| Author |
Title |
Year |
Publication |
Volume |
Pages |
| Marc Masana; Joost Van de Weijer; Luis Herranz;Andrew Bagdanov; Jose Manuel Alvarez |
Domain-adaptive deep network compression |
2017 |
17th IEEE International Conference on Computer Vision |
|
|
| Bhalaji Nagarajan; Marc Bolaños; Eduardo Aguilar; Petia Radeva |
Deep ensemble-based hard sample mining for food recognition |
2023 |
Journal of Visual Communication and Image Representation |
95 |
103905 |
| Felipe Codevilla; Matthias Muller; Antonio Lopez; Vladlen Koltun; Alexey Dosovitskiy |
End-to-end Driving via Conditional Imitation Learning |
2018 |
IEEE International Conference on Robotics and Automation |
|
4693 - 4700 |
| Ahmed M. A. Salih; Ilaria Boscolo Galazzo; Zahra Zahra Raisi-Estabragh; Steffen E. Petersen; Polyxeni Gkontra; Karim Lekadir; Gloria Menegaz; Petia Radeva |
A new scheme for the assessment of the robustness of Explainable Methods Applied to Brain Age estimation |
2021 |
34th International Symposium on Computer-Based Medical Systems |
|
492-497 |
| Adriana Romero |
Assisting the training of deep neural networks with applications to computer vision |
2015 |
PhD Thesis, Universitat de Barcelona-CVC |
|
|
| Eduardo Aguilar; Bhalaji Nagarajan; Beatriz Remeseiro; Petia Radeva |
Bayesian deep learning for semantic segmentation of food images |
2022 |
Computers and Electrical Engineering |
103 |
108380 |
| Chenshen Wu |
Going beyond Classification Problems for the Continual Learning of Deep Neural Networks |
2023 |
PhD Thesis, Universitat Autonoma de Barcelona-CVC |
|
|
| Mohamed Ramzy Ibrahim; Robert Benavente; Daniel Ponsa; Felipe Lumbreras |
Unveiling the Influence of Image Super-Resolution on Aerial Scene Classification |
2023 |
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications |
14469 |
214–228 |
| Kai Wang |
Continual learning for hierarchical classification, few-shot recognition, and multi-modal learning |
2022 |
PhD Thesis, Universitat Autonoma de Barcelona-CVC |
|
|
| Cesar de Souza; Adrien Gaidon; Yohann Cabon; Antonio Lopez |
Procedural Generation of Videos to Train Deep Action Recognition Networks |
2017 |
30th IEEE Conference on Computer Vision and Pattern Recognition |
|
2594-2604 |
| Javad Zolfaghari Bengar |
Reducing Label Effort with Deep Active Learning |
2021 |
PhD Thesis, Universitat Autonoma de Barcelona-CVC |
|
|
| Xialei Liu |
Visual recognition in the wild: learning from rankings in small domains and continual learning in new domains |
2019 |
PhD Thesis, Universitat Autonoma de Barcelona-CVC |
|
|
| Xinhang Song; Shuqiang Jiang; Luis Herranz; Chengpeng Chen |
Learning Effective RGB-D Representations for Scene Recognition |
2019 |
IEEE Transactions on Image Processing |
28 |
980-993 |
| 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 |
| Swathikiran Sudhakaran; Sergio Escalera; Oswald Lanz |
Gate-Shift Networks for Video Action Recognition |
2020 |
33rd IEEE Conference on Computer Vision and Pattern Recognition |
|
|
