19 citations · 23 across the 5 of their papers we have counts for
12 papers
RGB-D-based Framework to Acquire, Visualize and Measure the Human Body for Dietetic Treatments
Andrés Fuster-Guilló, Jorge Azorín-López, Marcelo Saval-Calvo +3
This research aims to improve dietetic-nutritional treatment using state-of-the-art RGB-D sensors and virtual reality (VR) technology. Recent studies show that adherence to treatme…
When Deep Learning Meets Data Alignment: A Review on Deep Registration Networks (DRNs)
Victor Villena-Martinez, Sergiu Oprea, Marcelo Saval-Calvo +3
Registration is the process that computes the transformation that aligns sets of data. Commonly, a registration process can be divided into four main steps: target selection, featu…
Automatic Hierarchical Classification of Kelps using Deep Residual Features
Ammar Mahmood, Ana Giraldo Ospina, Mohammed Bennamoun +6
Across the globe, remote image data is rapidly being collected for the assessment of benthic communities from shallow to extremely deep waters on continental slopes to the abyssal…
UDFNet: Unsupervised Disparity Fusion with Adversarial Networks
Can Pu, Robert B. Fisher
Existing disparity fusion methods based on deep learning achieve state-of-the-art performance, but they require ground truth disparity data to train. As far as I know, this is the…
TrimBot2020: an outdoor robot for automatic gardening
Nicola Strisciuglio, Radim Tylecek, Michael Blaich +9
Robots are increasingly present in modern industry and also in everyday life. Their applications range from health-related situations, for assistance to elderly people or in surgic…
DUGMA: Dynamic Uncertainty-Based Gaussian Mixture Alignment
Can Pu, Nanbo Li, Radim Tylecek +1
Registering accurately point clouds from a cheap low-resolution sensor is a challenging task. Existing rigid registration methods failed to use the physical 3D uncertainty distribu…