Hossein Azizpour
Title
Cited by
Cited by
Year
CNN features off-the-shelf: an astounding baseline for recognition
A Sharif Razavian, H Azizpour, J Sullivan, S Carlsson
Proceedings of the IEEE conference on computer vision and pattern …, 2014
44932014
From generic to specific deep representations for visual recognition
H Azizpour, AS Razavian, J Sullivan, A Maki, S Carlsson
Computer Vision and Pattern Recognition Workshops (CVPRW), 2015 IEEE …, 2015
4152015
Object Detection Using Strongly-Supervised Deformable Part Models
H Azizpour, I Laptev
European Conference on Computer Vision (ECCV), 2012
2472012
Factors of transferability for a generic convnet representation
H Azizpour, A Razavian, J Sullivan, A Maki, S Carlsson
IEEE Transactions on Pattern Analysis and Machine Intelligence 38 (9), 1790-1802, 2016
2432016
The role of artificial intelligence in achieving the Sustainable Development Goals
R Vinuesa, H Azizpour, I Leite, M Balaam, V Dignum, S Domisch, ...
Nature communications 11 (1), 1-10, 2020
2032020
Digital image analysis in breast pathology—from image processing techniques to artificial intelligence
S Robertson, H Azizpour, K Smith, J Hartman
Translational Research 194, 19-35, 2018
1352018
Bayesian uncertainty estimation for batch normalized deep networks
M Teye, H Azizpour, K Smith
International Conference on Machine Learning (ICML), 2018, 2018
1202018
Multi-view Body Part Recognition with Random Forests
V Kazemi, M Burenius, H Azizpour, J Sullivan
British Machine Vision Conference (BMVC) 2013, 2013
812013
Predictions of turbulent shear flows using deep neural networks
PA Srinivasan, L Guastoni, H Azizpour, P Schlatter, R Vinuesa
Physical Review Fluids 4 (5), 054603, 2019
672019
Phenotypic image analysis software tools for exploring and understanding big image data from cell-based assays
K Smith, F Piccinini, T Balassa, K Koos, T Danka, H Azizpour, P Horvath
Cell systems 6 (6), 636-653, 2018
402018
Mixture Component Identification and Learning for Visual Recognition
O Aghazadeh, H Azizpour, J Sullivan, S Carlsson
European Conference on Computer Vision (ECCV), 2012
402012
Explainability Techniques for Graph Convolutional Networks
F Baldassarre, H Azizpour
International Conference on Machine Learning (ICML), 2019 Workshop on …, 2019
352019
Comparison of a deep learning risk score and standard mammographic density score for breast cancer risk prediction
K Dembrower, Y Liu, H Azizpour, M Eklund, K Smith, P Lindholm, F Strand
Radiology 294 (2), 265-272, 2020
282020
Convolutional-network models to predict wall-bounded turbulence from wall quantities
L Guastoni, A Güemes, A Ianiro, S Discetti, P Schlatter, H Azizpour, ...
arXiv preprint arXiv:2006.12483, 2020
14*2020
Spotlight the Negatives: A Generalized Discriminative Latent Model
H Azizpour, M Arefiyan, S Naderi Parizi, S Carlsson
British Machine Vision Conference (BMVC), 2015
92015
GraphQA: Protein model quality assessment using graph convolutional networks
F Baldassarre, DM Hurtado, A Elofsson, H Azizpour
Bioinformatics, 2020
82020
The preimage of rectifier network activities
S Carlsson, H Azizpour, A Razavian
82016
Explanation-based Weakly-supervised Learning of Visual Relations with Graph Networks
F Baldassarre, K Smith, J Sullivan, H Azizpour
European Conference on Computer Vision (ECCV), 2020
62020
Efficient Evaluation-Time Uncertainty Estimation by Improved Distillation
E Englesson, H Azizpour
International Conference on Machine Learning (ICML), 2019 Workshop on …, 2019
42019
Persistent evidence of local image properties in generic convnets
AS Razavian, H Azizpour, A Maki, J Sullivan, CH Ek, S Carlsson
Scandinavian Conference on Image Analysis, 249-262, 2015
42015
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