Fetching the paper…
Reading the bibliography…
In this paper we deal with the problem of predicting action progress in videos.
Fast Temporal Activity Proposals for Efficient Detection of Human Actions in Untrimmed Videos. In IEEE Conference on Computer Vision and Pattern Recognition . 1914–1923
Fabian Caba Heilbron, Juan Carlos Niebles, and Bernard Ghanem. 2016 · 1923
Earlier work this paper cites.
Learning Activity Progression in LSTMs for Activity Detection and Early Detection. In IEEE Conference on Computer Vision and Pattern Recognition . 1942–1950
Shugao Ma, Leonid Sigal, and Stan Sclaroff. 2016 · 1950
Earlier work this paper cites.
Verbs and times
Zeno Vendler. 1957 · 1957
Earlier work this paper cites.
Aspect: An introduction to the study of verbal aspect and related problems . Vol. 2
Bernard Comrie. 1976 · 1976
Earlier work this paper cites.
Action plans used in action observation
J Randall Flanagan and Roland S Johansson. 2003 · 2003
Earlier work this paper cites.
A sentence is to speech as what is to action?
Michael A Arbib. 2006 · 2006
Earlier work this paper cites.
Visualizing data using t-SNE
Laurens van der Maaten and Geoffrey Hinton. 2008 · 2008
Earlier work this paper cites.
Understanding the difficulty of training deep feedforward neural networks.. In Artificial Intelligence and Statistics Conference . 249–256
Xavier Glorot and Yoshua Bengio. 2010 · 2010
Earlier work this paper cites.
A survey on vision-based human action recognition
Ronald Poppe. 2010 · 2010
Earlier work this paper cites.
Human activity analysis: a review
J. K. Aggarwal and M. S. Ryoo. 2011 · 2011
Earlier work this paper cites.
The minimalist grammar of action
Katerina Pastra and Yiannis Aloimonos. 2012 · 2012
Earlier work this paper cites.
UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild
Khurram Soomro, Amir R. Zamir, and Mubarak Shah. 2012 · 2012
Earlier work this paper cites.
From action to language: comparative perspectives on primate tool use, gesture and the evolution of human language
James Steele, Pier Francesco Ferrari, and Leonardo Fogassi. 2012 · 2012
Earlier work this paper cites.
Temporal Localization of Actions with Actoms
Adrien Gaidon, Zaid Harchaoui, and Cordelia Schmid. 2013 · 2013
Earlier work this paper cites.
Towards understanding action recognition. In Proceedings of the IEEE international conference on computer vision . 3192–3199
Hueihan Jhuang, Juergen Gall, Silvia Zuffi, Cordelia Schmid, and Michael J Black. 2013 · 2013
Earlier work this paper cites.
Spatial pyramid pooling in deep convolutional networks for visual recognition. In European Conference on Computer Vision . 346–361
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. 2014 · 2014
Earlier work this paper cites.
Max-Margin Early Event Detectors
Minh Hoai and Fernando De la Torre. 2014 · 2014
Earlier work this paper cites.
Adam: A method for stochastic optimization
Diederik Kingma and Jimmy Ba. 2014 · 2014
Earlier work this paper cites.
ActivityNet: A Large-Scale Video Benchmark for Human Activity Understanding. In IEEE Conference on Computer Vision and Pattern Recognition . 961–970
Bernard Ghanem Fabian Caba Heilbron, Victor Escorcia and Juan Carlos Niebles. 2015 · 2015
Earlier work this paper cites.
Finding Action Tubes. In IEEE International Conference on Computer Vision . 759–768
Georgia Gkioxari and Jitendra Malik. 2015 · 2015
Earlier work this paper cites.
Deep multi-scale video prediction beyond mean square error
Michael Mathieu, Camille Couprie, and Yann LeCun. 2015 · 2015
Earlier work this paper cites.
