no code implementations • 5 Jan 2024 • Yuping Ye, Zhan Song, Juan Zhao
This paper presents a partition-based surface registration for 3D morphable model(3DMM).
1 code implementation • 28 Feb 2023 • Xing Wang, Kexin Yang, Zhendong Wang, Junlan Feng, Lin Zhu, Juan Zhao, Chao Deng
First, we apply adaptive hybrid graph learning to learn the compound spatial correlations among cell towers.
no code implementations • 1 Nov 2021 • Xing Wang, Juan Zhao, Lin Zhu, Xu Zhou, Zhao Li, Junlan Feng, Chao Deng, Yong Zhang
AMF-STGCN extends GCN by (1) jointly modeling the complex spatial-temporal dependencies in mobile networks, (2) applying attention mechanisms to capture various Receptive Fields of heterogeneous base stations, and (3) introducing an extra decoder based on a fully connected deep network to conquer the error propagation challenge with multi-step forecasting.
no code implementations • 3 May 2021 • Jindi Lv, Qing Ye, Yanan sun, Juan Zhao, Jiancheng Lv
In this paper, we propose a novel approach, Heart-Darts, to efficiently classify the ECG signals by automatically designing the CNN model with the differentiable architecture search (i. e., Darts, a cell-based neural architecture search method).
no code implementations • 1 Jan 2021 • Xing Wang, Lin Zhu, Juan Zhao, Zhou Xu, Zhao Li, Junlan Feng, Chao Deng
Spatial-temporal data forecasting is of great importance for industries such as telecom network operation and transportation management.
3 code implementations • 22 Apr 2019 • Peng Zhang, Fuhao Zou, Zhiwen Wu, Nengli Dai, Skarpness Mark, Michael Fu, Juan Zhao, Kai Li
Face Anti-spoofing gains increased attentions recently in both academic and industrial fields.
Ranked #3 on Face Anti-Spoofing on SiW-Enroll5
1 code implementation • MILCOM 2017 • Juan Zhao, Sachin Shetty, Jan Wei Pan
We evaluated the technique on publicly available datasets, and the results demonstrate the effectiveness of transfer learning to detect new network attacks.