Generative Trajectory Prediction
Generative Trajectory Prediction is a trajectory prediction approach that belongs to the class of generative models by explicitly modeling the underlying probability distribution of future trajectories to capture multimodal predictions through latent variable representations.
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3.8K
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362
Authors
139
Institutions
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2017–2026
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Generative Adversarial Networks for Spatio-temporal Data: A Survey
Nan Gao, Hao Xue, Wei Shao et al. · ACM Transactions on Intelligent Systems and Technology · 2022 · 123 citations · Full text
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139

Southeast University
Nanjing, China
4 h-index
9 publications
268 citations

Chinese Academy of Sciences
Beijing, China
4 h-index
5 publications
156 citations
Stanford University
Stanford, United States
4 h-index
13 publications
1.1K citations

The University of Sydney
Sydney, Australia
4 h-index
13 publications
860 citations
Eindhoven University of Technology
Eindhoven, The Netherlands
4 h-index
7 publications
220 citations
Tongji University
Shanghai, China
4 h-index
13 publications
508 citations
Wuhan University of Technology
Wuhan, China
3 h-index
8 publications
280 citations
Carnegie Mellon University
Pittsburgh, United States
3 h-index
6 publications
246 citations
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Repository · 16 publications · 597 citations
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5 publications · 295 citations
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4 publications · 106 citations
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2 publications · 172 citations
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2 publications · 182 citations
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