Now showing items 1-6 of 6
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 ...
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, ...
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 ...
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 ...
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 ...