Paul Henderson

Postdoc in Computer Vision and Machine Learning

 paul@pmh47.net

I am a postdoc in the Computer Vision and Machine Learning Group at the Institute of Science and Technology (IST) Austria. My research focuses on building machines that understand the visual world with minimal supervision. This requires endowing deep learning methods with strong, physically-motivated priors about the structure of the world, such as 3D geometry and decomposition into objects. My work therefore lies at the intersection of machine learning, computer vision, and computer graphics.

Unsupervised Video Prediction from a Single Frame by Estimating 3D Dynamic Scene Structure

Paul Henderson, Christoph Lampert and Bernd Bickel

CoRR 2021  (new!)

Project Page – Paper – Bibtex

@misc{henderson21corr,<br /> title={Unsupervised Video Prediction from a Single Frame by Estimating {3D} Dynamic Scene Structure},<br /> author={Henderson, Paul and Lampert, Christoph H. and Bickel, Bernd},<br /> howpublished={arXiv:2106.09051},<br /> year={2021}<br /> }

Computational Design of Cold Bent Glass Façades

Konstantinos Gavriil, Ruslan Guseinov, Jesús Pérez, Davide Pellis, Paul Henderson, Florian Rist, Helmut Pottmann and Bernd Bickel

SIGGRAPH Asia 2020

Project Page – Paper – arXiv – Bibtex

@article{gavriil20sa, title={Computational Design of Cold Bent Glass Fa{\c c}ades}, author={Gavriil, Konstantinos and Guseinov, Ruslan and P{\'e}rez, Jes{\'u}s and Pellis, Davide and Henderson, Paul and Rist, Florian and Pottmann, Helmut and Bickel, Bernd}, journal={ACM Transactions on Graphics (SIGGRAPH Asia 2020)}, year={2020}, month = {12}, volume = {39}, number = {6} articleno = {208}, numpages = {16} }

Leveraging 2D Data to Learn Textured 3D Mesh Generation

Paul Henderson, Vagia Tsiminaki and Christoph Lampert

CVPR 2020 (oral)

Paper – Code – Bibtex

@inproceedings{henderson20cvpr, title={Leveraging {2D} Data to Learn Textured {3D} Mesh Generation}, author={Paul Henderson and Vagia Tsiminaki and Christoph Lampert}, booktitle={IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}, year={2020} }

Object-Centric Image Generation with Factored Depths, Locations, and Appearances

Titas Anciukevicius, Christoph Lampert and Paul Henderson

CoRR 2020

Paper – Bibtex

@misc{anciukevicius20corr, title={Object-Centric Image Generation with Factored Depths, Locations, and Appearances}, author={Titas Anciukevi\v{c}ius and Christoph Lampert and Paul Henderson}, howpublished={arXiv:2004.00642}, year={2020} }

Learning Single-Image 3D Reconstruction by Generative Modelling of Shape, Pose and Shading

Paul Henderson and Vittorio Ferrari

IJCV 2019

Paper – arXiv – Code for differentiable renderer – Bibtex

@article{henderson19ijcv, title={Learning Single-Image {3D} Reconstruction by Generative Modelling of Shape, Pose and Shading}, author={Henderson, Paul and Ferrari, Vittorio}, journal={International Journal of Computer Vision (IJCV)}, year={2019}, doi={10.1007/s11263-019-01219-8} }

Learning to Generate and Reconstruct 3D Meshes with only 2D Supervision

Paul Henderson and Vittorio Ferrari

BMVC 2018 (oral)

Paper – Code for differentiable renderer – Bibtex

@inproceedings{henderson18bmvc, title={Learning to Generate and Reconstruct {3D} Meshes with only {2D} Supervision}, author={Henderson, Paul and Ferrari, Vittorio}, booktitle={British Machine Vision Conference (BMVC)}, year={2018} }

Automatic Generation of Constrained Furniture Layouts

Paul Henderson, Kartic Subr and Vittorio Ferrari

CoRR 2017

Paper – Bibtex

@misc{henderson17corr, title={Automatic Generation of Constrained Furniture Layouts}, author={Paul Henderson and Kartic Subr and Vittorio Ferrari}, howpublished={arXiv:1711.10939}, year={2017} }

End-to-end Training of Object Class Detectors for Mean Average Precision

Paul Henderson and Vittorio Ferrari

ACCV 2016

Paper – Bibtex

@inproceedings{henderson16accv, title={End-to-End Training of Object Class Detectors for Mean Average Precision}, author={Henderson, Paul and Ferrari, Vittorio}, booktitle={Asian Conference on Computer Vision (ACCV)}, year={2016}, pages={198--213} }

Automatically Selecting Inference Algorithms for Discrete Energy Minimisation

Paul Henderson and Vittorio Ferrari

ECCV 2016

Paper – arXiv – Bibtex

@inproceedings{henderson16eccv, title={Automatically Selecting Inference Algorithms for Discrete Energy Minimisation}, author={Henderson, Paul and Ferrari, Vittorio}, booktitle={European Conference on Computer Vision (ECCV)}, year={2016}, pages={235--252} }

I completed a BA in Mathematics at the University of Cambridge in 2009, followed by an MSc in Informatics at the University of Edinburgh in 2010. I then worked at Blackford Analysis for four years, on research and development for medical imaging applications. I completed my PhD in 2018 at the University of Edinburgh in the CALVIN group supervised by Vittorio Ferrari (see here for my thesis). I am currently a postdoc at IST Austria in the group of Christoph Lampert.

My curriculum vitae is available here.