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Matthew Brown 0001
Person information
- affiliation: Google, Mountain View, CA, USA
- affiliation (former): University of Bath, UK
- affiliation (PhD 2005): University of British Columbia, Vancouver, BC, Canada
Other persons with the same name
- Matthew Brown — disambiguation page
- Matthew Brown 0002 — University of Southern California, Los Angeles, CA, USA
- Matthew Brown 0003
— University of Oxford, UK (and 1 more)
- Matthew Brown 0004
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2020 – today
- 2020
- [c14]Tzu-Ming Harry Hsu, Hang Qi, Matthew Brown:
Federated Visual Classification with Real-World Data Distribution. ECCV (10) 2020: 76-92 - [i6]Tzu-Ming Harry Hsu, Hang Qi, Matthew Brown:
Federated Visual Classification with Real-World Data Distribution. CoRR abs/2003.08082 (2020)
2010 – 2019
- 2019
- [i5]Tzu-Ming Harry Hsu, Hang Qi, Matthew Brown:
Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification. CoRR abs/1909.06335 (2019) - 2018
- [c13]Hang Qi, Matthew Brown, David G. Lowe:
Low-Shot Learning With Imprinted Weights. CVPR 2018: 5822-5830 - 2017
- [j5]Wenbin Li
Nonrigid Optical Flow Ground Truth for Real-World Scenes With Time-Varying Shading Effects. IEEE Robotics Autom. Lett. 2(1): 231-238 (2017) - [c12]Tinghui Zhou, Matthew Brown, Noah Snavely, David G. Lowe:
Unsupervised Learning of Depth and Ego-Motion from Video. CVPR 2017: 6612-6619 - [i4]Tinghui Zhou, Matthew Brown, Noah Snavely, David G. Lowe:
Unsupervised Learning of Depth and Ego-Motion from Video. CoRR abs/1704.07813 (2017) - [i3]Hang Qi, Matthew Brown, David G. Lowe:
Learning with Imprinted Weights. CoRR abs/1712.07136 (2017) - 2016
- [j4]Wenbin Li
Drift robust non-rigid optical flow enhancement for long sequences. J. Intell. Fuzzy Syst. 31(5): 2583-2595 (2016) - [c11]Milto Miltiadou
Improving and Optimising Visualisations of Full-waveform LiDAR Data. CGVC 2016: 45-47 - [i2]Wenbin Li, Darren Cosker, Matthew Brown:
Drift Robust Non-rigid Optical Flow Enhancement for Long Sequences. CoRR abs/1603.02252 (2016) - [i1]Wenbin Li, Darren Cosker, Zhihan Lv, Matthew Brown:
Dense Nonrigid Ground Truth for Optical Flow in Real-World Scenes. CoRR abs/1603.08120 (2016) - 2015
- [j3]Alastair Barber
Inferring changes in intrinsic parameters from motion blur. Comput. Graph. 52: 155-170 (2015) - [c10]Damien Teney, Matthew Brown, Dimitry Kit, Peter Hall
Learning similarity metrics for dynamic scene segmentation. CVPR 2015: 2084-2093 - 2014
- [j2]Chuan Li, Philip J. Willis, Matthew Brown:
Appearance Stylization of Manhattan World Buildings. Comput. Graph. Forum 33(1): 15-26 (2014) - [c9]Damien Teney, Matthew Brown:
Segmentation of Dynamic Scenes with Distributions of Spatiotemporally Oriented Energies. BMVC 2014 - [c8]Alastair Barber, Matthew Brown, Paul Hogbin, Darren Cosker
Estimating camera intrinsics from motion blur. CVMP 2014: 6:1-6:10 - [c7]Tom Lovett, Elizabeth Gabe-Thomas
Designing sensor sets for capturing energy events in buildings. e-Energy 2014: 229-230 - [r1]Matthew Brown:
Image Stitching. Computer Vision, A Reference Guide 2014: 385-387 - 2013
- [c6]Wenbin Li
Optical Flow Estimation Using Laplacian Mesh Energy. CVPR 2013: 2435-2442 - [c5]Han Gong, Darren Cosker
User-aided single image shadow removal. ICME 2013: 1-6 - 2012
- [c4]Wenbin Li, Darren Cosker, Matthew Brown:
An Anchor Patch Based Optimization Framework for Reducing Optical Flow Drift in Long Image Sequences. ACCV (3) 2012: 112-125
2000 – 2009
- 2007
- [j1]Matthew Brown, David G. Lowe:
Automatic Panoramic Image Stitching using Invariant Features. Int. J. Comput. Vis. 74(1): 59-73 (2007) - 2005
- [c3]Matthew Brown, David G. Lowe:
Unsupervised 3D Object Recognition and Reconstruction in Unordered Datasets. 3DIM 2005: 56-63 - 2003
- [c2]Matthew Brown, David G. Lowe:
Recognising Panoramas. ICCV 2003: 1218-1227 - 2002
- [c1]Matthew Brown, David G. Lowe:
Invariant Features from Interest Point Groups. BMVC 2002: 1-10
Coauthor Index
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