中国科学院计算技术研究所机构知识库

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	DTDNet: Dynamic Target Driven Network for pedestrian trajectory prediction 期刊论文 FRONTIERS IN NEUROSCIENCE, 2024, 卷号: 18, 页码: 11 作者:  Liu, Shaohua;  Sun, Jingkai;  Yao, Pengfei;  Zhu, Yinglong;  Mao, Tianlu;  Wang, Zhaoqi 收藏  |  浏览/下载：1/0  |  提交时间：2024/12/06 multimodal trajectory prediction  pedestrian intention prediction  multi-precision motion prediction  multi-task neural network  trajectory endpoint prediction
	A Fusion Crowd Simulation Method: Integrating Data with Dynamics, Personality with Common 期刊论文 COMPUTER GRAPHICS FORUM, 2022, 卷号: 41, 期号: 8, 页码: 131-142 作者:  Mao, Tianlu;  Wang, Ji;  Meng, Ruoyu;  Yan, Qinyuan;  Liu, Shaohua;  Wang, Zhaoqi 收藏  |  浏览/下载：14/0  |  提交时间：2023/12/04
	Data-driven based double-layer bicycle simulation model 期刊论文 COMPUTER ANIMATION AND VIRTUAL WORLDS, 2022, 页码: 17 作者:  Mao, Tianlu;  Fang, Zhong;  Yan, Qinyuan;  Meng, Ruoyu;  Liu, Shaohua;  Wang, Zhaoqi 收藏  |  浏览/下载：31/0  |  提交时间：2022/12/07 bicycle simulation  data-driven  double-wheel kinematic
	MDST-DGCN: A Multilevel Dynamic Spatiotemporal Directed Graph Convolutional Network for Pedestrian Trajectory Prediction 期刊论文 COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, 2022, 卷号: 2022, 页码: 10 作者:  Liu, Shaohua;  Liu, Haibo;  Wang, Yisu;  Sun, Jingkai;  Mao, Tianlu 收藏  |  浏览/下载：24/0  |  提交时间：2022/12/07
	Multicomponent Spatial-Temporal Graph Attention Convolution Networks for Traffic Prediction with Spatially Sparse Data 期刊论文 COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, 2021, 卷号: 2021, 页码: 12 作者:  Liu, Shaohua;  Dai, Shijun;  Sun, Jingkai;  Mao, Tianlu;  Zhao, Junsuo;  Zhang, Heng 收藏  |  浏览/下载：29/0  |  提交时间：2022/12/07
	CoL-GAN: Plausible and Collision-Less Trajectory Prediction by Attention-Based GAN 期刊论文 IEEE ACCESS, 2020, 卷号: 8, 页码: 101662-101671 作者:  Liu, Shaohua;  Liu, Haibo;  Bi, Huikun;  Mao, Tianlu 收藏  |  浏览/下载：59/0  |  提交时间：2020/12/10 Trajectory  Generative adversarial networks  Gallium nitride  Predictive models  Collision avoidance  Decoding  Generators  Trajectory prediction  generative adversarial network  deep learning
	Image-Based Rendering for Large-Scale Outdoor Scenes With Fusion of Monocular and Multi-View Stereo Depth 期刊论文 IEEE ACCESS, 2020, 卷号: 8, 页码: 117551-117565 作者:  Liu, Shaohua;  Li, Minghao;  Zhang, Xiaona;  Liu, Shuang;  Li, Zhaoxin;  Liu, Jing;  Mao, Tianlu 收藏  |  浏览/下载：319/0  |  提交时间：2020/12/10 Image-based rendering  multi-view stereo  monocular depth estimation  view synthesis  outdoor scenes