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An Attention-Based Interaction-Aware Spatio-Temporal Graph Neural Network for Trajectory Prediction.

H. Zhou, D. Ren, H. Xia, M. Fan, X. Yang, и H. Huang. ICONIP (5), том 1333 из Communications in Computer and Information Science, стр. 38-45. Springer, (2020)

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Ling Ren

Jun Ren

Xinguo Ren

Xiaofeng Ren

Ke Ren

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An Efficient Generation Method based on Dynamic Curvature of the Reference Curve for Robust Trajectory Planning.Y. Sun, D. Ren, S. Lian, M. Fan, и X. Teng. CoRR, (2020)Safety-based Reinforcement Learning Longitudinal Decision for Autonomous Driving in Crosswalk Scenarios.F. Xiong, D. Ren, M. Fan, S. Ding, и Z. Liu. IJCNN, стр. 1-8. IEEE, (2022)CSIR: Cascaded Sliding CVAEs With Iterative Socially-Aware Rethinking for Trajectory Prediction.H. Zhou, X. Yang, D. Ren, H. Huang, и M. Fan. IEEE Trans. Intell. Transp. Syst., 24 (12): 14957-14969 (декабря 2023)CORE: Consistent Representation Learning for Face Forgery Detection.Y. Ni, D. Meng, C. Yu, C. Quan, D. Ren, и Y. Zhao. CVPR Workshops, стр. 12-21. IEEE, (2022)AST-GNN: An attention-based spatio-temporal graph neural network for Interaction-aware pedestrian trajectory prediction.H. Zhou, D. Ren, H. Xia, M. Fan, X. Yang, и H. Huang. Neurocomputing, (2021)CSR: Cascade Conditional Variational Auto Encoder with Socially-aware Regression for Pedestrian Trajectory Prediction.H. Zhou, D. Ren, X. Yang, M. Fan, и H. Huang. Pattern Recognit., (2023)GANet: Goal Area Network for Motion Forecasting.M. Wang, X. Zhu, C. Yu, W. Li, Y. Ma, R. Jin, X. Ren, D. Ren, M. Wang, и W. Yang. ICRA, стр. 1609-1615. IEEE, (2023)Knowledge-Experience Graph with Denoising Autoencoder for Zero-Shot Learning in Visual Cognitive Development.X. Zhang, X. Yang, Z. Liu, L. Zhang, D. Ren, и M. Fan. ICONIP (5), том 1333 из Communications in Computer and Information Science, стр. 121-129. Springer, (2020)StarNet: Pedestrian Trajectory Prediction using Deep Neural Network in Star Topology.Y. Zhu, D. Qian, D. Ren, и H. Xia. IROS, стр. 8075-8080. IEEE, (2019)End-to-End Learning Driver Policy using Moments Deep Neural Network.D. Qian, D. Ren, Y. Meng, Y. Zhu, S. Ding, S. Fu, Z. Wang, и H. Xia. ROBIO, стр. 1533-1538. IEEE, (2018)

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