Scholar
Matthew Brown
Google Scholar ID: WZfM0qsAAAAJ
Principal Scientist, Wayve
Citations & Impact
Citations
10,548
H-index
29
i10-index
44
Publications
20
Co-authors
56
list available
Publications
Resume (English only)
Academic Achievements
- Won the ICCV Helmholtz Prize (test of time award) in 2017 for work with David Lowe on panoramic image stitching.
- Rig3r: Rig-Aware Conditioning for Learned 3D Reconstruction, Neurips, 2025
- OmniNOCS: A unified NOCS dataset and model for 3D lifting of 2D objects, ECCV, 2024
- Module-wise Adaptive Distillation for Multimodal Foundation Models, Neurips, 2023
- FiG-NeRF: Figure Ground Neural Radiance Fields for 3D Object Category Modelling, 3DV, 2021
- Mobile Video Networks for Efficient Video Recognition, CVPR, 2021
- Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition from a Domain Adaptation Perspective, CVPR, 2020
- Federated Visual Classification with Real-World Data Distribution, ECCV, 2020
- Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification, Neurips FL Workshop, 2019
- Low Shot Learning with Imprinted Weights, CVPR, 2018
- Frame-recurrent video super-resolution, CVPR, 2018
- Learning to Segment via Cut-and-Paste, ECCV, 2018
- Unsupervised Learning of Depth and Ego-Motion from Video, CVPR, 2017
Research Experience
- Principal Scientist at Wayve
- Research Scientist at Google DeepMind/Google Research
- Associate Professor (Reader) at the University of Bath (2011-2015)
- Founder and CTO of Cloudburst Research Inc. (2009-2015)
- Postdoctoral Researcher at EPFL (2009-2011)
- Postdoctoral Researcher at UBC (2008-2009)
- Postdoctoral Researcher at Microsoft Research (2006-2007)
Background
- Research interests include Computer Vision, Machine Learning, and Environmental Informatics.
