6 papers
Effective Damage Data Generation by Fusing Imagery with Human Knowledge Using Vision-Language Models
Jie Wei, Erika Ardiles-Cruz, Aleksey Panasyuk +1
It is of crucial importance to assess damages promptly and accurately in humanitarian assistance and disaster response (HADR). Current deep learning approaches struggle to generali…
Efficient Temporal Action Segmentation via Boundary-aware Query Voting
Peiyao Wang, Yuewei Lin, Erik Blasch +2
Although the performance of Temporal Action Segmentation (TAS) has improved in recent years, achieving promising results often comes with a high computational cost due to dense inp…
PADTHAI-MM: Principles-based Approach for Designing Trustworthy, Human-centered AI using MAST Methodology
Myke C. Cohen, Nayoung Kim, Yang Ba +7
Despite an extensive body of literature on trust in technology, designing trustworthy AI systems for high-stakes decision domains remains a significant challenge, further compounde…
Evaluating Trustworthiness of AI-Enabled Decision Support Systems: Validation of the Multisource AI Scorecard Table (MAST)
Pouria Salehi, Yang Ba, Nayoung Kim +10
The Multisource AI Scorecard Table (MAST) is a checklist tool based on analytic tradecraft standards to inform the design and evaluation of trustworthy AI systems. In this study, w…
Electric Vehicle Aggregation Review: Benefits and Vulnerabilities of Managing a Growing EV Fleet
Kelsey Nelson, Javad Mohammadi, Yu Chen +5
Electric vehicles (EVs) are becoming more popular within the United States, making up an increasingly large portion of the US's electricity consumption. Hence, there is much attent…
Image Prior and Posterior Conditional Probability Representation for Efficient Damage Assessment
Jie Wei, Weicong Feng, Erik Blasch +2
It is important to quantify Damage Assessment (DA) for Human Assistance and Disaster Response (HADR) applications. In this paper, to achieve efficient and scalable DA in HADR, an i…