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On public benchmarks, current action recognition techniques have achieved great success.
Recognizing human actions: a local svm approach
Christian Schuldt, Ivan Laptev, and Barbara Caputo · 2004
Earlier work this paper cites.
Actions as space-time shapes
Moshe Blank, Lena Gorelick, Eli Shechtman, Michal Irani, and Ronen Basri · 2005
Earlier work this paper cites.
A duality based approach for realtime tv-l 1 optical flow
Christopher Zach, Thomas Pock, and Horst Bischof · 2007
Earlier work this paper cites.
Action mach: a spatio-temporal maximum average correlation height filter for action recognition
Mikel D Rodriguez, Javed Ahmed, and Mubarak Shah · 2008
Earlier work this paper cites.
Hmdb: a large video database for human motion recognition
Hildegard Kuehne, Hueihan Jhuang, Estíbaliz Garrote, Tomaso Poggio, and Thomas Serre · 2011
Earlier work this paper cites.
UCF101: A dataset of 101 human actions classes from videos in the wild
K. Soomro, A. Roshan Zamir, and M. Shah · 2012
Earlier work this paper cites.
Temporal localization of actions with actoms
Adrien Gaidon, Zaid Harchaoui, and Cordelia Schmid · 2013
Earlier work this paper cites.
Towards understanding action recognition
H. Jhuang, J. Gall, S. Zuffi, C. Schmid, and M. J. Black · 2013
Earlier work this paper cites.
Jhu-isi gesture and skill assessment working set (jigsaws): A surgical activity dataset for human motion modeling
Yixin Gao, S Swaroop Vedula, Carol E Reiley, Narges Ahmidi, Balakrishnan Varadarajan, Henry C Lin, Lingling Tao, Luca Zappella, Benjamın Béjar, David D Yuh, et al · 2014
Earlier work this paper cites.
The language of actions: Recovering the syntax and semantics of goal-directed human activities
Hilde Kuehne, Ali Arslan, and Thomas Serre · 2014
Earlier work this paper cites.
Two-stream convolutional networks for action recognition in videos
Karen Simonyan and Andrew Zisserman · 2014
Earlier work this paper cites.
P-cnn: Pose-based cnn features for action recognition
Guilhem Chéron, Ivan Laptev, and Cordelia Schmid · 2015
Earlier work this paper cites.
Long-term recurrent convolutional networks for visual recognition and description
Jeffrey Donahue, Lisa Anne Hendricks, Sergio Guadarrama, Marcus Rohrbach, Subhashini Venugopalan, Kate Saenko, and Trevor Darrell · 2015
Earlier work this paper cites.
Activitynet: A large-scale video benchmark for human activity understanding
Bernard Ghanem Fabian Caba Heilbron, Victor Escorcia and Juan Carlos Niebles · 2015
Earlier work this paper cites.
THUMOS challenge: Action recognition with a large number of classes
A. Gorban, H. Idrees, Y.-G. Jiang, A. Roshan Zamir, I. Laptev, M. Shah, and R. Sukthankar · 2015
Earlier work this paper cites.
Learning spatiotemporal features with 3d convolutional networks
Du Tran, Lubomir Bourdev, Rob Fergus, Lorenzo Torresani, and Manohar Paluri · 2015
Earlier work this paper cites.
Convolutional two-stream network fusion for video action recognition
Christoph Feichtenhofer, Axel Pinz, and Andrew Zisserman · 2016
Earlier work this paper cites.
Spot on: Action localization from pointly-supervised proposals
Pascal Mettes, Jan C Van Gemert, and Cees GM Snoek · 2016
Earlier work this paper cites.
Recognizing fine-grained and composite activities using hand-centric features and script data
Marcus Rohrbach, Anna Rohrbach, Michaela Regneri, Sikandar Amin, Mykhaylo Andriluka, Manfred Pinkal, and Bernt Schiele · 2016
Earlier work this paper cites.
Hollywood in homes: Crowdsourcing data collection for activity understanding
Gunnar A Sigurdsson, Gül Varol, Xiaolong Wang, Ali Farhadi, Ivan Laptev, and Abhinav Gupta · 2016
Cited alongside, same era.
Human action localization with sparse spatial supervision
Philippe Weinzaepfel, Xavier Martin, and Cordelia Schmid · 2016
Cited alongside, same era.
Quo vadis, action recognition? a new model and the kinetics dataset
Joao Carreira and Andrew Zisserman · 2017
Cited alongside, same era.
Temporal 3d convnets: New architecture and transfer learning for video classification
Ali Diba, Mohsen Fayyaz, Vivek Sharma, Amir Hossein Karami, Mohammad Mahdi Arzani, Rahman Yousefzadeh, and Luc Van Gool · 2017
Cited alongside, same era.
