Author ![sorted by Author field, descending order (down)](img/sort_desc.gif) |
Title |
Year |
Publication |
Volume |
Pages |
David Fernandez; Josep Llados; Alicia Fornes |
A graph-based approach for segmenting touching lines in historical handwritten documents |
2014 |
International Journal on Document Analysis and Recognition |
17 |
293-312 |
David Fernandez; Jon Almazan; Nuria Cirera; Alicia Fornes; Josep Llados |
BH2M: the Barcelona Historical Handwritten Marriages database |
2014 |
22nd International Conference on Pattern Recognition |
|
256 - 261 |
David Fernandez |
Handwritten Word Spotting in Old Manuscript Images using Shape Descriptors |
2010 |
CVC Technical Report |
161 |
|
David Fernandez |
Contextual Word Spotting in Historical Handwritten Documents |
2014 |
PhD Thesis, Universitat Autonoma de Barcelona-CVC |
|
|
David Dueñas; Mostafa Kamal; Petia Radeva |
Efficient Deep Learning Ensemble for Skin Lesion Classification |
2023 |
Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications |
|
303-314 |
David Curto; Albert Clapes; Javier Selva; Sorina Smeureanu; Julio C. S. Jacques Junior; David Gallardo-Pujol; Georgina Guilera; David Leiva; Thomas B. Moeslund; Sergio Escalera; Cristina Palmero |
Dyadformer: A Multi-Modal Transformer for Long-Range Modeling of Dyadic Interactions |
2021 |
IEEE/CVF International Conference on Computer Vision Workshops |
|
2177-2188 |
David Castells; Vinh Ngo; Juan Borrego-Carazo; Marc Codina; Carles Sanchez; Debora Gil; Jordi Carrabina |
A Survey of FPGA-Based Vision Systems for Autonomous Cars |
2022 |
IEEE Access |
10 |
132525-132563 |
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 |
David Berga; Xose R. Fernandez-Vidal; Xavier Otazu; Victor Leboran; Xose M. Pardo |
Measuring bottom-up visual attention in eye tracking experimentation with synthetic images |
2019 |
8th Iberian Conference on Perception |
|
|
David Berga; Xose R. Fernandez-Vidal; Xavier Otazu; V. Leboran; Xose M. Pardo |
Psychophysical evaluation of individual low-level feature influences on visual attention |
2019 |
Vision Research |
154 |
60-79 |
David Berga; Xavier Otazu; Xose R. Fernandez-Vidal; Victor Leboran; Xose M. Pardo |
Generating Synthetic Images for Visual Attention Modeling |
2019 |
Perception |
48 |
99 |
David Berga; Xavier Otazu |
Computations of inhibition of return mechanisms by modulating V1 dynamics |
2019 |
28th Annual Computational Neuroscience Meeting |
|
|
David Berga; Xavier Otazu |
Computational modelingof visual attention: What do we know from physiology and psychophysics? |
2019 |
8th Iberian Conference on Perception |
|
|
David Berga; Xavier Otazu |
Computations of top-down attention by modulating V1 dynamics |
2020 |
Computational and Mathematical Models in Vision |
|
|
David Berga; Xavier Otazu |
Modeling Bottom-Up and Top-Down Attention with a Neurodynamic Model of V1 |
2020 |
Neurocomputing |
417 |
270-289 |