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Nathan Inkawhich

A Global Model Approach to Robust Few-Shot SAR Automatic Target Recognition

Mar 20, 2023
Nathan Inkawhich

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Self-Trained Proposal Networks for the Open World

Aug 23, 2022
Matthew Inkawhich, Nathan Inkawhich, Hai Li, Yiran Chen

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* 20 pages, 6 figures, 9 tables

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NTIRE 2021 Multi-modal Aerial View Object Classification Challenge

Jul 02, 2021
Jerrick Liu, Nathan Inkawhich, Oliver Nina, Radu Timofte, Sahil Jain, Bob Lee, Yuru Duan, Wei Wei, Lei Zhang, Songzheng Xu, Yuxuan Sun, Jiaqi Tang, Xueli Geng, Mengru Ma, Gongzhe Li, Xueli Geng, Huanqia Cai, Chengxue Cai, Sol Cummings, Casian Miron, Alexandru Pasarica, Cheng-Yen Yang, Hung-Min Hsu, Jiarui Cai, Jie Mei, Chia-Ying Yeh, Jenq-Neng Hwang, Michael Xin, Zhongkai Shangguan, Zihe Zheng, Xu Yifei, Lehan Yang, Kele Xu, Min Feng

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* Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2021, 588-595
* 10 pages, 1 figure. Conference on Computer Vision and Pattern Recognition

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The Untapped Potential of Off-the-Shelf Convolutional Neural Networks

Mar 17, 2021
Matthew Inkawhich, Nathan Inkawhich, Eric Davis, Hai Li, Yiran Chen

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* 12 pages, 8 figures

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DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles

Oct 18, 2020
Huanrui Yang, Jingyang Zhang, Hongliang Dong, Nathan Inkawhich, Andrew Gardner, Andrew Touchet, Wesley Wilkes, Heath Berry, Hai Li

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* To be appeared in NeurIPS 2020 conference (Oral)

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