Roberto Cipolla

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Citations	63647	38036
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Vijay BadrinarayananVP of AI, Wayve, Mountain View, CAVerified email at wayve.ai
Bjorn StengerRakutenVerified email at rakuten.com
Alex KendallUniversity of CambridgeVerified email at cam.ac.uk
Andrew BlakeAI ConsultantVerified email at ablake.ai
Tae-Kyun (T-K) KimKAIST, Imperial College LondonVerified email at kaist.ac.kr
Philip TorrProfessor, University of OxfordVerified email at eng.ox.ac.uk
George VogiatzisReader, Loughborough UniversityVerified email at lboro.ac.uk
Ignas BudvytisUniversity Lecturer (Assistant Professor), Department of Engineering, University of CambridgeVerified email at cam.ac.uk
Carlos HernandezGoogleVerified email at google.com
Tom DrummondMelbourne Connect Chair of Digital Innovation for Society, University of MelbourneVerified email at unimelb.edu.au
Gabriel J. BrostowProfessor of Computer Science, University College LondonVerified email at cs.ucl.ac.uk
Jamie ShottonWayveVerified email at wayve.ai
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
Fotios LogothetisResearcher, Toshiba EuropeVerified email at crl.toshiba.co.uk
Kin Choong YowProfessor of Software Systems Engineering, University of ReginaVerified email at uregina.ca
Simon StentToyota Research InstituteVerified email at tri.global
Andrew FitzgibbonGraphcoreVerified email at fitzgibbon.ie
Tat-Jen ChamNanyang Technological UniversityVerified email at ntu.edu.sg

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	17070	2017
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	2872	2018
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	2375	2015
Object recognition with gradient-based learning DA Forsyth, JL Mundy, V di Gesú, R Cipolla, Y LeCun, P Haffner, L Bottou, ... Shape, contour and grouping in computer vision, 319-345, 1999	1545	1999
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	1500	2009
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	1441	2008
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	1270	2015
Segmentation and recognition using structure from motion point clouds GJ Brostow, J Shotton, J Fauqueur, R Cipolla Computer Vision–ECCV 2008: 10th European Conference on Computer Vision …, 2008	1161	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	913	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	894	2015
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	806	2017
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	745	2018
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	731	2007
Feature-based human face detection KC Yow, R Cipolla Image and vision computing 15 (9), 713-735, 1997	690	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	601	2006
Modelling uncertainty in deep learning for camera relocalization A Kendall, R Cipolla 2016 IEEE international conference on Robotics and Automation (ICRA), 4762-4769, 2016	600	2016
Unsupervised bayesian detection of independent motion in crowds GJ Brostow, R Cipolla 2006 IEEE computer society conference on computer vision and pattern …, 2006	591	2006
3D human interface apparatus using motion recognition based on dynamic image processing R Cipolla, Y Okamoto, Y Kuno US Patent 5,581,276, 1996	537	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	486	2008
Fast-SCNN: Fast semantic segmentation network RPK Poudel, S Liwicki, R Cipolla British Machine Vision Conference, 2019	469	2019

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