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Action anticipation aims to detect an action before it happens.
Simple statistical gradient-following algorithms for connectionist reinforcement learning
Ronald J Williams · 1992
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Two-frame motion estimation based on polynomial expansion
Gunnar Farnebäck · 2003
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Parsing video events with goal inference and intent prediction
Mingtao Pei, Yunde Jia, and Song-Chun Zhu · 2011
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Max-margin early event detectors
Minh Hoai and Fernando De la Torre · 2012
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Anticipating human activities for reactive robotic response
Hema Swetha Koppula and Ashutosh Saxena · 2013
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Inferring” dark matter” and” dark energy” from videos
Dan Xie, Sinisa Todorovic, and Song-Chun Zhu · 2013
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Max-margin early event detectors
Minh Hoai and Fernando De la Torre · 2014
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A hierarchical representation for future action prediction
Tian Lan, Tsung-Chuan Chen, and Silvio Savarese · 2014
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Recurrent models of visual attention
Volodymyr Mnih, Nicolas Heess, Alex Graves, et al · 2014
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Two-stream convolutional networks for action recognition in videos
Karen Simonyan and Andrew Zisserman · 2014
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Batch normalization: Accelerating deep network training by reducing internal covariate shift
Sergey Ioffe and Christian Szegedy · 2015
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Adam: A method for stochastic optimization
Diederik Kingma and Jimmy Ba · 2015
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Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman · 2015
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Every moment counts: Dense detailed labeling of actions in complex videos
Serena Yeung, Olga Russakovsky, Ning Jin, Mykhaylo Andriluka, Greg Mori, and Li Fei-Fei · 2015
Learning activity progression in lstms for activity detection and early detection
Shugao Ma, Leonid Sigal, and Stan Sclaroff · 2016
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High five: Recognising human interactions in tv shows
Alonso Patron-Perez, Marcin Marszalek, Andrew Zisserman, and Ian D Reid · 2016
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Sequence level training with recurrent neural networks
Marc’Aurelio Ranzato, Sumit Chopra, Michael Auli, and Wojciech Zaremba · 2016
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Temporal action localization in untrimmed videos via multi-stage cnns
Zheng Shou, Dongang Wang, and Shih-Fu Chang · 2016
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Anticipating visual representations from unlabeled video
Carl Vondrick, Hamed Pirsiavash, and Antonio Torralba · 2016
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Online action detection
Roeland De Geest, Efstratios Gavves, Amir Ghodrati, Zhenyang Li, Cees Snoek, and Tinne Tuytelaars · 2016
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Tall: Temporal activity localization via language query
Jiyang Gao, Chen Sun, Zhenheng Yang, and Ram Nevatia
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Turn tap: Temporal unit regression network for temporal action proposals
Jiyang Gao, Zhenheng Yang, Chen Sun, Kan Chen, and Ram Nevatia
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Yuanjun Xiong, Limin Wang, Zhe Wang, Bowen Zhang, Hang Song, Wei Li, Dahua Lin, Yu Qiao, Luc Van Gool, and Xiaoou Tang · 2016
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End-to-end learning of action detection from frame glimpses in videos
Serena Yeung, Olga Russakovsky, Greg Mori, and Li Fei-Fei · 2016
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