2 citations · 2 across the 2 of their papers we have counts for
4 papers
Out-of-Distribution Robustness with Deep Recursive Filters
Kapil D. Katyal, I-Jeng Wang, Gregory D. Hager
Accurate state and uncertainty estimation is imperative for mobile robots and self driving vehicles to achieve safe navigation in pedestrian rich environments. A critical component…
Jacks of All Trades, Masters Of None: Addressing Distributional Shift and Obtrusiveness via Transparent Patch Attacks
Neil Fendley, Max Lennon, I-Jeng Wang +2
We focus on the development of effective adversarial patch attacks and -- for the first time -- jointly address the antagonistic objectives of attack success and obtrusiveness via…
Adversarial Examples in Remote Sensing
Wojciech Czaja, Neil Fendley, Michael Pekala +2
This paper considers attacks against machine learning algorithms used in remote sensing applications, a domain that presents a suite of challenges that are not fully addressed by c…
Combining Deep Universal Features, Semantic Attributes, and Hierarchical Classification for Zero-Shot Learning
Jared Markowitz, Aurora C. Schmidt, Philippe M. Burlina +1
We address zero-shot (ZS) learning, building upon prior work in hierarchical classification by combining it with approaches based on semantic attribute estimation. For both non-nov…