| Author |
Title |
Year |
Publication |
Volume  |
Pages |
| 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 |
| Ruben Ballester; Carles Casacuberta; Sergio Escalera |
Decorrelating neurons using persistence |
2023 |
ARXIV |
|
|
| Chuanming Tang; Kai Wang; Joost van de Weijer; Jianlin Zhang; Yongmei Huang |
Exploiting Image-Related Inductive Biases in Single-Branch Visual Tracking |
2023 |
Arxiv |
|
|
| Francesco Fabbri; Xianghang Liu; Jack R. McKenzie; Bartlomiej Twardowski; Tri Kurniawan Wijaya |
FedFNN: Faster Training Convergence Through Update Predictions in Federated Recommender Systems |
2023 |
ARXIV |
|
|
| Marco Cotogni; Fei Yang; Claudio Cusano; Andrew Bagdanov; Joost Van de Weijer |
Exemplar-free Continual Learning of Vision Transformers via Gated Class-Attention and Cascaded Feature Drift Compensation |
2023 |
ARXIV |
|
|
| Lei Kang; Lichao Zhang; Dazhi Jiang |
Learning Robust Self-Attention Features for Speech Emotion Recognition with Label-Adaptive Mixup |
2023 |
IEEE International Conference on Acoustics, Speech and Signal Processing |
|
|
