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cs.CV2025
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…
cs.CV2024
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…
cs.CV2023
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…