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cs.CV2026
Damage Classification for 3D Point Cloud Data via 3D Data Analysis and Vision Foundation Model-based 2D Projections
Evan Perez, Kalelo Dukuray, Erika Ardiles-Cruz +1
Fine-grained damage classification of 3D point cloud data (PCD) remains a persistent challenge, constrained by high computational demands and limited labeled data. This study exami…
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…