5 citations · 11 across the 4 of their papers we have counts for
3 papers · 1 filter
Adapting General-Purpose Foundation Models for X-ray Ptychography in Low-Data Regimes
Robinson Umeike, Neil Getty, Yin Xiangyu +1
The automation of workflows in advanced microscopy is a key goal where foundation models like Language Models (LLMs) and Vision-Language Models (VLMs) show great potential. However…
Scaling Large Vision-Language Models for Enhanced Multimodal Comprehension In Biomedical Image Analysis
Robinson Umeike, Neil Getty, Fangfang Xia +1
Large language models (LLMs) have demonstrated immense capabilities in understanding textual data and are increasingly being adopted to help researchers accelerate scientific disco…
Accelerating Post-Tornado Disaster Assessment Using Advanced Deep Learning Models
Robinson Umeike, Thang Dao, Shane Crawford
Post-disaster assessments of buildings and infrastructure are crucial for both immediate recovery efforts and long-term resilience planning. This research introduces an innovative…