584 citations · 2.3k across the 78 of their papers we have counts for
5 papers · 1 filter
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…
Scale Coding Bag of Deep Features for Human Attribute and Action Recognition
Fahad Shahbaz Khan, Joost van de Weijer, Rao Muhammad Anwer +3
Most approaches to human attribute and action recognition in still images are based on image representation in which multi-scale local features are pooled across scale into a singl…
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…
On-the-fly Network Pruning for Object Detection
Marc Masana, Joost van de Weijer, Andrew D. Bagdanov
Object detection with deep neural networks is often performed by passing a few thousand candidate bounding boxes through a deep neural network for each image. These bounding boxes…
Does Multimodality Help Human and Machine for Translation and Image Captioning?
Ozan Caglayan, Walid Aransa, Yaxing Wang +5
This paper presents the systems developed by LIUM and CVC for the WMT16 Multimodal Machine Translation challenge. We explored various comparative methods, namely phrase-based syste…