Nathan Inkawhich

45 papers A* 5A 3B 1Journal 23Unranked 12

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	3rd Multi-modal Aerial View Image Challenge: Sensor Domain Translation - PBVS 2025. CVPR Workshops Dylan Bowald, Justice Wheelwright, Oliver Nina, Ángel D. Sappa, Riad I. Hammoud, Erik Blasch, Nathan Inkawhich
2025	—	`conf`	4th Multi-modal Aerial View Image Challenge: SAR Classification - PBVS 2025. CVPR Workshops Nathan Inkawhich, Claire Thorp, Justice Wheelwright, Oliver Nina, Dylan Bowald, Ángel D. Sappa, Erik Blasch
2025	—	`conf`	Multi-layer Radial Basis Function Networks for Out-of-distribution Detection. CVPR Workshops Amol Khanna, Chenyi Ling, Derek Everett, Edward Raff, Nathan Inkawhich
2025	J	`jnl`	Multi-layer Radial Basis Function Networks for Out-of-distribution Detection. CoRR Amol Khanna, Chenyi Ling, Derek Everett, Edward Raff, Nathan Inkawhich
2025	J	`jnl`	On the Status of Foundation Models for SAR Imagery. CoRR Nathan Inkawhich
2024	J	`jnl`	Comprehensive OOD Detection Improvements. CoRR Anish Lakkapragada, Amol Khanna, Edward Raff, Nathan Inkawhich
2024	—	`conf`	Multi-modal Aerial View Image Challenge: SAR Classification. CVPR Workshops Spencer Low, Oliver Nina, Dylan Bowald, Angel Domingo Sappa, Nathan Inkawhich, Peter Bruns
2024	—	`conf`	Multi-modal Aerial View Image Challenge: Sensor Domain Translation. CVPR Workshops Spencer Low, Oliver Nina, Dylan Bowald, Angel Domingo Sappa, Nathan Inkawhich, Peter Bruns
2024	B	`conf`	OSR-ViT: A Simple and Modular Framework for Open-Set Object Detection and Discovery. IEEE Big Data Matthew Inkawhich, Nathan Inkawhich, Hao Yang, Jingyang Zhang, Randolph Linderman, Yiran Chen
2024	J	`jnl`	OSR-ViT: A Simple and Modular Framework for Open-Set Object Detection and Discovery. CoRR Matthew Inkawhich, Nathan Inkawhich, Hao Yang, Jingyang Zhang, Randolph Linderman, Yiran Chen
2024	A*	`conf`	Out-of-Distribution Detection via Deep Multi-Comprehension Ensemble. ICML Chenhui Xu, Fuxun Yu, Zirui Xu, Nathan Inkawhich, Xiang Chen
2024	J	`jnl`	Out-of-Distribution Detection via Deep Multi-Comprehension Ensemble. CoRR Chenhui Xu, Fuxun Yu, Zirui Xu, Nathan Inkawhich, Xiang Chen
2024	—	`conf`	SoK: A Review of Differentially Private Linear Models For High-Dimensional Data. SaTML Amol Khanna, Edward Raff, Nathan Inkawhich
2024	J	`jnl`	SoK: A Review of Differentially Private Linear Models For High-Dimensional Data. CoRR Amol Khanna, Edward Raff, Nathan Inkawhich
2024	A	`conf`	Tunable Hybrid Proposal Networks for the Open World. WACV Matthew Inkawhich, Nathan Inkawhich, Hai Li, Yiran Chen
2023	J	`jnl`	A Global Model Approach to Robust Few-Shot SAR Automatic Target Recognition. CoRR Nathan Inkawhich
2023	J	`jnl`	A Global Model Approach to Robust Few-Shot SAR Automatic Target Recognition. IEEE Geosci. Remote. Sens. Lett. Nathan Inkawhich
2023	J	`jnl`	Adversarial Attacks on Foundational Vision Models. CoRR Nathan Inkawhich, Gwendolyn McDonald, Ryan Luley
2023	J	`jnl`	Establishing baselines and introducing TernaryMixOE for fine-grained out-of-distribution detection. CoRR Noah Fleischmann, Walter D. Bennette, Nathan Inkawhich
2023	—	`conf`	Fine-grain Inference on Out-of-Distribution Data with Hierarchical Classification. CoLLAs Randolph Linderman, Jingyang Zhang, Nathan Inkawhich, Hai Helen Li, Yiran Chen
2023	A	`conf`	Mixture Outlier Exposure: Towards Out-of-Distribution Detection in Fine-grained Environments. WACV Jingyang Zhang, Nathan Inkawhich, Randolph Linderman, Yiran Chen, Hai Li
2023	—	`conf`	Multi-modal Aerial View Image Challenge: Translation from Synthetic Aperture Radar to Electro-Optical Domain Results - PBVS 2023. CVPR Workshops Spencer Low, Oliver Nina, Angel Domingo Sappa, Erik Blasch, Nathan Inkawhich
2023	—	`conf`	Multi-modal Aerial View Object Classification Challenge Results - PBVS 2023. CVPR Workshops Spencer Low, Oliver Nina, Angel Domingo Sappa, Erik Blasch, Nathan Inkawhich
