Sökning: "Fahad Shahbaz Khan"

Hittade 3 avhandlingar innehållade orden Fahad Shahbaz Khan.

1. 1. Learning Convolution Operators for Visual Tracking

   Författare :Martin Danelljan; Michael Felsberg; Fahad Shahbaz Khan; Jiri Matas; Linköpings universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES;

   Sammanfattning : Visual tracking is one of the fundamental problems in computer vision. Its numerous applications include robotics, autonomous driving, augmented reality and 3D reconstruction. In essence, visual tracking can be described as the problem of estimating the trajectory of a target in a sequence of images. LÄS MER

3. 2. Uncertainty-Aware Convolutional Neural Networks for Vision Tasks on Sparse Data

   Författare :Abdelrahman Eldesokey; Michael Felsberg; Fahad Shahbaz Khan; Richard Bowden; Linköpings universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES;

   Sammanfattning : Early computer vision algorithms operated on dense 2D images captured using conventional monocular or color sensors. Those sensors embrace a passive nature providing limited scene representations based on light reflux, and are only able to operate under adequate lighting conditions. LÄS MER

4. 3. Learning visual perception for autonomous systems

   Författare :Gustav Häger; Michael Felsberg; Per-Erik Forssén; Fahad Shahbaz Khan; Roman Pflugfelder; Linköpings universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; computer vision; visual object tracking; tracking; machine learning; deep learning;

   Sammanfattning : In the last decade, developments in hardware, sensors and software have made it possible to create increasingly autonomous systems. These systems can be as simple as limited driver assistance software lane-following in cars, or limited collision warning systems for otherwise manually piloted drones. LÄS MER