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Efficient Classification of Very Large Images with Tiny Objects


Jun 04, 2021
Fanjie Kong, Ricardo Henao


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Quantum Tensor Network in Machine Learning: An Application to Tiny Object Classification


Jan 08, 2021
Fanjie Kong, Xiao-yang Liu, Ricardo Henao

* https://tensorworkshop.github.io/NeurIPS2020/CFP.html 
* 8 pages, 7 figures 

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Proactive Pseudo-Intervention: Causally Informed Contrastive Learning For Interpretable Vision Models


Dec 06, 2020
Dong Wang, Yuewei Yang, Chenyang Tao, Fanjie Kong, Ricardo Henao, Lawrence Carin


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Physics-enhanced machine learning for virtual fluorescence microscopy


Apr 21, 2020
Colin L. Cooke, Fanjie Kong, Amey Chaware, Kevin C. Zhou, Kanghyun Kim, Rong Xu, D. Michael Ando, Samuel J. Yang, Pavan Chandra Konda, Roarke Horstmeyer

* 12 pages, 13 figures 

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The Synthinel-1 dataset: a collection of high resolution synthetic overhead imagery for building segmentation


Jan 15, 2020
Fanjie Kong, Bohao Huang, Kyle Bradbury, Jordan M. Malof

* Preprint of paper accepted for publication at Winter Conference on Applications of Computer Vision (WACV) 2020 

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