MPA: MultiPath++ Based Architecture for Motion Prediction

Adam: A method for stochastic optimization, 2014

Diederik P. Kingma and Jimmy Ba · 2014

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.

Attention is all you need, 2017

Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin · 2017

Earlier work this paper cites.

Multipath: Multiple probabilistic anchor trajectory hypotheses for behavior prediction

Yuning Chai, Benjamin Sapp, Mayank Bansal, and Dragomir Anguelov · 2019

Earlier work this paper cites.

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Henggang Cui, Vladan Radosavljevic, Fang-Chieh Chou, Tsung-Han Lin, Thi Nguyen, Tzu-Kuo Huang, Jeff Schneider, and Nemanja Djuric · 2019

Earlier work this paper cites.

Rules of the road: Predicting driving behavior with a convolutional model of semantic interactions

Joey Hong, Benjamin Sapp, and James Philbin · 2019

Earlier work this paper cites.

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Sergio Casas, Cole Gulino, Renjie Liao, and Raquel Urtasun · 2020

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Tung Phan-Minh, Elena Corina Grigore, Freddy A Boulton, Oscar Beijbom, and Eric M Wolff · 2020

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Scalability in perception for autonomous driving: Waymo open dataset, 2020

Pei Sun, Henrik Kretzschmar, Xerxes Dotiwalla, Aurelien Chouard, Vijaysai Patnaik, Paul Tsui, James Guo, Yin Zhou, Yuning Chai, Benjamin Caine, Vijay Vasudevan, Wei Han, Jiquan Ngiam, Hang Zhao, Aleksei Timofeev, Scott Ettinger, Maxim Krivokon, Amy Gao, Aditya Joshi, Sheng Zhao, Shuyang Cheng, Yu Zhang, Jonathon Shlens, Zhifeng Chen, and Dragomir Anguelov · 2020

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Motionnet: Joint perception and motion prediction for autonomous driving based on bird’s eye view maps, 2020

Pengxiang Wu, Siheng Chen, and Dimitris Metaxas · 2020

Hyper: Learned hybrid trajectory prediction via factored inference and adaptive sampling, 2021

Xin Huang, Guy Rosman, Igor Gilitschenski, Ashkan Jasour, Stephen G. McGill, John J. Leonard, and Brian C. Williams · 2021

Later among the works it cites.

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Atsushi Kawasaki and Akihito Seki · 2021

Later among the works it cites.

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Yicheng Liu, Jinghuai Zhang, Liangji Fang, Qinhong Jiang, and Bolei Zhou · 2021

Later among the works it cites.

Learning to predict vehicle trajectories with model-based planning, 2021

Haoran Song, Di Luan, Wenchao Ding, Michael Yu Wang, and Qifeng Chen · 2021

Later among the works it cites.

Multipath++: Efficient information fusion and trajectory aggregation for behavior prediction, 2021

Balakrishnan Varadarajan, Ahmed Hefny, Avikalp Srivastava, Khaled S. Refaat, Nigamaa Nayakanti, Andre Cornman, Kan Chen, Bertrand Douillard, Chi Pang Lam, Dragomir Anguelov, and Benjamin Sapp · 2021

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