3 papers
cs.RO2026
Grid or Nodes? Probing Object Memory in World Models Under Partial Observability
Justin McMillen, Yasin Yilmaz
A robot's world model must remember objects that leave the camera's view. FloWM, a learned world model, keeps them in a spatial grid of features that it moves with five built-in ve…
eess.IV2026
Preserving Vertical Structure in 3D-to-2D Projection for Permafrost Thaw Mapping
Justin McMillen, Robert Van Alphen, Taha Sadeghi Chorsi +5
Forecasting permafrost thaw from aerial lidar requires projecting 3D point cloud features onto 2D prediction grids, yet naive aggregation methods destroy the vertical structure cri…
eess.SP2023
Deep Learning-based RF Fingerprint Authentication with Chaotic Antenna Arrays
Justin McMillen, Gokhan Mumcu, Yasin Yilmaz
Radio frequency (RF) fingerprinting is a tool which allows for authentication by utilizing distinct and random distortions in a received signal based on characteristics of the tran…