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Author Title Year Publication Volume Pages
Axel Barroso-Laguna; Edgar Riba; Daniel Ponsa; Krystian Mikolajczyk Key.Net: Keypoint Detection by Handcrafted and Learned CNN Filters 2019 18th IEEE International Conference on Computer Vision 5835-5843
Javad Zolfaghari Bengar; Abel Gonzalez-Garcia; Gabriel Villalonga; Bogdan Raducanu; Hamed H. Aghdam; Mikhail Mozerov; Antonio Lopez; Joost Van de Weijer Temporal Coherence for Active Learning in Videos 2019 IEEE International Conference on Computer Vision Workshops 914-923
David Berga; Xose R. Fernandez-Vidal; Xavier Otazu; Xose M. Pardo SID4VAM: A Benchmark Dataset with Synthetic Images for Visual Attention Modeling 2019 18th IEEE International Conference on Computer Vision 8788-8797
Hamed H. Aghdam; Abel Gonzalez-Garcia; Joost Van de Weijer; Antonio Lopez Active Learning for Deep Detection Neural Networks 2019 18th IEEE International Conference on Computer Vision 3672-3680
Felipe Codevilla; Eder Santana; Antonio Lopez; Adrien Gaidon Exploring the Limitations of Behavior Cloning for Autonomous Driving 2019 18th IEEE International Conference on Computer Vision 9328-9337
Reza Azad; Maryam Asadi Aghbolaghi; Mahmood Fathy; Sergio Escalera Bi-Directional ConvLSTM U-Net with Densley Connected Convolutions 2019 Visual Recognition for Medical Images workshop 406-415
Mohammed Al Rawi; Ernest Valveny Compact and Efficient Multitask Learning in Vision, Language and Speech 2019 IEEE International Conference on Computer Vision Workshops 2933-2942
Alejandro Cartas; Jordi Luque; Petia Radeva; Carlos Segura; Mariella Dimiccoli Seeing and Hearing Egocentric Actions: How Much Can We Learn? 2019 IEEE International Conference on Computer Vision Workshops 4470-4480
Aura Hernandez-Sabate; Debora Gil; David Roche; Monica M. S. Matsumoto; Sergio S. Furuie Inferring the Performance of Medical Imaging Algorithms 2011 14th International Conference on Computer Analysis of Images and Patterns 6854 520-528
O. Rodriguez; J. Mauri; E Fernandez-Nofrerias; A. Tovar; R. Villuendas; V. Valle; Oriol Pujol; Petia Radeva Analisis de texturas mediante la modificacion de un modelo binario local para la segmentacion automatica de secuencias de ecografia intracoronaria 2003 Revista Española de Cardiologia (IF: 0.959), 56(2), Congreso de las Enfermedades Cardiovasculares
O. Rodriguez; J. Mauri; E Fernandez-Nofrerias; J. Lopez; A. Tovar; V. Valle; David Rotger; Petia Radeva Cuantificacion tridimensional de la longitud de segmentos coronarios a partir de secuencias de ecografia intracoronaria 2003 Revista Española de Cardiologia (IF: 0.959), 56(2), Congreso de las Enfermedades Cardiovasculares
O. Rodriguez; J. Mauri; E Fernandez-Nofrerias; J. Lopez; A. Tovar; R. Villuendas; V. Valle; Misael Rosales; Petia Radeva Modelo fisico para la simulacion de imagenes de ecografia intracoronaria 2003 Revista Española de Cardiologia (IF: 0.959), 56(2), Congreso de las Enfermedades Cardiovasculares
M. Bressan; Jordi Vitria Improving Naive Bayes using Class Condicitonal ICA. 2002 Iberoamerican Conference on Artificial Intelligence IBERAMIA 2002.
Oriol Pujol; Petia Radeva; J. Mauri; E Fernandez-Nofrerias Automatic segmentation of lumen in Intravascular Ultrasound Images: An evaluation of texture feature extractors. 2002 Iberoamerican Conference on Artificial Intelligence IBERAMIA 2002, Springer Verlag
Fernando Vilariño; Petia Radeva Patch-Optimized Discriminant Active Contours for Medical Image Segmentation. 2002 Iberoamerican Conference on Artificial Intelligence