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2.5D Visual Relationship Detection


Apr 26, 2021
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


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MoViNets: Mobile Video Networks for Efficient Video Recognition


Apr 18, 2021
Dan Kondratyuk, Liangzhe Yuan, Yandong Li, Li Zhang, Mingxing Tan, Matthew Brown, Boqing Gong

* Accepted to CVPR 2021 

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FiG-NeRF: Figure-Ground Neural Radiance Fields for 3D Object Category Modelling


Apr 17, 2021
Christopher Xie, Keunhong Park, Ricardo Martin-Brualla, Matthew Brown


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GeLaTO: Generative Latent Textured Objects


Aug 11, 2020
Ricardo Martin-Brualla, Rohit Pandey, Sofien Bouaziz, Matthew Brown, Dan B Goldman

* European Conference on Computer Vision 2020 
* ECCV 2020 Spotlight. Project website: https://gelato-paper.github.io 

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When Ensembling Smaller Models is More Efficient than Single Large Models


May 01, 2020
Dan Kondratyuk, Mingxing Tan, Matthew Brown, Boqing Gong


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Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition from a Domain Adaptation Perspective


Mar 24, 2020
Muhammad Abdullah Jamal, Matthew Brown, Ming-Hsuan Yang, Liqiang Wang, Boqing Gong

* Accepted for publication at CVPR2020 

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Federated Visual Classification with Real-World Data Distribution


Mar 18, 2020
Tzu-Ming Harry Hsu, Hang Qi, Matthew Brown


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AirSim Drone Racing Lab


Mar 12, 2020
Ratnesh Madaan, Nicholas Gyde, Sai Vemprala, Matthew Brown, Keiko Nagami, Tim Taubner, Eric Cristofalo, Davide Scaramuzza, Mac Schwager, Ashish Kapoor

* 14 pages, 6 figures 

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Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification


Sep 13, 2019
Tzu-Ming Harry Hsu, Hang Qi, Matthew Brown


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Contingency Model Predictive Control for Automated Vehicles


Mar 21, 2019
John P. Alsterda, Matthew Brown, J. Christian Gerdes

* American Control Conference, July 2019; 6 pages 

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Extreme Augmentation : Can deep learning based medical image segmentation be trained using a single manually delineated scan?


Oct 03, 2018
Bilwaj Gaonkar, Alex Bui, Matthew Brown, Luke Macyszyn


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Low-Shot Learning with Imprinted Weights


Apr 06, 2018
Hang Qi, Matthew Brown, David G. Lowe

* CVPR 2018 

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Frame-Recurrent Video Super-Resolution


Mar 25, 2018
Mehdi S. M. Sajjadi, Raviteja Vemulapalli, Matthew Brown

* Accepted at CVPR 2018 

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Learning to Segment via Cut-and-Paste


Mar 16, 2018
Tal Remez, Jonathan Huang, Matthew Brown


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Deep Reinforcement Learning for Dexterous Manipulation with Concept Networks


Sep 20, 2017
Aditya Gudimella, Ross Story, Matineh Shaker, Ruofan Kong, Matthew Brown, Victor Shnayder, Marcos Campos


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Unsupervised Learning of Depth and Ego-Motion from Video


Aug 01, 2017
Tinghui Zhou, Matthew Brown, Noah Snavely, David G. Lowe

* Accepted to CVPR 2017. Project webpage: https://people.eecs.berkeley.edu/~tinghuiz/projects/SfMLearner/ 

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Pose2Instance: Harnessing Keypoints for Person Instance Segmentation


Apr 04, 2017
Subarna Tripathi, Maxwell Collins, Matthew Brown, Serge Belongie


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Nonrigid Optical Flow Ground Truth for Real-World Scenes with Time-Varying Shading Effects


Jul 15, 2016
Wenbin Li, Darren Cosker, Zhihan Lv, Matthew Brown

* preprint of our paper accepted by RA-L'16 

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Drift Robust Non-rigid Optical Flow Enhancement for Long Sequences


Mar 07, 2016
Wenbin Li, Darren Cosker, Matthew Brown

* Preprint version of our paper accepted by Journal of Intelligent and Fuzzy Systems 

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Decision Forests, Convolutional Networks and the Models in-Between


Mar 03, 2016
Yani Ioannou, Duncan Robertson, Darko Zikic, Peter Kontschieder, Jamie Shotton, Matthew Brown, Antonio Criminisi

* Microsoft Research Technical Report 

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