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Joint forecasting of human trajectory and pose dynamics is a fundamental building block of various applications ranging from robotics and autonomous driving to surveillance systems.
Social force model for pedestrian dynamics
Dirk Helbing and Peter Molnar · 1995
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A consistent metric for performance evaluation of multi-object filters
Dominic Schuhmacher, Ba-Tuong Vo, and Ba-Ngu Vo · 2008
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Gaussian process dynamical models for human motion
Jack M Wang, David J Fleet, and Aaron Hertzmann · 2008
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Curriculum learning
Yoshua Bengio, Jérôme Louradour, Ronan Collobert, and Jason Weston · 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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Who are you with and where are you going?
Kota Yamaguchi, Alexander C Berg, Luis E Ortiz, and Tamara L Berg · 2011
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Socially-aware large-scale crowd forecasting
Alexandre Alahi, Vignesh Ramanathan, and Li Fei-Fei · 2014
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Human3.6M: Large scale datasets and predictive methods for 3d human sensing in natural environments
Catalin Ionescu, Dragos Papava, Vlad Olaru, and Cristian Sminchisescu · 2014
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Leveraging hierarchical parametric networks for skeletal joints based action segmentation and recognition
Di Wu and Ling Shao · 2014
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Recurrent network models for human dynamics
Katerina Fragkiadaki, Sergey Levine, Panna Felsen, and Jitendra Malik · 2015
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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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Generative adversarial imitation learning
Jonathan Ho and Stefano Ermon · 2016
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Structural-rnn: Deep learning on spatio-temporal graphs
Ashesh Jain, Amir R Zamir, Silvio Savarese, and Ashutosh Saxena · 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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Quo vadis, action recognition? a new model and the kinetics dataset
Joao Carreira and Andrew Zisserman · 2017
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Forecasting human dynamics from static images
Yu-Wei Chao, Jimei Yang, Brian Price, Scott Cohen, and Jia Deng · 2017
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Soft+ hardwired attention: An lstm framework for human trajectory prediction and abnormal event detection
Tharindu Fernando, Simon Denman, Sridha Sridharan, and Clinton Fookes · 2017
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Learning human motion models for long-term predictions
Partha Ghosh, Jie Song, Emre Aksan, and Otmar Hilliges · 2017
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Neural message passing for quantum chemistry
Justin Gilmer, Samuel S Schoenholz, Patrick F Riley, Oriol Vinyals, and George E Dahl · 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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On human motion prediction using recurrent neural networks
Julieta Martinez, Michael J. Black, and Javier Romero · 2017
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A simple yet effective baseline for 3d human pose estimation
Julieta Martinez, Rayat Hossain, Javier Romero, and James J Little · 2017
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Online trajectory prediction and planning for social robot navigation
Christoph Rösmann, Malte Oeljeklaus, Frank Hoffmann, and Torsten Bertram · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
Cited alongside, same era.
The pose knows: Video forecasting by generating pose futures
Jacob Walker, Kenneth Marino, Abhinav Gupta, and Martial Hebert · 2017
Cited alongside, same era.
Posetrack: A benchmark for human pose estimation and tracking
Mykhaylo Andriluka, Umar Iqbal, Eldar Insafutdinov, Leonid Pishchulin, Anton Milan, Juergen Gall, and Bernt Schiele · 2018
Cited alongside, same era.
Hp-gan: Probabilistic 3d human motion prediction via gan
Emad Barsoum, John Kender, and Zicheng Liu · 2018
Cited alongside, same era.
Social gan: Socially acceptable trajectories with generative adversarial networks
Agrim Gupta, Justin Johnson, Li Fei-Fei, Silvio Savarese, and Alexandre Alahi · 2018
Cited alongside, same era.
