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Who Left the Dogs Out? 3D Animal Reconstruction with Expectation Maximization in the Loop


Jul 21, 2020
Benjamin Biggs, Oliver Boyne, James Charles, Andrew Fitzgibbon, Roberto Cipolla

* Accepted at ECCV 2020 

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Inverse Graphics GAN: Learning to Generate 3D Shapes from Unstructured 2D Data


Feb 28, 2020
Sebastian Lunz, Yingzhen Li, Andrew Fitzgibbon, Nate Kushman

* 8 pages paper, 3 pages references, 18 pages appendix 

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Creatures great and SMAL: Recovering the shape and motion of animals from video


Nov 14, 2018
Benjamin Biggs, Thomas Roddick, Andrew Fitzgibbon, Roberto Cipolla

* 17 pages, ACCV 2018 oral paper 

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A Benchmark of Selected Algorithmic Differentiation Tools on Some Problems in Computer Vision and Machine Learning


Jul 26, 2018
Filip Šrajer, Zuzana Kukelova, Andrew Fitzgibbon

* Previous versions of this article appeared at AD2016---7th International Conference on Algorithmic Differentiation, and in Optimization Methods and Software, Taylor and Francis, Feb 2018 (online) 

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Efficient Differentiable Programming in a Functional Array-Processing Language


Jun 06, 2018
Amir Shaikhha, Andrew Fitzgibbon, Dimitrios Vytiniotis, Simon Peyton Jones, Christoph Koch


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Hybrid VAE: Improving Deep Generative Models using Partial Observations


Nov 30, 2017
Sergey Tulyakov, Andrew Fitzgibbon, Sebastian Nowozin


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Better Together: Joint Reasoning for Non-rigid 3D Reconstruction with Specularities and Shading


Aug 04, 2017
Qi Liu-Yin, Rui Yu, Lourdes Agapito, Andrew Fitzgibbon, Chris Russell

* Submitted to IJCV 

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On the Two-View Geometry of Unsynchronized Cameras


Apr 22, 2017
Cenek Albl, Zuzana Kukelova, Andrew Fitzgibbon, Jan Heller, Matej Smid, Tomas Pajdla

* 12 pages, 9 figures, Computer Vision and Pattern Recognition (CVPR) 2017 

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