3 papers
cs.CV2022
Towards the Probabilistic Fusion of Learned Priors into Standard Pipelines for 3D Reconstruction
Tristan Laidlow, Jan Czarnowski, Andrea Nicastro +2
The best way to combine the results of deep learning with standard 3D reconstruction pipelines remains an open problem. While systems that pass the output of traditional multi-view…
cs.CV2020
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…
cs.CV2019
X-Section: Cross-Section Prediction for Enhanced RGBD Fusion
Andrea Nicastro, Ronald Clark, Stefan Leutenegger
Detailed 3D reconstruction is an important challenge with application to robotics, augmented and virtual reality, which has seen impressive progress throughout the past years. Adva…