Matthew Inkawhich

According to our database, Matthew Inkawhich authored at least 8 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Tunable Hybrid Proposal Networks for the Open World.

Matthew Inkawhich, Nathan Inkawhich, Hai Li, Yiran Chen

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2022

Self-Trained Proposal Networks for the Open World.

Matthew Inkawhich, Nathan Inkawhich, Hai Helen Li, Yiran Chen

CoRR, 2022

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

Matthew Inkawhich, Nathan Inkawhich, Eric K. Davis, Hai Li, Yiran Chen

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

2021

Bridging a Gap in SAR-ATR: Training on Fully Synthetic and Testing on Measured Data.

Nathan Inkawhich, Matthew Inkawhich, Eric K. Davis, Uttam K. Majumder, Erin E. Tripp, Chris Capraro, Yiran Chen

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Training SAR-ATR Models for Reliable Operation in Open-World Environments.

Nathan Inkawhich, Eric K. Davis, Matthew Inkawhich, Uttam K. Majumder, Yiran Chen

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

2020

Perturbing Across the Feature Hierarchy to Improve Standard and Strict Blackbox Attack Transferability.

Nathan Inkawhich, Kevin J. Liang, Binghui Wang, Matthew Inkawhich, Lawrence Carin, Yiran Chen

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Snooping Attacks on Deep Reinforcement Learning.

Matthew Inkawhich, Yiran Chen, Hai Helen Li

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2018

Adversarial Attacks for Optical Flow-Based Action Recognition Classifiers.

Nathan Inkawhich, Matthew Inkawhich, Yiran Chen, Hai Li

CoRR, 2018