Seguir
Roberto Cipolla
Roberto Cipolla
Professor of Information Engineering, University of Cambridge
Email confirmado em eng.cam.ac.uk - Página inicial
Título
Citado por
Citado por
Ano
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
169802017
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
28442018
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
23592015
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
15381999
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
14982009
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
14392008
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
12662015
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
11582008
Real-time visual tracking of complex structures
T Drummond, R Cipolla
IEEE Transactions on pattern analysis and machine intelligence 24 (7), 932-946, 2002
9062002
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
8882015
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
7992017
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
7362018
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
7312007
Feature-based human face detection
KC Yow, R Cipolla
Image and vision computing 15 (9), 713-735, 1997
6901997
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
6002006
Modelling uncertainty in deep learning for camera relocalization
A Kendall, R Cipolla
2016 IEEE international conference on Robotics and Automation (ICRA), 4762-4769, 2016
5962016
Unsupervised bayesian detection of independent motion in crowds
GJ Brostow, R Cipolla
2006 IEEE computer society conference on computer vision and pattern …, 2006
5912006
3D human interface apparatus using motion recognition based on dynamic image processing
R Cipolla, Y Okamoto, Y Kuno
US Patent 5,581,276, 1996
5371996
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
4862008
Fast-SCNN: Fast semantic segmentation network
RPK Poudel, S Liwicki, R Cipolla
British Machine Vision Conference, 2019
4632019
O sistema não pode efectuar a operação agora. Tente mais tarde.
Artigos 1–20