no code implementations • 4 Mar 2024 • Ange Lou, Benjamin Planche, Zhongpai Gao, Yamin Li, Tianyu Luan, Hao Ding, Terrence Chen, Jack Noble, Ziyan Wu
However, the straightforward decomposition of 4D dynamic scenes into multiple 2D plane-based representations proves insufficient for re-rendering high-fidelity scenes with complex motions.
no code implementations • 6 Nov 2023 • Yamin Li, Ange Lou, Ziyuan Xu, Shiyu Wang, Catie Chang
The ability to obtain fMRI information from EEG would enable cost-effective, imaging across a wider set of brain regions.
no code implementations • 22 Aug 2023 • Ange Lou, Yamin Li, Xing Yao, Yike Zhang, Jack Noble
The accurate reconstruction of surgical scenes from surgical videos is critical for various applications, including intraoperative navigation and image-guided robotic surgery automation.
no code implementations • 8 Mar 2023 • Yamin Li, Saishuang Wu, Jiayang Xu, Haiwa Wang, Qi Zhu, Wen Shi, Yue Fang, Fan Jiang, Shanbao Tong, Yunting Zhang, Xiaoli Guo
Mother-child interaction is highly dynamic and reciprocal.
1 code implementation • 12 May 2022 • Wen Shi, Haoan Xu, Cong Sun, Jiwei Sun, Yamin Li, Xinyi Xu, Tianshu Zheng, Yi Zhang, Guangbin Wang, Dan Wu
Multi-slice magnetic resonance images of the fetal brain are usually contaminated by severe and arbitrary fetal and maternal motion.
1 code implementation • 21 Jun 2021 • Jiageng Mao, Minzhe Niu, Chenhan Jiang, Hanxue Liang, Jingheng Chen, Xiaodan Liang, Yamin Li, Chaoqiang Ye, Wei zhang, Zhenguo Li, Jie Yu, Hang Xu, Chunjing Xu
To facilitate future research on exploiting unlabeled data for 3D detection, we additionally provide a benchmark in which we reproduce and evaluate a variety of self-supervised and semi-supervised methods on the ONCE dataset.
no code implementations • 24 Jun 2020 • Yamin Li, Jiancheng Yang, Yi Xu, Jingwei Xu, Xiaodan Ye, Guangyu Tao, Xueqian Xie, Guixue Liu
It is achieved by predicting future displacement field of each voxel with a WarpNet.
no code implementations • 2 Jun 2020 • Zhongliang Yang, Baitao Gong, Yamin Li, Jinshuai Yang, Zhiwen Hu, Yongfeng Huang
On the one hand, we hide the secret information by coding the path in the knowledge graph, but not the conditional probability of each generated word; on the other hand, we can control the semantic expression of the generated steganographic text to a certain extent.
no code implementations • 20 Oct 2019 • Jiancheng Yang, Rongyao Fang, Bingbing Ni, Yamin Li, Yi Xu, Linguo Li
The final diagnosis is obtained by combining the ambiguity prior sample and lesion representation, and the whole network named $DenseSharp^{+}$ is end-to-end trainable.