Nathan Inkawhich

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 36

Top Topics

Automatic Target Recognition

Object Classification

Top Venues

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.

Publications

Amol Khanna, Edward Raff, Nathan Inkawhich
SoK: A Review of Differentially Private Linear Models For High-Dimensional Data. SaTML (2024)
Matthew Inkawhich, Nathan Inkawhich, Hai Li, Yiran Chen
Tunable Hybrid Proposal Networks for the Open World. WACV (2024)
Matthew Inkawhich, Nathan Inkawhich, Hao Yang, Jingyang Zhang, Randolph Linderman, Yiran Chen
OSR-ViT: A Simple and Modular Framework for Open-Set Object Detection and Discovery. CoRR (2024)
Anish Lakkapragada, Amol Khanna, Edward Raff, Nathan Inkawhich
Comprehensive OOD Detection Improvements. CoRR (2024)
Amol Khanna, Edward Raff, Nathan Inkawhich
SoK: A Review of Differentially Private Linear Models For High-Dimensional Data. CoRR (2024)
Chenhui Xu, Fuxun Yu, Zirui Xu, Nathan Inkawhich, Xiang Chen
Out-of-Distribution Detection via Deep Multi-Comprehension Ensemble. CoRR (2024)
Jingyang Zhang, Nathan Inkawhich, Randolph Linderman, Yiran Chen, Hai Li
Mixture Outlier Exposure: Towards Out-of-Distribution Detection in Fine-grained Environments. WACV (2023)
Spencer Low, Oliver Nina, Angel Domingo Sappa, Erik Blasch, Nathan Inkawhich
Multi-modal Aerial View Image Challenge: Translation from Synthetic Aperture Radar to Electro-Optical Domain Results - PBVS 2023. CVPR Workshops (2023)
Noah Fleischmann, Walter D. Bennette, Nathan Inkawhich
Establishing baselines and introducing TernaryMixOE for fine-grained out-of-distribution detection. CoRR (2023)
Spencer Low, Oliver Nina, Angel Domingo Sappa, Erik Blasch, Nathan Inkawhich
Multi-modal Aerial View Object Classification Challenge Results - PBVS 2023. CVPR Workshops (2023)
Nathan Inkawhich
A Global Model Approach to Robust Few-Shot SAR Automatic Target Recognition. IEEE Geosci. Remote. Sens. Lett. 20 (2023)
Nathan Inkawhich, Gwendolyn McDonald, Ryan Luley
Adversarial Attacks on Foundational Vision Models. CoRR (2023)
Randolph Linderman, Jingyang Zhang, Nathan Inkawhich, Hai Helen Li, Yiran Chen
Fine-grain Inference on Out-of-Distribution Data with Hierarchical Classification. CoLLAs (2023)
Nathan Inkawhich
A Global Model Approach to Robust Few-Shot SAR Automatic Target Recognition. CoRR (2023)
Jingyang Zhang, Nathan Inkawhich, Randolph Linderman, Ryan Luley, Yiran Chen, Hai Helen Li
SIO: Synthetic In-Distribution Data Benefits Out-of-Distribution Detection. CoRR (2023)
Nathan Inkawhich, Jingyang Zhang, Eric K. Davis, Ryan Luley, Yiran Chen
Improving Out-of-Distribution Detection by Learning From the Deployment Environment. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15 (2022)
Matthew Inkawhich, Nathan Inkawhich, Eric K. Davis, Hai Li, Yiran Chen
The Untapped Potential of Off-the-Shelf Convolutional Neural Networks. WACV (2022)
Spencer Low, Oliver Nina, Ángel D. Sappa, Erik Blasch, Nathan Inkawhich
Multi-modal Aerial View Object Classification Challenge Results - PBVS 2022. CVPR Workshops (2022)
Matthew Inkawhich, Nathan Inkawhich, Hai Helen Li, Yiran Chen
Self-Trained Proposal Networks for the Open World. CoRR (2022)
Randolph Linderman, Jingyang Zhang, Nathan Inkawhich, Hai Helen Li, Yiran Chen
Fine-grain Inference on Out-of-Distribution Data with Hierarchical Classification. CoRR (2022)
Jerrick Liu, Nathan Inkawhich, Oliver Nina, Radu Timofte
NTIRE 2021 Multi-Modal Aerial View Object Classification Challenge. CVPR Workshops (2021)
Matthew Inkawhich, Nathan Inkawhich, Eric K. Davis, Hai Li, Yiran Chen
The Untapped Potential of Off-the-Shelf Convolutional Neural Networks. CoRR (2021)
Nathan Inkawhich, Eric K. Davis, Matthew Inkawhich, Uttam K. Majumder, Yiran Chen
Training SAR-ATR Models for Reliable Operation in Open-World Environments. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14 (2021)
Nathan Inkawhich, Kevin J. Liang, Jingyang Zhang, Huanrui Yang, Hai Li, Yiran Chen
Can Targeted Adversarial Examples Transfer When the Source and Target Models Have No Label Space Overlap? ICCVW (2021)
Jingyang Zhang, Nathan Inkawhich, Yiran Chen, Hai Li
Fine-grained Out-of-Distribution Detection with Mixup Outlier Exposure. CoRR (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, 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
NTIRE 2021 Multi-modal Aerial View Object Classification Challenge. CoRR (2021)
Nathan Inkawhich, Matthew Inkawhich, Eric K. Davis, Uttam K. Majumder, Erin Tripp, Chris Capraro, Yiran Chen
Bridging a Gap in SAR-ATR: Training on Fully Synthetic and Testing on Measured Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14 (2021)
Nathan Inkawhich, Kevin J. Liang, Jingyang Zhang, Huanrui Yang, Hai Li, Yiran Chen
Can Targeted Adversarial Examples Transfer When the Source and Target Models Have No Label Space Overlap? CoRR (2021)
Nathan Inkawhich, Kevin J. Liang, Binghui Wang, Matthew Inkawhich, Lawrence Carin, Yiran Chen
Perturbing Across the Feature Hierarchy to Improve Standard and Strict Blackbox Attack Transferability. NeurIPS (2020)
Nathan Inkawhich, Kevin J. Liang, Lawrence Carin, Yiran Chen
Transferable Perturbations of Deep Feature Distributions. ICLR (2020)
Huanrui Yang, Jingyang Zhang, Hongliang Dong, Nathan Inkawhich, Andrew Gardner, Andrew Touchet, Wesley Wilkes, Heath Berry, Hai Li
DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles. NeurIPS (2020)
Nathan Inkawhich, Kevin J. Liang, Lawrence Carin, Yiran Chen
Transferable Perturbations of Deep Feature Distributions. CoRR (2020)
Huanrui Yang, Jingyang Zhang, Hongliang Dong, Nathan Inkawhich, Andrew Gardner, Andrew Touchet, Wesley Wilkes, Heath Berry, Hai Li
DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles. CoRR (2020)
Nathan Inkawhich, Kevin J. Liang, Binghui Wang, Matthew Inkawhich, Lawrence Carin, Yiran Chen
Perturbing Across the Feature Hierarchy to Improve Standard and Strict Blackbox Attack Transferability. CoRR (2020)
Nathan Inkawhich, Wei Wen, Hai (Helen) Li, Yiran Chen
Feature Space Perturbations Yield More Transferable Adversarial Examples. CVPR (2019)
Nathan Inkawhich, Matthew Inkawhich, Yiran Chen, Hai Li
Adversarial Attacks for Optical Flow-Based Action Recognition Classifiers. CoRR (2018)