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We address the problem of activity detection in continuous, untrimmed video streams.
Learning Realistic Human Actions from Movies
I. Laptev, M. Marszalek, C. Schmid, and B. Rozenfeld · 2008
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Object Detection with Discriminatively Trained Part Based Models
P. F. Felzenszwalb, R. B. Girshick, D. McAllester, and D. Ramanan · 2010
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CPMC: Automatic Object Segmentation using Constrained Parametric Min-cuts
J. Carreira and C. Sminchisescu · 2012
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3D Convolutional Neural Networks for Human Action Recognition
S. Ji, W. Xu, M. Yang, and K. Yu · 2013
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Deep Neural Networks for Object Detection
C. Szegedy, A. Toshev, and D. Erhan · 2013
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Action Recognition with Improved Trajectories
H. Wang and C. Schmid · 2013
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Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
R. Girshick, J. Donahue, T. Darrell, and J. Malik · 2014
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THUMOS Challenge: Action Recognition with a Large Number of Classes
Y.-G. Jiang, J. Liu, A. R. Zamir, G. Toderici, I. Laptev, M. Shah, and R. Sukthankar · 2014
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Fast Saliency Based Pooling of Fisher Encoded Dense Trajectories
S. Karaman, L. Seidenari, and A. D. Bimbo · 2014
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Large-scale Video Classification with Convolutional Neural Networks
A. Karpathy, G. Toderici, S. Shetty, T. Leung, R. Sukthankar, and L. Fei-Fei · 2014
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The LEAR submission at Thumos 2014
D. Oneata, J. Verbeek, and C. Schmid · 2014
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Two-stream Convolutional Networks for Action Recognition in Videos
K. Simonyan and A. Zisserman · 2014
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Video Action Detection with Relational Dynamic-Poselets
L. Wang, Y. Qiao, and X. Tang · 2014
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Action Recognition and Detection by Combining Motion and Appearance Features
L. Wang, Y. Yu Qiao, and X. Tang · 2014
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Fast R-CNN
R. Girshick · 2015
Cited alongside, same era.
ActivityNet: A Large-Scale Video Benchmark for Human Activity Understanding
F. C. Heilbron, V. Escorcia, B. Ghanem, and J. C. Niebles · 2015
Cited alongside, same era.
Beyond Short Snippets: Deep Networks for Video Classification
J. Y.-H. Ng, M. Hausknecht, S. Vijayanarasimhan, O. Vinyals, R. Monga, and G. Toderici · 2015
Cited alongside, same era.
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
S. Ren, K. He, R. Girshick, and J. Sun · 2015
Cited alongside, same era.
Very Deep Convolutional Networks for Large-scale Image Recognition
K. Simonyan and A. Zisserman · 2015
Cited alongside, same era.
Learning Spatiotemporal Features with 3D Convolutional Networks
D. Tran, L. Bourdev, R. Fergus, L. Torresani, and M. Paluri · 2015
Cited alongside, same era.
Learning Activity Progression in LSTMs for Activity Detection and Early Detection
S. Ma, L. Sigal, and S. Sclaroff · 2016
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Temporal Activity Detection in Untrimmed Videos with Recurrent Neural Networks
A. Montes, A. Salvador, and X. G. i Nieto · 2016
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Temporal Action Detection Using a Statistical Language Model
A. Richard and J. Gall · 2016
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Temporal Action Localization in Untrimmed Videos via Multi-stage CNNs
Z. Shou, D. Wang, and S.-F. Chang · 2016
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Hollywood in Homes: Crowdsourcing Data Collection for Activity Understanding
G. A. Sigurdsson, G. Varol, X. Wang, A. Farhadi, I. Laptev, and A. Gupta · 2016
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Learning to Track for Spatio-Temporal Action Localization
P. Weinzaepfel, Z. Harchaoui, and C. Schmid · 2015
Cited alongside, same era.
Fast Action Proposals for Human Action Detection and Search
G. Yu and J. Yuan · 2015
Cited alongside, same era.
http://activity-net.org/challenges/2016/data/anet_challenge_summary.pdf , 2016
ActivitNet Large Scale Activity Recognition Challenge · 2016
Cited alongside, same era.
R-FCN: Object Detection via Region-based Fully Convolutional Networks
J. Dai, Y. Li, K. He, and J. Sun · 2016
Cited alongside, same era.
DAPs: Deep Action Proposals for Action Understanding
V. Escorcia, F. C. Heilbron, J. C. Niebles, and B. Ghanem · 2016
Cited alongside, same era.
Deep Residual Learning for Image Recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
Cited alongside, same era.
B. Singh, T. K. Marks, M. Jones, O. Tuzel, and M. Shao · 2016
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Untrimmed Video Classification for Activity Detection: submission to ActivityNet Challenge
G. Singh and F. Cuzzolin · 2016
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Actionness Estimation using Hybrid Fully Convolutional Networks
L. Wang, Y. Qiao, X. Tang, and L. V. Gool · 2016
Later among the works it cites.
End-to-end Learning of Action Detection from Frame Glimpses in Videos
S. Yeung, O. Russakovsky, G. Mori, and L. Fei-Fei · 2016
Later among the works it cites.
Temporal Action Localization with Pyramid of Score Distribution Features
J. Yuan, B. Ni, X. Yang, and A. A. Kassim · 2016
Later among the works it cites.
Cross-view Action Recognition via Transferable Dictionary Learning
J. Zheng, Z. Jiang, and R. Chellappa · 2016
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CDC: Convolutional-De-Convolutional Networks for Precise Temporal Action Localization in Untrimmed Videos
Z. Shou, J. Chan, A. Zareian, K. Miyazaway, and S.-F. Chang · 2017
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Asynchronous Temporal Fields for Action Recognition
G. A. Sigurdsson, S. Divvala, A. Farhadi, and A. Gupta · 2017
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UntrimmedNets for Weakly Supervised Action Recognition and Detection
L. Wang, Y. Xiong, D. Lin, and L. V. Gool · 2017
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