Lichuan Xiang

Lichuan Xiang
The University of Warwick · Department of Computer Science

Doctor of Philosophy

About

4
Publications
210
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5
Citations
Introduction
Focus on real-world computer vision and auto-ml

Publications

Publications (4)
Article
Full-text available
We formalize and analyze a fundamental component of dif- ferentiable neural architecture search (NAS): local “opera- tion scoring” at each operation choice. We view existing operation scoring functions as inexact proxies for accuracy, and we find that they perform poorly when analyzed empir- ically on NAS benchmarks. From this perspective, we intro...
Preprint
Full-text available
Deep learning-based blind super-resolution (SR) methods have recently achieved unprecedented performance in upscaling frames with unknown degradation. These models are able to accurately estimate the unknown downscaling kernel from a given low-resolution (LR) image in order to leverage the kernel during restoration. Although these approaches have l...
Preprint
Full-text available
Differentiable neural architecture search (NAS) has attracted significant attention in recent years due to its ability to quickly discover promising architectures of deep neural networks even in very large search spaces. Despite its success, DARTS lacks robustness in certain cases, e.g. it may degenerate to trivial architectures with excessive para...

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