Search Results for author:
Found 3 papers, 1 papers with code
Improving Object Detector Training on Synthetic Data by Starting With a Strong Baseline Methodology
Besides reaching relatively strong performance without any specialized synthetic data transfer methods, we show that our methods improve the state of the art on synthetic data trained object detection for the RarePlanes and DGTA-VisDrone datasets, and reach near-perfect performance on an in-house vehicle detection dataset.
Capturing Hands in Action using Discriminative Salient Points and Physics Simulation
Hand motion capture is a popular research field, recently gaining more attention due to the ubiquity of RGB-D sensors.
City-Scale Change Detection in Cadastral 3D Models Using Images
In this paper, we propose a method to detect changes in the geometry of a city using panoramic images captured by a car driving around the city.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
