264 citations · 416 across the 7 of their papers we have counts for
5 papers · 1 filter
HiDAnet: RGB-D Salient Object Detection via Hierarchical Depth Awareness
Zongwei Wu, Guillaume Allibert, Fabrice Meriaudeau +2
RGB-D saliency detection aims to fuse multi-modal cues to accurately localize salient regions. Existing works often adopt attention modules for feature modeling, with few methods e…
Physically-admissible polarimetric data augmentation for road-scene analysis
Cyprien Ruffino, Rachel Blin, Samia Ainouz +4
Polarimetric imaging, along with deep learning, has shown improved performances on different tasks including scene analysis. However, its robustness may be questioned because of th…
P2D: a self-supervised method for depth estimation from polarimetry
Marc Blanchon, Désiré Sidibé, Olivier Morel +3
Monocular depth estimation is a recurring subject in the field of computer vision. Its ability to describe scenes via a depth map while reducing the constraints related to the form…
Polarimetric image augmentation
Marc Blanchon, Olivier Morel, Fabrice Meriaudeau +2
Robotics applications in urban environments are subject to obstacles that exhibit specular reflections hampering autonomous navigation. On the other hand, these reflections are hig…
Road scenes analysis in adverse weather conditions by polarization-encoded images and adapted deep learning
Rachel Blin, Samia Ainouz, Stéphane Canu +1
Object detection in road scenes is necessary to develop both autonomous vehicles and driving assistance systems. Even if deep neural networks for recognition task have shown great…