2023	J	`jnl`	SIO: Synthetic In-Distribution Data Benefits Out-of-Distribution Detection. CoRR Jingyang Zhang, Nathan Inkawhich, Randolph Linderman, Ryan Luley, Yiran Chen, Hai Helen Li
2022	J	`jnl`	Fine-grain Inference on Out-of-Distribution Data with Hierarchical Classification. CoRR Randolph Linderman, Jingyang Zhang, Nathan Inkawhich, Hai Helen Li, Yiran Chen
2022	J	`jnl`	Improving Out-of-Distribution Detection by Learning From the Deployment Environment. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Nathan Inkawhich, Jingyang Zhang, Eric K. Davis, Ryan Luley, Yiran Chen
2022	—	`conf`	Multi-modal Aerial View Object Classification Challenge Results - PBVS 2022. CVPR Workshops Spencer Low, Oliver Nina, Ángel D. Sappa, Erik Blasch, Nathan Inkawhich
2022	J	`jnl`	Self-Trained Proposal Networks for the Open World. CoRR Matthew Inkawhich, Nathan Inkawhich, Hai Helen Li, Yiran Chen
2022	A	`conf`	The Untapped Potential of Off-the-Shelf Convolutional Neural Networks. WACV Matthew Inkawhich, Nathan Inkawhich, Eric K. Davis, Hai Li, Yiran Chen
2021	—	`—`	Advancing the Design and Utility of Adversarial Machine Learning Methods. Nathan Inkawhich
2021	J	`jnl`	Bridging a Gap in SAR-ATR: Training on Fully Synthetic and Testing on Measured Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Nathan Inkawhich, Matthew Inkawhich, Eric K. Davis, Uttam K. Majumder, Erin E. Tripp, Chris Capraro, Yiran Chen
2021	—	`conf`	Can Targeted Adversarial Examples Transfer When the Source and Target Models Have No Label Space Overlap? ICCVW Nathan Inkawhich, Kevin J. Liang, Jingyang Zhang, Huanrui Yang, Hai Li, Yiran Chen
2021	J	`jnl`	Can Targeted Adversarial Examples Transfer When the Source and Target Models Have No Label Space Overlap? CoRR Nathan Inkawhich, Kevin J. Liang, Jingyang Zhang, Huanrui Yang, Hai Li, Yiran Chen
2021	J	`jnl`	Fine-grained Out-of-Distribution Detection with Mixup Outlier Exposure. CoRR Jingyang Zhang, Nathan Inkawhich, Yiran Chen, Hai Li
2021	—	`conf`	NTIRE 2021 Multi-Modal Aerial View Object Classification Challenge. CVPR Workshops Jerrick Liu, Nathan Inkawhich, Oliver Nina, Radu Timofte
2021	J	`jnl`	The Untapped Potential of Off-the-Shelf Convolutional Neural Networks. CoRR Matthew Inkawhich, Nathan Inkawhich, Eric K. Davis, Hai Li, Yiran Chen
2021	J	`jnl`	Training SAR-ATR Models for Reliable Operation in Open-World Environments. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Nathan Inkawhich, Eric K. Davis, Matthew Inkawhich, Uttam K. Majumder, Yiran Chen
2020	A*	`conf`	DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles. NeurIPS Huanrui Yang, Jingyang Zhang, Hongliang Dong, Nathan Inkawhich, Andrew Gardner, Andrew Touchet, Wesley Wilkes, Heath Berry, Hai Li
2020	J	`jnl`	DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles. CoRR Huanrui Yang, Jingyang Zhang, Hongliang Dong, Nathan Inkawhich, Andrew Gardner, Andrew Touchet, Wesley Wilkes, Heath Berry, Hai Li
2020	A*	`conf`	Perturbing Across the Feature Hierarchy to Improve Standard and Strict Blackbox Attack Transferability. NeurIPS Nathan Inkawhich, Kevin J. Liang, Binghui Wang, Matthew Inkawhich, Lawrence Carin, Yiran Chen
2020	J	`jnl`	Perturbing Across the Feature Hierarchy to Improve Standard and Strict Blackbox Attack Transferability. CoRR Nathan Inkawhich, Kevin J. Liang, Binghui Wang, Matthew Inkawhich, Lawrence Carin, Yiran Chen
2020	A*	`conf`	Transferable Perturbations of Deep Feature Distributions. ICLR Nathan Inkawhich, Kevin J. Liang, Lawrence Carin, Yiran Chen
2020	J	`jnl`	Transferable Perturbations of Deep Feature Distributions. CoRR Nathan Inkawhich, Kevin J. Liang, Lawrence Carin, Yiran Chen
2019	A*	`conf`	Feature Space Perturbations Yield More Transferable Adversarial Examples. CVPR Nathan Inkawhich, Wei Wen, Hai (Helen) Li, Yiran Chen
2018	J	`jnl`	Adversarial Attacks for Optical Flow-Based Action Recognition Classifiers. CoRR Nathan Inkawhich, Matthew Inkawhich, Yiran Chen, Hai Li