Author |
Title |
Year |
Publication |
Volume |
Pages |
Jordy Van Landeghem; Ruben Tito; Lukasz Borchmann; Michal Pietruszka; Pawel Joziak; Rafal Powalski; Dawid Jurkiewicz; Mickael Coustaty; Bertrand Anckaert; Ernest Valveny; Matthew Blaschko; Sien Moens; Tomasz Stanislawek |
Document Understanding Dataset and Evaluation (DUDE) |
2023 |
20th IEEE International Conference on Computer Vision |
|
19528-19540 |
Kai Wang; Fei Yang; Shiqi Yang; Muhammad Atif Butt; Joost Van de Weijer |
Dynamic Prompt Learning: Addressing Cross-Attention Leakage for Text-Based Image Editing |
2023 |
37th Annual Conference on Neural Information Processing Systems |
|
|
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 |
Yifan Wang; Luka Murn; Luis Herranz; Fei Yang; Marta Mrak; Wei Zhang; Shuai Wan; Marc Gorriz Blanch |
Efficient Super-Resolution for Compression Of Gaming Videos |
2023 |
IEEE International Conference on Acoustics, Speech and Signal Processing |
|
|
JW Xiao; CB Zhang; J. Feng; Xialei Liu; Joost Van de Weijer; MM Cheng |
Endpoints Weight Fusion for Class Incremental Semantic Segmentation |
2023 |
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition |
|
7204-7213 |
Diego Velazquez; Pau Rodriguez; Alexandre Lacoste; Issam H. Laradji; Xavier Roca; Jordi Gonzalez |
Evaluating Counterfactual Explainers |
2023 |
Transactions on Machine Learning Research |
|
|
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 |
|
|
Alejandro Ariza-Casabona; Bartlomiej Twardowski; Tri Kurniawan Wijaya |
Exploiting Graph Structured Cross-Domain Representation for Multi-domain Recommendation |
2023 |
European Conference on Information Retrieval – ECIR 2023: Advances in Information Retrieval |
13980 |
49–65 |
Chuanming Tang; Kai Wang; Joost van de Weijer; Jianlin Zhang; Yongmei Huang |
Exploiting Image-Related Inductive Biases in Single-Branch Visual Tracking |
2023 |
Arxiv |
|
|
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 |
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 |
|
|
Jun Wan; Guodong Guo; Sergio Escalera; Hugo Jair Escalante; Stan Z Li |
Face Anti-spoofing Progress Driven by Academic Challenges |
2023 |
Advances in Face Presentation Attack Detection |
|
1–15 |
Jun Wan; Guodong Guo; Sergio Escalera; Hugo Jair Escalante; Stan Z Li |
Face Presentation Attack Detection (PAD) Challenges |
2023 |
Advances in Face Presentation Attack Detection |
|
17–35 |
Dipam Goswami; Yuyang Liu ; Bartlomiej Twardowski; Joost Van de Weijer |
FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning |
2023 |
37th Annual Conference on Neural Information Processing Systems |
|
|
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 |
|
|