no code implementations • 22 Feb 2024 • Yan Xing, Pan Wang, Ligang Liu, Daolun Li, Li Zhang
We present a novel framework, called FrameNeRF, designed to apply off-the-shelf fast high-fidelity NeRF models with fast training speed and high rendering quality for few-shot novel view synthesis tasks.
no code implementations • 22 Jan 2024 • Rui Huang, Qingyi Zhao, Yan Xing, Sihua Gao, Weifeng Xu, Yuxiang Zhang, Wei Fan
SEFF utilizes saliency maps of the neighboring scales to enhance the necessary features for fusing, resulting in more representative fused features.
no code implementations • 26 Sep 2020 • Hongfeng You, Long Yu, Shengwei Tian, Xiang Ma, Yan Xing, Xiaojie Ma
To solve the above problems, in this paper, we propose a novel end-to-end semantic segmentation algorithm, DT-Net, and use two new convolution strategies to better achieve end-to-end semantic segmentation of medical images.
no code implementations • 25 Mar 2020 • Hongfeng You, Shengwei Tian, Long Yu, Xiang Ma, Yan Xing, Ning Xin
We use the output feature maps from the multiple max-pooling integration module as the input of the decoder network; the multiscale convolution of each submodule in the decoder network is cross-fused with the feature maps generated by the corresponding multiscale convolution in the encoder network.