19 citations · 21 across the 6 of their papers we have counts for
6 papers
Dual Windows Are Significant: Learning from Mediastinal Window and Focusing on Lung Window
Qiuli Wang, Xin Tan, Chen Liu
Since the pandemic of COVID-19, several deep learning methods were proposed to analyze the chest Computed Tomography (CT) for diagnosis. In the current situation, the disease cours…
Instance and Pair-Aware Dynamic Networks for Re-Identification
Bingliang Jiao, Xin Tan, Jinghao Zhou +3
Re-identification (ReID) is to identify the same instance across different cameras. Existing ReID methods mostly utilize alignment-based or attention-based strategies to generate e…
Boundary-Aware Geometric Encoding for Semantic Segmentation of Point Clouds
Jingyu Gong, Jiachen Xu, Xin Tan +4
Boundary information plays a significant role in 2D image segmentation, while usually being ignored in 3D point cloud segmentation where ambiguous features might be generated in fe…
Weakly-Supervised Saliency Detection via Salient Object Subitizing
Xiaoyang Zheng, Xin Tan, Jie Zhou +2
Salient object detection aims at detecting the most visually distinct objects and producing the corresponding masks. As the cost of pixel-level annotations is high, image tags are…
SceneEncoder: Scene-Aware Semantic Segmentation of Point Clouds with A Learnable Scene Descriptor
Jiachen Xu, Jingyu Gong, Jie Zhou +3
Besides local features, global information plays an essential role in semantic segmentation, while recent works usually fail to explicitly extract the meaningful global information…
A Testbed of Magnetic Induction-based Communication System for Underground Applications
Xin Tan, Zhi Sun, Ian F. Akyildiz
Wireless underground sensor networks (WUSNs) can enable many important applications such as intelligent agriculture, pipeline fault diagnosis, mine disaster rescue, concealed borde…