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Matthew Brown
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Towards a Unified Foundation Model: Jointly Pre-Training Transformers on Unpaired Images and Text


Dec 14, 2021
Qing Li, Boqing Gong, Yin Cui, Dan Kondratyuk, Xianzhi Du, Ming-Hsuan Yang, Matthew Brown

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* preliminary work 
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Exploring Temporal Granularity in Self-Supervised Video Representation Learning


Dec 08, 2021
Rui Qian, Yeqing Li, Liangzhe Yuan, Boqing Gong, Ting Liu, Matthew Brown, Serge Belongie, Ming-Hsuan Yang, Hartwig Adam, Yin Cui

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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

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* 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

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* 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

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* 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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