Author |
Title |
Year |
Publication |
Volume |
Pages |
Xim Cerda-Company; Olivier Penacchio; Xavier Otazu |
Chromatic Induction in Migraine |
2021 |
VISION |
5 |
37 |
Xim Cerda-Company; C. Alejandro Parraga; Xavier Otazu |
Which tone-mapping is the best? A comparative study of tone-mapping perceived quality |
2014 |
Perception |
43 |
106 |
Xim Cerda-Company; C. Alejandro Parraga; Xavier Otazu |
Which tone-mapping operator is the best? A comparative study of perceptual quality |
2018 |
Journal of the Optical Society of America A |
35 |
626-638 |
Xim Cerda-Company |
Understanding color vision: from psychophysics to computational modeling |
2019 |
PhD Thesis, Universitat Autonoma de Barcelona-CVC |
|
|
Xiangyang Li; Luis Herranz; Shuqiang Jiang |
Multifaceted Analysis of Fine-Tuning in Deep Model for Visual Recognition |
2020 |
ACM Transactions on Data Science |
|
|
Xialei Liu; Marc Masana; Luis Herranz; Joost Van de Weijer; Antonio Lopez; Andrew Bagdanov |
Rotate your Networks: Better Weight Consolidation and Less Catastrophic Forgetting |
2018 |
24th International Conference on Pattern Recognition |
|
2262-2268 |
Xialei Liu; Joost Van de Weijer; Andrew Bagdanov |
RankIQA: Learning from Rankings for No-reference Image Quality Assessment |
2017 |
17th IEEE International Conference on Computer Vision |
|
|
Xialei Liu; Joost Van de Weijer; Andrew Bagdanov |
Leveraging Unlabeled Data for Crowd Counting by Learning to Rank |
2018 |
31st IEEE Conference on Computer Vision and Pattern Recognition |
|
7661 - 7669 |
Xialei Liu; Joost Van de Weijer; Andrew Bagdanov |
Exploiting Unlabeled Data in CNNs by Self-Supervised Learning to Rank |
2019 |
IEEE Transactions on Pattern Analysis and Machine Intelligence |
41 |
1862-1878 |
Xialei Liu; Chenshen Wu; Mikel Menta; Luis Herranz; Bogdan Raducanu; Andrew Bagdanov; Shangling Jui; Joost Van de Weijer |
Generative Feature Replay for Class-Incremental Learning |
2020 |
CLVISION – Workshop on Continual Learning in Computer Vision |
|
|
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 |
|
|
Xavier Soria; Yachuan Li; Mohammad Rouhani; Angel Sappa |
Tiny and Efficient Model for the Edge Detection Generalization |
2023 |
Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops |
|
|
Xavier Soria; Gonzalo Pomboza-Junez; Angel Sappa |
LDC: Lightweight Dense CNN for Edge Detection |
2022 |
IEEE Access |
10 |
68281-68290 |
Xavier Soria; Edgar Riba; Angel Sappa |
Dense Extreme Inception Network: Towards a Robust CNN Model for Edge Detection |
2020 |
IEEE Winter Conference on Applications of Computer Vision |
|
|
Xavier Soria; Angel Sappa; Riad I. Hammoud |
Wide-Band Color Imagery Restoration for RGB-NIR Single Sensor Images |
2018 |
Sensors |
18 |
2059 |