1 citations · 3 across the 6 of their papers we have counts for
6 papers
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…
Integrated Multimodal AI System for Retrieval-Augmented Reasoning, Object Sensing, and Damage Analysis
Kalelo Dukuray, Israel Pina, Evan Perez +2
This work presents a unified multimodal AI system for damage assessment that integrates retrieval-augmented generation (RAG) models, thermal spectrum perception, vision foundation…
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…
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…
Transparent Object Tracking with Enhanced Fusion Module
Kalyan Garigapati, Erik Blasch, Jie Wei +1
Accurate tracking of transparent objects, such as glasses, plays a critical role in many robotic tasks such as robot-assisted living. Due to the adaptive and often reflective textu…