M M Mahabubur Rahman presented a poster on "Evaluating Hybrid Approximate Nearest Neighbor Indexing and Search (HANNIS) for High-dimensional Image Feature Search" at 2022 IEEE International Conference on Big Data in Osaka, Japan (virtual presentation).
M M Mahabubur Rahman presented a workshop paper on "Hybrid Approximate Nearest Neighbor Indexing and Search (HANNIS) for Large Descriptor Databases" at BigData'22 7th Workshop on Advances in High Dimensional (AdHD) in Osaka, Japan (virtual presentation).
Texas Department of Transportation (TxDOT) funded $451,875 for a 3-year project "Artificial Intelligence for Pavement Condition Assessment from 2D/3D Surface Images" with Dr. Feng Wang, Civil Engineering as the PI, and Dr. Jelena Tešić as the co-PI.
Data Lab received two RTX A6000 48GB GPUs as a gift from NVIDIA. The gift will support the research in developing a high-recall low-noise deep learning system for localizing objects from 20,000 x 20,000 pixel overhead images at various scales from a variable distance.
Ph.D. student Haitao Hong presented the paper "Automated Pavement Crack Detection with Deep Learning Methods: What Are Main Factors and How to Improve the Performance? Transportation Research Record, 2022" at the Transportation Research Board (TRB) 101th Annual Meeting in Washington, D.C. in January 2022.
Jelena Tešić has received NAWCAD NAVAIR SBIR Phase 2.5 AT grant extension for $199,708 . Data Lab was awarded the subcontract for their advances in implementing novel indexing, re-identification, and class discovery algorithms for large overhead imagery (Prime: Mayachitra Inc.)
Dr. Tešić has received $327,147 for Naval Air Warfare Center Aircraft Division (NAWCAD) NAVAIR SBIR Phase 2.5 Accelerated Transition project ``Object Cueing Using Biomimetic Approaches to Visual Information Processing,’’ subcontract, Prime: Mayachitra Inc.