| Author |
Title |
Year |
Publication |
Volume |
Pages |
| 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 |
5 |
|
| Giovanni Maria Farinella; Petia Radeva; Jose Braz; Kadi Bouatouch |
Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (Volume 4) |
2021 |
Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. VISIGRAPP 2021 |
4 |
|
| Giovanni Maria Farinella; Petia Radeva; Jose Braz; Kadi Bouatouch |
Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications – (Volume 5) |
2021 |
Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications – VISIGRAPP 2021 |
5 |
|
| Eduardo Aguilar; Bhalaji Nagarajan; Beatriz Remeseiro; Petia Radeva |
Bayesian deep learning for semantic segmentation of food images |
2022 |
Computers and Electrical Engineering |
103 |
108380 |
| Ahmed M. A. Salih; Ilaria Boscolo Galazzo; Federica Cruciani; Lorenza Brusini; Petia Radeva |
Investigating Explainable Artificial Intelligence for MRI-based Classification of Dementia: a New Stability Criterion for Explainable Methods |
2022 |
29th IEEE International Conference on Image Processing |
|
|
| Javier Rodenas; Bhalaji Nagarajan; Marc Bolaños; Petia Radeva |
Learning Multi-Subset of Classes for Fine-Grained Food Recognition |
2022 |
7th International Workshop on Multimedia Assisted Dietary Management |
|
17–26 |
| Roberto Morales; Juan Quispe; Eduardo Aguilar |
Exploring multi-food detection using deep learning-based algorithms |
2023 |
13th International Conference on Pattern Recognition Systems |
|
1-7 |
| 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 |
| Roger Max Calle Quispe; Maya Aghaei Gavari; Eduardo Aguilar Torres |
Towards real-time accurate safety helmets detection through a deep learning-based method |
2023 |
Ingeniare. Revista chilena de ingenieria |
31 |
|
| P. Canals; Simone Balocco; O. Diaz; J. Li; A. Garcia Tornel; M. Olive Gadea; M. Ribo |
A fully automatic method for vascular tortuosity feature extraction in the supra-aortic region: unraveling possibilities in stroke treatment planning |
2023 |
Computerized Medical Imaging and Graphics |
104 |
|
| Mohammad Momeny; Ali Asghar Neshat; Ahmad Jahanbakhshi; Majid Mahmoudi; Yiannis Ampatzidis; Petia Radeva |
Grading and fraud detection of saffron via learning-to-augment incorporated Inception-v4 CNN |
2023 |
Food Control |
147 |
109554 |
| Albert Tatjer; Bhalaji Nagarajan; Ricardo Marques; Petia Radeva |
CCLM: Class-Conditional Label Noise Modelling |
2023 |
11th Iberian Conference on Pattern Recognition and Image Analysis |
14062 |
3-14 |
| David Dueñas; Mostafa Kamal; Petia Radeva |
Efficient Deep Learning Ensemble for Skin Lesion Classification |
2023 |
Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications |
|
303-314 |
| Saiping Zhang, Luis Herranz, Marta Mrak, Marc Gorriz Blanch, Shuai Wan, Fuzheng Yang |
PeQuENet: Perceptual Quality Enhancement of Compressed Video with Adaptation-and Attention-based Network |
2022 |
Arxiv |
|
|
| Chengyi Zou; Shuai Wan; Tiannan Ji; Marc Gorriz Blanch; Marta Mrak; Luis Herranz |
Chroma Intra Prediction with Lightweight Attention-Based Neural Networks |
2023 |
IEEE Transactions on Circuits and Systems for Video Technology |
34 |
549 - 560 |
