Multi-scale noise estimation for image splicing forgery detection CM Pun, B Liu, XC Yuan Journal of visual communication and image representation 38, 195-206, 2016 | 84 | 2016 |
Locating splicing forgery by fully convolutional networks and conditional random field B Liu, CM Pun Signal Processing: Image Communication 66, 103-112, 2018 | 60 | 2018 |
Digital image forgery detection using JPEG features and local noise discrepancies B Liu, CM Pun, XC Yuan The Scientific World Journal 2014 (1), 230425, 2014 | 56 | 2014 |
Detecting generated images by real images B Liu, F Yang, X Bi, B Xiao, W Li, X Gao European Conference on Computer Vision, 95-110, 2022 | 51 | 2022 |
Deep fusion network for splicing forgery localization B Liu, CM Pun proceedings of the European conference on computer vision (ECCV) workshops, 0-0, 2018 | 43 | 2018 |
Exposing splicing forgery in realistic scenes using deep fusion network B Liu, CM Pun Information Sciences 526, 133-150, 2020 | 42 | 2020 |
Adversarial example generation with adaptive gradient search for single and ensemble deep neural network Y Xiao, CM Pun, B Liu Information Sciences 528, 147-167, 2020 | 34 | 2020 |
Fooling deep neural detection networks with adaptive object-oriented adversarial perturbation Y Xiao, CM Pun, B Liu Pattern Recognition 115, 107903, 2021 | 32 | 2021 |
D-unet: a dual-encoder u-net for image splicing forgery detection and localization B Liu, R Wu, X Bi, B Xiao, W Li, G Wang, X Gao arXiv preprint arXiv:2012.01821, 2020 | 28 | 2020 |
Locating splicing forgery by adaptive-SVD noise estimation and vicinity noise descriptor B Liu, CM Pun Neurocomputing 387, 172-187, 2020 | 20 | 2020 |
Splicing forgery exposure in digital image by detecting noise discrepancies B Liu, CM Pun International Journal of Computer and Communication Engineering 4 (1), 33, 2015 | 19 | 2015 |
A SIFT and local features based integrated method for copy-move attack detection in digital image B Liu, CM Pun 2013 IEEE International Conference on Information and Automation (ICIA), 865-869, 2013 | 14 | 2013 |
PGNet: Positioning guidance network for semantic segmentation of very-high-resolution remote sensing images B Liu, J Hu, X Bi, W Li, X Gao Remote Sensing 14 (17), 4219, 2022 | 13 | 2022 |
Privacy-preserving color image feature extraction by quaternion discrete orthogonal moments X Bi, C Shuai, B Liu, B Xiao, W Li, X Gao IEEE Transactions on Information Forensics and Security 17, 1655-1668, 2022 | 12 | 2022 |
Crafting adversarial example with adaptive root mean square gradient on deep neural networks Y Xiao, CM Pun, B Liu Neurocomputing 389, 179-195, 2020 | 10 | 2020 |
A versatile detection method for various contrast enhancement manipulations X Bi, Y Shang, B Liu, B Xiao, W Li, X Gao IEEE Transactions on Circuits and Systems for Video Technology 33 (2), 491-504, 2022 | 9 | 2022 |
Depth-aware Test-Time Training for Zero-shot Video Object Segmentation W Liu, X Shen, H Li, X Bi, B Liu, CM Pun, X Cun Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 7 | 2024 |
Self-supervised image local forgery detection by JPEG compression trace X Bi, W Yan, B Liu, B Xiao, W Li, X Gao Proceedings of the AAAI Conference on Artificial Intelligence 37 (1), 232-240, 2023 | 6 | 2023 |
DLBD: A self-supervised direct-learned binary descriptor B Xiao, Y Hu, B Liu, X Bi, W Li, X Gao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 4 | 2023 |
Multi-object splicing forgery detection using noise level difference B Liu, CM Pun 2017 IEEE Conference on Dependable and Secure Computing, 533-534, 2017 | 3 | 2017 |