5 papers
Long-Tailed Medical Image Classification
Nathanael Ren, Saagar Arya
In this paper, we examine the difficulties of using standard techniques for medical image classification due to long-tailed distributions (wherein rarer conditions have very few sa…
Technical Design Review of Duke Robotics Club's Oogway & Crush: AUVs for RoboSub 2026
Patrick Zheng, Saagar Arya, Hung Le +16
The Duke Robotics Club presents Oogway and Crush, our AUVs for RoboSub 2026. This year's strategy expands on our previously narrowed scope, targeting all four of RoboSub's design g…
On Thin Ice: Towards Explainable Conservation Monitoring via Attribution and Perturbations
Jiayi Zhou, Günel Aghakishiyeva, Saagar Arya +7
Computer vision can accelerate ecological research and conservation monitoring, yet adoption in ecology lags in part because of a lack of trust in black-box neural-network-based mo…
Photorealistic Inpainting for Perturbation-based Explanations in Ecological Monitoring
Günel Aghakishiyeva, Jiayi Zhou, Saagar Arya +7
Ecological monitoring is increasingly automated by vision models, yet opaque predictions limit trust and field adoption. We present an inpainting-guided, perturbation-based explana…
Technical Design Review of Duke Robotics Club's Oogway: An AUV for RoboSub 2024
Will Denton, Michael Bryant, Lilly Chiavetta +20
The Duke Robotics Club is proud to present our robot for the 2024 RoboSub Competition: Oogway. Now in its second year, Oogway has been dramatically upgraded in both its capabilitie…