604 citations · 1.4k across the 64 of their papers we have counts for
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Compression for Smooth Shape Analysis
V. Estellers, F. R. Schmidt, D. Cremers
Most 3D shape analysis methods use triangular meshes to discretize both the shape and functions on it as piecewise linear functions. With this representation, shape analysis requir…
Regularization for Deep Learning: A Taxonomy
Jan Kukačka, Vladimir Golkov, Daniel Cremers
Regularization is one of the crucial ingredients of deep learning, yet the term regularization has various definitions, and regularization methods are often studied separately from…
Online Photometric Calibration for Auto Exposure Video for Realtime Visual Odometry and SLAM
Paul Bergmann, Rui Wang, Daniel Cremers
Recent direct visual odometry and SLAM algorithms have demonstrated impressive levels of precision. However, they require a photometric camera calibration in order to achieve compe…
Efficient Online Surface Correction for Real-time Large-Scale 3D Reconstruction
Robert Maier, Raphael Schaller, Daniel Cremers
State-of-the-art methods for large-scale 3D reconstruction from RGB-D sensors usually reduce drift in camera tracking by globally optimizing the estimated camera poses in real-time…
A Variational Approach to Shape-from-shading Under Natural Illumination
Yvain Quéau, Jean Mélou, Fabien Castan +2
A numerical solution to shape-from-shading under natural illumination is presented. It builds upon an augmented Lagrangian approach for solving a generic PDE-based shape-from-shadi…
Variational Reflectance Estimation from Multi-view Images
Jean Mélou, Yvain Quéau, Jean-Denis Durou +2
We tackle the problem of reflectance estimation from a set of multi-view images, assuming known geometry. The approach we put forward turns the input images into reflectance maps,…