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Online action detection is a task with the aim of identifying ongoing actions from streaming videos without any side information or access to future frames.
Imagenet: A large-scale hierarchical image database
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Activitynet: A large-scale video benchmark for human activity understanding
Fabian Caba Heilbron, Victor Escorcia, Bernard Ghanem, and Juan Carlos Niebles · 2015
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2015
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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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Convolutional two-stream network fusion for video action recognition
Christoph Feichtenhofer, Axel Pinz, and Andrew Zisserman · 2016
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Online human action detection using joint classification-regression recurrent neural networks
Yanghao Li, Cuiling Lan, Junliang Xing, Wenjun Zeng, Chunfeng Yuan, and Jiaying Liu · 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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Temporal segment networks: Towards good practices for deep action recognition
Limin Wang, Yuanjun Xiong, Zhe Wang, Yu Qiao, Dahua Lin, Xiaoou Tang, and Luc Van Gool · 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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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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Adaptive neural networks for efficient inference
Tolga Bolukbasi, Joseph Wang, Ofer Dekel, and Venkatesh Saligrama · 2017
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End-to-end, single-stream temporal action detection in untrimmed videos
Shyamal Buch, Victor Escorcia, Bernard Ghanem, Li Fei-Fei, and Juan Carlos Niebles · 2017
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Temporal context network for activity localization in videos
Xiyang Dai, Bharat Singh, Guyue Zhang, Larry S Davis, and Yan Qiu Chen · 2017
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Predictive-corrective networks for action detection
Achal Dave, Olga Russakovsky, and Deva Ramanan · 2017
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Cascaded boundary regression for temporal action detection
Jiyang Gao, Zhenheng Yang, and Ram Nevatia · 2017
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Red: Reinforced encoder-decoder networks for action anticipation
Jiyang Gao, Zhenheng Yang, and Ram Nevatia · 2017
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The thumos challenge on action recognition for videos “in the wild”
Haroon Idrees, Amir R Zamir, Yu-Gang Jiang, Alex Gorban, Ivan Laptev, Rahul Sukthankar, and Mubarak Shah · 2017
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Categorical reparameterization with gumbel-softmax
Eric Jang, Shixiang Gu, and Ben Poole · 2017
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Single shot temporal action detection
Tianwei Lin, Xu Zhao, and Zheng Shou · 2017
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Online action detection and forecast via multitask deep recurrent neural networks
Chunhui Liu, Yanghao Li, Yueyu Hu, and Jiaying Liu · 2017
Convolutional networks with adaptive inference graphs
Andreas Veit and Serge Belongie · 2018
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Non-local neural networks
Xiaolong Wang, Ross Girshick, Abhinav Gupta, and Kaiming He · 2018
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Skipnet: Learning dynamic routing in convolutional networks
Xin Wang, Fisher Yu, Zi-Yi Dou, Trevor Darrell, and Joseph E Gonzalez · 2018
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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 · 2018
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Scsampler: Sampling salient clips from video for efficient action recognition
Bruno Korbar, Du Tran, and Lorenzo Torresani · 2019
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Bmn: Boundary-matching network for temporal action proposal generation
Tianwei Lin, Xiao Liu, Xin Li, Errui Ding, and Shilei Wen · 2019
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Encouraging lstms to anticipate actions very early
Mohammad Sadegh Aliakbarian, Fatemeh Sadat Saleh, Mathieu Salzmann, Basura Fernando, Lars Petersson, and Lars Andersson · 2017
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Cdc: Convolutional-de-convolutional networks for precise temporal action localization in untrimmed videos
Zheng Shou, Jonathan Chan, Alireza Zareian, Kazuyuki Miyazawa, and Shih-Fu Chang · 2017
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Inception-v4, inception-resnet and the impact of residual connections on learning
Christian Szegedy, Sergey Ioffe, Vincent Vanhoucke, and Alex Alemi · 2017
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R-c3d: Region convolutional 3d network for temporal activity detection
Huijuan Xu, Abir Das, and Kate Saenko · 2017
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Temporal action detection with structured segment networks
Yue Zhao, Yuanjun Xiong, Limin Wang, Zhirong Wu, Xiaoou Tang, and Dahua Lin · 2017
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Rethinking the faster r-cnn architecture for temporal action localization
Yu-Wei Chao, Sudheendra Vijayanarasimhan, Bryan Seybold, David A Ross, Jia Deng, and Rahul Sukthankar · 2018
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Gaussian temporal awareness networks for action localization
Fuchen Long, Ting Yao, Zhaofan Qiu, Xinmei Tian, Jiebo Luo, and Tao Mei · 2019
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3c-net: Category count and center loss for weakly-supervised action localization
Sanath Narayan, Hisham Cholakkal, Fahad Shahbaz Khan, and Ling Shao · 2019
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Pytorch: An imperative style, high-performance deep learning library
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, et al · 2019
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Adaframe: Adaptive frame selection for fast video recognition
Zuxuan Wu, Caiming Xiong, Chih-Yao Ma, Richard Socher, and Larry S Davis · 2019
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Adaframe: Adaptive frame selection for fast video recognition
Zuxuan Wu, Caiming Xiong, Chih-Yao Ma, Richard Socher, and Larry S Davis · 2019
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Temporal recurrent networks for online action detection
Mingze Xu, Mingfei Gao, Yi-Ting Chen, Larry S Davis, and David J Crandall · 2019
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Graph convolutional networks for temporal action localization
Runhao Zeng, Wenbing Huang, Mingkui Tan, Yu Rong, Peilin Zhao, Junzhou Huang, and Chuang Gan · 2019
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Learning to discriminate information for online action detection
Hyunjun Eun, Jinyoung Moon, Jongyoul Park, Chanho Jung, and Changick Kim · 2020
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Learning 3d-aware egocentric spatial-temporal interaction via graph convolutional networks
Chengxi Li, Yue Meng, Stanley H Chan, and Yi-Ting Chen · 2020
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Ar-net: Adaptive frame resolution for efficient action recognition
Yue Meng, Chung-Ching Lin, Rameswar Panda, Prasanna Sattigeri, Leonid Karlinsky, Aude Oliva, Kate Saenko, and Rogerio Feris · 2020
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