default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDMatthew Brown 0001
Person information
- affiliation: Wayve Technologies
- affiliation (former): 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
![[0000-0003-1127-0279]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-1127-0279")
— University of Oxford, UK (and 1 more) - Matthew Brown 0004 — Stanford University, Department of Mechanical Engineering, CA, USA
- Matthew Brown 0005 — Massachusetts Institute of Technology, MIT Computer Science and Artificial Intelligence Lab., Cambridge, MA, USA
- Matthew Brown 0006 — Google, Inc.
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[c27]Akshay Krishnan, Abhijit Kundu, Kevis-Kokitsi Maninis, James Hays, Matthew Brown:
OmniNOCS: A Unified NOCS Dataset and Model for 3D Lifting of 2D Objects. ECCV (75) 2024: 127-145- [i20]Akshay Krishnan, Abhijit Kundu, Kevis-Kokitsi Maninis, James Hays, Matthew Brown:
OmniNOCS: A unified NOCS dataset and model for 3D lifting of 2D objects. CoRR abs/2407.08711 (2024) - 2023
- [c26]Chen Liang, Jiahui Yu, Ming-Hsuan Yang, Matthew Brown, Yin Cui, Tuo Zhao, Boqing Gong, Tianyi Zhou:
Module-wise Adaptive Distillation for Multimodality Foundation Models. NeurIPS 2023 - [i19]Chen Liang, Jiahui Yu, Ming-Hsuan Yang, Matthew Brown, Yin Cui, Tuo Zhao, Boqing Gong, Tianyi Zhou:
Module-wise Adaptive Distillation for Multimodality Foundation Models. CoRR abs/2310.04550 (2023) - 2022
- [j6]Yu-Chuan Su, Soravit Changpinyo, Xiangning Chen, Sathish Thoppay, Cho-Jui Hsieh, Lior Shapira, Radu Soricut, Hartwig Adam, Matthew Brown, Ming-Hsuan Yang, Boqing Gong:
2.5D visual relationship detection. Comput. Vis. Image Underst. 224: 103557 (2022) - [c25]Rui Qian, Yeqing Li, Liangzhe Yuan, Boqing Gong, Ting Liu, Matthew Brown, Serge J. Belongie, Ming-Hsuan Yang, Hartwig Adam, Yin Cui:
On Temporal Granularity in Self-Supervised Video Representation Learning. BMVC 2022: 541 - 2021
- [c24]Christopher Xie, Keunhong Park, Ricardo Martin-Brualla, Matthew Brown:
FiG-NeRF: Figure-Ground Neural Radiance Fields for 3D Object Category Modelling. 3DV 2021: 962-971 - [c23]Dan Kondratyuk, Liangzhe Yuan, Yandong Li, Li Zhang, Mingxing Tan, Matthew Brown, Boqing Gong:
MoViNets: Mobile Video Networks for Efficient Video Recognition. CVPR 2021: 16020-16030 - [i18]Dan Kondratyuk, Liangzhe Yuan, Yandong Li, Li Zhang, Mingxing Tan, Matthew Brown, Boqing Gong:
MoViNets: Mobile Video Networks for Efficient Video Recognition. CoRR abs/2103.11511 (2021) - [i17]Christopher Xie, Keunhong Park, Ricardo Martin-Brualla, Matthew Brown:
FiG-NeRF: Figure-Ground Neural Radiance Fields for 3D Object Category Modelling. CoRR abs/2104.08418 (2021) - [i16]Yu-Chuan Su, Soravit Changpinyo, Xiangning Chen, Sathish Thoppay, Cho-Jui Hsieh, Lior Shapira, Radu Soricut, Hartwig Adam, Matthew Brown, Ming-Hsuan Yang, Boqing Gong:
2.5D Visual Relationship Detection. CoRR abs/2104.12727 (2021) - [i15]Rui Qian, Yeqing Li, Liangzhe Yuan, Boqing Gong, Ting Liu, Matthew Brown, Serge J. Belongie, Ming-Hsuan Yang, Hartwig Adam, Yin Cui:
Exploring Temporal Granularity in Self-Supervised Video Representation Learning. CoRR abs/2112.04480 (2021) - [i14]Qing Li, Boqing Gong, Yin Cui, Dan Kondratyuk, Xianzhi Du, Ming-Hsuan Yang, Matthew Brown:
Towards a Unified Foundation Model: Jointly Pre-Training Transformers on Unpaired Images and Text. CoRR abs/2112.07074 (2021) - 2020
- [c22]Muhammad Abdullah Jamal, Matthew Brown, Ming-Hsuan Yang, Liqiang Wang, Boqing Gong:
Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition From a Domain Adaptation Perspective. CVPR 2020: 7607-7616 - [c21]Tzu-Ming Harry Hsu, Hang Qi, Matthew Brown:
Federated Visual Classification with Real-World Data Distribution. ECCV (10) 2020: 76-92 - [c20]Ricardo Martin-Brualla, Rohit Pandey, Sofien Bouaziz, Matthew Brown, Dan B. Goldman:
GeLaTO: Generative Latent Textured Objects. ECCV (6) 2020: 242-258 - [i13]Tzu-Ming Harry Hsu, Hang Qi, Matthew Brown:
