Author |
Title |
Year |
Publication |
Volume |
Pages |
Razieh Rastgoo; Kourosh Kiani; Sergio Escalera |
Sign Language Recognition: A Deep Survey |
2021 |
Expert Systems With Applications |
164 |
113794 |
Ajian Liu; Xuan Li; Jun Wan; Yanyan Liang; Sergio Escalera; Hugo Jair Escalante; Meysam Madadi; Yi Jin; Zhuoyuan Wu; Xiaogang Yu; Zichang Tan; Qi Yuan; Ruikun Yang; Benjia Zhou; Guodong Guo; Stan Z. Li |
Cross-ethnicity Face Anti-spoofing Recognition Challenge: A Review |
2020 |
IET Biometrics |
10 |
24-43 |
Razieh Rastgoo; Kourosh Kiani; Sergio Escalera |
Hand pose aware multimodal isolated sign language recognition |
2020 |
Multimedia Tools and Applications |
80 |
127–163 |
Eduardo Aguilar; Petia Radeva |
Uncertainty-aware integration of local and flat classifiers for food recognition |
2020 |
Pattern Recognition Letters |
136 |
237-243 |
Petia Radeva |
Uncertainty Modeling within an End-to-end Framework for Food Image Analysis |
2020 |
1st DELTA |
|
|
Giuseppe Pezzano; Vicent Ribas Ripoll; Petia Radeva |
CoLe-CNN: Context-learning convolutional neural network with adaptive loss function for lung nodule segmentation |
2021 |
Computer Methods and Programs in Biomedicine |
198 |
105792 |
Soumick Chatterjee; Fatima Saad; Chompunuch Sarasaen; Suhita Ghosh; Rupali Khatun; Petia Radeva; Georg Rose; Sebastian Stober; Oliver Speck; Andreas Nürnberger |
Exploration of Interpretability Techniques for Deep COVID-19 Classification using Chest X-ray Images |
2020 |
Arxiv |
|
|
Estefania Talavera; Andreea Glavan; Alina Matei; Petia Radeva |
Eating Habits Discovery in Egocentric Photo-streams |
2020 |
Arxiv |
|
|
Daniel Rato; Miguel Oliveira; Vitor Santos; Manuel Gomes; Angel Sappa |
A sensor-to-pattern calibration framework for multi-modal industrial collaborative cells |
2022 |
Journal of Manufacturing Systems |
64 |
497-507 |
Marc Masana; Xialei Liu; Bartlomiej Twardowski; Mikel Menta; Andrew Bagdanov; Joost Van de Weijer |
Class-incremental learning: survey and performance evaluation |
2022 |
IEEE Transactions on Pattern Analysis and Machine Intelligence |
|
|
Shiqi Yang; Yaxing Wang; Joost Van de Weijer; Luis Herranz |
Unsupervised Domain Adaptation without Source Data by Casting a BAIT |
2020 |
Arxiv |
|
|
Shiqi Yang; Kai Wang; Luis Herranz; Joost Van de Weijer |
Simple and effective localized attribute representations for zero-shot learning |
2020 |
Arxiv |
|
|
Sudeep Katakol; Basem Elbarashy; Luis Herranz; Joost Van de Weijer; Antonio Lopez |
Distributed Learning and Inference with Compressed Images |
2021 |
IEEE Transactions on Image Processing |
30 |
3069 - 3083 |
Mikel Menta; Adriana Romero; Joost Van de Weijer |
Learning to adapt class-specific features across domains for semantic segmentation |
2020 |
Arxiv |
|
|
Giovanni Maria Farinella; Petia Radeva; Jose Braz |
Proceedings of the 15th International Joint Conference on Computer Vision; Imaging and Computer Graphics Theory and Applications |
2020 |
Proceedings of the 15th International Joint Conference on Computer Vision; Imaging and Computer Graphics Theory and Applications; VISIGRAPP 2020 |
4 |
|