ramírez, Adrián Martín, Emanuele Schiavi:
Optimization of a variational model using deep learning: An application to brain tumor segmentation. ISBI 2018: 631-634 - [i2]Alexander Gómez-Villa, Adrián Martín, Javier Vazquez-Corral, Marcelo Bertalmío:
Convolutional Neural Networks Deceived by Visual Illusions. CoRR abs/1811.10565 (2018) - 2017
- [j1]Adrián Martín, Emanuele Schiavi, Sergio Segura de León:
On 1-Laplacian Elliptic Equations Modeling Magnetic Resonance Image Rician Denoising. J. Math. Imaging Vis. 57(2): 202-224 (2017) - 2015
- [c6]Itthi Chatnuntawech, Berkin Bilgic, Adrián Martín, Kawin Setsompop, Elfar Adalsteinsson:
Fast reconstruction for accelerated multi-slice multi-contrast MRI. ISBI 2015: 335-338 - [i1]Adrián Martín, Emanuele Schiavi, Sergio Segura de León:
On 1-Laplacian Elliptic Equations Modeling Magnetic Resonance Image Rician Denoising. CoRR abs/1510.02923 (2015) - 2014
- [c5]Adrián Martín, Emanuele Schiavi:
Noise Modelling in Parallel Magnetic Resonance Imaging: A Variational Approach. ICIAR (1) 2014: 121-128 - 2013
- [c4]Adrián Martín, Emanuele Schiavi:
Automatic Total Generalized Variation-Based DTI Rician Denoising. ICIAR 2013: 581-588 - 2012
- [c3]Adrián Martín, Juan Francisco Garamendi, Emanuele Schiavi:
An Efficient Numerical Resolution for MRI Rician Denoising. BIOSIGNALS 2012: 15-24 - [c2]Adrián Martín, Juan Francisco Garamendi, Emanuele Schiavi:
MRI TV-Rician Denoising. BIOSTEC (Selected Papers) 2012: 255-268 - [c1]Adrián Martín, Juan Francisco Garamendi, Emanuele Schiavi:
Two efficient primal-dual algorithms for MRI Rician denoising. CompIMAGE 2012: 291-296
Coauthor Index
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