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Voting-based Approaches For Differentially Private Federated Learning

Oct 09, 2020
Yuqing Zhu, Xiang Yu, Yi-Hsuan Tsai, Francesco Pittaluga, Masoud Faraki, Manmohan chandraker, Yu-Xiang Wang


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SMART: Simultaneous Multi-Agent Recurrent Trajectory Prediction

Jul 26, 2020
Sriram N N, Buyu Liu, Francesco Pittaluga, Manmohan Chandraker

* Accepted at ECCV 2020 

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A MEMS-based Foveating LIDAR to enable Real-time Adaptive Depth Sensing

Mar 21, 2020
Francesco Pittaluga, Zaid Tasneem, Justin Folden, Brevin Tilmon, Ayan Chakrabarti, Sanjeev J. Koppal

* 17 pages, 6 figures, project site: https://www.fpittaluga.com/adaptivelidar 

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Privacy-Preserving Action Recognition using Coded Aperture Videos

Apr 16, 2019
Zihao W. Wang, Vibhav Vineet, Francesco Pittaluga, Sudipta Sinha, Oliver Cossairt, Sing Bing Kang

* CVCOPS2019 

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Revealing Scenes by Inverting Structure from Motion Reconstructions

Apr 05, 2019
Francesco Pittaluga, Sanjeev J. Koppal, Sing Bing Kang, Sudipta N. Sinha

* 10 pages, 8 figures, to be published in IEEE Conference on Computer Vision and Pattern Recognition 2019 

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Learning Privacy Preserving Encodings through Adversarial Training

Jun 13, 2018
Francesco Pittaluga, Sanjeev J. Koppal, Ayan Chakrabarti


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