Federated Visual Classification with Real-World Data Distribution. CoRR abs/2003.08082 (2020) - [i12]Muhammad Abdullah Jamal, Matthew Brown, Ming-Hsuan Yang, Liqiang Wang, Boqing Gong:
Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition from a Domain Adaptation Perspective. CoRR abs/2003.10780 (2020) - [i11]Dan Kondratyuk, Mingxing Tan, Matthew Brown, Boqing Gong:
When Ensembling Smaller Models is More Efficient than Single Large Models. CoRR abs/2005.00570 (2020) - [i10]Ricardo Martin-Brualla, Rohit Pandey, Sofien Bouaziz, Matthew Brown, Dan B. Goldman:
GeLaTO: Generative Latent Textured Objects. CoRR abs/2008.04852 (2020)
2010 – 2019
- 2019
- [i9]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
- [c19]Hang Qi, Matthew Brown, David G. Lowe:
Low-Shot Learning With Imprinted Weights. CVPR 2018: 5822-5830 - [c18]Mehdi S. M. Sajjadi, Raviteja Vemulapalli, Matthew Brown:
Frame-Recurrent Video Super-Resolution. CVPR 2018: 6626-6634 - [c17]Tal Remez, Jonathan Huang, Matthew Brown:
Learning to Segment via Cut-and-Paste. ECCV (7) 2018: 39-54 - [i8]Mehdi S. M. Sajjadi, Raviteja Vemulapalli, Matthew Brown:
Frame-Recurrent Video Super-Resolution. CoRR abs/1801.04590 (2018) - [i7]Tal Remez, Jonathan Huang, Matthew Brown:
Learning to Segment via Cut-and-Paste. CoRR abs/1803.06414 (2018) - 2017
- [j5]Wenbin Li, Darren Cosker, Zhihan Lv, Matthew Brown:
Nonrigid Optical Flow Ground Truth for Real-World Scenes With Time-Varying Shading Effects. IEEE Robotics Autom. Lett. 2(1): 231-238 (2017) - [c16]Bryan A. Plummer, Matthew Brown, Svetlana Lazebnik:
Enhancing Video Summarization via Vision-Language Embedding. CVPR 2017: 1052-1060 - [c15]Tinghui Zhou, Matthew Brown, Noah Snavely, David G. Lowe:
Unsupervised Learning of Depth and Ego-Motion from Video. CVPR 2017: 6612-6619 - [i6]Subarna Tripathi, Maxwell Collins, Matthew Brown, Serge J. Belongie:
Pose2Instance: Harnessing Keypoints for Person Instance Segmentation. CoRR abs/1704.01152 (2017) - [i5]Tinghui Zhou, Matthew Brown, Noah Snavely, David G. Lowe:
Unsupervised Learning of Depth and Ego-Motion from Video. CoRR abs/1704.07813 (2017) - [i4]Hang Qi, Matthew Brown, David G. Lowe:
Learning with Imprinted Weights. CoRR abs/1712.07136 (2017) - 2016
- [j4]Wenbin Li, Darren Cosker, Matthew Brown:
Drift robust non-rigid optical flow enhancement for long sequences. J. Intell. Fuzzy Syst. 31(5): 2583-2595 (2016) - [c14]Kwamina Edum-Fotwe, Paul Shepherd, Matthew Brown, Dan Harper, Richard Dinnis:
Fast, accurate and sparse, automatic facade reconstruction from unstructured ground laser-scans. SIGGRAPH Posters 2016: 45:1-45:2 - [c13]Kwamina Edum-Fotwe, Paul Shepherd, Matthew Brown, Dan Harper, Richard Dinnis:
Quick, unconstrained, approximate l-shape method. SIGGRAPH Posters 2016: 85:1-85:2 - [c12]Milto Miltiadou, Neill D. F. Campbell, Matthew Brown, Darren Cosker, Michael G. Grant:
Improving and Optimising Visualisations of Full-waveform LiDAR Data. CGVC 2016: 45-47 - [i3]Yani Ioannou, Duncan P. Robertson, Darko Zikic, Peter Kontschieder, Jamie Shotton, Matthew Brown, Antonio Criminisi:
Decision Forests, Convolutional Networks and the Models in-Between. CoRR abs/1603.01250 (2016) - [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, Matthew Brown, Paul Hogbin, Darren Cosker:
Inferring changes in intrinsic parameters from motion blur. Comput. Graph. 52: 155-170 (2015) - [c11]Damien Teney, Matthew Brown, Dimitry Kit, Peter Hall:
Learning similarity metrics for dynamic scene segmentation. CVPR 2015: 2084-2093 - [c10]Matthew Brown:
Content-Aware Projection for Tiny Planets. Eurographics (Short Papers) 2015: 33-36 - 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, Sukumar Natarajan, Matthew Brown, Julian A. Padget:
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, Darren Cosker, Matthew Brown, Rui Tang:
Optical Flow Estimation Using Laplacian Mesh Energy. CVPR 2013: 2435-2442 - [c5]Han Gong, Darren Cosker, Chuan Li, Matthew Brown:
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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-12-09 01:39 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
