39 citations · 152 across the 10 of their papers we have counts for
11 papers
Are We Really Doing Few-Shot Learning? A Critical Examination of Pre-Training Assumptions
Alejandro Galan-Cuenca, Marcelo Saval-Calvo, Antonio Javier Gallego
Few-shot learning is commonly evaluated under protocols that pre-train a model on a large auxiliary set whose classes are disjoint from the target episodes yet drawn from the same…
eLasmobranc Dataset: An Image Dataset for Elasmobranch Species Recognition and Biodiversity Monitoring
Ismael Beviá-Ballesteros, Mario Jerez-Tallón, Nieves Aranda-Garrido +6
Elasmobranch populations are experiencing significant global declines, and several species are currently classified as threatened. Reliable monitoring and species-level identificat…
Global Point Cloud Registration Network for Large Transformations
Hanz Cuevas-Velasquez, Alejandro Galán-Cuenca, Antonio Javier Gallego +2
Three-dimensional data registration is an established yet challenging problem that is key in many different applications, such as mapping the environment for autonomous vehicles, a…
Few-shot learning for COVID-19 Chest X-Ray Classification with Imbalanced Data: An Inter vs. Intra Domain Study
Alejandro Galán-Cuenca, Antonio Javier Gallego, Marcelo Saval-Calvo +1
Medical image datasets are essential for training models used in computer-aided diagnosis, treatment planning, and medical research. However, some challenges are associated with th…
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…
Hybrid Multi-camera Visual Servoing to Moving Target
Hanz Cuevas-Velasquez, Nanbo Li, Radim Tylecek +2
Visual servoing is a well-known task in robotics. However, there are still challenges when multiple visual sources are combined to accurately guide the robot or occlusions appear.…
3D non-rigid registration using color: Color Coherent Point Drift
Marcelo Saval-Calvo, Jorge Azorin-Lopez, Andres Fuster-Guillo +2
Research into object deformations using computer vision techniques has been under intense study in recent years. A widely used technique is 3D non-rigid registration to estimate th…
μ-MAR: Multiplane 3D Marker based Registration for Depth-sensing Cameras
Marcelo Saval-Calvo, Jorge Azorin-Lopez, Andres Fuster-Guillo +1
Many applications including object reconstruction, robot guidance, and scene mapping require the registration of multiple views from a scene to generate a complete geometric and ap…
Three-dimensional planar model estimation using multi-constraint knowledge based on k-means and RANSAC
Marcelo Saval-Calvo, Jorge Azorin-Lopez, Andres Fuster-Guillo +1
Plane model extraction from three-dimensional point clouds is a necessary step in many different applications such as planar object reconstruction, indoor mapping and indoor locali…
Best Viewpoint Tracking for Camera Mounted on Robotic Arm with Dynamic Obstacles
Christos Maniatis, Marcelo Saval-Calvo, Radim Tylecek +1
The problem of finding a next best viewpoint for 3D modeling or scene mapping has been explored in computer vision over the last decade. This paper tackles a similar problem, but w…