ST-LBAGAN: Spatio-temporal learnable bidirectional attention generative adversarial networks for missing traffic data imputation

[1]  Alex Graves,et al.  Conditional Image Generation with PixelCNN Decoders , 2016, NIPS.

[2]  Nima Tajbakhsh,et al.  UNet++: A Nested U-Net Architecture for Medical Image Segmentation , 2018, DLMIA/ML-CDS@MICCAI.

[3]  Yonghua Zhou,et al.  Parallel computing method of deep belief networks and its application to traffic flow prediction , 2019, Knowl. Based Syst..

[4]  Wojciech Zaremba,et al.  Improved Techniques for Training GANs , 2016, NIPS.

[5]  Yoshua Bengio,et al.  Generative Adversarial Nets , 2014, NIPS.

[6]  Yi Zhang,et al.  A BPCA based missing value imputing method for traffic flow volume data , 2008, 2008 IEEE Intelligent Vehicles Symposium.

[7]  Bin Ran,et al.  Missing Value Imputation for Traffic-Related Time Series Data Based on a Multi-View Learning Method , 2019, IEEE Transactions on Intelligent Transportation Systems.

[8]  Thomas Brox,et al.  U-Net: Convolutional Networks for Biomedical Image Segmentation , 2015, MICCAI.

[9]  Michael S. Bernstein,et al.  ImageNet Large Scale Visual Recognition Challenge , 2014, International Journal of Computer Vision.

[10]  Li Fei-Fei,et al.  Perceptual Losses for Real-Time Style Transfer and Super-Resolution , 2016, ECCV.

[11]  Ming Zhong,et al.  Matching Patterns for Updating Missing Values of Traffic Counts , 2006 .

[12]  Jun Wang,et al.  DMGAN: Discriminative Metric-based Generative Adversarial Networks , 2020, Knowl. Based Syst..

[13]  Yong Gao,et al.  Spatial Origin-Destination Flow Imputation Using Graph Convolutional Networks , 2020, IEEE Transactions on Intelligent Transportation Systems.

[14]  Yi Zhang,et al.  PPCA-Based Missing Data Imputation for Traffic Flow Volume: A Systematical Approach , 2009, IEEE Transactions on Intelligent Transportation Systems.

[15]  Fei-Yue Wang,et al.  An efficient realization of deep learning for traffic data imputation , 2016 .

[16]  Feng Lu,et al.  A Two-Step Method for Missing Spatio-Temporal Data Reconstruction , 2017, ISPRS Int. J. Geo Inf..

[17]  Zhaobin Liu,et al.  Imputation of Missing Traffic Data during Holiday Periods , 2008 .

[18]  Zhu Xiao,et al.  Short-term traffic volume prediction by ensemble learning in concept drifting environments , 2019, Knowl. Based Syst..

[19]  Mohammad Sohel Rahman,et al.  MultiResUNet : Rethinking the U-Net Architecture for Multimodal Biomedical Image Segmentation , 2019, Neural Networks.

[20]  Junbo Zhang,et al.  Flow Prediction in Spatio-Temporal Networks Based on Multitask Deep Learning , 2020, IEEE Transactions on Knowledge and Data Engineering.

[21]  Li Li,et al.  Missing traffic data: comparison of imputation methods , 2014 .

[22]  Linlin Zhu,et al.  Deeply Supervised Face Completion With Multi-Context Generative Adversarial Network , 2019, IEEE Signal Processing Letters.

[23]  Dan Wei,et al.  3D CNN-based Accurate Prediction for Large-scale Traffic Flow , 2019, 2019 4th International Conference on Intelligent Transportation Engineering (ICITE).

[24]  Ying Zhang,et al.  Multivariate Time Series Imputation with Generative Adversarial Networks , 2018, NeurIPS.

[25]  Yu Zheng,et al.  Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction , 2016, AAAI.

[26]  Cunqing Hua,et al.  Global Traffic State Recovery VIA Local Observations with Generative Adversarial Networks , 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[27]  Huajun Chen,et al.  Forecasting Public Transit Use by Crowdsensing and Semantic Trajectory Mining: Case Studies , 2016, ISPRS Int. J. Geo Inf..

[28]  Tong Zhang,et al.  An Integrated Fuzzy C-Means Method for Missing Data Imputation Using Taxi GPS Data , 2020, Sensors.

[29]  Yong Zhou,et al.  Appearance and shape based image synthesis by conditional variational generative adversarial network , 2020, Knowl. Based Syst..

[30]  Guangdong Feng,et al.  A Tensor Based Method for Missing Traffic Data Completion , 2013 .

[31]  Li Li,et al.  Efficient missing data imputing for traffic flow by considering temporal and spatial dependence , 2013 .

[32]  Zhimin Li,et al.  3D Convolutional Generative Adversarial Networks for Missing Traffic Data Completion , 2018, 2018 10th International Conference on Wireless Communications and Signal Processing (WCSP).

[33]  Song Gao,et al.  An Imputation Method for Missing Traffic Data Based on FCM Optimized by PSO-SVR , 2018 .