most citedThe 1st Agriculture-Vision Challenge: Methods and Results

6 citations · 15 across the 4 of their papers we have counts for

collaborators

5 papers

eess.SP20202 cited

Generating private data with user customization

Xiao Chen, Thomas Navidi, Ram Rajagopal

Personal devices such as mobile phones can produce and store large amounts of data that can enhance machine learning models; however, this data may contain private information spec…

cs.CV20203 cited

Effective Data Fusion with Generalized Vegetation Index: Evidence from Land Cover Segmentation in Agriculture

Hao Sheng, Xiao Chen, Jingyi Su +2

How can we effectively leverage the domain knowledge from remote sensing to better segment agriculture land cover from satellite images? In this paper, we propose a novel, model-ag…

cs.CV20206 cited

The 1st Agriculture-Vision Challenge: Methods and Results

Mang Tik Chiu, Xingqian Xu, Kai Wang +39

The first Agriculture-Vision Challenge aims to encourage research in developing novel and effective algorithms for agricultural pattern recognition from aerial images, especially f…

eess.SY2019

Energy Resource Control via Privacy Preserving Data

Xiao Chen, Thomas Navidi, Ram Rajagopal

Although the frequent monitoring of smart meters enables granular control over energy resources, it also increases the risk of leakage of private information such as income, home o…

cs.LG20194 cited

Distributed generation of privacy preserving data with user customization

Xiao Chen, Thomas Navidi, Stefano Ermon +1

Distributed devices such as mobile phones can produce and store large amounts of data that can enhance machine learning models; however, this data may contain private information s…