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Human trajectory prediction is critical for autonomous platforms like self-driving cars or social robots.
Social force model for pedestrian dynamics
D. Helbing and P. Molnar · 1995
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Grade: Gibbs reaction and diffusion equations
Song Chun Zhu and David Mumford · 1998
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Filters, random fields and maximum entropy (FRAME): towards a unified theory for texture modeling
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Algorithms for inverse reinforcement learning
Andrew Y Ng and Stuart Russell · 2000
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Noise-contrastive estimation: A new estimation principle for unnormalized statistical models
Michael Gutmann and Aapo Hyvärinen · 2010
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MCMC using hamiltonian dynamics
Radford M Neal · 2011
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A multiple-goal reinforcement learning method for complex vehicle overtaking maneuvers
D. Ngai and N. Yung · 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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Auto-encoding variational bayes
Kingma Diederik and Welling Max · 2014
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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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Conditional generative adversarial nets
Mehdi Mirza and Simon Osindero · 2014
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Social lstm: Human trajectory prediction in crowded spaces
Alexandre Alahi, Kratarth Goel, Vignesh Ramanathan, Alexandre Robicquet, Li Fei-Fei, and Silvio Savarese · 2016
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A combined model and learning based framework for interaction-aware maneuver prediction
M. Bahram, C. Hubmann, A. Lawitzky, M. Aeberhard, and D. Wollherr · 2016
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Chelsea Finn, Paul F. Christiano, Pieter Abbeel, and Sergey Levine · 2016
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Guided cost learning: Deep inverse optimal control via policy optimization
Chelsea Finn, Sergey Levine, and Pieter Abbeel · 2016
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Generative adversarial imitation learning
Jonathan Ho and Stefano Ermon · 2016
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Learning social etiquette: Human trajectory understanding in crowded scenes
Alexandre Robicquet, Amir Sadeghian, Alexandre Alahi, and Silvio Savarese · 2016
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A theory of generative convnet
Jianwen Xie, Yang Lu, Song-Chun Zhu, and Ying Nian Wu · 2016
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Reinforcement learning with deep energy-based policies
Tuomas Haarnoja, Haoran Tang, Pieter Abbeel, and Sergey Levine · 2017
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Imitating driver behavior with generative adversarial networks
A. Kuefler, J. Morton, T. Wheeler, and M. Kochenderfer · 2017
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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
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Forecasting interactive dynamics of pedestrians with fictitious play
Wei-Chiu Ma, De-An Huang, Namhoon Lee, and Kris M. Kitani · 2017
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Car-net: Clairvoyant attentive recurrent network
A. Sadeghian, F. Legros, M. Voisin, R. Vesel, A. Alahi, and S. Savarese · 2017
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Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Lukasz Kaiser, and Illia Polosukhin · 2017
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N. Deo, A. Rangesh, and M. M. Trivedi · 2018
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Convolutional social pooling for vehicle trajectory prediction
Nachiket Deo and Mohan M. Trivedi · 2018
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Multi-modal trajectory prediction of surrounding vehicles with maneuver based lstms
Nachiket Deo and Mohan M. Trivedi · 2018
Yifei Xu, Tianyang Zhao, Chris L. Baker, Yibiao Zhao, and Ying Nian Wu · 2019
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Stochastic trajectory prediction with social graph network
Lidan Zhang, Qi She, and Ping Guo · 2019
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Sr-lstm: State refinement for lstm towards pedestrian trajectory prediction
Pu Zhang, Wanli Ouyang, Pengfei Zhang, Jianru Xue, and Nanning Zheng · 2019
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Multi-agent tensor fusion for contextual trajectory prediction
Tianyang Zhao, Yifei Xu, Mathew Monfort, Wongun Choi, Chris Baker, Yibiao Zhao, Yizhou Wang, and Ying Nian Wu · 2019
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Trajectory forecasts in unknown environments conditioned on grid-based plans
