Browsing by Subject "Pipelines"

Now showing 1 - 5 of 5

Open Access
The best way to unblock the pipeline in CS is by getting everyone to code in schools. A debate
(ACM, 2016) Craig, A.; Lang, C.; Egan, M. A.; Ayfer, Reyyan
Many believe that the push to increase the number of skilled computer scientists must be a multi-pronged approach and be institutionalized at all levels of education. Some federal and local governments are requiring that all students become proficient in technical areas in primary and secondary schooling. Will the call for all schools to teach every student coding be the magic bullet that unblocks the computing pipeline? Is adding another core subject to an already crowded curricula the answer? Are schools ready? It is noted that there is no universal computer science/coding curriculum for teachers to follow, some teachers don't have the skills or the enthusiasm to do this, not all students can think logically so why try to force them? In the words of Einstein "Everybody is a genius. But if you judge a fish by its ability to climb a tree, it will live its whole life believing that it is stupid".
Open Access
The challenges facing Eastern Mediterranean gas and how international law can help overcome them
(Taylor and Francis, 2021) Stanič, A.; Karbuz, Sohbet
Enormous natural gas reserves in the Eastern Mediterranean have attracted the attention of the international energy majors. The region, however, remains one of the most under-explored and -exploited regions in the world. Numerous technical, commercial, legal and political challenges need to be overcome for these resources to be exploited and exported. This article examines the key commercial and legal challenges the region faces, and proposes possible ways to overcome these challenges by discussing the international law on the delimitation of maritime boundaries and the customary international law obligations of states in the region to resolve delimitation disputes peacefully, to make every effort to enter into provisional arrangements of a practical nature pending agreement on final delimitation and to refrain from unilaterally exploiting natural resources in disputed maritime zones
Open Access
StyleRes: transforming the residuals for real ımage editing with StyleGAN
(IEEE, 2023-07-22) Pehlivan, Hamza; Dalva, Yusuf; Dündar, Aysegül
We present a novel image inversion framework and a training pipeline to achieve high-fidelity image inversion with high-quality attribute editing. Inverting real images into StyleGAN’s latent space is an extensively studied problem, yet the trade-off between the image reconstruction fidelity and image editing quality remains an open challenge. The low-rate latent spaces are limited in their expressiveness power for high-fidelity reconstruction. On the other hand, high-rate latent spaces result in degradation in editing quality. In this work, to achieve high-fidelity inversion, we learn residual features in higher latent codes that lower latent codes were not able to encode. This enables preserving image details in reconstruction. To achieve high-quality editing, we learn how to transform the residual features for adapting to manipulations in latent codes. We train the framework to extract residual features and transform them via a novel architecture pipeline and cycle consistency losses. We run extensive experiments and compare our method with state-of-the-art inversion methods. Qualitative metrics and visual comparisons show significant improvements. Code: https://github.com/hamzapehlivan/StyleRes
Open Access
Turkey and EU energy security: the pipeline connection
(Department of Political Science, CEU, 2009) Tekin, A.; Williams, P. A.
[No abstract available]
Open Access
A unified graphics rendering pipeline for autostereoscopic rendering
(IEEE, 2007-05) Kalaiah, A.; Çapin, Tolga K.
Autostereoscopic displays require rendering a scene from multiple viewpoints. The architecture of current-generation graphics processors are still grounded in the historic evolution of monoscopic rendering. In this paper, we present a novel programmable rendering pipeline that renders to multiple viewpoints in a single pass. Our approach leverages on the computational and memory fetch coherence of rendering to multiple viewpoints to achieve significant speedup. We present an emulation of the principles of our pipeline using the current-generation GPUs and present a quantitative estimate of the benefits of our approach. We make a case for the new rendering pipeline by demonstrating its benefits for a range of applications such as autostereoscopic rendering and for shadow map computation for a scene with multiple light sources. © 2007 IEEE.