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To predict future trajectories, the normalizing flow with a standard Gaussian prior suffers from weak diversity.
Maximum likelihood from incomplete data via the em algorithm
Arthur P Dempster, Nan M Laird, and Donald B Rubin · 1977
Earlier work this paper cites.
Social force model for pedestrian dynamics
Dirk Helbing and Peter Molnar · 1995
Earlier work this paper cites.
Em algorithms of gaussian mixture model and hidden markov model
Guorong Xuan, Wei Zhang, and Peiqi Chai · 2001
Earlier work this paper cites.
Crowds by example
Alon Lerner, Yiorgos Chrysanthou, and Dani Lischinski · 2007
Earlier work this paper cites.
Gaussian process dynamical models for human motion
Jack M Wang, David J Fleet, and Aaron Hertzmann · 2007
Earlier work this paper cites.
You’ll never walk alone: Modeling social behavior for multi-target tracking
Stefano Pellegrini, Andreas Ess, Konrad Schindler, and Luc Van Gool · 2009
Earlier work this paper cites.
Activity forecasting
Kris M Kitani, Brian D Ziebart, James Andrew Bagnell, and Martial Hebert · 2012
Earlier work this paper cites.
Auto-encoding variational bayes
Diederik P Kingma and Max Welling · 2013
Earlier work this paper cites.
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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Density estimation using real nvp
Laurent Dinh, Jascha Sohl-Dickstein, and Samy Bengio · 2016
Earlier work this paper cites.
Density estimation using real nvp
Laurent Dinh, Jascha Sohl-Dickstein, and Samy Bengio · 2016
Earlier work this paper cites.
Analysis of recurrent neural networks for probabilistic modeling of driver behavior
Jeremy Morton, Tim A Wheeler, and Mykel J Kochenderfer · 2016
Earlier work this paper cites.
Learning social etiquette: Human trajectory understanding in crowded scenes
Alexandre Robicquet, Amir Sadeghian, Alexandre Alahi, and Silvio Savarese · 2016
Earlier work this paper cites.
Deep unsupervised clustering with gaussian mixture variational autoencoders, 2017
Nat Dilokthanakul, Pedro A. M. Mediano, Marta Garnelo, Matthew C. H. Lee, Hugh Salimbeni, Kai Arulkumaran, and Murray Shanahan · 2017
Earlier work this paper cites.
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
Earlier work this paper cites.
Gaussian mixture generative adversarial networks for diverse datasets, and the unsupervised clustering of images, 2018
Matan Ben-Yosef and Daphna Weinshall · 2018
Earlier work this paper cites.
Social gan: Socially acceptable trajectories with generative adversarial networks
Agrim Gupta, Justin Johnson, Li Fei-Fei, Silvio Savarese, and Alexandre Alahi · 2018
Earlier work this paper cites.
R2p2: A reparameterized pushforward policy for diverse, precise generative path forecasting
Nicholas Rhinehart, Kris M Kitani, and Paul Vernaza · 2018
Earlier work this paper cites.
Trajnet: Towards a benchmark for human trajectory prediction
Amir Sadeghian, Vineet Kosaraju, Agrim Gupta, Silvio Savarese, and Alexandre Alahi · 2018
Earlier work this paper cites.
Social attention: Modeling attention in human crowds
Anirudh Vemula, Katharina Muelling, and Jean Oh · 2018
Earlier work this paper cites.
Stgat: Modeling spatial-temporal interactions for human trajectory prediction
Yingfan Huang, Huikun Bi, Zhaoxin Li, Tianlu Mao, and Zhaoqi Wang · 2019
Earlier work this paper cites.
Semi-supervised learning with normalizing flows, 2019
Pavel Izmailov, Polina Kirichenko, Marc Finzi, and Andrew Gordon Wilson · 2019
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Peeking into the future: Predicting future person activities and locations in videos
Junwei Liang, Lu Jiang, Juan Carlos Niebles, Alexander G Hauptmann, and Li Fei-Fei · 2019
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Precog: Prediction conditioned on goals in visual multi-agent settings
Nicholas Rhinehart, Rowan McAllister, Kris Kitani, and Sergey Levine · 2019
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Noise regularization for conditional density estimation
Jonas Rothfuss, Fabio Ferreira, Simon Boehm, Simon Walther, Maxim Ulrich, Tamim Asfour, and Andreas Krause · 2019
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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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Mg-gan: A multi-generator model preventing out-of-distribution samples in pedestrian trajectory prediction
Patrick Dendorfer, Sven Elflein, and Laura Leal-Taixé · 2021
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Representational aspects of depth and conditioning in normalizing flows
Frederic Koehler, Viraj Mehta, and Andrej Risteski · 2021
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Rain: Reinforced hybrid attention inference network for motion forecasting
Jiachen Li, Fan Yang, Hengbo Ma, Srikanth Malla, Masayoshi Tomizuka, and Chiho Choi · 2021
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From goals, waypoints & paths to long term human trajectory forecasting
Karttikeya Mangalam, Yang An, Harshayu Girase, and Jitendra Malik · 2021
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Dag-net: Double attentive graph neural network for trajectory forecasting
Alessio Monti, Alessia Bertugli, Simone Calderara, and Rita Cucchiara · 2021
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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
Cited alongside, same era.
