Gustavo Carneiro
Gustavo Carneiro
Verified email at adelaide.edu.au - Homepage
Title
Cited by
Cited by
Year
Supervised learning of semantic classes for image annotation and retrieval
G Carneiro, AB Chan, PJ Moreno, N Vasconcelos
IEEE transactions on pattern analysis and machine intelligence 29 (3), 394-410, 2007
11062007
Unsupervised cnn for single view depth estimation: Geometry to the rescue
R Garg, VK Bg, G Carneiro, I Reid
European conference on computer vision, 740-756, 2016
7112016
Learning local image descriptors with deep siamese and triplet convolutional networks by minimising global loss functions
V Kumar BG, G Carneiro, I Reid
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
2152016
Formulating semantic image annotation as a supervised learning problem
G Carneiro, N Vasconcelos
2005 IEEE Computer Society Conference on Computer Vision and Pattern …, 2005
2042005
Detection and measurement of fetal anatomies from ultrasound images using a constrained probabilistic boosting tree
G Carneiro, B Georgescu, S Good, D Comaniciu
IEEE transactions on medical imaging 27 (9), 1342-1355, 2008
1982008
Combining deep learning and level set for the automated segmentation of the left ventricle of the heart from cardiac cine magnetic resonance
TA Ngo, Z Lu, G Carneiro
Medical image analysis 35, 159-171, 2017
1912017
Multi-scale phase-based local features
G Carneiro, AD Jepson
2003 IEEE Computer Society Conference on Computer Vision and Pattern …, 2003
1862003
Unregistered multiview mammogram analysis with pre-trained deep learning models
G Carneiro, J Nascimento, AP Bradley
International Conference on Medical Image Computing and Computer-Assisted …, 2015
1762015
The segmentation of the left ventricle of the heart from ultrasound data using deep learning architectures and derivative-based search methods
G Carneiro, JC Nascimento, A Freitas
IEEE Transactions on Image Processing 21 (3), 968-982, 2011
1512011
Automated mass detection in mammograms using cascaded deep learning and random forests
N Dhungel, G Carneiro, AP Bradley
2015 international conference on digital image computing: techniques and …, 2015
1482015
Robust optimization for deep regression
V Belagiannis, C Rupprecht, G Carneiro, N Navab
Proceedings of the IEEE international conference on computer vision, 2830-2838, 2015
1312015
Phase-based local features
G Carneiro, AD Jepson
European Conference on Computer Vision, 282-296, 2002
1302002
A deep learning approach for the analysis of masses in mammograms with minimal user intervention
N Dhungel, G Carneiro, AP Bradley
Medical image analysis 37, 114-128, 2017
1292017
An improved joint optimization of multiple level set functions for the segmentation of overlapping cervical cells
Z Lu, G Carneiro, AP Bradley
IEEE Transactions on Image Processing 24 (4), 1261-1272, 2015
1262015
Smart mining for deep metric learning
B Harwood, V Kumar BG, G Carneiro, I Reid, T Drummond
Proceedings of the IEEE International Conference on Computer Vision, 2821-2829, 2017
1252017
Multi-modal cycle-consistent generalized zero-shot learning
R Felix, VBG Kumar, I Reid, G Carneiro
Proceedings of the European Conference on Computer Vision (ECCV), 21-37, 2018
1112018
A bayesian data augmentation approach for learning deep models
T Tran, T Pham, G Carneiro, L Palmer, I Reid
Advances in neural information processing systems, 2797-2806, 2017
992017
Combining multiple dynamic models and deep learning architectures for tracking the left ventricle endocardium in ultrasound data
G Carneiro, JC Nascimento
IEEE transactions on pattern analysis and machine intelligence 35 (11), 2592 …, 2013
992013
Automated nucleus and cytoplasm segmentation of overlapping cervical cells
Z Lu, G Carneiro, AP Bradley
International Conference on Medical Image Computing and Computer-Assisted …, 2013
942013
Sparse flexible models of local features
G Carneiro, D Lowe
European Conference on Computer Vision, 29-43, 2006
942006
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Articles 1–20