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Guim Perarnau, Joost Van de Weijer, Bogdan Raducanu and Jose Manuel Alvarez. 2016. Invertible conditional gans for image editing. 30th Annual Conference on Neural Information Processing Systems Worshops.
Abstract: Generative Adversarial Networks (GANs) have recently demonstrated to successfully approximate complex data distributions. A relevant extension of this model is conditional GANs (cGANs), where the introduction of external information allows to determine specific representations of the generated images. In this work, we evaluate encoders to inverse the mapping of a cGAN, i.e., mapping a real image into a latent space and a conditional representation. This allows, for example, to reconstruct and modify real images of faces conditioning on arbitrary attributes.
Additionally, we evaluate the design of cGANs. The combination of an encoder
with a cGAN, which we call Invertible cGAN (IcGAN), enables to re-generate real
images with deterministic complex modifications.
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Ariel Amato, Angel Sappa, Alicia Fornes, Felipe Lumbreras and Josep Llados. 2013. Divide and Conquer: Atomizing and Parallelizing A Task in A Mobile Crowdsourcing Platform. 2nd International ACM Workshop on Crowdsourcing for Multimedia.21–22.
Abstract: In this paper we present some conclusions about the advantages of having an efficient task formulation when a crowdsourcing platform is used. In particular we show how the task atomization and distribution can help to obtain results in an efficient way. Our proposal is based on a recursive splitting of the original task into a set of smaller and simpler tasks. As a result both more accurate and faster solutions are obtained. Our evaluation is performed on a set of ancient documents that need to be digitized.
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M. Cruz, Cristhian A. Aguilera-Carrasco, Boris X. Vintimilla, Ricardo Toledo and Angel Sappa. 2015. Cross-spectral image registration and fusion: an evaluation study. 2nd International Conference on Machine Vision and Machine Learning.
Abstract: This paper presents a preliminary study on the registration and fusion of cross-spectral imaging. The objective is to evaluate the validity of widely used computer vision approaches when they are applied at different
spectral bands. In particular, we are interested in merging images from the infrared (both long wave infrared: LWIR and near infrared: NIR) and visible spectrum (VS). Experimental results with different data sets are presented.
Keywords: multispectral imaging; image registration; data fusion; infrared and visible spectra
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X. Orriols, Ricardo Toledo, X. Binefa, Petia Radeva, Jordi Vitria and Juan J. Villanueva. 2000. Probabilistic Saliency Approach for Elongated Structure Detection using Deformable Models. 15 th International Conference on Pattern Recognition.1006–1009.
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David Lloret, Joan Serrat, Antonio Lopez, A. Soler and Juan J. Villanueva. 2000. Retinal image registration using creases as anatomical landmarks. 15 th International Conference on Pattern Recognition.207–2010.
Abstract: Retinal images are routinely used in ophthalmology to study the optical nerve head and the retina. To assess objectively the evolution of an illness, images taken at different times must be registered. Most methods so far have been designed specifically for a single image modality, like temporal series or stereo pairs of angiographies, fluorescein angiographies or scanning laser ophthalmoscope (SLO) images, which makes them prone to fail when conditions vary. In contrast, the method we propose has shown to be accurate and reliable on all the former modalities. It has been adapted from the 3D registration of CT and MR image to 2D. Relevant features (also known as landmarks) are extracted by means of a robust creaseness operator, and resulting images are iteratively transformed until a maximum in their correlation is achieved. Our method has succeeded in more than 100 pairs tried so far, in all cases including also the scaling as a parameter to be optimized
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Ricardo Toledo and 6 others. 2000. Eigensnakes for vessel segmentation in angiography. 15 th International Conference on Pattern Recognition.340–343.
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A. Pujol, Felipe Lumbreras, Javier Varona and Juan J. Villanueva. 2000. Locating people in indoor scenes for real applications. 15 th International Conference on Pattern Recognition.632–635.
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Cristina Cañero, Petia Radeva, Ricardo Toledo, Juan J. Villanueva and J. Mauri. 2000. 3D Curve Reconstruction by Biplane Snakes. 15 th International Conference on Pattern Recognition.563–566.
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David Lloret, Antonio Lopez and Joan Serrat. 1997. Rigid Registration of CT and MR volumes based on Rothes creases. (SNRFAI’97) 7th Spanish National Symposium on Pattern Recognition and Image Analysis.1–6.
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Joan Serrat, Antonio Lopez and David Lloret. 2000. On ridges and valleys. 15 th International Conference on Pattern Recognition.59–66.
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