no code implementations • 15 Jan 2022 • Zhihe Zhao, Xian Shuai, Yang Bai, Neiwen Ling, Nan Guan, Zhenyu Yan, Guoliang Xing
Achieving efficient execution of machine learning models has attracted significant attention recently.
no code implementations • 11 Mar 2022 • Jin Hao, Jiaxiang Liu, Jin Li, Wei Pan, Ruizhe Chen, Huimin Xiong, Kaiwei Sun, Hangzheng Lin, Wanlu Liu, Wanghui Ding, Jianfei Yang, Haoji Hu, Yueling Zhang, Yang Feng, Zeyu Zhao, Huikai Wu, Youyi Zheng, Bing Fang, Zuozhu Liu, Zhihe Zhao
Here, we present a Deep Dental Multimodal Analysis (DDMA) framework consisting of a CBCT segmentation model, an intraoral scan (IOS) segmentation model (the most accurate digital dental model), and a fusion model to generate 3D fused crown-root-bone structures with high fidelity and accurate occlusal and dentition information.
1 code implementation • 6 Aug 2022 • Xiaolong Luo, Wanzhong Song, Songlin Bai, Yu Li, Zhihe Zhao
This system necessitates a robust spatial phase unwrapping (SPU) algorithm.
no code implementations • 10 Jul 2023 • Zhihe Zhao, Neiwen Ling, Nan Guan, Guoliang Xing
Many applications such as autonomous driving and augmented reality, require the concurrent running of multiple deep neural networks (DNN) that poses different levels of real-time performance requirements.
no code implementations • 15 Mar 2024 • Xiaotong Yu, Ruihan Xie, Zhihe Zhao, Chang-Wen Chen
While we enjoy the richness and informativeness of multimodal data, it also introduces interference and redundancy of information.