Relaxing bijectivity constraints with continuously indexed normalising flows
Rob Cornish, Anthony Caterini, George Deligiannidis, and Arnaud Doucet · 2020
Cited alongside, same era.
Generative hybrid representations for activity forecasting with no-regret learning
Jiaqi Guan, Ye Yuan, Kris M Kitani, and Nicholas Rhinehart · 2020
Cited alongside, same era.
Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
Cited alongside, same era.
Why normalizing flows fail to detect out-of-distribution data
Polina Kirichenko, Pavel Izmailov, and Andrew G Wilson · 2020
Cited alongside, same era.
Normalizing flows: An introduction and review of current methods
Ivan Kobyzev, Simon JD Prince, and Marcus A Brubaker · 2020
Cited alongside, same era.
Simaug: Learning robust representations from simulation for trajectory prediction
Junwei Liang, Lu Jiang, and Alexander Hauptmann · 2020
Cited alongside, same era.
George Papamakarios, Eric Nalisnick, Danilo Jimenez Rezende, Shakir Mohamed, and Balaji Lakshminarayanan · 2021
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Introvert: Human trajectory prediction via conditional 3d attention
Nasim Shafiee, Taskin Padir, and Ehsan Elhamifar · 2021
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Three steps to multimodal trajectory prediction: Modality clustering, classification and synthesis
Jianhua Sun, Yuxuan Li, Hao-Shu Fang, and Cewu Lu · 2021
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Agentformer: Agent-aware transformers for socio-temporal multi-agent forecasting
Ye Yuan, Xinshuo Weng, Yanglan Ou, and Kris M Kitani · 2021
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Stochastic trajectory prediction via motion indeterminacy diffusion
Tianpei Gu, Guangyi Chen, Junlong Li, Chunze Lin, Yongming Rao, Jie Zhou, and Jiwen Lu · 2022
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Social-implicit: Rethinking trajectory prediction evaluation and the effectiveness of implicit maximum likelihood estimation
Abduallah Mohamed, Deyao Zhu, Warren Vu, Mohamed Elhoseiny, and Christian Claudel · 2022
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Plugen: Multi-label conditional generation from pre-trained models
Maciej Wołczyk, Magdalena Proszewska, Łukasz Maziarka, Maciej Zieba, Patryk Wielopolski, Rafał Kurczab, and Marek Smieja · 2022
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Groupnet: Multiscale hypergraph neural networks for trajectory prediction with relational reasoning
Chenxin Xu, Maosen Li, Zhenyang Ni, Ya Zhang, and Siheng Chen · 2022
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Remember intentions: Retrospective-memory-based trajectory prediction
Chenxin Xu, Weibo Mao, Wenjun Zhang, and Siheng Chen · 2022
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Fast inference and update of probabilistic density estimation on trajectory prediction
Takahiro Maeda and Norimichi Ukita · 2023
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Leapfrog diffusion model for stochastic trajectory prediction
Weibo Mao, Chenxin Xu, Qi Zhu, Siheng Chen, and Yanfeng Wang · 2023
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Stimulus verification is a universal and effective sampler in multi-modal human trajectory prediction
Jianhua Sun, Yuxuan Li, Liang Chai, and Cewu Lu · 2023
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Another vertical view: A hierarchical network for heterogeneous trajectory prediction via spectrums
Conghao Wong, Beihao Xia, Qinmu Peng, and Xinge You · 2023
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Conghao Wong, Beihao Xia, and Xinge You · 2023
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Eqmotion: Equivariant multi-agent motion prediction with invariant interaction reasoning
Chenxin Xu, Robby T Tan, Yuhong Tan, Siheng Chen, Yu Guang Wang, Xinchao Wang, and Yanfeng Wang · 2023
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Deep gaussian mixture model for unsupervised image segmentation
Matthias Schwab, Agnes Mayr, and Markus Haltmeier · 2024
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