WOAD: Weakly Supervised Online Action Detection in Untrimmed Videos

THUMOS challenge: Action recognition with a large number of classes

Y.-G. Jiang, J. Liu, A. Roshan Zamir, G. Toderici, I. Laptev, M. Shah, and R. Sukthankar · 2014

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.

Adam: A method for stochastic optimization

Diederik P Kingma and Jimmy Ba · 2015

Earlier work this paper cites.

Online action detection

Roeland De Geest, Efstratios Gavves, Amir Ghodrati, Zhenyang Li, Cees Snoek, and Tinne Tuytelaars · 2016

Earlier work this paper cites.

Temporal action localization in untrimmed videos via multi-stage cnns

Zheng Shou, Dongang Wang, and Shih-Fu Chang · 2016

Earlier work this paper cites.

SST: Single-stream temporal action proposals

Shyamal Buch, Victor Escorcia, Chuanqi Shen, Bernard Ghanem, and Juan Carlos Niebles · 2017

Earlier work this paper cites.

Quo vadis, action recognition? a new model and the kinetics dataset

Joao Carreira and Andrew Zisserman · 2017

Earlier work this paper cites.

Temporal context network for activity localization in videos

Xiyang Dai, Bharat Singh, Guyue Zhang, Larry S Davis, and Yan Qiu Chen · 2017

Earlier work this paper cites.

RED: Reinforced encoder-decoder networks for action anticipation

Jiyang Gao, Zhenheng Yang, and Ram Nevatia · 2017

Earlier work this paper cites.

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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Semi-supervised classification with graph convolutional networks

Thomas N Kipf and Max Welling · 2017

Earlier work this paper cites.

Focal loss for dense object detection

Tsung-Yi Lin, Priya Goyal, Ross Girshick, Kaiming He, and Piotr Dollár · 2017

Cited alongside, same era.

Untrimmednets for weakly supervised action recognition and detection

Limin Wang, Yuanjun Xiong, Dahua Lin, and Luc Van Gool · 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.

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

Cited alongside, same era.

W-talc: Weakly-supervised temporal activity localization and classification

Completeness modeling and context separation for weakly supervised temporal action localization

Daochang Liu, Tingting Jiang, and Yizhou Wang · 2019

Later among the works it cites.

3c-net: Category count and center loss for weakly-supervised action localization

Sanath Narayan, Hisham Cholakkal, Fahad Shahbaz Khan, and Ling Shao · 2019

Later among the works it cites.

Weakly-supervised action localization with background modeling

Phuc Xuan Nguyen, Deva Ramanan, and Charless C Fowlkes · 2019

Later among the works it cites.

Temporal recurrent networks for online action detection

Mingze Xu, Mingfei Gao, Yi-Ting Chen, Larry S. Davis, and David J. Crandall · 2019

Later among the works it cites.

Marginalized average attentional network for weakly-supervised learning

Yuan Yuan, Yueming Lyu, Xi Shen, Ivor W Tsang, and Dit-Yan Yeung · 2019

Later among the works it cites.

Graph convolutional networks for temporal action localization