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.

Leveraging 2D Data to Learn Textured 3D Mesh Generation
Paul Henderson, Vagia Tsiminaki and Christoph Lampert
CVPR 2020 (oral)
Object-Centric Image Generation with Factored Depths, Locations, and Appearances
Titas Anciukevicius, Christoph Lampert and Paul Henderson
CoRR 2020
Learning Single-Image 3D Reconstruction by Generative Modelling of Shape, Pose and Shading
Paul Henderson and Vittorio Ferrari
IJCV 2019
Learning to Generate and Reconstruct 3D Meshes with only 2D Supervision
Paul Henderson and Vittorio Ferrari
BMVC 2018 (oral)
Automatic Generation of Constrained Furniture Layouts
Paul Henderson, Kartic Subr and Vittorio Ferrari
CoRR 2017
End-to-end Training of Object Class Detectors for Mean Average Precision
Paul Henderson and Vittorio Ferrari
ACCV 2016
Automatically Selecting Inference Algorithms for Discrete Energy Minimisation
Paul Henderson and Vittorio Ferrari
ECCV 2016

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. I am currently a postdoc at IST Austria in the group of Christoph Lampert.

My curriculum vitae is available here.