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The ability to perform causal and counterfactual reasoning are central properties of human intelligence.
Core knowledge
Elizabeth S Spelke · 2000
Earlier work this paper cites.
Causality
Judea Pearl · 2009
Earlier work this paper cites.
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S. Pellegrini, A. Ess, K. Schindler, and L. van Gool · 2009
Earlier work this paper cites.
Reciprocal n-body collision avoidance
Jur van den Berg, Stephen J. Guy, Ming Lin, and Dinesh Manocha · 2011
Earlier work this paper cites.
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Walter J Scheirer, Anderson de Rezende Rocha, Archana Sapkota, and Terrance E Boult · 2012
Earlier work this paper cites.
Socially-aware large-scale crowd forecasting
Alexandre Alahi, Vignesh Ramanathan, and Li Fei-Fei · 2014
Earlier work this paper cites.
Unsupervised domain adaptation by backpropagation
Yaroslav Ganin and Victor Lempitsky · 2015
Earlier work this paper cites.
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S. Song, S. P. Lichtenberg, and J. Xiao · 2015
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Katerina Fragkiadaki, Pulkit Agrawal, Sergey Levine, and Jitendra Malik · 2015
Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Alexandre Alahi, Kratarth Goel, Vignesh Ramanathan, Alexandre Robicquet, Li Fei-Fei, and Silvio Savarese · 2016
Earlier work this paper cites.
Causal effect inference with deep latent-variable models
Christos Louizos, Uri Shalit, Joris M Mooij, David Sontag, Richard Zemel, and Max Welling · 2017
Earlier work this paper cites.
Inferring hidden statuses and actions in video by causal reasoning
Amy Fire and Song-Chun Zhu · 2017
Earlier work this paper cites.
Clevr: A diagnostic dataset for compositional language and elementary visual reasoning
Justin Johnson, Bharath Hariharan, Laurens van der Maaten, Li Fei-Fei, C Lawrence Zitnick, and Ross Girshick · 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.
CARLA: An open urban driving simulator
Alexey Dosovitskiy, German Ros, Felipe Codevilla, Antonio Lopez, and Vladlen Koltun · 2017
Earlier work this paper cites.
Imitating driver behavior with generative adversarial networks
Alex Kuefler, Jeremy Morton, Tim Wheeler, and Mykel Kochenderfer · 2017
Earlier work this paper cites.
Forecasting interactive dynamics of pedestrians with fictitious play
Wei-Chiu Ma, De-An Huang, Namhoon Lee, and Kris M Kitani · 2017
Earlier work this paper cites.
Neural message passing for quantum chemistry
Justin Gilmer, Samuel S Schoenholz, Patrick F Riley, Oriol Vinyals, and George E Dahl · 2017
Earlier work this paper cites.
Toward driving scene understanding: A dataset for learning driver behavior and causal reasoning
Vasili Ramanishka, Yi-Ting Chen, Teruhisa Misu, and Kate Saenko · 2018
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Viena: A driving anticipation dataset
Mohammad Sadegh Aliakbarian, Fatemeh Sadat Saleh, Mathieu Salzmann, Basura Fernando, Lars Petersson, and Lars Andersson · 2018
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Neural relational inference for interacting systems
T Kipf, E Fetaya, K-C Wang, M Welling, and R Zemel · 2018
Cited alongside, same era.
R2p2: A reparameterized pushforward policy for diverse, precise generative path forecasting
Nicholas Rhinehart, Kris M Kitani, and Paul Vernaza · 2018
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Airsim: High-fidelity visual and physical simulation for autonomous vehicles
Shital Shah, Debadeepta Dey, Chris Lovett, and Ashish Kapoor · 2018
Cited alongside, same era.
Social gan: Socially acceptable trajectories with generative adversarial networks
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
Later among the works it cites.
Infer: Intermediate representations for future prediction
Shashank Srikanth, Junaid Ahmed Ansari, Sarthak Sharma, et al · 2019
Later among the works it cites.
Traphic: Trajectory prediction in dense and heterogeneous traffic using weighted interactions
Rohan Chandra, Uttaran Bhattacharya, Aniket Bera, and Dinesh Manocha · 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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Predicting vehicle behaviors over an extended horizon using behavior interaction network
Wenchao Ding, Jing Chen, and Shaojie Shen · 2019
Later among the works it cites.
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Social attention: Modeling attention in human crowds
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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
N. Deo and M. M. Trivedi · 2018
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Context-aware trajectory prediction
F. Bartoli, G. Lisanti, L. Ballan, and A. Del Bimbo · 2018
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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 · 2018
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Sequence-to-sequence prediction of vehicle trajectory via lstm encoder-decoder architecture
Seong Hyeon Park, ByeongDo Kim, Chang Mook Kang, Chung Choo Chung, and Jun Won Choi · 2018
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Stochastic prediction of multi-agent interactions from partial observations
Chen Sun, Per Karlsson, Jiajun Wu, Joshua B Tenenbaum, and Kevin Murphy · 2019
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Contrastive learning of structured world models
Thomas Kipf, Elise van der Pol, and Max Welling · 2019
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Propagation networks for model-based control under partial observation
Yunzhu Li, Jiajun Wu, Jun-Yan Zhu, Joshua B Tenenbaum, Antonio Torralba, and Russ Tedrake · 2019
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Improving the accuracy of medical diagnosis with causal machine learning
Jonathan G Richens, Ciarán M Lee, and Saurabh Johri · 2020
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Traffic accident benchmark for causality recognition
Tackgeun You and Bohyung Han · 2020
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Causal discovery in physical systems from videos
Yunzhu Li, Antonio Torralba, Animashree Anandkumar, Dieter Fox, and Animesh Garg · 2020
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Causalvae: Disentangled representation learning via neural structural causal models
Mengyue Yang, Furui Liu, Zhitang Chen, Xinwei Shen, Jianye Hao, and Jun Wang · 2020
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Causal reasoning in multi-object interaction on the traffic scene: Occlusion-aware prediction of visibility fluent
Xuanpeng Li, Qifan Xue, Jingwen Zhao, and Dong Wang · 2020
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Causalworld: A robotic manipulation benchmark for causal structure and transfer learning
Ossama Ahmed, Frederik Träuble, Anirudh Goyal, Alexander Neitz, Manuel Wüthrich, Yoshua Bengio, Bernhard Schölkopf, and Stefan Bauer · 2020
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A causal view of compositional zero-shot recognition
Yuval Atzmon, Felix Kreuk, Uri Shalit, and Gal Chechik · 2020
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Differentiable causal discovery under unmeasured confounding, 2020
Rohit Bhattacharya, Tushar Nagarajan, Daniel Malinsky, and Ilya Shpitser · 2020
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Can autonomous vehicles identify, recover from, and adapt to distribution shifts?
Angelos Filos, Panagiotis Tigkas, Rowan McAllister, Nicholas Rhinehart, Sergey Levine, and Yarin Gal · 2020
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Diverse and admissible trajectory forecasting through multimodal context understanding
Seong Hyeon Park, Gyubok Lee, Jimin Seo, Manoj Bhat, Minseok Kang, Jonathan Francis, Ashwin Jadhav, Paul Pu Liang, and Louis-Philippe Morency · 2020
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Naturalistic driver intention and path prediction using recurrent neural networks
A. Zyner, S. Worrall, and E. Nebot · 2020
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