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Temporal action localization is an important yet challenging problem. Given a long, untrimmed video consisting of multiple action… Expand Abstract This paper presents a new major release of the program FIESTA (Feynman Integral Evaluation by a Sector decomposiTion… Expand A variety of model-based approaches for supporting decision-making under deep uncertainty have been suggested, but they are… Expand Recent trends suggest that neural-network-inspired word embedding models outperform traditional count-based distributional models… Expand Deep convolutional neural networks (DCNNs) trained on a large number of images with strong pixel-level annotations have recently… Expand Deep convolutional neural networks (DCNNs) trained on a large number of images with strong pixel-level annotations have recently… Expand The pull-based development model, enabled by git and popularised by collaborative coding platforms like Bit Bucket, Gitorius, and… Expand This document provides an overview of the benchmark ? HPGMG ? for ranking large scale general purpose computers for use on the… Expand Software metrics have many uses, e.g., defect prediction, effort estimation, and benchmarking an organization against peers and… Expand In this paper, we report on very efficient algorithms for the spherical harmonic transform (SHT). Explicitly vectorized… Expand