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Roberto Cipolla
Roberto Cipolla
Professor of Information Engineering, University of Cambridge
Email confirmado em eng.cam.ac.uk - Página inicial
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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
209192017
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
37182018
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
28762015
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
17322009
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
17021999
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
14822008
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
14472015
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
12982008
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
10112015
Real-time visual tracking of complex structures
T Drummond, R Cipolla
IEEE Transactions on pattern analysis and machine intelligence 24 (7), 932-946, 2002
9282002
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
9262017
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
8892018
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
7592007
Feature-based human face detection
KC Yow, R Cipolla
Image and vision computing 15 (9), 713-735, 1997
7031997
Modelling uncertainty in deep learning for camera relocalization
A Kendall, R Cipolla
2016 IEEE international conference on Robotics and Automation (ICRA), 4762-4769, 2016
6672016
Fast-SCNN: Fast semantic segmentation network
RPK Poudel, S Liwicki, R Cipolla
British Machine Vision Conference, 2019
6612019
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
6092006
Unsupervised bayesian detection of independent motion in crowds
GJ Brostow, R Cipolla
2006 IEEE computer society conference on computer vision and pattern …, 2006
6022006
3D human interface apparatus using motion recognition based on dynamic image processing
R Cipolla, Y Okamoto, Y Kuno
US Patent 5,581,276, 1996
5541996
Using multiple hypotheses to improve depth-maps for multi-view stereo
NDF Campbell, G Vogiatzis, C Hernández, R Cipolla
Computer Vision–ECCV 2008: 10th European Conference on Computer Vision …, 2008
4952008
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