584 citations · 647 across the 19 of their papers we have counts for
5 papers
Continually Learning Self-Supervised Representations with Projected Functional Regularization
Alex Gomez-Villa, Bartlomiej Twardowski, Lu Yu +2
Recent self-supervised learning methods are able to learn high-quality image representations and are closing the gap with supervised approaches. However, these methods are unable t…
Visual Transformers with Primal Object Queries for Multi-Label Image Classification
Vacit Oguz Yazici, Joost van de Weijer, Longlong Yu
Multi-label image classification is about predicting a set of class labels that can be considered as orderless sequential data. Transformers process the sequential data as a whole,…
Transferring Unconditional to Conditional GANs with Hyper-Modulation
Héctor Laria, Yaxing Wang, Joost van de Weijer +1
GANs have matured in recent years and are able to generate high-resolution, realistic images. However, the computational resources and the data required for the training of high-qu…
Ensembles of Generative Adversarial Networks
Yaxing Wang, Lichao Zhang, Joost van de Weijer
Ensembles are a popular way to improve results of discriminative CNNs. The combination of several networks trained starting from different initializations improves results signific…
Invertible Conditional GANs for image editing
Guim Perarnau, Joost van de Weijer, Bogdan Raducanu +1
Generative Adversarial Networks (GANs) have recently demonstrated to successfully approximate complex data distributions. A relevant extension of this model is conditional GANs (cG…