| Author |
Title |
Year |
Publication |
Volume |
Pages |
| Armin Mehri |
Deep learning based architectures for cross-domain image processing |
2023 |
PhD Thesis, Universitat Autonoma de Barcelona-CVC |
|
|
| Chenshen Wu |
Going beyond Classification Problems for the Continual Learning of Deep Neural Networks |
2023 |
PhD Thesis, Universitat Autonoma de Barcelona-CVC |
|
|
| Jose Luis Gomez |
Synth-to-real semi-supervised learning for visual tasks |
2023 |
Going beyond Classification Problems for the Continual Learning of Deep Neural Networks |
|
|
| Jose Elias Yauri |
Deep Learning Based Data Fusion Approaches for the Assessment of Cognitive States on EEG Signals |
2023 |
PhD Thesis, Universitat Autonoma de Barcelona-CVC |
|
|
| Shiqi Yang |
Towards Source-Free Domain Adaption of Neural Networks in an Open World |
2023 |
PhD Thesis, Universitat Autonoma de Barcelona-CVC |
|
|
| Yi Xiao |
Advancing Vision-based End-to-End Autonomous Driving |
2023 |
PhD Thesis, Universitat Autonoma de Barcelona-CVC |
|
|
| Diego Velazquez |
Towards Robustness in Computer-based Image Understanding |
2023 |
PhD Thesis, Universitat Autonoma de Barcelona-CVC |
|
|
| Bonifaz Stuhr |
Towards Unsupervised Representation Learning: Learning, Evaluating and Transferring Visual Representations |
2023 |
PhD Thesis, Universitat Autonoma de Barcelona-CVC |
|
|
| Ruben Perez Tito |
Exploring the role of Text in Visual Question Answering on Natural Scenes and Documents |
2023 |
PhD Thesis, Universitat Autonoma de Barcelona-CVC |
|
|
| Artur Xarles; Sergio Escalera; Thomas B. Moeslund; Albert Clapes |
ASTRA: An Action Spotting TRAnsformer for Soccer Videos |
2023 |
Proceedings of the 6th International Workshop on Multimedia Content Analysis in Sports |
|
93–102 |
| Marcin Przewiezlikowski; Mateusz Pyla; Bartosz Zielinski; Bartłomiej Twardowski; Jacek Tabor; Marek Smieja |
Augmentation-aware Self-supervised Learning with Guided Projector |
2023 |
arxiv |
|
|
| Mateusz Pyla; Kamil Deja; Bartłomiej Twardowski; Tomasz Trzcinski |
Bayesian Flow Networks in Continual Learning |
2023 |
arxiv |
|
|
| Adrien Pavao; Isabelle Guyon; Anne-Catherine Letournel; Dinh-Tuan Tran; Xavier Baro; Hugo Jair Escalante; Sergio Escalera; Tyler Thomas; Zhen Xu |
CodaLab Competitions: An Open Source Platform to Organize Scientific Challenges |
2023 |
Journal of Machine Learning Research |
|
|
| Eduardo Aguilar; Bogdan Raducanu; Petia Radeva; Joost Van de Weijer |
Continual Evidential Deep Learning for Out-of-Distribution Detection |
2023 |
Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops |
|
3444-3454 |
| Iban Berganzo-Besga; Hector A. Orengo; Felipe Lumbreras; Aftab Alam; Rosie Campbell; Petrus J Gerrits; Jonas Gregorio de Souza; Afifa Khan; Maria Suarez Moreno; Jack Tomaney; Rebecca C Roberts; Cameron A Petrie |
Curriculum learning-based strategy for low-density archaeological mound detection from historical maps in India and Pakistan |
2023 |
Scientific Reports |
13 |
11257 |
