18 citations · 73 across the 28 of their papers we have counts for
6 papers · 2 filters
The Monocular Depth Estimation Challenge
Jaime Spencer, C. Stella Qian, Chris Russell +16
This paper summarizes the results of the first Monocular Depth Estimation Challenge (MDEC) organized at WACV2023. This challenge evaluated the progress of self-supervised monocular…
SVS: Adversarial refinement for sparse novel view synthesis
Violeta Menéndez González, Andrew Gilbert, Graeme Phillipson +2
This paper proposes Sparse View Synthesis. This is a view synthesis problem where the number of reference views is limited, and the baseline between target and reference view is si…
EDeNN: Event Decay Neural Networks for low latency vision
Celyn Walters, Simon Hadfield
Despite the success of neural networks in computer vision tasks, digital 'neurons' are a very loose approximation of biological neurons. Today's learning approaches are designed to…
Deconstructing Self-Supervised Monocular Reconstruction: The Design Decisions that Matter
Jaime Spencer, Chris Russell, Simon Hadfield +1
This paper presents an open and comprehensive framework to systematically evaluate state-of-the-art contributions to self-supervised monocular depth estimation. This includes pretr…
Adaptive sampling for scanning pixel cameras
Yusuf Duman, Jean-Yves Guillemaut, Simon Hadfield
A scanning pixel camera is a novel low-cost, low-power sensor that is not diffraction limited. It produces data as a sequence of samples extracted from various parts of the scene d…
SaiNet: Stereo aware inpainting behind objects with generative networks
Violeta Menéndez González, Andrew Gilbert, Graeme Phillipson +2
In this work, we present an end-to-end network for stereo-consistent image inpainting with the objective of inpainting large missing regions behind objects. The proposed model cons…