Roberto Cipolla

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Bjorn StengerRakutenVerified email at rakuten.com
Vijay BadrinarayananVP of AI, Wayve, Mountain View, CAVerified email at wayve.ai
Alex KendallUniversity of CambridgeVerified email at cam.ac.uk
Andrew BlakeAI Consultant: Samsung, Five AIVerified email at turing.ac.uk
Philip TorrProfessor, University of OxfordVerified email at eng.ox.ac.uk
Tae-Kyun (T-K) KimKAIST, Imperial College LondonVerified email at kaist.ac.kr
George VogiatzisSenior Lecturer in Computer Science, Aston UniversityVerified email at aston.ac.uk
Tom DrummondMelbourne Connect Chair of Digital Innovation for Society, University of MelbourneVerified email at unimelb.edu.au
Carlos HernandezGoogleVerified email at google.com
Jamie ShottonWayveVerified email at wayve.ai
Gabriel J. BrostowProfessor of Computer Science, University College LondonVerified email at cs.ucl.ac.uk
Ignas BudvytisUniversity Lecturer, Department of Engineering, University of CambridgeVerified email at cam.ac.uk
Paulo R. S. MendoncaMicrosoftVerified email at microsoft.com
Kwan-Yee Kenneth WongAssociate Professor of Computer Science, The University of Hong KongVerified email at cs.hku.hk
Jun SatoNagoya Institute of TechnologyVerified email at nitech.ac.jp
Kin Choong YowAssociate Professor of Computer Engineering, Nanyang Technological UniversityVerified email at ntu.edu.sg
Simon StentToyota Research InstituteVerified email at tri.global
Tat-Jen ChamNanyang Technological UniversityVerified email at ntu.edu.sg
Andrew FitzgibbonMicrosoftVerified email at fitzgibbon.ie
Fotios LogothetisResearcher, Toshiba EuropeVerified email at crl.toshiba.co.uk

Roberto Cipolla

Professor of Information Engineering, University of Cambridge

Verified email at eng.cam.ac.uk - Homepage

Computer Vision


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Segnet: A deep convolutional encoder-decoder architecture for image segmentation V Badrinarayanan, A Kendall, R Cipolla IEEE Transactions on Pattern Analysis and Machine Intelligence 39 (12), 2481 …, 2017	11258	2017
Posenet: A convolutional network for real-time 6-dof camera relocalization A Kendall, M Grimes, R Cipolla 2015 IEEE International Conference on Computer Vision, 2938-2946, 2015	1700	2015
Multi-task learning using uncertainty to weigh losses for scene geometry and semantics A Kendall, Y Gal, R Cipolla Proceedings of the IEEE conference on computer vision and pattern …, 2018	1639	2018
Semantic texton forests for image categorization and segmentation J Shotton, M Johnson, R Cipolla 2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008	1380	2008
Semantic object classes in video: A high-definition ground truth database GJ Brostow, J Fauqueur, R Cipolla Pattern Recognition Letters 30 (2), 88-97, 2009	1101	2009
Bayesian segnet: Model uncertainty in deep convolutional encoder-decoder architectures for scene understanding A Kendall, V Badrinarayanan, R Cipolla British Machine Vision Conference (2017), 2015	975	2015
Segmentation and recognition using structure from motion point clouds GJ Brostow, J Shotton, J Fauqueur, R Cipolla European conference on computer vision, 44-57, 2008	973	2008
Real-time visual tracking of complex structures T Drummond, R Cipolla IEEE Transactions on pattern analysis and machine intelligence 24 (7), 932-946, 2002	880	2002
Segnet: A deep convolutional encoder-decoder architecture for robust semantic pixel-wise labelling V Badrinarayanan, A Handa, R Cipolla arXiv preprint arXiv:1505.07293, 2015	697	2015
Discriminative learning and recognition of image set classes using canonical correlations TK Kim, J Kittler, R Cipolla IEEE Transactions on Pattern Analysis and Machine Intelligence 29 (6), 1005-1018, 2007	688	2007
Feature-based human face detection KC Yow, R Cipolla Image and vision computing 15 (9), 713-735, 1997	669	1997
Model-based hand tracking using a hierarchical bayesian filter B Stenger, A Thayananthan, PHS Torr, R Cipolla IEEE transactions on pattern analysis and machine intelligence 28 (9), 1372-1384, 2006	583	2006
Geometric loss functions for camera pose regression with deep learning A Kendall, R Cipolla Proceedings of the IEEE conference on computer vision and pattern …, 2017	578	2017
Unsupervised bayesian detection of independent motion in crowds GJ Brostow, R Cipolla 2006 IEEE Computer Society Conference on Computer Vision and Pattern …, 2006	568	2006
Multinet: Real-time joint semantic reasoning for autonomous driving M Teichmann, M Weber, M Zoellner, R Cipolla, R Urtasun 2018 IEEE Intelligent Vehicles Symposium (IV), 1013-1020, 2018	560	2018
3D human interface apparatus using motion recognition based on dynamic image processing R Cipolla, Y Okamoto, Y Kuno US Patent 5,581,276, 1996	525	1996
Multiscale categorical object recognition using contour fragments J Shotton, A Blake, R Cipolla IEEE transactions on pattern analysis and machine intelligence 30 (7), 1270-1281, 2008	477	2008
Modelling uncertainty in deep learning for camera relocalization A Kendall, R Cipolla 2016 IEEE international conference on Robotics and Automation (ICRA), 4762-4769, 2016	458	2016
Shape context and chamfer matching in cluttered scenes A Thayananthan, B Stenger, PHS Torr, R Cipolla 2003 IEEE Computer Society Conference on Computer Vision and Pattern …, 2003	443	2003
Contour-based learning for object detection J Shotton, A Blake, R Cipolla Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 1 …, 2005	440	2005

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