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Matthew Brown
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Other persons with the same name
- Matthew Brown 0001 — Google, Mountain View, CA, USA (and 2 more)
- 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
- 2024
- [j7]Jeff Shute, Shannon Bales, Matthew Brown, Jean-Daniel Browne, Brandon Dolphin, Romit Kudtarkar, Andrey Litvinov, Jingchi Ma, John D. Morcos, Michael Shen, David Wilhite, Xi Wu, Lulan Yu:
SQL has problems. We can fix them: Pipe syntax in SQL. Proc. VLDB Endow. 17(12): 4051-4063 (2024) - [c21]Akshay Krishnan, Abhijit Kundu
OmniNOCS: A Unified NOCS Dataset and Model for 3D Lifting of 2D Objects. ECCV (75) 2024: 127-145 - [i17]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
- [c20]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 - [i16]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
2.5D visual relationship detection. Comput. Vis. Image Underst. 224: 103557 (2022) - [j5]Fahad Ali Milaat, Paul Witherell, Martin Hardwick, Ho Yeung, Vincenzo J. Ferrero, Laetitia V. Monnier, Matthew Brown:
STEP-NC Process Planning for Powder Bed Fusion Additive Manufacturing. J. Comput. Inf. Sci. Eng. 22(1) (2022) - [c19]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
- [c18]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 - [c17]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 - [i15]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) - [i14]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) - [i13]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) - [i12]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) - [i11]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
- [j4]Ernest Turro
Whole-genome sequencing of patients with rare diseases in a national health system. Nat. 583(7814): 96-102 (2020) - [c16]Matthew Brown, Carlos E. Saavedra:
Frequency-Tunable Quasi-Elliptic Filter Using Liquid Metal. APCCAS 2020: 110-113 - [c15]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 - [c14]Ricardo Martin-Brualla, Rohit Pandey, Sofien Bouaziz, Matthew Brown, Dan B. Goldman:
GeLaTO: Generative Latent Textured Objects. ECCV (6) 2020: 242-258 - [i10]Ratnesh Madaan, Nicholas Gyde, Sai Vemprala, Matthew Brown, Keiko Nagami, Tim Taubner, Eric Cristofalo, Davide Scaramuzza, Mac Schwager, Ashish Kapoor:
AirSim Drone Racing Lab. CoRR abs/2003.05654 (2020) - [i9]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) - [i8]Dan Kondratyuk, Mingxing Tan, Matthew Brown, Boqing Gong:
When Ensembling Smaller Models is More Efficient than Single Large Models. CoRR abs/2005.00570 (2020) - [i7]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
- [c13]Ratnesh Madaan, Nicholas Gyde, Sai Vemprala, Matthew Brown, Keiko Nagami, Tim Taubner, Eric Cristofalo, Davide Scaramuzza, Mac Schwager, Ashish Kapoor:
AirSim Drone Racing Lab. NeurIPS (Competition and Demos) 2019: 177-191 - 2018
- [c12]Mehdi S. M. Sajjadi, Raviteja Vemulapalli, Matthew Brown:
Frame-Recurrent Video Super-Resolution. CVPR 2018: 6626-6634 - [c11]Tal Remez, Jonathan Huang, Matthew Brown:
Learning to Segment via Cut-and-Paste. ECCV (7) 2018: 39-54 - [c10]Matthew Brown, Ian Goode, Carlos E. Saavedra
Lumped-Element Circuit Modelling of Microfluidic Channels in Microstrip Transmission Lines. NEWCAS 2018: 31-34 - [i6]Mehdi S. M. Sajjadi, Raviteja Vemulapalli, Matthew Brown:
Frame-Recurrent Video Super-Resolution. CoRR abs/1801.04590 (2018) - [i5]Tal Remez, Jonathan Huang, Matthew Brown:
Learning to Segment via Cut-and-Paste. CoRR abs/1803.06414 (2018) - [i4]Bilwaj Gaonkar, Alex A. T. Bui, Matthew Brown, Luke Macyszyn:
Extreme Augmentation : Can deep learning based medical image segmentation be trained using a single manually delineated scan? CoRR abs/1810.01621 (2018) - 2017
- [c9]Bryan A. Plummer, Matthew Brown, Svetlana Lazebnik:
Enhancing Video Summarization via Vision-Language Embedding. CVPR 2017: 1052-1060 - [i3]Subarna Tripathi, Maxwell Collins, Matthew Brown, Serge J. Belongie:
Pose2Instance: Harnessing Keypoints for Person Instance Segmentation. CoRR abs/1704.01152 (2017) - [i2]Aditya Gudimella, Ross Story, Matineh Shaker, Ruofan Kong, Matthew Brown, Victor Shnayder, Marcos Campos:
Deep Reinforcement Learning for Dexterous Manipulation with Concept Networks. CoRR abs/1709.06977 (2017) - 2016
- [c8]Kwamina Edum-Fotwe, Paul Shepherd
Fast, accurate and sparse, automatic facade reconstruction from unstructured ground laser-scans. SIGGRAPH Posters 2016: 45:1-45:2 - [c7]Kwamina Edum-Fotwe, Paul Shepherd
Quick, unconstrained, approximate l-shape method. SIGGRAPH Posters 2016: 85:1-85:2 - [i1]Yani Ioannou
Decision Forests, Convolutional Networks and the Models in-Between. CoRR abs/1603.01250 (2016) - 2015
- [c6]Matthew Brown:
Content-Aware Projection for Tiny Planets. Eurographics (Short Papers) 2015: 33-36 - 2014
- [c5]Matthew Brown, Mitch Mirkin, Dan Rabideau:
Phased array antenna calibration using airborne radar clutter and MIMO. ACSSC 2014: 1150-1156 - 2013
- [c4]Evan Chang-Siu, Thomas Libby, Matthew Brown, Robert J. Full, Masayoshi Tomizuka:
A nonlinear feedback controller for aerial self-righting by a tailed robot. ICRA 2013: 32-39 - 2010
- [c3]Simon Buckingham Shum
Software Agents in Support of Human Argument Mapping. COMMA 2010: 123-134 - [c2]Heather Toomey Zimmerman, David E. Kanter, Kirsten Ellenbogen, Leilah Lyons, Steven J. Zuiker, Tom Satwicz, Sandra Toro Martell, Matthew Brown, Sherry Hsi, Brian K. Smith, Molly Phipps, Robert Jordan, Jennifer L. Weible, Chris Gamrat, Ben Loh, Joyce Ma:
Technologies and tools to support informal science learning. ICLS 2010: 260-266
2000 – 2009
- 2007
- [j3]Matthew Brown, Seth Gilbert
The virtual node layer: a programming abstraction for wireless sensor networks. SIGBED Rev. 4(3): 7-12 (2007) - 2006
- [j2]Matthew Brown, Margot Gerritsen:
An Energy-Stable High-Order Central Difference Scheme for the Two-Dimensional Shallow Water Equations. J. Sci. Comput. 28(1): 1-30 (2006) - 2002
- [j1]William Thies, Michal Karczmarek, Michael I. Gordon, David Maze, Jeremy Wong, Henry Hoffmann, Matthew Brown, Saman P. Amarasinghe:
A common machine language for grid-based architectures. SIGARCH Comput. Archit. News 30(3): 13-14 (2002)
1990 – 1999
- 1999
- [c1]Matthew Brown, Daniel C. Edelson:
A lab by any other name: integrating traditional labs and computer-supported collaborative investigations in science classrooms. CSCL 1999: 8
Coauthor Index
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