Author |
Title |
Year |
Publication |
Volume |
Pages |
Adria Molina; Lluis Gomez; Oriol Ramos Terrades; Josep Llados |
A Generic Image Retrieval Method for Date Estimation of Historical Document Collections |
2022 |
Document Analysis Systems.15th IAPR International Workshop, (DAS2022) |
13237 |
583–597 |
Adria Molina; Pau Riba; Lluis Gomez; Oriol Ramos Terrades; Josep Llados |
Date Estimation in the Wild of Scanned Historical Photos: An Image Retrieval Approach |
2021 |
16th International Conference on Document Analysis and Recognition |
12822 |
306-320 |
Adria Rico; Alicia Fornes |
Camera-based Optical Music Recognition using a Convolutional Neural Network |
2017 |
12th IAPR International Workshop on Graphics Recognition |
|
27-28 |
Adria Ruiz; Joost Van de Weijer; Xavier Binefa |
From emotions to action units with hidden and semi-hidden-task learning |
2015 |
16th IEEE International Conference on Computer Vision |
|
3703-3711 |
Adrian Galdran; Aitor Alvarez-Gila; Alessandro Bria; Javier Vazquez; Marcelo Bertalmio |
On the Duality Between Retinex and Image Dehazing |
2018 |
31st IEEE Conference on Computer Vision and Pattern Recognition |
|
8212–8221 |
Adriana Romero |
Assisting the training of deep neural networks with applications to computer vision |
2015 |
PhD Thesis, Universitat de Barcelona-CVC |
|
|
Adriana Romero; Carlo Gatta |
Do We Really Need All These Neurons? |
2013 |
6th Iberian Conference on Pattern Recognition and Image Analysis |
7887 |
460--467 |
Adriana Romero; Carlo Gatta; Gustavo Camps-Valls |
Unsupervised Deep Feature Extraction for Remote Sensing Image Classification |
2016 |
IEEE Transaction on Geoscience and Remote Sensing |
54 |
1349 - 1362 |
Adriana Romero; Carlo Gatta; Gustavo Camps-Valls |
Unsupervised Deep Feature Extraction Of Hyperspectral Images |
2014 |
6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing |
|
|
Adriana Romero; Nicolas Ballas; Samira Ebrahimi Kahou; Antoine Chassang; Carlo Gatta; Yoshua Bengio |
FitNets: Hints for Thin Deep Nets |
2015 |
3rd International Conference on Learning Representations ICLR2015 |
|
|
Adriana Romero; Petia Radeva; Carlo Gatta |
Meta-parameter free unsupervised sparse feature learning |
2015 |
IEEE Transactions on Pattern Analysis and Machine Intelligence |
37 |
1716-1722 |
Adriana Romero; Petia Radeva; Carlo Gatta |
No more meta-parameter tuning in unsupervised sparse feature learning |
2014 |
Arxiv |
|
|
Adriana Romero; Simeon Petkov; Carlo Gatta; M.Sabate; Petia Radeva |
Efficient automatic segmentation of vessels |
2012 |
16th Conference on Medical Image Understanding and Analysis |
|
|
Adrien Gaidon; Antonio Lopez; Florent Perronnin |
The Reasonable Effectiveness of Synthetic Visual Data |
2018 |
International Journal of Computer Vision |
126 |
899–901 |
Adrien Pavao; Isabelle Guyon; Anne-Catherine Letournel; Dinh-Tuan Tran; Xavier Baro; Hugo Jair Escalante; Sergio Escalera; Tyler Thomas; Zhen Xu |
CodaLab Competitions: An Open Source Platform to Organize Scientific Challenges |
2023 |
Journal of Machine Learning Research |
|
|