Iván Ramírez
Iván Ramírez
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Bayesian capsule networks for 3D human pose estimation from single 2D images
I Ramirez, A Cuesta-Infante, E Schiavi, JJ Pantrigo
Neurocomputing 379, 64-73, 2020
Convolutional neural networks for computer vision-based detection and recognition of dumpsters
I Ramírez, A Cuesta-Infante, JJ Pantrigo, AS Montemayor, JL Moreno, ...
Neural Computing and Applications 32, 13203-13211, 2020
Optimization of a variational model using deep learning: An application to brain tumor segmentation
I Ramírez, A Martín, E Schiavi
2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018), 2018
Non-convex non-local reactive flows for saliency detection and segmentation
G Galiano, I Ramírez, E Schiavi
Journal of Computational and Applied Mathematics 377, 112873, 2020
Rewriting meaningful sentences via conditional bert sampling and an application on fooling text classifiers
L Xu, I Ramirez, K Veeramachaneni
arXiv preprint arXiv:2010.11869, 2020
Computer vision‐based diameter maps to study fluoroscopic recordings of small intestinal motility from conscious experimental animals
I Ramírez, JJ Pantrigo, AS Montemayor, AE López‐Pérez, ...
Neurogastroenterology & Motility 29 (8), e13052, 2017
Learning fair classifiers in online stochastic settings
Y Sun, I Ramirez, A Cuesta-Infante, K Veeramachaneni
CoRR, abs/1908.07009, 2019
Modelling sparse saliency maps on manifolds: numerical results and applications
E Alcaín, AI Muńoz, I Ramírez, E Schiavi
Recent Advances in Differential Equations and Applications, 157-175, 2019
Towards Reducing Biases in Combining Multiple Experts Online
Y Sun, I Ramírez, A Cuesta-Infante, K Veeramachaneni
Variational and Deep Learning Methods in Computer Vision
I Ramírez Díaz
Universidad Rey Juan Carlos, 2019
Non-convex non-local flows for saliency detection
I Ramírez, G Galiano, E Schiavi
arXiv preprint arXiv:1805.09408, 2018
A Non-Local Diffusion Saliency Model for Magnetic Resonance Imaging
I Ramírez, G Galiano, N Malpica, E Schiavi
BIOIMAGING, 100-107, 2017
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