6 citations · 6 across the 5 of their papers we have counts for
5 papers
RigidDriveGS: Object-Centric Vehicle Reconstruction from Fixed Multi-Camera Drive-Through Captures
Nitin Kulkarni, Akhil Devarashetti, Charlie Cluss +4
High-fidelity 3D reconstruction of vehicle exteriors improves buyer confidence in online automotive marketplaces, but fixed multi-camera drive-through capture departs from standard…
Spatiotemporal Wildfire Prediction and Reinforcement Learning for Helitack Suppression
Shaurya Mathur, Shreyas Bellary Manjunath, Nitin Kulkarni +1
Wildfires are growing in frequency and intensity, devastating ecosystems and communities while causing billions of dollars in suppression costs and economic damage annually in the…
Attention-Based Offline Reinforcement Learning and Clustering for Interpretable Sepsis Treatment
Punit Kumar, Vaibhav Saran, Divyesh Patel +2
Sepsis remains one of the leading causes of mortality in intensive care units, where timely and accurate treatment decisions can significantly impact patient outcomes. In this work…
Rig-Aware 3D Reconstruction of Vehicle Undercarriages using Gaussian Splatting
Nitin Kulkarni, Akhil Devarashetti, Charlie Cluss +5
Inspecting the undercarriage of used vehicles is a labor-intensive task that requires inspectors to crouch or crawl underneath each vehicle to thoroughly examine it. Additionally,…
Optimizing city-scale traffic through modeling observations of vehicle movements
Fan Yang, Alina Vereshchaka, Bruno Lepri +1
The capability of traffic-information systems to sense the movement of millions of users and offer trip plans through mobile phones has enabled a new way of optimizing city traffic…