Invariant Features from Interest Point Groups. - Matthew Brown 001; David G. Lowe (BMVC, 2002)

Recognising Panoramas. - Matthew Brown 001; David G. Lowe (ICCV, 2003)

Unsupervised 3D Object Recognition and Reconstruction in Unordered Datasets. - Matthew Brown 001; David G. Lowe (3DIM, 2005)

Automatic Panoramic Image Stitching using Invariant Features. - Matthew Brown 001; David G. Lowe (Int. J. Comput. Vis., 2007)

An Anchor Patch Based Optimization Framework for Reducing Optical Flow Drift in Long Image Sequences. - Wenbin Li 002; Darren Cosker; Matthew Brown 001 (ACCV (3), 2012)

Optical Flow Estimation Using Laplacian Mesh Energy. - Wenbin Li 002; Darren Cosker; Matthew Brown 001; Rui Tang (CVPR, 2013)

User-aided single image shadow removal. - Han Gong; Darren Cosker; Chuan Li 001; Matthew Brown 001 (ICME, 2013)

Segmentation of Dynamic Scenes with Distributions of Spatiotemporally Oriented Energies. - Damien Teney; Matthew Brown 001 (BMVC, 2014)

Estimating camera intrinsics from motion blur. - Alastair Barber; Matthew Brown 001; Paul Hogbin; Darren Cosker (CVMP, 2014)

Designing sensor sets for capturing energy events in buildings. - Tom Lovett; Elizabeth Gabe-Thomas; Sukumar Natarajan; Matthew Brown 001; Julian A. Padget (e-Energy, 2014)

Appearance Stylization of Manhattan World Buildings. - Chuan Li 001; Philip J. Willis; Matthew Brown 001 (Comput. Graph. Forum, 2014)

Image Stitching. - Matthew Brown 001 (Computer Vision, A Reference Guide, 2014)

Learning similarity metrics for dynamic scene segmentation. - Damien Teney; Matthew Brown 001; Dimitry Kit; Peter Hall 001 (CVPR, 2015)

Content-Aware Projection for Tiny Planets. - Matthew Brown 001 (Eurographics (Short Papers), 2015)

Inferring changes in intrinsic parameters from motion blur. - Alastair Barber; Matthew Brown 001; Paul Hogbin; Darren Cosker (Comput. Graph., 2015)

Fast, accurate and sparse, automatic facade reconstruction from unstructured ground laser-scans. - Kwamina Edum-Fotwe; Paul Shepherd; Matthew Brown 001; Dan Harper; Richard Dinnis (SIGGRAPH Posters, 2016)

Quick, unconstrained, approximate l-shape method. - Kwamina Edum-Fotwe; Paul Shepherd; Matthew Brown 001; Dan Harper; Richard Dinnis (SIGGRAPH Posters, 2016)

Improving and Optimising Visualisations of Full-waveform LiDAR Data. - Milto Miltiadou; Neill D. F. Campbell; Matthew Brown 001; Darren Cosker; Michael G. Grant (CGVC, 2016)

Dense Nonrigid Ground Truth for Optical Flow in Real-World Scenes. - Wenbin Li 002; Darren Cosker; Zhihan Lv; Matthew Brown 001 (CoRR, 2016)

Decision Forests, Convolutional Networks and the Models in-Between. - Yani Ioannou; Duncan P. Robertson; Darko Zikic; Peter Kontschieder; Jamie Shotton; Matthew Brown 001; Antonio Criminisi (CoRR, 2016)

Drift robust non-rigid optical flow enhancement for long sequences. - Wenbin Li 002; Darren Cosker; Matthew Brown 001 (J. Intell. Fuzzy Syst., 2016)

Enhancing Video Summarization via Vision-Language Embedding. - Bryan A. Plummer; Matthew Brown 001; Svetlana Lazebnik (CVPR, 2017)

Unsupervised Learning of Depth and Ego-Motion from Video. - Tinghui Zhou; Matthew Brown 001; Noah Snavely; David G. Lowe (CVPR, 2017)

Pose2Instance: Harnessing Keypoints for Person Instance Segmentation. - Subarna Tripathi; Maxwell Collins; Matthew Brown 001; Serge J. Belongie (CoRR, 2017)

Learning with Imprinted Weights. - Hang Qi; Matthew Brown 001; David G. Lowe (CoRR, 2017)

