Zobrazeno 1 - 10
of 55
pro vyhledávání: '"Fei Yin"'
Publikováno v:
International Journal of Parallel Programming. 50:27-64
With the rapid growth of artificial intelligence (AI), the Internet of Things (IoT) and big data, emerging applications that cross stacks with different techniques bring new challenges to parallel computing systems. These cross-stack functionalities
Publikováno v:
Information Processing in Agriculture, Vol 7, Iss 4, Pp 556-565 (2020)
In this paper, a fast and effective method based on multiple image features and a weighted K-means clustering algorithm is proposed to achieve the automatic grading of apples. The method provides a novel way of using four images (top, bottom and two
Publikováno v:
CAAI Transactions on Intelligent Technologies
CAAI Transactions on Intelligent Technologies, Institution of Engineering and Technology, 2018, 3 (3), pp.161-168. ⟨10.1049/trit.2018.1018⟩
CAAI Transactions on Intelligence Technology (2018)
CAAI Transactions on Intelligent Technologies, Institution of Engineering and Technology, 2018, 3 (3), pp.161-168. ⟨10.1049/trit.2018.1018⟩
CAAI Transactions on Intelligence Technology (2018)
To effectively mine the contents embedded in web images, it is useful to classify the images into different types so that they can be fed to different procedures for detailed analysis. The authors herein propose a hierarchical algorithm for efficient
Publikováno v:
ICPR
Scene text detection has been studied extensively. Existing methods detect either words or text lines and use either word-level or line-level annotated data for training. In this paper, we propose a dual-task network that can perform word-level and l
Publikováno v:
ICPR
This paper considers recognizing texts shown in a source language and translating into a target language, without generating the intermediate source language text image recognition results. We call this problem Cross-Lingual Text Image Recognition (C
Publikováno v:
ICPR
Offline signature verification, to determine whether a handwritten signature image is genuine or forged for a claimed identity, is needed in many applications. How to extract salient features and how to calculate similarity scores are the major issue
Publikováno v:
ICPR
Recent research has revealed that deep neural networks are highly vulnerable to adversarial examples. In this paper, different from most adversarial attacks which directly modify pixels in spatial domain, we propose a novel black-box attack in freque
Publikováno v:
ICFHR
Text images convey important information for various applications, while the recognition of low-resolution text images is a challenge. Most existing methods solve this problem using a cascaded scheme in two steps: image super-resolution and high-reso
Autor:
Cheng-Lin Liu, Yu-Pei Yan, Gui-Yun Chen, Da-Han Wang, Jin-Wen Wu, Fei Yin, Zhi Cai Huang, Yao Wang
Publikováno v:
ICFHR
This paper presents the competition on Offline Recognition and Spotting of Handwritten Mathematical Expressions (OffRaSHME) held at the 17th International Conference on Frontiers in Handwriting Recognition (ICFHR 2020). Handwritten Mathematical Expre
Publikováno v:
ICFHR
In this paper, we proposed a weakly supervised learning method for string-level training of character classifier in over-segmentation based handwritten Chinese text recognition (HCTR). The over-segmentation based framework can easily integrate multip