Image forgery detection using adaptive oversegmentation and feature point matching CM Pun, XC Yuan, XL Bi ieee transactions on information forensics and security 10 (8), 1705-1716, 2015 | 329 | 2015 |
RRU-Net: The ringed residual U-Net for image splicing forgery detection X Bi, Y Wei, B Xiao, W Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 183 | 2019 |
Heart sounds classification using a novel 1-D convolutional neural network with extremely low parameter consumption B Xiao, Y Xu, X Bi, J Zhang, X Ma Neurocomputing 392, 153-159, 2020 | 136 | 2020 |
Image splicing forgery detection combining coarse to refined convolutional neural network and adaptive clustering B Xiao, Y Wei, X Bi, W Li, J Ma Information Sciences 511, 172-191, 2020 | 129 | 2020 |
Computer aided Alzheimer's disease diagnosis by an unsupervised deep learning technology X Bi, S Li, B Xiao, Y Li, G Wang, X Ma Neurocomputing 392, 296-304, 2020 | 126 | 2020 |
2D-LBP: an enhanced local binary feature for texture image classification B Xiao, K Wang, X Bi, W Li, J Han IEEE Transactions on Circuits and Systems for Video Technology 29 (9), 2796-2808, 2018 | 106 | 2018 |
Scaling and rotation invariant analysis approach to object recognition based on Radon and Fourier–Mellin transforms X Wang, B Xiao, JF Ma, XL Bi Pattern Recognition 40 (12), 3503-3508, 2007 | 104 | 2007 |
Multi-level dense descriptor and hierarchical feature matching for copy–move forgery detection X Bi, CM Pun, XC Yuan Information Sciences 345, 226-242, 2016 | 101 | 2016 |
Fractional discrete Tchebyshev moments and their applications in image encryption and watermarking B Xiao, J Luo, X Bi, W Li, B Chen Information Sciences 516, 545-559, 2020 | 95 | 2020 |
Global-feature encoding U-Net (GEU-Net) for multi-focus image fusion B Xiao, B Xu, X Bi, W Li IEEE Transactions on Image Processing 30, 163-175, 2020 | 93 | 2020 |
Follow the sound of children’s heart: a deep-learning-based computer-aided pediatric CHDs diagnosis system B Xiao, Y Xu, X Bi, W Li, Z Ma, J Zhang, X Ma IEEE Internet of Things Journal 7 (3), 1994-2004, 2019 | 71 | 2019 |
Fast copy-move forgery detection using local bidirectional coherency error refinement X Bi, CM Pun Pattern Recognition 81, 161-175, 2018 | 71 | 2018 |
Multi-focus image fusion by hessian matrix based decomposition B Xiao, G Ou, H Tang, X Bi, W Li IEEE Transactions on Multimedia 22 (2), 285-297, 2019 | 67 | 2019 |
Fast reflective offset-guided searching method for copy-move forgery detection X Bi, CM Pun Information Sciences 418, 531-545, 2017 | 49 | 2017 |
Multi-scale feature extraction and adaptive matching for copy-move forgery detection XL Bi, CM Pun, XC Yuan Multimedia Tools and Applications 77, 363-385, 2018 | 47 | 2018 |
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 | 38 | 2022 |
C2r net: The coarse to refined network for image forgery detection Y Wei, X Bi, B Xiao 2018 17th IEEE International Conference On Trust, Security And Privacy In …, 2018 | 29 | 2018 |
D-Net: A dual-encoder network for image splicing forgery detection and localization B Liu, Z Yang, X Bi, B Xiao, W Li, G Wang, X Gao Pattern Recognition, 110727, 2024 | 27 | 2024 |
Medical image registration based on uncoupled learning and accumulative enhancement Y Shu, H Wang, B Xiao, X Bi, W Li International Conference on Medical Image Computing and Computer-Assisted …, 2021 | 27 | 2021 |
Mcf: Mutual correction framework for semi-supervised medical image segmentation Y Wang, B Xiao, X Bi, W Li, X Gao Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 26 | 2023 |