[HTML][HTML] A survey of computer vision methods for 2d object detection from unmanned aerial vehicles
The spread of Unmanned Aerial Vehicles (UAVs) in the last decade revolutionized many
applications fields. Most investigated research topics focus on increasing autonomy during …
applications fields. Most investigated research topics focus on increasing autonomy during …
Challenges in autonomous UAV cinematography: An overview
Autonomous UAV cinematography is an active research field with exciting potential for the
media industry. It bears the promise of greatly facilitating UAV shooting for various …
media industry. It bears the promise of greatly facilitating UAV shooting for various …
Embedded UAV real-time visual object detection and tracking
The use of camera-equipped Unmanned Aerial Vehicles (UAVs, or “drones”) for a wide
range of aerial video capturing applications, including media production, surveillance …
range of aerial video capturing applications, including media production, surveillance …
[HTML][HTML] Automatic classification of human facial features based on their appearance
Classification or typology systems used to categorize different human body parts have
existed for many years. Nevertheless, there are very few taxonomies of facial features …
existed for many years. Nevertheless, there are very few taxonomies of facial features …
Self-supervised autoencoders for clustering and classification
Clustering techniques aim at finding meaningful groups of data samples which exhibit
similarity with regards to a set of characteristics, typically measured in terms of pairwise …
similarity with regards to a set of characteristics, typically measured in terms of pairwise …
Efficient camera control using 2d visual information for unmanned aerial vehicle-based cinematography
Using Unmanned Aerial Vehicles (UAVs), also known as drones, for covering public sport
events, such as bicycle races, is becoming increasingly popular. Even though the problem of …
events, such as bicycle races, is becoming increasingly popular. Even though the problem of …
Autoencoder-driven spiral representation learning for gravitational wave surrogate modelling
Recently, artificial neural networks have been gaining momentum in the field of gravitational
wave astronomy, for example in surrogate modelling of computationally expensive …
wave astronomy, for example in surrogate modelling of computationally expensive …
Machine Learning Applications in Gravitational Wave Astronomy
N Stergioulas - arXiv preprint arXiv:2401.07406, 2024 - arxiv.org
Gravitational wave astronomy has emerged as a new branch of observational astronomy,
since the first detection of gravitational waves in 2015. The current number of $ O (100) …
since the first detection of gravitational waves in 2015. The current number of $ O (100) …
[HTML][HTML] Person identification from drones by humans: insights from cognitive psychology
MC Fysh, M Bindemann - Drones, 2018 - mdpi.com
The deployment of unmanned aerial vehicles (ie, drones) in military and police operations
implies that drones can provide footage that is of sufficient quality to enable the recognition …
implies that drones can provide footage that is of sufficient quality to enable the recognition …
Predicting judgments of food healthiness with deep latent-construct cultural consensus theory
Deep neural network representations of entities can serve as inputs to computational
models of human mental representations to predict people's behavioral and physiological …
models of human mental representations to predict people's behavioral and physiological …