Michael Sapienza

According to our database, Michael Sapienza authored at least 19 papers between 2012 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2019

Straight to Shapes++: Real-time Instance Segmentation Made More Accurate.

Laurynas Miksys, Saumya Jetley, Michael Sapienza, Stuart Golodetz, Philip H. S. Torr

CoRR, 2019

2018

Incremental Tube Construction for Human Action Detection.

Harkirat S. Behl, Michael Sapienza, Gurkirt Singh, Suman Saha, Fabio Cuzzolin, Philip H. S. Torr

Proceedings of the British Machine Vision Conference 2018, 2018

Deep Fully-Connected Part-Based Models for Human Pose Estimation.

Rodrigo Andrade de Bem, Anurag Arnab, Stuart Golodetz, Michael Sapienza, Philip H. S. Torr

Proceedings of The 10th Asian Conference on Machine Learning, 2018

2017

InfiniTAM v3: A Framework for Large-Scale 3D Reconstruction with Loop Closure.

Victor Adrian Prisacariu, Olaf Kähler, Stuart Golodetz, Michael Sapienza, Tommaso Cavallari, Philip H. S. Torr, David William Murray

CoRR, 2017

Spatio-temporal human action localisation and instance segmentation in temporally untrimmed videos.

Suman Saha, Gurkirt Singh, Michael Sapienza, Philip H. S. Torr, Fabio Cuzzolin

CoRR, 2017

Online Real-Time Multiple Spatiotemporal Action Localisation and Prediction.

Gurkirt Singh, Suman Saha, Michael Sapienza, Philip H. S. Torr, Fabio Cuzzolin

Proceedings of the IEEE International Conference on Computer Vision, 2017

Straight to Shapes: Real-Time Detection of Encoded Shapes.

Saumya Jetley, Michael Sapienza, Stuart Golodetz, Philip H. S. Torr

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Heterogeneous wireless system testbed for remote image processing in automated vehicles.

Cristian Roman, Michael Sapienza, Peter Ball, Shumao Ou, Fabio Cuzzolin, Philip H. S. Torr

Proceedings of the 10th International Symposium on Communication Systems, 2016

Deep Learning for Detecting Multiple Space-Time Action Tubes in Videos.

Suman Saha, Gurkirt Singh, Michael Sapienza, Philip H. S. Torr, Fabio Cuzzolin

Proceedings of the British Machine Vision Conference 2016, 2016

2015

SemanticPaint: A Framework for the Interactive Segmentation of 3D Scenes.

Stuart Golodetz, Michael Sapienza, Julien P. C. Valentin, Vibhav Vineet, Ming-Ming Cheng, Anurag Arnab, Victor Adrian Prisacariu, Olaf Kähler, Carl Yuheng Ren, David William Murray, Shahram Izadi, Philip H. S. Torr

CoRR, 2015

SemanticPaint: interactive segmentation and learning of 3D worlds.

Stuart Golodetz, Michael Sapienza, Julien P. C. Valentin, Vibhav Vineet, Ming-Ming Cheng, Victor Adrian Prisacariu, Olaf Kähler, Carl Yuheng Ren, Anurag Arnab, Stephen L. Hicks, David William Murray, Shahram Izadi, Philip H. S. Torr

Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2015

Joint Object-Material Category Segmentation from Audio-Visual Cues.

Anurag Arnab, Michael Sapienza, Stuart Golodetz, Julien P. C. Valentin, Ondrej Miksik, Shahram Izadi, Philip H. S. Torr

Proceedings of the British Machine Vision Conference 2015, 2015

2014

Recognising and localising human actions.

Michael Sapienza

PhD thesis, 2014

Learning Pullback HMM Distances.

Fabio Cuzzolin, Michael Sapienza

IEEE Trans. Pattern Anal. Mach. Intell., 2014

Learning Discriminative Space-Time Action Parts from Weakly Labelled Videos.

Michael Sapienza, Fabio Cuzzolin, Philip H. S. Torr

Int. J. Comput. Vis., 2014

Feature sampling and partitioning for visual vocabulary generation on large action classification datasets.

Michael Sapienza, Fabio Cuzzolin, Philip H. S. Torr

CoRR, 2014

2013

Real-time visuomotor update of an active binocular head.

Michael Sapienza, Miles E. Hansard, Radu Horaud

Auton. Robots, 2013

2012

A Generative Traversability Model for Monocular Robot Self-guidance.

Michael Sapienza, Kenneth P. Camilleri

Proceedings of the ICINCO 2012 - Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics, Volume 2, Rome, Italy, 28, 2012

Learning discriminative space-time actions from weakly labelled videos.

Michael Sapienza, Fabio Cuzzolin, Philip H. S. Torr

Proceedings of the British Machine Vision Conference, 2012