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672 results on '"Luo, Hu"'

3. A Novel Force Platform for Assessing Multidimensional Plantar Stresses in the Diabetic Foot—A Deep Learning-Based Decoupling Approach

Author

Luo, Hu, Ma, Xin, Chen, Wen-Ming, Magjarević, Ratko, Series Editor, Ładyżyński, Piotr, Associate Editor, Ibrahim, Fatimah, Associate Editor, Lackovic, Igor, Associate Editor, Rock, Emilio Sacristan, Associate Editor, Wang, Guangzhi, editor, Yao, Dezhong, editor, Gu, Zhongze, editor, Peng, Yi, editor, Tong, Shanbao, editor, and Liu, Chengyu, editor

Published
2024
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22. Vibrotactile Encoding of Object Features and Alert Levels for the Visually Impaired

Author

He, Liwen, Wang, Yun, Luo, Hu, Wang, Dangxiao, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Wang, Dangxiao, editor, Song, Aiguo, editor, Liu, Qian, editor, Kyung, Ki-Uk, editor, Konyo, Masashi, editor, Kajimoto, Hiroyuki, editor, Chen, Lihan, editor, and Ryu, Jee-Hwan, editor

Published
2023
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23. Image Enhancement Algorithm Based on Multi-scale Convolution Neural Network

Author

Luo, Hu, Liu, Jianye, Zhang, Xu, Tu, Dawei, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Yang, Huayong, editor, Liu, Honghai, editor, Zou, Jun, editor, Yin, Zhouping, editor, Liu, Lianqing, editor, Yang, Geng, editor, Ouyang, Xiaoping, editor, and Wang, Zhiyong, editor

Published
2023
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50. A multi-branch convolutional neural network for detecting double JPEG compression

Author

Li, Bin, Luo, Hu, Zhang, Haoxin, Tan, Shunquan, and Ji, Zhongzhou

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Multimedia
Abstract

Detection of double JPEG compression is important to forensics analysis. A few methods were proposed based on convolutional neural networks (CNNs). These methods only accept inputs from pre-processed data, such as histogram features and/or decompressed images. In this paper, we present a CNN solution by using raw DCT (discrete cosine transformation) coefficients from JPEG images as input. Considering the DCT sub-band nature in JPEG, a multiple-branch CNN structure has been designed to reveal whether a JPEG format image has been doubly compressed. Comparing with previous methods, the proposed method provides end-to-end detection capability. Extensive experiments have been carried out to demonstrate the effectiveness of the proposed network., Comment: This paper was accepted by the 3rd International Workshop on Digital Crime and Forensics (IWDCF2017)

Published
2017

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