Author |
Title |
Year |
Publication |
Volume |
Pages |
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 |
|
|
Agata Lapedriza |
Multitask Learning Techniques for Automatic Face Classification |
2009 |
PhD Thesis, Universitat Autonoma de Barcelona-CVC |
|
|
Agata Lapedriza |
Face Classification using External Face Features |
2005 |
CVC Technical Report #83 |
|
|
Agata Lapedriza; David Masip; David Sanchez |
Emotions Classification using Facial Action Units Recognition |
2014 |
17th International Conference of the Catalan Association for Artificial Intelligence |
269 |
55-64 |
Agata Lapedriza; David Masip; Jordi Vitria |
Subject Recognition Using a New Approach for Feature Extraction |
2008 |
3rd International Conference on Computer Vision Theory and Applications |
2 |
61–66 |
Agata Lapedriza; David Masip; Jordi Vitria |
On the Use of Independent Tasks for Face Recognition |
2008 |
IEEE Computer Society Conference on Computer Vision and Pattern Recognition |
|
1–6 |