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Point-Level temporal action localization (PTAL) aims to localize actions in untrimmed videos with only one timestamp annotation for each action instance.
Savitzky-golay smoothing filters
William H Press and Saul A Teukolsky · 1990
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An improved algorithm for tv-l 1 optical flow
Andreas Wedel, Thomas Pock, Christopher Zach, Horst Bischof, and Daniel Cremers · 2009
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You-do, i-learn: Discovering task relevant objects and their modes of interaction from multi-user egocentric video
Dima Damen, Teesid Leelasawassuk, Osian Haines, Andrew Calway, and Walterio W Mayol-Cuevas · 2014
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Thumos challenge: Action recognition with a large number of classes, 2014
Yu-Gang Jiang, Jingen Liu, A Roshan Zamir, George Toderici, Ivan Laptev, Mubarak Shah, and Rahul Sukthankar · 2014
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2015
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What’s the point: Semantic segmentation with point supervision
Amy Bearman, Olga Russakovsky, Vittorio Ferrari, and Li Fei-Fei · 2016
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Spot on: Action localization from pointly-supervised proposals
Pascal Mettes, Jan C Van Gemert, and Cees GM Snoek · 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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Quo vadis, action recognition? a new model and the kinetics dataset
Joao Carreira and Andrew Zisserman · 2017
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Turn tap: Temporal unit regression network for temporal action proposals
Jiyang Gao, Zhenheng Yang, Kan Chen, Chen Sun, and Ram Nevatia · 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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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 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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Where are the blobs: Counting by localization with point supervision
Issam H Laradji, Negar Rostamzadeh, Pedro O Pinheiro, David Vazquez, and Mark Schmidt · 2018
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Temporal deformable residual networks for action segmentation in videos
Peng Lei and Sinisa Todorovic · 2018
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Bsn: Boundary sensitive network for temporal action proposal generation
Tianwei Lin, Xu Zhao, Haisheng Su, Chongjing Wang, and Ming Yang · 2018
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Weakly supervised action localization by sparse temporal pooling network
Phuc Nguyen, Ting Liu, Gautam Prasad, and Bohyung Han · 2018
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W-talc: Weakly-supervised temporal activity localization and classification
Weakly supervised scene parsing with point-based distance metric learning
Rui Qian, Yunchao Wei, Honghui Shi, Jiachen Li, Jiaying Liu, and Thomas Huang · 2019
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Segregated temporal assembly recurrent networks for weakly supervised multiple action detection
Yunlu Xu, Chengwei Zhang, Zhanzhan Cheng, Jianwen Xie, Yi Niu, Shiliang Pu, and Fei Wu · 2019
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Background suppression network for weakly-supervised temporal action localization
Pilhyeon Lee, Youngjung Uh, and Hyeran Byun · 2020
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Background modeling via uncertainty estimation for weakly-supervised action localization
Pilhyeon Lee, Jinglu Wang, Yan Lu, and Hyeran Byun · 2020
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Graph attention based proposal 3d convnets for action detection
Jin Li, Xianglong Liu, Zhuofan Zong, Wanru Zhao, Mingyuan Zhang, and Jingkuan Song · 2020
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Sujoy Paul, Sourya Roy, and Amit K Roy-Chowdhury · 2018
Cited alongside, same era.
Autoloc: Weakly-supervised temporal action localization in untrimmed videos
Zheng Shou, Hang Gao, Lei Zhang, Kazuyuki Miyazawa, and Shih-Fu Chang · 2018
Cited alongside, same era.
Bmn: Boundary-matching network for temporal action proposal generation
Tianwei Lin, Xiao Liu, Xin Li, Errui Ding, and Shilei Wen · 2019
Cited alongside, same era.
Completeness modeling and context separation for weakly supervised temporal action localization
Daochang Liu, Tingting Jiang, and Yizhou Wang · 2019
Cited alongside, same era.
Weakly supervised temporal action localization through contrast based evaluation networks
Ziyi Liu, Le Wang, Qilin Zhang, Zhanning Gao, Zhenxing Niu, Nanning Zheng, and Gang Hua · 2019
Cited alongside, same era.
Action recognition from single timestamp supervision in untrimmed videos
Davide Moltisanti, Sanja Fidler, and Dima Damen · 2019
Cited alongside, same era.
3c-net: Category count and center loss for weakly-supervised action localization
Sanath Narayan, Hisham Cholakkal, Fahad Shahbaz Khan, and Ling Shao · 2019
Cited alongside, same era.
Fast learning of temporal action proposal via dense boundary generator
Chuming Lin, Jian Li, Yabiao Wang, Ying Tai, Donghao Luo, Zhipeng Cui, Chengjie Wang, Jilin Li, Feiyue Huang, and Rongrong Ji · 2020
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Sf-net: Single-frame supervision for temporal action localization
Fan Ma, Linchao Zhu, Yi Yang, Shengxin Zha, Gourab Kundu, Matt Feiszli, and Zheng Shou · 2020
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Adversarial background-aware loss for weakly-supervised temporal activity localization
Kyle Min and Jason J Corso · 2020
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Weakly-supervised action localization by generative attention modeling
Baifeng Shi, Qi Dai, Yadong Mu, and Jingdong Wang · 2020
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Revisiting anchor mechanisms for temporal action localization
Le Yang, Houwen Peng, Dingwen Zhang, Jianlong Fu, and Junwei Han · 2020
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Two-stream consensus network for weakly-supervised temporal action localization
Yuanhao Zhai, Le Wang, Wei Tang, Qilin Zhang, Junsong Yuan, and Gang Hua · 2020
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Bottom-up temporal action localization with mutual regularization
Peisen Zhao, Lingxi Xie, Chen Ju, Ya Zhang, Yanfeng Wang, and Qi Tian · 2020
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