temporal edge指的是t时刻和t+1时刻的连接,spatial-temporal edge指的是同一时刻节点之间的连接关系(不明白temporal体现在哪里) 将s-t图转换成对应的RNN混合体有两个问题: 1) 要尽可能的包含更多的内容,以拟合更丰富的活动 2) 模型不能过大,参数不能过多, 具体来做就是每一个节点和关系都用一个RNN来表示,...
Spatial: CNN Temporal: RNN CLTFP (2016, Wu&Tan, LSTM+1D-CNN) Convolutional LSTM (2015, Shi) --only grid structures, RNN is difficult to train Spatial: graph, Temporal: Conv Spatio-temporal convolutional networks 2 Preliminary 2.1 Traffic Prediction on Road Graphs Traffic forecast: v^t+1,…...
In this paper, we propose a novel deep learning framework, Spatio-Temporal Graph Convolutional Networks (STGCN), to tackle the time series prediction problem in traffic domain. Instead of applying regular convolutional and recurrent units, we formulate the problem on graphs and build the ...
Self-Supervised Learning via Conditional Motion Propagation [cvpr19] [pytorch] A Neural Temporal Model for Human Motion Prediction [cvpr19] [tensorflow] Learning Trajectory Dependencies for Human Motion Prediction [iccv19] [pytorch] Structural-RNN: Deep Learning on Spatio-Temporal Graphs [cvpr15] [te...
Structural-RNN: Deep Learning on Spatio-Temporal Graphs. arXiv 2015, arXiv:1511.05298. [Google Scholar] Fragkiadaki, K.; Levine, S.; Felsen, P.; Malik, J. Recurrent network models for human dynamics. In Proceedings of the IEEE International Conference on Computer Vision, Santiago, Chile, ...
The environment and development are major issues of general concern. After much suffering from the harm of environmental pollution, human beings began to pay attention to environmental protection and started to carry out pollutant prediction research. A
1.3 Node Representation Learning in Dynamic Graphs Know-evolve: Deep temporal reasoning for dynamic knowledge graphs Rakshit Trivedi, Hanjun Dai, Yichen Wang, Le Song ICML 2017 Dyngem: Deep embedding method for dynamic graphs Palash Goyal, Nitin Kamra, Xinran He, Yan Liu ICLR 2017 Workshop At...
Structural-rnn: Deep learning on spatio-temporal graphs.Ashesh Jain, Amir R. Zamir, Silvio Savarese, Ashutosh Saxena.CVPR 2016. paper Deep multi-view spatial-temporal network for taxi.Huaxiu Yao, Fei Wu, Jintao Ke, Xianfeng Tang, Yitian Jia, Siyu Lu, Pinghua Gong, Jieping Ye, Zhenhui Li...
spatio-temporal fields measured on a set of irregular points in space is still under-investigated. To fill this gap, we introduce here a framework for spatio-temporal prediction of climate and environmental data using deep learning. Specifically, we show how spatio-temporal processes can be ...
Jain, A.; Zamir, A.R.; Savarese, S.; Saxena, A. Structural-RNN: Deep Learning on Spatio-Temporal Graphs. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, CVPR, Las Vegas, NV, USA, 27–30 June 2016. [Google Scholar] ...