Brown, Matthew

14 publications

NeurIPS 2025 Rig3R: Rig-Aware Conditioning and Discovery for 3D Reconstruction Samuel Li, Pujith Kachana, Prajwal Chidananda, Saurabh Nair, Yasutaka Furukawa, Matthew Brown

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

NeurIPS 2023 Module-Wise Adaptive Distillation for Multimodality Foundation Models Chen Liang, Jiahui Yu, Ming-Hsuan Yang, Matthew Brown, Yin Cui, Tuo Zhao, Boqing Gong, Tianyi Zhou

CVPR 2021 MoViNets: Mobile Video Networks for Efficient Video Recognition Dan Kondratyuk, Liangzhe Yuan, Yandong Li, Li Zhang, Mingxing Tan, Matthew Brown, Boqing Gong

ECCV 2020 Federated Visual Classification with Real-World Data Distribution Tzu-Ming Harry Hsu, Hang Qi, Matthew Brown

ECCV 2020 GeLaTO: Generative Latent Textured Objects Ricardo Martin-Brualla, Rohit Pandey, Sofien Bouaziz, Matthew Brown, Dan B Goldman

ECCV 2018 Learning to Segment via Cut-and-Paste Tal Remez, Jonathan Huang, Matthew Brown

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

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

AAAI 2016 One Size Does Not Fit All: A Game-Theoretic Approach for Dynamically and Effectively Screening for Threats Matthew Brown, Arunesh Sinha, Aaron Schlenker, Milind Tambe

CVPR 2015 Learning Similarity Metrics for Dynamic Scene Segmentation Damien Teney, Matthew Brown, Dmitry Kit, Peter Hall

AAAI 2014 STREETS: Game-Theoretic Traffic Patrolling with Exploration and Exploitation Matthew Brown, Sandhya Saisubramanian, Pradeep Varakantham, Milind Tambe

CVPR 2013 Optical Flow Estimation Using Laplacian Mesh Energy Wenbin Li, Darren Cosker, Matthew Brown, Rui Tang

ICCV 2003 Recognising Panoramas Matthew Brown, David G. Lowe