wuyx has 346 repositories available. Follow their code on GitHub.

The provided code implements the paper that presents an end-to-end deep learning approach for translating ordinary photos from smartphones into DSLR-quality images. The learned model can be applied to photos of arbitrary resolution, while the methodology itself is generalized to any type of digital camera. More visual results can be found here. 2.

Deep neural network for object detection and semantic segmentation in real-time. This repository contains original implementation of the paper 'BlitzNet: A Real-Time Deep Network for Scene Understanding' by Nikita Dvornik, Konstantin Shmelkov, Julien Mairal and Cordelia Schmid. The paper is available at https://arxiv.org/abs/1708.02813.

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278 Followers, 248 Following, 38 Posts - Wuyx (@wuyx_5) on Instagram: "Ash Wu from @lcflondon_ My Planet @studio_jupiterinmyeyes"

My research focuses on developing novel statistical and machine-learning methodologies for analyzing high-dimensional and complex data stemming from neuroimaging, neuroscience, and broader biological and medical research.

28 Followers, 20 Following, 11 Posts - See Instagram photos and videos from Wuyx (@wuyx__)

I am a fourth-year PhD student in Biostatistics at UW. Before entering the PhD program, I was a research scientist at the NYU School of Medicine Division of Biostatistics where I led data management and analysis efforts for a number of research projects.