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个人简介
My team at Facebook Reality Labs is building the future of Augmented Reality and Contextualized AI services and devices at Facebook, and we're growing! Our machine perception team has open roles for Engineers and Research Scientists across a full range of disciplines from AR system HW prototyping, to full stack development in real-time SLAM systems and world scale Localization and Mapping; Calibration, Benchmarking; and Environment and Human Understanding.
Our world class Surreal Vision team operates from research through to incubation and productization of machine perception systems. We're building complete AR device prototypes and scaling new architectures for device, edge and cloud spatial and contextualized AI services, built for a new generation of AR glasses developed at Facebook.
Our world class Surreal Vision team operates from research through to incubation and productization of machine perception systems. We're building complete AR device prototypes and scaling new architectures for device, edge and cloud spatial and contextualized AI services, built for a new generation of AR glasses developed at Facebook.
研究兴趣
论文共 76 篇作者统计合作学者相似作者
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Zhaoyang Lv, Nicholas Charron, Pierre Moulon, Alexander Gamino, Cheng Peng, Chris Sweeney, Edward Miller, Huixuan Tang, Jeff Meissner, Jing Dong, Kiran Somasundaram, Luis Pesqueira,
CoRR (2024)
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Armen Avetisyan, Christopher Xie, Henry Howard-Jenkins,Tsun-Yi Yang,Samir Aroudj, Suvam Patra, Fuyang Zhang, Duncan Frost, Luke Holland, Campbell Orme,Jakob Engel, Edward Miller,
CoRR (2024)
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Xiaqing Pan, Nicholas Charron, Yongqian Yang, Scott Peters,Thomas Whelan, Chen Kong,Omkar Parkhi,Richard Newcombe, Carl, Ren
Nikhil Raina, Guruprasad Somasundaram, Kang Zheng, Steve Saarinen, Jeff Messiner, Mark Schwesinger,Luis Pesqueira, Ishita Prasad, Edward Miller, Prince Gupta,Mingfei Yan,Richard Newcombe,
CoRR (2023)
Kristen Grauman, Andrew Westbury,Lorenzo Torresani,Kris Kitani,Jitendra Malik,Triantafyllos Afouras,Kumar Ashutosh, Vijay Baiyya,Siddhant Bansal, Bikram Boote, Eugene Byrne, Zach Chavis,
arxiv(2023)
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2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)pp.5511-5521, (2022)
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