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Large Scale GPS Trajectory Generation Using Map Based on Two Stage GAN

https://doi.org/10.6339/21-jds1004
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Understanding intra-urban trip patterns from taxi trajectory data
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FTS: a feature-preserving trajectory synthesis model
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Show and tell: A neural image caption generator
inferredcites →https://doi.org/10.1109/cvpr.2015.7298965openalex-snapshot
Fully convolutional networks for semantic segmentation
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Multi-Step Prediction of Occupancy Grid Maps With Recurrent Neural Networks
inferredcites →https://doi.org/10.1109/icde.2015.7113313openalex-snapshot
Personalized route recommendation using big trajectory data
inferredcites →https://doi.org/10.1109/iros40897.2019.8968553openalex-snapshot
INFER: INtermediate representations for FuturE pRediction
inferredcites →https://doi.org/10.1109/ivs.2008.4621214openalex-snapshot
Detection, prediction, and avoidance of dynamic obstacles in urban environments
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Estimating the Driving State of Oncoming Vehicles From a Moving Platform Using Stereo Vision
inferredcites →https://doi.org/10.1109/tvcg.2013.228openalex-snapshot
Visual Traffic Jam Analysis Based on Trajectory Data
inferredcites →https://doi.org/10.1145/3149808.3149809openalex-snapshot
Generating synthetic mobility traffic using RNNs
inferredcites →https://doi.org/10.1145/507338.507346openalex-snapshot
Conceptual modeling and specification generation for B2B business processes based on ebXML
inferredcites →https://doi.org/10.1145/601858.601867openalex-snapshot
Foundations of statistical natural language processing
inferredcites →https://doi.org/10.1162/neco.1997.9.8.1735openalex-snapshot
Long Short-Term Memory
inferredcites →https://doi.org/10.3115/v1/d14-1179openalex-snapshot
Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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