Now showing items 1-6 of 6
Two-Stream Convolutional Networks for Dynamic Texture Synthesis
This thesis introduces a two-stream model for dynamic texture synthesis. The model is based on pre-trained convolutional networks (ConvNets) that target two independent tasks: (i) object recognition, and (ii) optical flow ...
Map-Based Localization for Unmanned Aerial Vehicle Navigation
Unmanned Aerial Vehicles (UAVs) require precise pose estimation when navigating in indoor and GNSS-denied / GNSS-degraded outdoor environments. The possibility of crashing in these environments is high, as spaces are ...
A Study on Deep Learning: Training, Models and Applications
In the past few years, deep learning has become a very important research field that has attracted a lot of research interests, attributing to the development of the computational hardware like high performance GPUs, ...
The Role of Early Recurrence in Improving Visual Representations
This dissertation proposes a computational model of early vision with recurrence, termed as early recurrence. The idea is motivated from the research of the primate vision. Specifically, the proposed model relies on the ...
Individual Tree Crown Delineation Using Multispectral LiDAR Data
In this study, an improved treetop detection and a region-based segmentation algorithm were developed to delineate Individual Tree Crowns (ITCs) using multispectral Light Detection and Ranging (LiDAR) data. The dataset ...
Biolocomotion Detection in Videos
Animals locomote for various reasons: to search for food, to find suitable habitat, to pursue prey, to escape from predators, or to seek a mate. The grand scale of biodiversity contributes to the great locomotory design ...