no code implementations • 1 Jun 2023 • Jianhua Wang, Xiaolin Chang, Jelena Mišić, Vojislav B. Mišić, Lin Li, Yingying Yao
Federated Learning (FL), a privacy-oriented distributed ML paradigm, is being gaining great interest in Internet of Things because of its capability to protect participants data privacy.
no code implementations • 10 May 2023 • Wenjie Liu, Baokai Liu, Shiqiang Du, Yuqing Shi, Jiacheng Li, Jianhua Wang
The execution of the model is similar to the process of a mural restorer (i. e., inpainting the structure of the damaged mural globally first and then adding the local texture details further).
1 code implementation • 16 Mar 2023 • Lin Xi, Weihai Chen, Changchen Zhao, Xingming Wu, Jianhua Wang
Using collected dataset, we found 1) face detection algorithm cannot detect faces in video captured in low light conditions; 2) A decrease in the amplitude of the pulsatile signal will lead to the noise signal to be in the dominant position; and 3) the chrominance-based method suffers from the limitation in the assumption about skin-tone will not hold, and Green and ICA method receive less influence than POS in dark illuminance environment.
no code implementations • 2 Dec 2022 • Baokai Liu, Fengjie He, Shiqiang Du, Kaiwu Zhang, Jianhua Wang
Compared with existing methods, it is shown on different public datasets that our method is able to generate sharper and richer edge maps.
3 code implementations • Proceedings of the AAAI Conference on Artificial Intelligence 2022 • Shu-Lin Xu, Faen Zhang, Xiu-Shen Wei, Jianhua Wang
Specifically, by producing attention guidance from deep activations of input images, our hard-attention is realized by keeping a few useful deep descriptors and forming them as a bag of multi-instance learning.
no code implementations • Medical Engineering & Physics 2022 • Lin Xi, Xingming Wu, Weihai Chen, Jianhua Wang, Changchen Zhao
The test results verify that the proposed method has stronger robustness to low illumination than state-of-the-art methods, effectively improving the signal-to-noise ratio and heart rate estimation precision.
no code implementations • 17 May 2022 • Yu Wang, Binbin Zhu, Lingsi Kong, Jianlin Wang, Bin Gao, Jianhua Wang, Dingcheng Tian, YuDong Yao
With the help of deep learning methods, the automatic identification or segmentation of nerves can be realized, assisting doctors in completing nerve block anesthesia accurately and efficiently.
no code implementations • 8 Feb 2022 • Jinghan Tian, Jianhua Wang
Cuierzhuang Phenomenon (or Cuierzhuang Model) is a regional development phenomenon or rural revitalization model driven by ICT in the information era, characterized by the storage and transportation, processing, packaging and online sales of agricultural products, as well as online and offline coordination, long-distance and cross-regional economic cooperation, ethnic blending, equality, and mutual benefit.
no code implementations • 14 Oct 2021 • Yixiang Wang, Jiqiang Liu, Xiaolin Chang, Jianhua Wang, Ricardo J. Rodríguez
In this paper, we propose an interpretable white-box AE attack approach, DI-AA, which explores the application of the interpretable approach of the deep Taylor decomposition in the selection of the most contributing features and adopts the Lagrangian relaxation optimization of the logit output and L_p norm to further decrease the perturbation.