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 |
|
|