Faster R-CNN: Towards real-time object detection with region proposal networks. In Advances in Neural Information Processing Systems . 91–99
Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun. 2015 · 2015
Cited alongside, same era.
Generating Notifications for Missing Actions: Don’t forget to turn the lights off!. In IEEE International Conference on Computer Vision . 4669–4677
Bilge Soran, Ali Farhadi, and Linda Shapiro. 2015 · 2015
Cited alongside, same era.
Learning to track for spatio-temporal action localization. In IEEE International Conference on Computer Vision . 3164–3172
Philippe Weinzaepfel, Zaid Harchaoui, and Cordelia Schmid. 2015 · 2015
Cited alongside, same era.
Fast action proposals for human action detection and search. In IEEE Conference on Computer Vision and Pattern Recognition . 1302–1311
Gang Yu and Junsong Yuan. 2015 · 2015
Cited alongside, same era.
Online Action Detection. In European Conference on Computer Vision . 269–284
Roeland De Geest, Efstratios Gavves, Amir Ghodrati, Zhenyang Li, Cees GM Snoek, and Tinne Tuytelaars. 2016 · 2016
Progress Estimation and Phase Detection for Sequential Processes
Xinyu Li, Yanyi Zhang, Jianyu Zhang, Moliang Zhou, Shuhong Chen, Yue Gu, Yueyang Chen, Ivan Marsic, Richard A. Farneth, and Randall S. Burd. 2017 · 2017
Closest in time.
Trespassing the boundaries: Labeling temporal bounds for object interactions in egocentric video. In Proceedings of the IEEE International Conference on Computer Vision . 2886–2894
Davide Moltisanti, Michael Wray, Walterio Mayol-Cuevas, and Dima Damen. 2017 · 2017
Closest in time.
CDC: Convolutional-De-Convolutional Networks for Precise Temporal Action Localization in Untrimmed Videos. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition
Zheng Shou, Jonathan Chan, Alireza Zareian, Kazuyuki Miyazawa, and Shih-Fu Chang. 2017 · 2017
Closest in time.
What Actions are Needed for Understanding Human Actions in Videos?. In IEEE International Conference on Computer Vision . 2137–2146
G. A. Sigurdsson, O. Russakovsky, and A. Gupta. 2017 · 2017
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Prediction of manipulation actions
Cornelia Fermüller, Fang Wang, Yezhou Yang, Konstantinos Zampogiannis, Yi Zhang, Francisco Barranco, and Michael Pfeiffer. 2016 · 2016
Cited alongside, same era.
Beyond Action Recognition: Action Completion in RGB-D Data. In British Machine Vision Conference
Farnoosh Heidarivincheh, Majid Mirmehdi, and Dima Damen. 2016 · 2016
Cited alongside, same era.
Ssd: Single shot multibox detector. In European conference on computer vision . Springer, 21–37
Wei Liu, Dragomir Anguelov, Dumitru Erhan, Christian Szegedy, Scott Reed, Cheng-Yang Fu, and Alexander C Berg. 2016 · 2016
Cited alongside, same era.
Multi-region two-stream R-CNN for action detection. In European Conference on Computer Vision . 744–759
Xiaojiang Peng and Cordelia Schmid. 2016 · 2016
Cited alongside, same era.
Deep learning for detecting multiple space-time action tubes in videos. In British Machine Vision Conference
Suman Saha, Gurkirt Singh, Michael Sapienza, Philip HS Torr, and Fabio Cuzzolin. 2016 · 2016
Cited alongside, same era.
Actions ∼ \sim Transformations. In IEEE Conference on Computer Vision and Pattern Recognition . 2658–2667
Xiaolong Wang, Ali Farhadi, and Abhinav Gupta. 2016 · 2016
Cited alongside, same era.
End-to-end Learning of Action Detection from Frame Glimpses in Videos. In IEEE Conference on Computer Vision and Pattern Recognition . 2678–2687
Serena Yeung, Olga Russakovsky, Greg Mori, and Li Fei-Fei. 2016 · 2016
Cited alongside, same era.
