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Temporal action detection in long videos is an important problem.
Two-frame motion estimation based on polynomial expansion
Gunnar Farnebäck · 2003
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Ivan Laptev · 2005
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A database for fine grained activity detection of cooking activities
Marcus Rohrbach, Sikandar Amin, Mykhaylo Andriluka, and Bernt Schiele · 2012
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Selective search for object recognition
Jasper RR Uijlings, Koen EA van de Sande, Theo Gevers, and Arnold WM Smeulders · 2013
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Rich feature hierarchies for accurate object detection and semantic segmentation
Ross Girshick, Jeff Donahue, Trevor Darrell, and Jitendra Malik · 2014
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Large-scale video classification with convolutional neural networks
Andrej Karpathy, George Toderici, Sanketh Shetty, Thomas Leung, Rahul Sukthankar, and Li Fei-Fei · 2014
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The lear submission at thumos 2014
Dan Oneata, Jakob Verbeek, and Cordelia Schmid · 2014
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Overfeat: Integrated recognition, localization and detection using convolutional networks
Pierre Sermanet, David Eigen, Xiang Zhang, Michaël Mathieu, Rob Fergus, and Yann LeCun · 2014
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Two-stream convolutional networks for action recognition in videos
Karen Simonyan and Andrew Zisserman · 2014
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Edge boxes: Locating object proposals from edges
C Lawrence Zitnick and Piotr Dollár · 2014
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Fast r-cnn
Ross Girshick · 2015
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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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Faster r-cnn: Towards real-time object detection with region proposal networks
Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun · 2015
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Temporal localization of fine-grained actions in videos by domain transfer from web images
Chen Sun, Sanketh Shetty, Rahul Sukthankar, and Ram Nevatia · 2015
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Learning spatiotemporal features with 3d convolutional networks
Du Tran, Lubomir Bourdev, Rob Fergus, Lorenzo Torresani, and Manohar Paluri · 2015
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Ssd: Single shot multibox detector
Wei Liu, Dragomir Anguelov, Dumitru Erhan, Christian Szegedy, and Scott Reed · 2016
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Learning activity progression in lstms for activity detection and early detection
Shugao Ma, Leonid Sigal, and Stan Sclaroff · 2016
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You only look once: Unified, real-time object detection
Joseph Redmon, Santosh Divvala, Ross Girshick, and Ali Farhadi · 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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A multi-stream bi-directional recurrent neural network for fine-grained action detection
Bharat Singh, Tim K. Marks, Michael Jones, Oncel Tuzel, and Ming Shao · 2016
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Fast temporal activity proposals for efficient detection of human actions in untrimmed videos
Fabian Caba Heilbron, Juan Carlos Niebles, and Bernard Ghanem · 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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Daps: Deep action proposals for action understanding
Victor Escorcia, Fabian Caba Heilbron, Juan Carlos Niebles, and Bernard Ghanem · 2016
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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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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Temporal action localization with pyramid of score distribution features
Jun Yuan, Bingbing Ni, Xiaokang Yang, and Ashraf A. Kassim · 2016
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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 · 2017
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