Παρακολούθηση
Antonio Criminisi
Antonio Criminisi
Partner Research Lead at Microsoft Corporation
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα microsoft.com
Τίτλος
Παρατίθεται από
Παρατίθεται από
Έτος
The multimodal brain tumor image segmentation benchmark (BRATS)
BH Menze, A Jakab, S Bauer, J Kalpathy-Cramer, K Farahani, J Kirby, ...
IEEE transactions on medical imaging 34 (10), 1993-2024, 2014
48022014
Region filling and object removal by exemplar-based image inpainting
A Criminisi, P Pérez, K Toyama
Image Processing, IEEE Transactions on 13 (9), 1200-1212, 2004
41182004
Region filling and object removal by exemplar-based image inpainting
A Criminisi, P Pérez, K Toyama
IEEE Transactions on image processing 13 (9), 1200-1212, 2004
41182004
TextonBoost: Joint Appearance, Shape and Context Modeling for Multi-class Object Recognition and Segmentation
J Shotton, J Winn, C Rother, A Criminisi
Computer Vision–ECCV 2006: 9th European Conference on Computer Vision, Graz …, 2006
15782006
Object removal by exemplar-based inpainting
A Criminisi, P Perez, K Toyama
2003 IEEE Computer Society Conference on Computer Vision and Pattern …, 2003
13682003
Textonboost for image understanding: Multi-class object recognition and segmentation by jointly modeling texture, layout, and context
J Shotton, J Winn, C Rother, A Criminisi
International journal of computer vision 81, 2-23, 2009
13582009
Textonboost for image understanding: Multi-class object recognition and segmentation by jointly modeling texture, layout, and context
J Shotton, J Winn, C Rother, A Criminisi
International Journal of Computer Vision 81 (1), 2-23, 2009
13582009
Decision forests: A unified framework for classification, regression, density estimation, manifold learning and semi-supervised learning
A Criminisi, J Shotton, E Konukoglu
Foundations and trends® in computer graphics and vision 7 (2–3), 81-227, 2012
11852012
Decision forests: A unified framework for classification, regression, density estimation, manifold learning and semi-supervised learning
A Criminisi, J Shotton, E Konukoglu
Foundations and trends® in computer graphics and vision 7 (2–3), 81-227, 2012
11852012
Object categorization by learned universal visual dictionary
J Winn, A Criminisi, T Minka
Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 2 …, 2005
11592005
Single view metrology
A Criminisi, I Reid, A Zisserman
International Journal of Computer Vision 40, 123-148, 2000
11342000
Single view metrology
A Criminisi, I Reid, A Zisserman
International Journal of Computer Vision 40 (2), 123-148, 2000
11342000
Scene coordinate regression forests for camera relocalization in RGB-D images
J Shotton, B Glocker, C Zach, S Izadi, A Criminisi, A Fitzgibbon
Proceedings of the IEEE conference on computer vision and pattern …, 2013
8532013
Decision forests for computer vision and medical image analysis
A Criminisi, J Shotton
Springer, 2013
8022013
Decision forests for computer vision and medical image analysis
A Criminisi, J Shotton
Springer Science & Business Media, 2013
8002013
Efficient human pose estimation from single depth images
J Shotton, R Girshick, A Fitzgibbon, T Sharp, M Cook, M Finocchio, ...
IEEE transactions on pattern analysis and machine intelligence 35 (12), 2821 …, 2012
7002012
Regression forests for efficient anatomy detection and localization in computed tomography scans
A Criminisi, D Robertson, E Konukoglu, J Shotton, S Pathak, S White, ...
Medical image analysis 17 (8), 1293-1303, 2013
6382013
Deep neural decision forests
P Kontschieder, M Fiterau, A Criminisi, SR Bulo
Proceedings of the IEEE international conference on computer vision, 1467-1475, 2015
5792015
Efficient regression of general-activity human poses from depth images
R Girshick, J Shotton, P Kohli, A Criminisi, A Fitzgibbon
2011 International Conference on Computer Vision, 415-422, 2011
5212011
Unsupervised domain adaptation in brain lesion segmentation with adversarial networks
K Kamnitsas, C Baumgartner, C Ledig, V Newcombe, J Simpson, A Kane, ...
Information Processing in Medical Imaging: 25th International Conference …, 2017
5082017
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