RMPE: Regional multi-person pose estimation
Hao-Shu Fang, Shuqin Xie, Yu-Wing Tai, and Cewu Lu · 2017
Cited alongside, same era.
Flow-grounded spatial-temporal video prediction from still images
Yijun Li, Chen Fang, Jimei Yang, Zhaowen Wang, Xin Lu, and Ming-Hsuan Yang · 2018
Later among the works it cites.
Resound: Towards action recognition without representation bias
Yingwei Li, Yi Li, and Nuno Vasconcelos · 2018
Later among the works it cites.
Find and focus: Retrieve and localize video events with natural language queries
Dian Shao, Yu Xiong, Yue Zhao, Qingqiu Huang, Yu Qiao, and Dahua Lin · 2018
Later among the works it cites.
A closer look at spatiotemporal convolutions for action recognition
Du Tran, Heng Wang, Lorenzo Torresani, Jamie Ray, Yann LeCun, and Manohar Paluri · 2018
Later among the works it cites.
Temporal segment networks for action recognition in videos
Limin Wang, Yuanjun Xiong, Zhe Wang, Yu Qiao, Dahua Lin, Xiaoou Tang, and Luc Van Gool · 2018
Later among the works it cites.
Non-local neural networks
Xiaolong Wang, Ross Girshick, Abhinav Gupta, and Kaiming He · 2018
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Actionvlad: Learning spatio-temporal aggregation for action classification
Rohit Girdhar, Deva Ramanan, Abhinav Gupta, Josef Sivic, and Bryan Russell · 2017
Cited alongside, same era.
The “something something” video database for learning and evaluating visual common sense
Raghav Goyal, Samira Ebrahimi Kahou, Vincent Michalski, Joanna Materzynska, Susanne Westphal, Heuna Kim, Valentin Haenel, Ingo Fruend, Peter Yianilos, Moritz Mueller-Freitag, and et al · 2017
Cited alongside, same era.
Tube convolutional neural network (t-cnn) for action detection in videos
Rui Hou, Chen Chen, and Mubarak Shah · 2017
Cited alongside, same era.
The kinetics human action video dataset
Will Kay, Joao Carreira, Karen Simonyan, Brian Zhang, Chloe Hillier, Sudheendra Vijayanarasimhan, Fabio Viola, Tim Green, Trevor Back, Paul Natsev, et al · 2017
Cited alongside, same era.
Temporal convolutional networks for action segmentation and detection
Colin Lea, Michael D Flynn, Rene Vidal, Austin Reiter, and Gregory D Hager · 2017
Cited alongside, same era.
R-c3d: Region convolutional 3d network for temporal activity detection
Huijuan Xu, Abir Das, and Kate Saenko · 2017
Cited alongside, same era.
Temporal action detection with structured segment networks
Yue Zhao, Yuanjun Xiong, Limin Wang, Zhirong Wu, Xiaoou Tang, and Dahua Lin · 2017
Cited alongside, same era.
Later among the works it cites.
Spatial temporal graph convolutional networks for skeleton-based action recognition
Sijie Yan, Yuanjun Xiong, and Dahua Lin · 2018
Later among the works it cites.
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
Later among the works it cites.
Temporal relational reasoning in videos
Bolei Zhou, Alex Andonian, Aude Oliva, and Antonio Torralba · 2018
Later among the works it cites.
2017 – 2020 CODE OF POINTS for Women’s Artistic Gymnastics
Fédération Internationale de Gymnastique (FIG) · 2019
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Video action transformer network
Rohit Girdhar, Joao Carreira, Carl Doersch, and Andrew Zisserman · 2019
Later among the works it cites.
Tsm: Temporal shift module for efficient video understanding
Ji Lin, Chuang Gan, and Song Han · 2019
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Moments in time dataset: one million videos for event understanding
Mathew Monfort, Alex Andonian, Bolei Zhou, Kandan Ramakrishnan, Sarah Adel Bargal, Tom Yan, Lisa Brown, Quanfu Fan, Dan Gutfruend, Carl Vondrick, et al · 2019
Later among the works it cites.
Relational action forecasting
Chen Sun, Abhinav Shrivastava, Carl Vondrick, Rahul Sukthankar, Kevin Murphy, and Cordelia Schmid · 2019
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Hacs: Human action clips and segments dataset for recognition and temporal localization
Hang Zhao, Zhicheng Yan, Lorenzo Torresani, and Antonio Torralba · 2019
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MMAction
Yue Zhao, Haodong Duan, Yuanjun Xiong, and Dahua Lin · 2019
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Intra- and inter-action understanding via temporal action parsing
Dian Shao, Yue Zhao, Bo Dai, and Dahua Lin · 2020
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Temporal pyramid network for action recognition
Ceyuan Yang, Yinghao Xu, Jianping Shi, Bo Dai, and Bolei Zhou · 2020
Closest in time.