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20172021
most citedDeepVO: Towards End-to-End Visual Odometry with Deep Recurrent Convolutional Neural Networks

962 citations · 1.2k across the 8 of their papers we have counts for

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12 papers · 1 filter

cs.CV20211 cited

TermiNeRF: Ray Termination Prediction for Efficient Neural Rendering

Martin Piala, Ronald Clark

Volume rendering using neural fields has shown great promise in capturing and synthesizing novel views of 3D scenes. However, this type of approach requires querying the volume net…

cs.CV20201 cited

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…

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.CV2020160 cited

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…

cs.CV2019

Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds

Bo Yang, Jianan Wang, Ronald Clark +4

We propose a novel, conceptually simple and general framework for instance segmentation on 3D point clouds. Our method, called 3D-BoNet, follows the simple design philosophy of per…

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…