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08/30/2023
Learning Structure-from-Motion with Graph Attention Networks
In this paper we tackle the problem of learning Structure-from-Motion (S...
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01/06/2021
On the Tightness of Semidefinite Relaxations for Rotation Estimation
Why is it that semidefinite relaxations have been so successful in numer...
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12/21/2020
Monocular Depth Parameterizing Networks
Monocular depth estimation is a highly challenging problem that is often...
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03/23/2020
Accurate Optimization of Weighted Nuclear Norm for Non-Rigid Structure from Motion
Fitting a matrix of a given rank to data in a least squares sense can be...
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11/27/2018
Bilinear Parameterization For Differentiable Rank-Regularization
Low rank approximation is a commonly occurring problem in many computer ...
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05/03/2017
Rotation Averaging and Strong Duality
In this paper we explore the role of duality principles within the probl...
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05/01/2015