Nonrigid Optical Flow Ground Truth for Real-World Scenes With Time-Varying Shading Effects. - Wenbin Li 002; Darren Cosker; Zhihan Lv; Matthew Brown 001 (IEEE Robotics Autom. Lett., 2017)

Low-Shot Learning With Imprinted Weights. - Hang Qi; Matthew Brown 001; David G. Lowe (CVPR, 2018)

Frame-Recurrent Video Super-Resolution. - Mehdi S. M. Sajjadi; Raviteja Vemulapalli; Matthew Brown 001 (CVPR, 2018)

Learning to Segment via Cut-and-Paste. - Tal Remez; Jonathan Huang; Matthew Brown 001 (ECCV (7), 2018)

Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification. - Tzu-Ming Harry Hsu; Hang Qi; Matthew Brown 001 (CoRR, 2019)

Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition From a Domain Adaptation Perspective. - Muhammad Abdullah Jamal; Matthew Brown 001; Ming-Hsuan Yang 001; Liqiang Wang 001; Boqing Gong (CVPR, 2020)

Federated Visual Classification with Real-World Data Distribution. - Tzu-Ming Harry Hsu; Hang Qi; Matthew Brown 001 (ECCV (10), 2020)

GeLaTO: Generative Latent Textured Objects. - Ricardo Martin-Brualla; Rohit Pandey; Sofien Bouaziz; Matthew Brown 001; Dan B. Goldman (ECCV (6), 2020)

When Ensembling Smaller Models is More Efficient than Single Large Models. - Dan Kondratyuk; Mingxing Tan; Matthew Brown 001; Boqing Gong (CoRR, 2020)

FiG-NeRF: Figure-Ground Neural Radiance Fields for 3D Object Category Modelling. - Christopher Xie; Keunhong Park; Ricardo Martin-Brualla; Matthew Brown 001 (3DV, 2021)

MoViNets: Mobile Video Networks for Efficient Video Recognition. - Dan Kondratyuk; Liangzhe Yuan; Yandong Li; Li Zhang 003; Mingxing Tan; Matthew Brown 001; Boqing Gong (CVPR, 2021)

Exploring Temporal Granularity in Self-Supervised Video Representation Learning. - Rui Qian; Yeqing Li; Liangzhe Yuan; Boqing Gong; Ting Liu 005; Matthew Brown 001; Serge J. Belongie; Ming-Hsuan Yang 001; Hartwig Adam; Yin Cui (CoRR, 2021)

Towards a Unified Foundation Model: Jointly Pre-Training Transformers on Unpaired Images and Text. - Qing Li 001; Boqing Gong; Yin Cui; Dan Kondratyuk; Xianzhi Du; Ming-Hsuan Yang 001; Matthew Brown 001 (CoRR, 2021)

On Temporal Granularity in Self-Supervised Video Representation Learning. - Rui Qian; Yeqing Li; Liangzhe Yuan; Boqing Gong; Ting Liu 005; Matthew Brown 001; Serge J. Belongie; Ming-Hsuan Yang 001; Hartwig Adam; Yin Cui (BMVC, 2022)

2.5D visual relationship detection. - Yu-Chuan Su; Soravit Changpinyo; Xiangning Chen; Sathish Thoppay; Cho-Jui Hsieh; Lior Shapira; Radu Soricut; Hartwig Adam; Matthew Brown 001; Ming-Hsuan Yang 001; Boqing Gong (Comput. Vis. Image Underst., 2022)

Module-wise Adaptive Distillation for Multimodality Foundation Models. - Chen Liang 006; Jiahui Yu; Ming-Hsuan Yang 001; Matthew Brown 001; Yin Cui; Tuo Zhao; Boqing Gong; Tianyi Zhou 002 (NeurIPS, 2023)

OmniNOCS: A Unified NOCS Dataset and Model for 3D Lifting of 2D Objects. - Akshay Krishnan; Abhijit Kundu; Kevis-Kokitsi Maninis; James Hays; Matthew Brown 001 (ECCV (75), 2024)

SQL has problems. We can fix them: Pipe syntax in SQL. - Jeff Shute; Shannon Bales; Matthew Brown 001; Jean-Daniel Browne; Brandon Dolphin; Romit Kudtarkar; Andrey Litvinov; Jingchi Ma; John D. Morcos; Michael Shen; David Wilhite; Xi Wu; et al. (Proc. VLDB Endow., 2024)