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Teng Xi

Researcher at Baidu

Publications -  8
Citations -  143

Teng Xi is an academic researcher from Baidu. The author has contributed to research in topics: Computer science & Real image. The author has an hindex of 4, co-authored 4 publications receiving 85 citations. Previous affiliations of Teng Xi include York University.

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Proceedings ArticleDOI

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.
Posted Content

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.
Posted Content

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

TL;DR: The NTIRE 2020 challenge on real image denoising with focus on the newly introduced dataset, the proposed methods and their results is reviewed in this paper, where a total of 22 teams, proposing 24 methods, competed in the final phase of the challenge.
Book ChapterDOI

AIM 2020 challenge on real image super-resolution: methods and results

TL;DR: The real image super-resolution (SR) challenge as mentioned in this paper was part of the Advances in Image Manipulation (AIM) workshop, held in conjunction with ECCV 2020.
Proceedings ArticleDOI

UFO: Unified Feature Optimization

TL;DR: In this paper , the authors proposed a unified feature optimization (UFO) paradigm for training and deploying deep models under real-world and large-scale scenarios, which requires a collection of multiple AI functions.