尹建芹（教授）
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- 博士生导师 硕士生导师
- 电子邮箱：
- 所在单位：智能工程与自动化学院
- 学历：研究生毕业
- 办公地点：创新楼302
- 性别：女
- 联系方式：jqyin@bupt.edu.cn
- 学位：博士学位
- 在职信息：在职
- 毕业院校：山东大学
- 学科：控制科学与工程
- 所属院系：智能工程与自动化学院
- 邮箱：
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- .Liu Xiaoli, Yin Jianqin*, Guo Di, Liu Huaping. Rich Action-semantic Consistent Knowledge for Early Action Prediction, IEEE Transactions on Image Processing, 2024.
- .Zhou Feng, Yin Jianqin*, Li Peiyang.Lifting by Image–Leveraging Image Cues for Accurate 3D Human Pose Estimation. AAAI2024.
- .Zhang Shaojie, Yin Jianqin*, Dang Yonghao, Fu Jiajun. SiT-MLP: A Simple MLP with Point-wise Topology Feature Learning for Skeleton-based Action Recognition, IEEE Transactions on Circuits and Systems for Video Technology, 2024
- .Jiang Yuanyuan, Yin Jianqin*. Leveraging the Video-level Semantic Consistency of Event for Audio-visual Event Localization [J]. IEEE Transactions on Multimedia, 2023.
- .Qi Chao, Yin Jianqin*, Niu Yingchun, Xu Jinghang. Neighborhood Spatial Aggregation MC Dropout for Efficient Uncertainty-aware Semantic Segmentation in Point Clouds[J]. IEEE Transactions on Geoscience and Remote Sensing, 2023.
- .Qi Chao, Yin Jianqin*.Instance-incremental Scene Graph Generation from Real-world Point Clouds via Normalizing Flows,IEEE Transactions on Circuits and Systems for Video Technology10.1109/TCSVT.2023.3289885.
- .Fu Jiajun, Yang Fuxing, Dang Yonghao, Liu Xiaoli, Yin Jianqin*. Learning Constrained Dynamic Correlations in Spatiotemporal Graphs for Motion Prediction. IEEE Transactions on Neural Network and Learning Systems.10.1109/TNNLS.2023.3277476. 2023.
- .Tang Jin, Zhang Jin, Ding Rui, Gu Baoxuan, Yin Jianqin. Collaborative Multi-dynamic Pattern Modeling for Human Motion Prediction. 2023. IEEE Transactions on Circuits and Systems for Video Technology,DOI 10.1109/TCSVT.2023.3239322
- .Dang Yonghao, Yin Jianqin*, Zhang Shaojie. Relation-Based Associative Joint Location for Human Pose Estimation in Videos. IEEE Transactions on Image Processing . 2022.
- .Shan An, Haogang Zhu, Jiaao Zhang, Junjie Ye, Siliang Wang, Jianqin Yin, Hong Zhang. Deep tri-training for semi-supervised image segmentation. IEEE Robotics Automation Letters, 2022, 7(4): 10097-10104