受强制性开放获取政策约束的文章 - Jiangqun Ni了解详情
无法在其他位置公开访问的文章:47 篇
Deep learning hierarchical representations for image steganalysis
J Ye, J Ni, Y Yi
IEEE Transactions on Information Forensics and Security 12 (11), 2545-2557, 2017
强制性开放获取政策: 国家自然科学基金委员会
A deep learning approach to detection of splicing and copy-move forgeries in images
Y Rao, J Ni
2016 IEEE international workshop on information forensics and security (WIFS …, 2016
强制性开放获取政策: 国家自然科学基金委员会
Using statistical image model for JPEG steganography: Uniform embedding revisited
L Guo, J Ni, W Su, C Tang, YQ Shi
IEEE Transactions on Information Forensics and Security 10 (12), 2669-2680, 2015
强制性开放获取政策: 国家自然科学基金委员会
Rate and distortion optimization for reversible data hiding using multiple histogram shifting
J Wang, J Ni, X Zhang, YQ Shi
IEEE transactions on cybernetics 47 (2), 315-326, 2016
强制性开放获取政策: 国家自然科学基金委员会
Multiple histograms-based reversible data hiding: Framework and realization
J Wang, X Chen, J Ni, N Mao, Y Shi
IEEE Transactions on Circuits and Systems for Video Technology 30 (8), 2313-2328, 2019
强制性开放获取政策: 国家自然科学基金委员会
High-fidelity reversible data hiding using directionally enclosed prediction
H Chen, J Ni, W Hong, TS Chen
IEEE Signal Processing Letters 24 (5), 574-578, 2017
强制性开放获取政策: 国家自然科学基金委员会
Image steganography with symmetric embedding using Gaussian Markov random field model
W Su, J Ni, X Hu, J Fridrich
IEEE Transactions on Circuits and Systems for Video Technology 31 (3), 1001-1015, 2020
强制性开放获取政策: 国家自然科学基金委员会
Reversible data hiding with contrast enhancement using adaptive histogram shifting and pixel value ordering
H Chen, J Ni, W Hong, TS Chen
Signal Processing: Image Communication 46, 1-16, 2016
强制性开放获取政策: 国家自然科学基金委员会
A new distortion function design for JPEG steganography using the generalized uniform embedding strategy
W Su, J Ni, X Li, YQ Shi
IEEE Transactions on Circuits and Systems for Video Technology 28 (12), 3545 …, 2018
强制性开放获取政策: 国家自然科学基金委员会
A visually secure image encryption scheme using adaptive-thresholding sparsification compression sensing model and newly-designed memristive chaotic map
L Zhu, D Jiang, J Ni, X Wang, X Rong, M Ahmad
Information Sciences 607, 1001-1022, 2022
强制性开放获取政策: 国家自然科学基金委员会
Efficient JPEG steganography using domain transformation of embedding entropy
X Hu, J Ni, YQ Shi
IEEE Signal Processing Letters 25 (6), 773-777, 2018
强制性开放获取政策: 国家自然科学基金委员会
Multi-semantic CRF-based attention model for image forgery detection and localization
Y Rao, J Ni, H Xie
Signal Processing 183, 108051, 2021
强制性开放获取政策: 国家自然科学基金委员会
A dense u-net with cross-layer intersection for detection and localization of image forgery
R Zhang, J Ni
ICASSP 2020-2020 IEEE international conference on acoustics, speech and …, 2020
强制性开放获取政策: 国家自然科学基金委员会
Blind forensics of successive geometric transformations in digital images using spectral method: Theory and applications
C Chen, J Ni, Z Shen, YQ Shi
IEEE Transactions on Image Processing 26 (6), 2811-2824, 2017
强制性开放获取政策: 国家自然科学基金委员会
Improved uniform embedding for efficient JPEG steganography
Y Pan, J Ni, W Su
Cloud Computing and Security: Second International Conference, ICCCS 2016 …, 2016
强制性开放获取政策: 国家自然科学基金委员会
A new encryption-then-compression algorithm using the rate–distortion optimization
C Wang, J Ni, Q Huang
Signal Processing: Image Communication 39, 141-150, 2015
强制性开放获取政策: 国家自然科学基金委员会
Deepfake videos detection using self-supervised decoupling network
J Zhang, J Ni, H Xie
2021 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2021
强制性开放获取政策: 国家自然科学基金委员会
A customized convolutional neural network with low model complexity for JPEG steganalysis
J Huang, J Ni, L Wan, J Yan
Proceedings of the ACM workshop on information hiding and multimedia …, 2019
强制性开放获取政策: 国家自然科学基金委员会
Dual-domain generative adversarial network for digital image operation anti-forensics
H Xie, J Ni, YQ Shi
IEEE Transactions on Circuits and Systems for Video Technology 32 (3), 1701-1706, 2021
强制性开放获取政策: 国家自然科学基金委员会
Wavelet-based CNN for robust and high-capacity image watermarking
J Lu, J Ni, W Su, H Xie
2022 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2022
强制性开放获取政策: 国家自然科学基金委员会
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