962 citations · 1.6k across the 20 of their papers we have counts for
6 papers · 1 filter
Unsupervised Path Regression Networks
Michal Pándy, Daniel Lenton, Ronald Clark
We demonstrate that challenging shortest path problems can be solved via direct spline regression from a neural network, trained in an unsupervised manner (i.e. without requiring g…
Orientation Keypoints for 6D Human Pose Estimation
Martin Fisch, Ronald Clark
Most realtime human pose estimation approaches are based on detecting joint positions. Using the detected joint positions, the yaw and pitch of the limbs can be computed. However,…
LaDDer: Latent Data Distribution Modelling with a Generative Prior
Shuyu Lin, Ronald Clark
In this paper, we show that the performance of a learnt generative model is closely related to the model's ability to accurately represent the inferred \textbf{latent data distribu…
Scalable Uncertainty for Computer Vision with Functional Variational Inference
Eduardo D C Carvalho, Ronald Clark, Andrea Nicastro +1
As Deep Learning continues to yield successful applications in Computer Vision, the ability to quantify all forms of uncertainty is a paramount requirement for its safe and reliabl…
PointLoc: Deep Pose Regressor for LiDAR Point Cloud Localization
Wei Wang, Bing Wang, Peijun Zhao +5
In this paper, we present a novel end-to-end learning-based LiDAR relocalization framework, termed PointLoc, which infers 6-DoF poses directly using only a single point cloud as in…
DeepFactors: Real-Time Probabilistic Dense Monocular SLAM
Jan Czarnowski, Tristan Laidlow, Ronald Clark +1
The ability to estimate rich geometry and camera motion from monocular imagery is fundamental to future interactive robotics and augmented reality applications. Different approache…