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Baopu Li

Researcher at Baidu

Publications -  23
Citations -  305

Baopu Li is an academic researcher from Baidu. The author has contributed to research in topics: Real image & Artificial neural network. The author has an hindex of 7, co-authored 23 publications receiving 163 citations. Previous affiliations of Baopu Li include York University.

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NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results

TL;DR: This paper reviews the NTIRE 2020 challenge on real image denoising with focus on the newly introduced dataset, the proposed methods and their results, based on the SIDD benchmark.
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AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results

TL;DR: This paper introduces the real image Super-Resolution challenge that was part of the Advances in Image Manipulation (AIM) workshop, held in conjunction with ECCV 2020, and gauges the state-of-the-art approaches for real image SR in terms of PSNR and SSIM.
Proceedings ArticleDOI

A Novel Rank Selection Scheme in Tensor Ring Decomposition Based on Reinforcement Learning for Deep Neural Networks

TL;DR: A novel rank selection scheme is proposed, which is inspired by reinforcement learning, to automatically select ranks in recently studied tensor ring decomposition in each convolutional layer for effectively compressing deep neural networks while maintaining comparable accuracy.