Now showing items 1-6 of 6
CloudCV: Deep Learning and Computer Vision on the Cloud
(Virginia Tech, 2016-06-20)
We are witnessing a proliferation of massive visual data. Visual content is arguably the fastest growing data on the web. Photo-sharing websites like Flickr and Facebook now host more than 6 and 90 billion photos, respectively. ...
Deep Learning Neural Network-based Sinogram Interpolation for Sparse-View CT Reconstruction
(Virginia Tech, 2019-06-14)
Computed Tomography (CT) finds applications across domains like medical diagnosis, security screening, and scientific research. In medical imaging, CT allows physicians to diagnose injuries and disease more quickly and ...
Deep Learning Models for Context-Aware Object Detection
(Virginia Tech, 2017-09-15)
In this thesis, we present ContextNet, a novel general object detection framework for incorporating context cues into a detection pipeline. Current deep learning methods for object detection exploit state-of-the-art image ...
Synthesizing Realistic Data for Vision Based Drone-to-Drone Detection
(Virginia Tech, 2019-07-15)
In the thesis, we aimed at building a robust UAV(drone) detection algorithm through which, one drone could detect another drone in flight. Though this was a straight forward object detection problem, the biggest challenge ...
Vehicle Detection in Deep Learning
(Virginia Tech, 2019-07-08)
Computer vision techniques are becoming increasingly popular. For example, face recognition is used to help police find criminals, vehicle detection is used to prevent drivers from serious traffic accidents, and written ...
The Art of Deep Connection - Towards Natural and Pragmatic Conversational Agent Interactions
(Virginia Tech, 2017-07-12)
As research in Artificial Intelligence (AI) advances, it is crucial to focus on having seamless communication between humans and machines in order to effectively accomplish tasks. Smooth human-machine communication requires ...