584 citations · 2.3k across the 78 of their papers we have counts for
6 papers · 1 filter
Domain-adaptive deep network compression
Marc Masana, Joost van de Weijer, Luis Herranz +2
Deep Neural Networks trained on large datasets can be easily transferred to new domains with far fewer labeled examples by a process called fine-tuning. This has the advantage that…
Adversarial Networks for Spatial Context-Aware Spectral Image Reconstruction from RGB
Aitor Alvarez-Gila, Joost van de Weijer, Estibaliz Garrote
Hyperspectral signal reconstruction aims at recovering the original spectral input that produced a certain trichromatic (RGB) response from a capturing device or observer. Given th…
Review on Computer Vision Techniques in Emergency Situation
Laura Lopez-Fuentes, Joost van de Weijer, Manuel Gonzalez-Hidalgo +2
In emergency situations, actions that save lives and limit the impact of hazards are crucial. In order to act, situational awareness is needed to decide what to do. Geolocalized ph…
RankIQA: Learning from Rankings for No-reference Image Quality Assessment
Xialei Liu, Joost van de Weijer, Andrew D. Bagdanov
We propose a no-reference image quality assessment (NR-IQA) approach that learns from rankings (RankIQA). To address the problem of limited IQA dataset size, we train a Siamese Net…
Binary Patterns Encoded Convolutional Neural Networks for Texture Recognition and Remote Sensing Scene Classification
Rao Muhammad Anwer, Fahad Shahbaz Khan, Joost van de Weijer +2
Designing discriminative powerful texture features robust to realistic imaging conditions is a challenging computer vision problem with many applications, including material recogn…
Bandwidth limited object recognition in high resolution imagery
Laura Lopez-Fuentes, Andrew D. Bagdanov, Joost van de Weijer +1
This paper proposes a novel method to optimize bandwidth usage for object detection in critical communication scenarios. We develop two operating models of active information seeki…