36 citations · 70 across the 16 of their papers we have counts for
3 papers · 1 filter
Hybrid VAE: Improving Deep Generative Models using Partial Observations
Sergey Tulyakov, Andrew Fitzgibbon, Sebastian Nowozin
Deep neural network models trained on large labeled datasets are the state-of-the-art in a large variety of computer vision tasks. In many applications, however, labeled data is ex…
Better Together: Joint Reasoning for Non-rigid 3D Reconstruction with Specularities and Shading
Qi Liu-Yin, Rui Yu, Lourdes Agapito +2
We demonstrate the use of shape-from-shading (SfS) to improve both the quality and the robustness of 3D reconstruction of dynamic objects captured by a single camera. Unlike previo…
On the Two-View Geometry of Unsynchronized Cameras
Cenek Albl, Zuzana Kukelova, Andrew Fitzgibbon +3
We present new methods for simultaneously estimating camera geometry and time shift from video sequences from multiple unsynchronized cameras. Algorithms for simultaneous computati…