Online Real-time Multiple Spatiotemporal Action Localisation and Prediction. In IEEE International Conference on Computer Vision
Gurkirt Singh, Suman Saha, Michael Sapienza, Philip Torr, and Fabio Cuzzolin. 2017 · 2017
Closest in time.
A Pursuit of Temporal Accuracy in General Activity Detection
Yuanjun Xiong, Yue Zhao, Limin Wang, Dahua Lin, and Xiaoou Tang. 2017 · 2017
Closest in time.
Temporal Action Localization by Structured Maximal Sums. In IEEE Conference on Computer Vision and Pattern Recognition . 3684–3692
Zehuan Yuan, Jonathan C Stroud, Tong Lu, and Jia Deng. 2017 · 2017
Closest in time.
Temporal Action Detection with Structured Segment Networks. In IEEE International Conference on Computer Vision
Yue Zhao, Yuanjun Xiong, Limin Wang, Zhirong Wu, Xiaoou Tang, and Dahua Lin. 2017 · 2017
Closest in time.
TORNADO: A Spatio-Temporal Convolutional Regression Network for Video Action Proposal. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition . 5813–5821
Hongyuan Zhu, Romain Vial, and Shijian Lu. 2017 · 2017
Closest in time.
Action completion: A temporal model for moment detection. In Proceedings of the British Machine Vision Conference (BMVC)
Farnoosh Heidarivincheh, Majid Mirmehdi, and Dima Damen. 2018 · 2018
Closest in time.
Sequential anatomy localization in fetal echocardiography videos
A. Patra and J. A. Noble. 2018 · 2018
Closest in time.
RSDNet: Learning to predict remaining surgery duration from laparoscopic videos without manual annotations
Andru Putra Twinanda, Gaurav Yengera, Didier Mutter, Jacques Marescaux, and Nicolas Padoy. 2018 · 2018
Closest in time.
Temporal Cycle-Consistency Learning. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition . 1801–1810
Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Pierre Sermanet, and Andrew Zisserman. 2019 · 2019
Closest in time.
Weakly-Supervised Completion Moment Detection using Temporal Attention. In Proceedings of the IEEE International Conference on Computer Vision Workshops
Farnoosh Heidarivincheh, Majid Mirmehdi, and Dima Damen. 2019 · 2019
Closest in time.
Peeking into the future: Predicting future person activities and locations in videos. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition . 5725–5734
Junwei Liang, Lu Jiang, Juan Carlos Niebles, Alexander G Hauptmann, and Li Fei-Fei. 2019 · 2019
Closest in time.
Completeness modeling and context separation for weakly supervised temporal action localization. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition . 1298–1307
Daochang Liu, Tingting Jiang, and Yizhou Wang. 2019 · 2019
Closest in time.
Gaussian temporal awareness networks for action localization. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition . 344–353
Fuchen Long, Ting Yao, Zhaofan Qiu, Xinmei Tian, Jiebo Luo, and Tao Mei. 2019 · 2019
Closest in time.
Future Event Prediction: If and When. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops
A. Neumann and Andrew Zisserman. 2019 · 2019
Closest in time.
Weakly-supervised action localization with background modeling. In Proceedings of the IEEE International Conference on Computer Vision . 5502–5511
Phuc Xuan Nguyen, Deva Ramanan, and Charless C Fowlkes. 2019 · 2019
Closest in time.
Temporal recurrent networks for online action detection. In Proceedings of the IEEE International Conference on Computer Vision . 5532–5541
Mingze Xu, Mingfei Gao, Yi-Ting Chen, Larry S Davis, and David J Crandall. 2019 · 2019
Closest in time.
Guess where? actor-supervision for spatiotemporal action localization
Victor Escorcia, Cuong D Dao, Mihir Jain, Bernard Ghanem, and Cees Snoek. 2020 · 2020
Closest in time.