Catalogue Search | MBRL
Are you sure you want to remove the book from the shelf?
{{itemTitle}}
24,641
result(s) for
"Sketches"
Sort by:
From rays to waves and beyond: Light propagation in historical perspective
This paper sketches selected episodes from the history of research about the nature of light in the nineteenth and twentieth century. It begins with the discovery of “invisible rays from the Sun” and ends with the advent of the so-called wave-particle duality. In doing so the paper asks how far the question of the nature of light after many years of discussions and discoveries may be regarded as answered or not.
Journal Article
Sketch-a-Net: A Deep Neural Network that Beats Humans
We propose a deep learning approach to free-hand sketch recognition that achieves state-of-the-art performance, significantly surpassing that of humans. Our superior performance is a result of modelling and exploiting the unique characteristics of free-hand sketches, i.e., consisting of an ordered set of strokes but lacking visual cues such as colour and texture, being highly iconic and abstract, and exhibiting extremely large appearance variations due to different levels of abstraction and deformation. Specifically, our deep neural network, termed Sketch-a-Net has the following novel components: (i) we propose a network architecture designed for sketch rather than natural photo statistics. (ii) Two novel data augmentation strategies are developed which exploit the unique sketch-domain properties to modify and synthesise sketch training data at multiple abstraction levels. Based on this idea we are able to both significantly increase the volume and diversity of sketches for training, and address the challenge of varying levels of sketching detail commonplace in free-hand sketches. (iii) We explore different network ensemble fusion strategies, including a re-purposed joint Bayesian scheme, to further improve recognition performance. We show that state-of-the-art deep networks specifically engineered for photos of natural objects fail to perform well on sketch recognition, regardless whether they are trained using photos or sketches. Furthermore, through visualising the learned filters, we offer useful insights in to where the superior performance of our network comes from.
Journal Article
The challenges of the applications of petawatt laserplasmas
Ultrafast laser technology has been developed to extreme power over the past years, and 10PW beams are now operating on target at ELI-NP in Romania. From high field physics to particle acceleration to very high energies these lasers are paving the way to a wide range of applications. This paper reviews, through the example of the generation of isotopes, some of the technology, strategic and operational challenges faced and sketches a route to apply the PW technology to societal and industrial problems.
Journal Article
The Second City : the essentially accurate history
\"New and updated second edition of The Second City, which tells the story of the comedy institution in with photos and stories from the cast\"-- Provided by publisher.
Book
Generative Sketch Healing
To perceive and create a whole from parts is a prime trait of the human visual system. In this paper, we teach machines to perform a similar task by recreating a vectorised human sketch from its incomplete parts, dubbed as sketch healing. This is fundamentally different to prior works on image completion since (i) sketches exhibit a severe lack of visual cues and are of a sequential nature, and more importantly (ii) we ask for an agent that does not just fill in a missing part, but to recreate a novel sketch that closely resembles the partial input from scratch. We identify two key facets of sketch healing that are fundamental for effective learning. The first is encoding the incomplete sketches in a graph model that leverages the sequential nature of sketches to associate key visual parts centred around stroke junctions. The intuition is then that message passing within the graph topology will naturally provide the healing power when it comes to missing parts (nodes and edges). Second we show healing is a trade-off process between global semantic preservation and local structure reconstruction, and that it can only be effectively solved when both are taken into account and optimised together. Both qualitative and quantitative results suggest that the proposed method significantly outperforms the state-of-the-art alternatives on sketch healing. Last but not least, we show that sketch healing can be re-purposed to support the interesting application of sketch-based creativity assistant, which aims at generating a novel sketch from two partial sketches even without specifically trained so.
Journal Article