4 citations · 4 across the 4 of their papers we have counts for
5 papers
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…
SimpleEgo: Predicting Probabilistic Body Pose from Egocentric Cameras
Hanz Cuevas-Velasquez, Charlie Hewitt, Sadegh Aliakbarian +1
Our work addresses the problem of egocentric human pose estimation from downwards-facing cameras on head-mounted devices (HMD). This presents a challenging scenario, as parts of th…
Procedural Humans for Computer Vision
Charlie Hewitt, Tadas Baltrušaitis, Erroll Wood +3
Recent work has shown the benefits of synthetic data for use in computer vision, with applications ranging from autonomous driving to face landmark detection and reconstruction. Th…
Two Heads are Better than One: Geometric-Latent Attention for Point Cloud Classification and Segmentation
Hanz Cuevas-Velasquez, Antonio Javier Gallego, Robert B. Fisher
We present an innovative two-headed attention layer that combines geometric and latent features to segment a 3D scene into semantically meaningful subsets. Each head combines local…
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.…