Portrait of Antonio Criminisi

Antonio Criminisi

Principal Researcher

About

Antonio Criminisi is a Principal Researcher in the Machine Intelligence and Perception group.

Projects

SemanticPaint: Interactive 3D Labeling and Learning at your Fingertips

Established: June 29, 2015

We present a new interactive approach to 3D scene understanding. Our system, SemanticPaint, allows users to simultaneously scan their environment, whilst interactively segmenting the scene simply by reaching out and touching any desired object or surface. Our system continuously learns…

Learning to be a depth camera for close-range human capture and interaction

Established: July 14, 2014

We present a machine learning technique for estimating absolute, per-pixel depth using any conventional monocular 2D camera, with minor hardware modifications. Our approach targets close-range human capture and interaction where dense 3D estimation of hands and faces is desired. We…

Filter Forests for Learning Data-Dependent Convolutional Kernels

Established: February 10, 2014

We propose ‘filter forests’ (FF), an efficient new discriminative approach for predicting continuous variables given a signal and its context. FF can be used for general signal restoration tasks that can be tackled via convolutional filtering, where it attempts to…

RGB-D Dataset 7-Scenes

Established: January 1, 2013

The 7-Scenes dataset is a collection of tracked RGB-D camera frames. The dataset may be used for evaluation of methods for different applications such as dense tracking and mapping and relocalization techniques. Overview All scenes were recorded…

Publications

2016

2015

2014

Quantifying Progression of Multiple Sclerosis via Classification of Depth Videos
P. Kontschieder, M. DSouza, C. P. Kamm, J. Burggraaff, P. Tewarie, T. Vogel, M. Azzarito, P. Chin, F. Dahlke, C. Polman, L. Kappos, B. Uitdehaag, A. Criminisi, J.F. Dorn, C. Morrison, R. Corish, D. Zikic, A. Sellen, Darko Zikic, Abigail Sellen, Antonio Criminisi, Peter Kontschieder, in MICCAI 2014 - Intl Conf. on Medical Image Computing and Computer Assisted Intervention, Springer, September 1, 2014, View abstract, Download PDF

2013

2012

2011

2010

2009

2008

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2006

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1996

Projects

Other

  • The paper I have co-authored with P. Kontschieder, M. Fiterau and S. Rota Bulo’ has been awarded the David Marr Prize at the last ICCV 2015 in Chile.
  • A recent interview for BBC Click on machine learning for medical image analysis