| Author |
Title |
Year |
Publication |
Volume |
Pages |
Links |
| Marc Serra; Olivier Penacchio; Robert Benavente; Maria Vanrell; Dimitris Samaras |
The Photometry of Intrinsic Images |
2014 |
27th IEEE Conference on Computer Vision and Pattern Recognition |
|
1494-1501 |
|
| M. Danelljan; Fahad Shahbaz Khan; Michael Felsberg; Joost Van de Weijer |
Adaptive color attributes for real-time visual tracking |
2014 |
27th IEEE Conference on Computer Vision and Pattern Recognition |
|
1090 - 1097 |
|
| Fahad Shahbaz Khan; Shida Beigpour; Joost Van de Weijer; Michael Felsberg |
Painting-91: A Large Scale Database for Computational Painting Categorization |
2014 |
Machine Vision and Applications |
25 |
1385-1397 |
|
| Ricard Balague |
Exploring the combination of color cues for intrinsic image decomposition |
2014 |
CVC Technical Report |
178 |
|
|
| C. Alejandro Parraga |
Perceptual Psychophysics |
2015 |
Biologically-Inspired Computer Vision: Fundamentals and Applications |
|
|
|
| Marc Serra |
Modeling, estimation and evaluation of intrinsic images considering color information |
2015 |
PhD Thesis, Universitat Autonoma de Barcelona-CVC |
|
|
|
| Ivet Rafegas; Javier Vazquez; Robert Benavente; Maria Vanrell; Susana Alvarez |
Enhancing spatio-chromatic representation with more-than-three color coding for image description |
2017 |
Journal of the Optical Society of America A |
34 |
827-837 |
|
| Jordi Roca |
Constancy and inconstancy in categorical colour perception |
2012 |
PhD Thesis, Universitat Autonoma de Barcelona-CVC |
|
|
|
| Ivet Rafegas; Maria Vanrell |
Color spaces emerging from deep convolutional networks |
2016 |
24th Color and Imaging Conference |
|
225-230 |
|
| Ivet Rafegas; Maria Vanrell |
Colour Visual Coding in trained Deep Neural Networks |
2016 |
European Conference on Visual Perception |
|
|
|
| Ivet Rafegas; Maria Vanrell |
Color representation in CNNs: parallelisms with biological vision |
2017 |
ICCV Workshop on Mutual Benefits ofr Cognitive and Computer Vision |
|
|
|
| Ivet Rafegas |
Color in Visual Recognition: from flat to deep representations and some biological parallelisms |
2017 |
PhD Thesis, Universitat Autonoma de Barcelona-CVC |
|
|
|
| Hassan Ahmed Sial; S. Sancho; Ramon Baldrich; Robert Benavente; Maria Vanrell |
Color-based data augmentation for Reflectance Estimation |
2018 |
26th Color Imaging Conference |
|
284-289 |
|
| Bojana Gajic; Ariel Amato; Ramon Baldrich; Carlo Gatta |
Bag of Negatives for Siamese Architectures |
2019 |
30th British Machine Vision Conference |
|
|
|
| Ivet Rafegas; Maria Vanrell; Luis A Alexandre; G. Arias |
Understanding trained CNNs by indexing neuron selectivity |
2020 |
Pattern Recognition Letters |
136 |
318-325 |
|
| Hassan Ahmed Sial; Ramon Baldrich; Maria Vanrell |
Deep intrinsic decomposition trained on surreal scenes yet with realistic light effects |
2020 |
Journal of the Optical Society of America A |
37 |
1-15 |
|
| Hassan Ahmed Sial; Ramon Baldrich; Maria Vanrell; Dimitris Samaras |
Light Direction and Color Estimation from Single Image with Deep Regression |
2020 |
London Imaging Conference |
|
|
|
| Sagnik Das; Hassan Ahmed Sial; Ke Ma; Ramon Baldrich; Maria Vanrell; Dimitris Samaras |
Intrinsic Decomposition of Document Images In-the-Wild |
2020 |
31st British Machine Vision Conference |
|
|
|