Social gan: Socially acceptable trajectories with generative adversarial networks
Socially and contextually aware human motion and pose forecasting
Vida Adeli, Ehsan Adeli, Ian Reid, Juan Carlos Niebles, and Hamid Rezatofighi · 2020
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A spatio-temporal transformer for 3d human motion prediction
Emre Aksan, Peng Cao, Manuel Kaufmann, and Otmar Hilliges · 2020
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A stochastic conditioning scheme for diverse human motion prediction
Sadegh Aliakbarian, Fatemeh Sadat Saleh, Mathieu Salzmann, Lars Petersson, and Stephen Gould · 2020
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Learning progressive joint propagation for human motion prediction
Yujun Cai, Lin Huang, Yiwei Wang, Tat-Jen Cham, Jianfei Cai, Junsong Yuan, Jun Liu, Xu Yang, Yiheng Zhu, Xiaohui Shen, et al · 2020
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Long-term human motion prediction with scene context
Zhe Cao, Hang Gao, Karttikeya Mangalam, Qi-Zhi Cai, Minh Vo, and Jitendra Malik · 2020
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Context-aware human motion prediction
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Agrim Gupta, Justin Johnson, Li Fei-Fei, Silvio Savarese, and Alexandre Alahi · 2018
Cited alongside, same era.
Future frame prediction for anomaly detection–a new baseline
Wen Liu, Weixin Luo, Dongze Lian, and Shenghua Gao · 2018
Cited alongside, same era.
Graph attention networks
Petar Veličković, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Lio, and Yoshua Bengio · 2018
Cited alongside, same era.
Recovering accurate 3d human pose in the wild using imus and a moving camera
Timo von Marcard, Roberto Henschel, Michael J Black, Bodo Rosenhahn, and Gerard Pons-Moll · 2018
Cited alongside, same era.
Mt-vae: Learning motion transformations to generate multimodal human dynamics
Xinchen Yan, Akash Rastogi, Ruben Villegas, Kalyan Sunkavalli, Eli Shechtman, Sunil Hadap, Ersin Yumer, and Honglak Lee · 2018
Cited alongside, same era.
Auto-conditioned recurrent networks for extended complex human motion synthesis
Yi Zhou, Zimo Li, Shuangjiu Xiao, Chong He, Zeng Huang, and Hao Li · 2018
Cited alongside, same era.
Social ways: Learning multi-modal distributions of pedestrian trajectories with gans
Javad Amirian, Jean-Bernard Hayet, and Julien Pettré · 2019
Cited alongside, same era.
Enric Corona, Albert Pumarola, Guillem Alenya, and Francesc Moreno-Noguer · 2020
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Tpnet: Trajectory proposal network for motion prediction
Liangji Fang, Qinhong Jiang, Jianping Shi, and Bolei Zhou · 2020
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Transformer networks for trajectory forecasting
Francesco Giuliari, Irtiza Hasan, Marco Cristani, and Fabio Galasso · 2020
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Collaborative motion prediction via neural motion message passing
Yue Hu, Siheng Chen, Ya Zhang, and Xiao Gu · 2020
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Deep neural networks enable quantitative movement analysis using single-camera videos
Łukasz Kidziński, Bryan Yang, Jennifer L Hicks, Apoorva Rajagopal, Scott L Delp, and Michael H Schwartz · 2020
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Human trajectory forecasting in crowds: A deep learning perspective
Parth Kothari, Sven Kreiss, and Alexandre Alahi · 2020
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Dynamic multiscale graph neural networks for 3d skeleton based human motion prediction
Maosen Li, Siheng Chen, Yangheng Zhao, Ya Zhang, Yanfeng Wang, and Qi Tian · 2020
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Disentangling human dynamics for pedestrian locomotion forecasting with noisy supervision
Karttikeya Mangalam, Ehsan Adeli, Kuan-Hui Lee, Adrien Gaidon, and Juan Carlos Niebles · 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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History repeats itself: Human motion prediction via motion attention
Wei Mao, Miaomiao Liu, and Mathieu Salzmann · 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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Contact and human dynamics from monocular video
Davis Rempe, Leonidas J Guibas, Aaron Hertzmann, Bryan Russell, Ruben Villegas, and Jimei Yang · 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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Reciprocal learning networks for human trajectory prediction
Hao Sun, Zhiqun Zhao, and Zhihai He · 2020
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Video-based motion trajectory forecasting method for proactive construction safety monitoring systems
Shuai Tang, Mani Golparvar-Fard, Milind Naphade, and Murali M Gopalakrishna · 2020
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Dlow: Diversifying latent flows for diverse human motion prediction
Ye Yuan and Kris Kitani · 2020
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Graphtcn: Spatio-temporal interaction modeling for human trajectory prediction
Chengxin Wang, Shaofeng Cai, and Gary Tan · 2021
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