标签: 论文 Article 共 5 篇文章 All 学术交流 Academic Activities 论文 Article 多目标跟踪 MOT 医学图像 Medical Image 数据融合 Data Fusion 自主运动 Ego-motion 无监督学习 Unsupervised Learning 目标检测 Object Detection 行人分割 Person Segmentation 行人重识别 Person re-identification 注意力机制 Attention 动作识别 Action Recognition 三维 3D 自动驾驶 Automatic Driving 图神经网络 GNN 同步定位与地图绘制 SLAM 裂缝检测 Crack Detection 单目标跟踪 Single-object Tracking 多模态 CLIP 2021-02-01 Kaiying Zhu, Xiaoyan Jiang, Zhijun Fang, Yongbin Gao etc, Jenq-Neng Hwang,Photometric transfer for direct visual odometry,Knowledge-Based Systems,2021 2020-12-31 Lingyu Ji, Xiaoyan Jiang, Yongbin Gao, Zhijun Fang,“ADR‐Net:Context extraction network based on M‐Net for medical image segmentation” Medical Physics 2020-03-01 Yang Li, Xiaoyan Jiang, Jenq-Neng Hwang,Effective person re-identification by self-attention model guided feature learning,Knowledge-Based Systems 2019-12-31 Anjie Wan, Yongbin Gao, Xiaoyan Jiang etc “Unsupervised learning of depth and ego-motion with spatial-temporal geometric constraints” IEEE International Conference on Multimedia and Expo (ICME) 2019-12-31 Xiaoyan Jiang and Yongbin Gao and Zhijun Fang and Bo Huang“An End-to-End Human Segmentation by Region Proposed Fully Convolutional Network” IEEE Access
2021-02-01 Kaiying Zhu, Xiaoyan Jiang, Zhijun Fang, Yongbin Gao etc, Jenq-Neng Hwang,Photometric transfer for direct visual odometry,Knowledge-Based Systems,2021
2020-12-31 Lingyu Ji, Xiaoyan Jiang, Yongbin Gao, Zhijun Fang,“ADR‐Net:Context extraction network based on M‐Net for medical image segmentation” Medical Physics
2020-03-01 Yang Li, Xiaoyan Jiang, Jenq-Neng Hwang,Effective person re-identification by self-attention model guided feature learning,Knowledge-Based Systems
2019-12-31 Anjie Wan, Yongbin Gao, Xiaoyan Jiang etc “Unsupervised learning of depth and ego-motion with spatial-temporal geometric constraints” IEEE International Conference on Multimedia and Expo (ICME)
2019-12-31 Xiaoyan Jiang and Yongbin Gao and Zhijun Fang and Bo Huang“An End-to-End Human Segmentation by Region Proposed Fully Convolutional Network” IEEE Access
