人群分析
Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction
https://www.microsoft.com/en-us/research/publication/deep-spatio-temporal-residual-networks-for-citywide-crowd-flows-prediction/ (https://www.microsoft.com/en-us/research/publication/deep-spatio-temporal-residual-networks-for-citywide-crowd-flows-prediction/" \t "_blank)
https://github.com/lucktroy/DeepST/tree/master/scripts/papers/AAAI17 (https://github.com/lucktroy/DeepST/tree/master/scripts/papers/AAAI17" \t "_blank)
Temporal Segment Networks: Towards Good Practices for Deep Action Recognition ECCV2016
https://github.com/yjxiong/temporal-segment-networks (https://github.com/yjxiong/temporal-segment-networks" \t "_blank)
Towards Good Practices for Very Deep Two-stream ConvNets
http://yjxiong.me/others/action_recog/ (http://yjxiong.me/others/action_recog/" \t "_blank)
https://github.com/yjxiong/caffe (https://github.com/yjxiong
https//"_blank/Deep/github.com/Practices/Good/works/wide-crowd-flows-prediction/works-for-city/
https//"_blank/Deep/github.com/Practices/Good/works/wide-crowd-flows-prediction/works-for-city/
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