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Matthew Brown
Matthew Brown
Research Scientist, Google
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
Automatic panoramic image stitching using invariant features
M Brown, DG Lowe
International journal of computer vision 74, 59-73, 2007
36002007
Unsupervised learning of depth and ego-motion from video
T Zhou, M Brown, N Snavely, DG Lowe
Proceedings of the IEEE conference on computer vision and pattern …, 2017
29462017
Recognising panoramas.
M Brown, DG Lowe
ICCV 3, 1218, 2003
16242003
Invariant features from interest point groups.
M Brown, DG Lowe
Bmvc 4 (Sep), 398-410, 2002
12112002
Measuring the effects of non-identical data distribution for federated visual classification
TMH Hsu, H Qi, M Brown
arXiv preprint arXiv:1909.06335, 2019
9582019
City-scale location recognition
G Schindler, M Brown, R Szeliski
2007 IEEE Conference on Computer Vision and Pattern Recognition, 1-7, 2007
8772007
Interactive image segmentation using an adaptive GMMRF model
A Blake, C Rother, M Brown, P Perez, P Torr
Computer Vision-ECCV 2004: 8th European Conference on Computer Vision …, 2004
8232004
Multi-Image Matching using Multi-Scale Oriented Patches
M Brown, R Szeliski, S Winder, MIMU Multi-Scale
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision …, 0
684*
Discriminative learning of local image descriptors
M Brown, G Hua, S Winder
IEEE transactions on pattern analysis and machine intelligence 33 (1), 43-57, 2010
6172010
Low-shot learning with imprinted weights
H Qi, M Brown, DG Lowe
Proceedings of the IEEE conference on computer vision and pattern …, 2018
6082018
Frame-recurrent video super-resolution
MSM Sajjadi, R Vemulapalli, M Brown
Proceedings of the IEEE conference on computer vision and pattern …, 2018
5952018
Learning local image descriptors
SAJ Winder, M Brown
2007 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2007
5302007
Multi-spectral SIFT for scene category recognition
M Brown, S Süsstrunk
CVPR 2011, 177-184, 2011
5022011
Unsupervised 3D object recognition and reconstruction in unordered datasets
M Brown, DG Lowe
Fifth International Conference on 3-D Digital Imaging and Modeling (3DIM'05 …, 2005
4232005
Picking the best daisy
S Winder, G Hua, M Brown
2009 IEEE conference on computer vision and pattern recognition, 178-185, 2009
4042009
Segmentation of brain tumor tissues with convolutional neural networks
D Zikic, Y Ioannou, M Brown, A Criminisi
Proceedings MICCAI-BRATS 36 (2014), 36-39, 2014
3422014
Rethinking class-balanced methods for long-tailed visual recognition from a domain adaptation perspective
MA Jamal, M Brown, MH Yang, L Wang, B Gong
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
2952020
Are sparse representations really relevant for image classification?
R Rigamonti, MA Brown, V Lepetit
CVPR 2011, 1545-1552, 2011
2752011
Movinets: Mobile video networks for efficient video recognition
D Kondratyuk, L Yuan, Y Li, L Zhang, M Tan, M Brown, B Gong
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
2472021
Discriminant embedding for local image descriptors
G Hua, M Brown, S Winder
2007 IEEE 11th International Conference on Computer Vision, 1-8, 2007
2362007
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Articles 1–20