Search Results for author: Yan Shu

Found 7 papers, 2 papers with code

Read Pointer Meters in complex environments based on a Human-like Alignment and Recognition Algorithm

2 code implementations28 Feb 2023 Yan Shu, Shaohui Liu, Honglei Xu, Feng Jiang

Recently, developing an automatic reading system for analog measuring instruments has gained increased attention, as it enables the collection of numerous state of equipment.

Visual Text Meets Low-level Vision: A Comprehensive Survey on Visual Text Processing

1 code implementation5 Feb 2024 Yan Shu, Weichao Zeng, Zhenhang Li, Fangmin Zhao, Yu Zhou

Our aim is to establish this survey as a fundamental resource, fostering continued exploration and innovation in the dynamic area of visual text processing.

Image Enhancement Image Manipulation +1

Deep Automated Multi-task Learning

no code implementations IJCNLP 2017 Davis Liang, Yan Shu

Our results show that training on a primary task in parallel with a secondary automated task improves both the convergence speed and accuracy for the primary task.

Multi-Task Learning Sentiment Analysis

A Characterization of Mean Squared Error for Estimator with Bagging

no code implementations7 Aug 2019 Martin Mihelich, Charles Dognin, Yan Shu, Michael Blot

First, we prove that for any estimator, increasing the number of bagged estimators $N$ in the average can only reduce the MSE.

Condensing a Sequence to One Informative Frame for Video Recognition

no code implementations ICCV 2021 Zhaofan Qiu, Ting Yao, Yan Shu, Chong-Wah Ngo, Tao Mei

This paper studies a two-step alternative that first condenses the video sequence to an informative "frame" and then exploits off-the-shelf image recognition system on the synthetic frame.

Motion Estimation valid +1

Depth-agnostic Single Image Dehazing

no code implementations14 Jan 2024 Honglei Xu, Yan Shu, Shaohui Liu

To overcome the problem, we propose a simple yet novel synthetic method to decouple the relationship between haze density and scene depth, by which a depth-agnostic dataset (DA-HAZE) is generated.

Image Dehazing Single Image Dehazing

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