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Predicting the future trajectories of multiple interacting agents in a scene has become an increasingly important problem for many different applications ranging from control of autonomous vehicles and social robots to security and surveillance.
Social force model for pedestrian dynamics
Dirk Helbing and Peter Molnar · 1995
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Alon Lerner, Yiorgos Chrysanthou, and Dani Lischinski · 2007
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A survey of vision-based trajectory learning and analysis for surveillance
Brendan Tran Morris and Mohan Manubhai Trivedi · 2008
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You’ll never walk alone: Modeling social behavior for multi-target tracking
Stefano Pellegrini, Andreas Ess, Konrad Schindler, and Luc Van Gool · 2009
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Abnormal crowd behavior detection using social force model
Ramin Mehran, Alexis Oyama, and Mubarak Shah · 2009
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Improving data association by joint modeling of pedestrian trajectories and groupings
Stefano Pellegrini, Andreas Ess, and Luc Van Gool · 2010
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A large-scale benchmark dataset for event recognition in surveillance video
Sangmin Oh, Anthony Hoogs, Amitha Perera, Naresh Cuntoor, Chia-Chih Chen, Jong Taek Lee, Saurajit Mukherjee, JK Aggarwal, Hyungtae Lee, Larry Davis, et al · 2011
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Activity forecasting
Kris M Kitani, Brian D Ziebart, James Andrew Bagnell, and Martial Hebert · 2012
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An assistive household robot–doing more than just cleaning
Julia Kantorovitch, Janne Väre, Vesa Pehkonen, Arto Laikari, and Heikki Seppälä · 2014
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Video surveillance and counterterrorism: the application of suspicious activity recognition in visual surveillance systems to counterterrorism
Nick Mould, James L Regens, Carl J Jensen III, and David N Edger · 2014
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Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
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Socially-aware large-scale crowd forecasting
Alexandre Alahi, Vignesh Ramanathan, and Li Fei-Fei · 2014
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Conditional generative adversarial nets
Mehdi Mirza and Simon Osindero · 2014
Cited alongside, same era.
Show, attend and tell: Neural image caption generation with visual attention
Kelvin Xu, Jimmy Ba, Ryan Kiros, Kyunghyun Cho, Aaron Courville, Ruslan Salakhudinov, Rich Zemel, and Yoshua Bengio · 2015
Cited alongside, same era.
Autonomous exploration, active learning and human guidance with open-source poppy humanoid robot platform and explauto library
Sébastien Forestier, Yoan Mollard, Damien Caselli, and Pierre-Yves Oudeyer · 2016
Cited alongside, same era.
Social lstm: Human trajectory prediction in crowded spaces
Alexandre Alahi, Kratarth Goel, Vignesh Ramanathan, Alexandre Robicquet, Li Fei-Fei, and Silvio Savarese · 2016
Cited alongside, same era.
Knowledge transfer for scene-specific motion prediction
Lamberto Ballan, Francesco Castaldo, Alexandre Alahi, Francesco Palmieri, and Silvio Savarese · 2016
Cited alongside, same era.
Semi-supervised classification with graph convolutional networks
Thomas N. Kipf and Max Welling · 2017
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Image-to-image translation with conditional adversarial networks
Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, and Alexei A. Efros · 2017
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Unpaired image-to-image translation using cycle-consistent adversarial networks
Jun-Yan Zhu, Taesung Park, Phillip Isola, and Alexei A. Efros · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin · 2017
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Real-world anomaly detection in surveillance videos
Waqas Sultani, Chen Chen, and Mubarak Shah · 2018
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"seeing is believing": Pedestrian trajectory forecasting using visual frustum of attention
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Learning social etiquette: Human trajectory understanding in crowded scenes
Alexandre Robicquet, Amir Sadeghian, Alexandre Alahi, and Silvio Savarese · 2016
Cited alongside, same era.
Infogan: Interpretable representation learning by information maximizing generative adversarial nets
Xi Chen, Yan Duan, Rein Houthooft, John Schulman, Ilya Sutskever, and Pieter Abbeel · 2016
Cited alongside, same era.
Social scene understanding: End-to-end multi-person action localization and collective activity recognition
Timur M. Bagautdinov, Alexandre Alahi, François Fleuret, Pascal Fua, and Silvio Savarese · 2017
Cited alongside, same era.
Forecasting interactive dynamics of pedestrians with fictitious play
Wei-Chiu Ma, De-An Huang, Namhoon Lee, and Kris M. Kitani · 2017
Cited alongside, same era.
Desire: Distant future prediction in dynamic scenes with interacting agents
Namhoon Lee, Wongun Choi, Paul Vernaza, Christopher B Choy, Philip HS Torr, and Manmohan Chandraker · 2017
Cited alongside, same era.
Car-net: Clairvoyant attentive recurrent network
Amir Sadeghian, Ferdinand Legros, Maxime Voisin, Ricky Vesel, Alexandre Alahi, and Silvio Savarese · 2017
Cited alongside, same era.
Context-aware trajectory prediction
Federico Bartoli, Giuseppe Lisanti, Lamberto Ballan, and Alberto Del Bimbo · 2017
Cited alongside, same era.
Irtiza Hasan, Francesco Setti, Theodore Tsesmelis, Alessio Del Bue, Marco Cristani, and Fabio Galasso · 2018
Later among the works it cites.
Social gan: Socially acceptable trajectories with generative adversarial networks
Agrim Gupta, Justin Johnson, Li Fei-Fei, Silvio Savarese, and Alexandre Alahi · 2018
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Petar Velickovic, Guillem Cucurull, Arantxa Casanova, Alejandro Romero, Pietro Lió, and Yoshua Bengio · 2018
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Particle-based pedestrian path prediction using lstm-mdl models
Ronny Hug, Stefan Becker, Wolfgang Hübner, and Michael Arens · 2018
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SoPhie: An attentive GAN for predicting paths compliant to social and physical constraints
Amir Sadeghian, Vineet Kosaraju, Ali Sadeghian, Noriaki Hirose, Hamid Rezatofighi, and Silvio Savarese · 2019
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Social ways: Learning multi-modal distributions of pedestrian trajectories with gans
Javad Amirian, Jean-Bernard Hayet, and Julien Pettré · 2019
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