Matthew Brown

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David LoweProfessor Emeritus, Computer Science Dept., University of British ColumbiaVerified email at cs.ubc.ca
Simon WinderMurley Moss Research (Contracting)Verified email at bath.edu
Boqing GongBoston University, GoogleVerified email at google.com
Richard SzeliskiCSE, The University of WashingtonVerified email at cs.washington.edu
Hang QiGoogle DeepMindVerified email at google.com
Gang HuaVice President, Multimodal Experiences Research Lab, Dolby Laboratories, IEEE & IAPR FellowVerified email at dolby.com
Grant SchindlerResearch Scientist, Computer Science, Georgia Institute of TechnologyVerified email at gatech.edu
Ming-Hsuan YangUniversity of California at Merced; Google DeepMindVerified email at ucmerced.edu
Sabine SüsstrunkProfessor, Images and Visual Representation Lab, EPFLVerified email at epfl.ch
Dan KondratyukGoogleVerified email at google.com
Tzu-Ming Harry HsuMassachusetts Institute of TechnologyVerified email at mit.edu
Noah SnavelyProfessor at Cornell Tech and Researcher at Google DeepMindVerified email at cs.cornell.edu
Tinghui ZhouRoblox, Foundation AIVerified email at roblox.com
Darren CoskerPrincipal Scientist Manager @ Microsoft & Professor @ University of BathVerified email at bath.ac.uk
Andrew BlakeAI ConsultantVerified email at ablake.ai
Carsten RotherProfessor Uni Heidelberg / GermanyVerified email at iwr.uni-heidelberg.de
Vincent LepetitEcole des Ponts ParisTechVerified email at enpc.fr
Raviteja VemulapalliMachine Learning Researcher at AppleVerified email at apple.com
Mingxing TanWaymo Research, Google BrainVerified email at google.com
Liangzhe YuanUniversity of PennsylvaniaVerified email at seas.upenn.edu

Matthew Brown

Principal Scientist, Wayve

Verified email at wayve.ai - Homepage

Computer Vision


Title Sort by citations Sort by year Sort by 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	3747	2007
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	3239	2017
Recognising panoramas. M Brown, DG Lowe ICCV 3, 1218, 2003	1645	2003
Measuring the effects of non-identical data distribution for federated visual classification TMH Hsu, H Qi, M Brown arXiv preprint arXiv:1909.06335, 2019	1243	2019
Invariant features from interest point groups. M Brown, DG Lowe Bmvc 4 (Sep), 398-410, 2002	1231	2002
City-scale location recognition G Schindler, M Brown, R Szeliski 2007 IEEE Conference on Computer Vision and Pattern Recognition, 1-7, 2007	885	2007
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	830	2004
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	700*
Frame-recurrent video super-resolution MSM Sajjadi, R Vemulapalli, M Brown Proceedings of the IEEE conference on computer vision and pattern …, 2018	657	2018
Low-shot learning with imprinted weights H Qi, M Brown, DG Lowe Proceedings of the IEEE conference on computer vision and pattern …, 2018	650	2018
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	631	2010
Multi-spectral SIFT for scene category recognition M Brown, S Süsstrunk CVPR 2011, 177-184, 2011	545	2011
Learning local image descriptors SAJ Winder, M Brown 2007 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2007	534	2007
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	427	2005
Picking the best daisy S Winder, G Hua, M Brown 2009 IEEE conference on computer vision and pattern recognition, 178-185, 2009	404	2009
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	360	2014
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	332	2020
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	301	2021
Are sparse representations really relevant for image classification? R Rigamonti, MA Brown, V Lepetit CVPR 2011, 1545-1552, 2011	281	2011
Discriminant embedding for local image descriptors G Hua, M Brown, S Winder 2007 IEEE 11th International Conference on Computer Vision, 1-8, 2007	237	2007

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