no code implementations • ICCV 2023 • Wanli Chen, Xufeng Yao, Xinyun Zhang, Bei Yu
By modeling the pixel grid as a graph, they first adopt GNN to predict the edge weights and then generate a minimum spanning tree (MST) based on the predictions, which is further used to construct the SFC.
no code implementations • 26 Sep 2021 • Junjun He, Jin Ye, Cheng Li, Diping Song, Wanli Chen, Shanshan Wang, Lixu Gu, Yu Qiao
Recent studies have witnessed the effectiveness of 3D convolutions on segmenting volumetric medical images.
no code implementations • ECCV 2020 • Wanli Chen, Xinge Zhu, Ruoqi Sun, Junjun He, Ruiyu Li, Xiaoyong Shen, Bei Yu
Then we use these rank-1 tensors to recover the high-rank context features through our proposed tensor reconstruction module (TRM).
no code implementations • 16 Dec 2019 • Haoyu Yang, Wei Zhong, Yuzhe ma, Hao Geng, Ran Chen, Wanli Chen, Bei Yu
VLSI mask optimization is one of the most critical stages in manufacturability aware design, which is costly due to the complicated mask optimization and lithography simulation.
no code implementations • 21 Jul 2018 • Yue Zhang, Wanli Chen, Yi-fan Chen, Xiaoying Tang
Random initialization is usally used to initialize the model weights in the U-net.
no code implementations • 12 Jul 2018 • Wanli Chen, Yue Zhang, Junjun He, Yu Qiao, Yi-fan Chen, Hongjian Shi, Xiaoying Tang
To address the aforementioned three problems, we propose and validate a deeper network that can fit medical image datasets that are usually small in the sample size.
no code implementations • 15 Apr 2018 • Yinheng Zhu, Wanli Chen, Xun Zhan, Zonglin Guo, Hongjian Shi, Ian G. Harris
Secondly, we use a CNN to evaluate the quality of each result.