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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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MX-LSTM: mixing tracklets and vislets to jointly forecast trajectories and head poses
Irtiza Hasan, Francesco Setti, Theodore Tsesmelis, Alessio Del Bue, Fabio Galasso, and Marco Cristani · 2018
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R2p2: A reparameterized pushforward policy for diverse, precise generative path forecasting
Nicholas Rhinehart, Kris Kitani, and Paul Vernaza · 2018
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Reinforcement learning: An introduction
Richard S Sutton and Andrew G Barto · 2018
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Social attention: Modeling attention in human crowds
Anirudh Vemula, Katharina Muelling, and Jean Oh · 2018
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Conditional flow variational autoencoders for structured sequence prediction
Apratim Bhattacharyya, Michael Hanselmann, Mario Fritz, Bernt Schiele, and Christoph-Nikolas Straehle · 2019
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Implicit generation and generalization in energy-based models
Yilun Du and Igor Mordatch · 2019
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Nachiket Deo and Mohan M Trivedi · 2020
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Ssp: Single shot future trajectory prediction
Isht Dwivedi, Srikanth Malla, Behzad Dariush, and Chiho Choi · 2020
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Transformer networks for trajectory forecasting, 2020
Francesco Giuliari, Irtiza Hasan, Marco Cristani, and Fabio Galasso · 2020
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Joint training of variational auto-encoder and latent energy-based model
Tian Han, Erik Nijkamp, Linqi Zhou, Bo Pang, Song-Chun Zhu, and Ying Nian Wu · 2020
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Evolvegraph: Multi-agent trajectory prediction with dynamic relational reasoning
Jiachen Li, Fan Yang, Masayoshi Tomizuka, and Chiho Choi · 2020
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Simaug: Learning robust representations from simulation for trajectory prediction
Junwei Liang, Lu Jiang, and Alexander Hauptmann · 2020
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The garden of forking paths: Towards multi-future trajectory prediction
Junwei Liang, Lu Jiang, Kevin Murphy, Ting Yu, and Alexander Hauptmann · 2020
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It is not the journey but the destination: Endpoint conditioned trajectory prediction
Karttikeya Mangalam, Harshayu Girase, Shreyas Agarwal, Kuan-Hui Lee, Ehsan Adeli, Jitendra Malik, and Adrien Gaidon · 2020
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Social-stgcnn: A social spatio-temporal graph convolutional neural network for human trajectory prediction
Abduallah Mohamed, Kun Qian, Mohamed Elhoseiny, and Christian Claudel · 2020
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Learning multi-layer latent variable model via variational optimization of short run mcmc for approximate inference, 2020
Erik Nijkamp, Bo Pang, Tian Han, Linqi Zhou, Song-Chun Zhu, and Ying Nian Wu · 2020
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Learning latent space energy-based prior model
Bo Pang, Tian Han, Erik Nijkamp, Song-Chun Zhu, and Ying Nian Wu · 2020
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Learning latent space energy-based prior model for molecule generation
Bo Pang, Tian Han, and Ying Nian Wu · 2020
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Semi-supervised learning by latent space energy-based model of symbol-vector coupling
Bo Pang, Erik Nijkamp, Jiali Cui, Tian Han, and Ying Nian Wu · 2020
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Covernet: Multimodal behavior prediction using trajectory sets
Tung Phan-Minh, Elena Corina Grigore, Freddy A. Boulton, Oscar Beijbom, and Eric M. Wolff · 2020
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Imitative non-autoregressive modeling for trajectory forecasting and imputation
Mengshi Qi, Jie Qin, Yu Wu, and Yi Yang · 2020
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Human motion trajectory prediction: A survey
Andrey Rudenko, Luigi Palmieri, Michael Herman, Kris M Kitani, Dariu M Gavrila, and Kai O Arras · 2020
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Trajectron++: Dynamically-feasible trajectory forecasting with heterogeneous data
Tim Salzmann, Boris Ivanovic, Punarjay Chakravarty, and Marco Pavone · 2020
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Motionnet: Joint perception and motion prediction for autonomous driving based on bird’s eye view maps
Pengxiang Wu, Siheng Chen, and Dimitris N. Metaxas · 2020
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