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This paper proposes a novel approach for predicting the motion of pedestrians interacting with others.
Crowds by example
A. Lerner, Y. Chrysanthou, and D. Lischinski · 2007
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You’ll never walk alone: Modeling social behavior for multi-target tracking
S. Pellegrini, A. Ess, K. Schindler, and L. van Gool · 2009
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Reciprocal n-body collision avoidance
J. van den Berg, S. J. Guy, M. Lin, and D. Manocha · 2011
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Who are you with and where are you going?
K. Yamaguchi, A. C. Berg, L. E. Ortiz, and T. L. Berg · 2011
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Generative adversarial nets
I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio · 2014
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Towards end-to-end speech recognition with recurrent neural networks
A. Graves and N. Jaitly · 2014
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Will the pedestrian cross? a study on pedestrian path prediction
C. G. Keller and D. Gavrila · 2014
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Context-based pedestrian path prediction
J. F. P. Kooij, N. Schneider, F. Flohr, and D. Gavrila · 2014
Earlier work this paper cites.
Learning an image-based motion context for multiple people tracking
L. Leal-Taixé, M. Fenzi, A. Kuznetsova, B. Rosenhahn, and S. Savarese · 2014
Cited alongside, same era.
Robot navigation in dense human crowds: Statistical models and experimental studies of human-robot cooperation
P. Trautman, J. Ma, R. M. Murray, and A. Krause · 2015
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Social lstm: Human trajectory prediction in crowded spaces
A. Alahi, K. Goel, V. Ramanathan, A. Robicquet, L. Fei-Fei, and S. Savarese · 2016
Cited alongside, same era.
Infogan: Interpretable representation learning by information maximizing generative adversarial nets
X. Chen, Y. Duan, R. Houthooft, J. Schulman, I. Sutskever, and P. Abbeel · 2016
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Learning social etiquette: Human trajectory understanding in crowded scenes
A. Robicquet, A. Sadeghian, A. Alahi, and S. Savarese · 2016
Cited alongside, same era.
Forecast the plausible paths in crowd scenes
H. Su, J. Zhu, Y. Dong, and B. Zhang · 2017
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Social gan: Socially acceptable trajectories with generative adversarial networks
A. Gupta, J. Johnson, L. Fei-Fei, S. Savarese, and A. Alahi · 2018
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A data-driven model for interaction-aware pedestrian motion prediction in object cluttered environments
M. Pfeiffer, G. Paolo, H. Sommer, J. I. Nieto, R. Siegwart, and C. Cadena · 2018
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Sophie: An attentive gan for predicting paths compliant to social and physical constraints
A. Sadeghian, V. Kosaraju, A. Sadeghian, N. Hirose, and S. Savarese · 2018
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Social attention: Modeling attention in human crowds
A. Vemula, K. Muelling, and J. Oh · 2018
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D. Berthelot, T. Schumm, and L. Metz · 2017
Cited alongside, same era.
Desire: Distant future prediction in dynamic scenes with interacting agents
N. Lee, W. Choi, P. Vernaza, C. B. Choy, P. H. S. Torr, and M. Chandraker · 2017
Cited alongside, same era.
Unrolled generative adversarial networks
L. Metz, B. Poole, D. Pfau, and J. Sohl-Dickstein · 2017
Cited alongside, same era.
Q. Xu, G. Huang, Y. Yuan, C. Guo, Y. Sun, F. Wu, and K. Weinberger · 2018
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Encoding crowd interaction with deep neural network for pedestrian trajectory prediction
Y. Xu, Z. Piao, and S. Gao · 2018
Later among the works it cites.