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Many human activities take minutes to unfold.
Videograph: a new tool for video mining and classification
Jia-Yu Pan and Christos Faloutsos · 2001
Earlier work this paper cites.
Visualizing data using t-sne
Laurens van der Maaten and Geoffrey Hinton · 2008
Earlier work this paper cites.
Exploring network structure, dynamics, and function using networkx
Aric A. Hagberg, Daniel A. Schult, and Pieter J. Swart · 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.
Actom sequence models for efficient action detection
Adrien Gaidon, Zaid Harchaoui, and Cordelia Schmid · 2011
Earlier work this paper cites.
Scikit-learn: Machine learning in Python
F. Pedregosa, G. Varoquaux, A. Gramfort, V. Michel, B. Thirion, O. Grisel, M. Blondel, P. Prettenhofer, R. Weiss, V. Dubourg, J. Vanderplas, A. Passos, D. Cournapeau, M. Brucher, M. Perrot, and E. Duchesnay · 2011
Earlier work this paper cites.
Ucf101: A dataset of 101 human actions classes from videos in the wild
Khurram Soomro, Amir Roshan Zamir, and Mubarak Shah · 2012
Earlier work this paper cites.
Action and event recognition with fisher vectors on a compact feature set
Dan Oneata, Jakob Verbeek, and Cordelia Schmid · 2013
Earlier work this paper cites.
Combining embedded accelerometers with computer vision for recognizing food preparation activities
Sebastian Stein and Stephen J McKenna · 2013
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.
Large-scale video classification with convolutional neural networks
Andrej Karpathy, George Toderici, Sanketh Shetty, Thomas Leung, Rahul Sukthankar, and Li Fei-Fei · 2014
Earlier work this paper cites.
Reconstructing storyline graphs for image recommendation from web community photos
Gunhee Kim and Eric P Xing · 2014
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.
Eventnet: A large scale structured concept library for complex event detection in video
Guangnan Ye, Yitong Li, Hongliang Xu, Dong Liu, and Shih-Fu Chang · 2015
Earlier work this paper cites.
Storyline representation of egocentric videos with an applications to story-based search
Bo Xiong, Gunhee Kim, and Leonid Sigal · 2015
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Tensorflow
Martín Abadi et al · 2015
Earlier work this paper cites.
Hollywood in homes: Crowdsourcing data collection for activity understanding
Gunnar A Sigurdsson, Gúl Varol, Xiaolong Wang, Ali Farhadi, Ivan Laptev, and Abhinav Gupta · 2016
Earlier work this paper cites.
Temporal segment networks: Towards good practices for deep action recognition
Limin Wang, Yuanjun Xiong, Zhe Wang, Yu Qiao, Dahua Lin, Xiaoou Tang, and Luc Van Gool · 2016
Earlier work this paper cites.
Youtube-8m: A large-scale video classification benchmark
Sami Abu-El-Haija, Nisarg Kothari, Joonseok Lee, Paul Natsev, George Toderici, Balakrishnan Varadarajan, and Sudheendra Vijayanarasimhan · 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.
Learning convolutional neural networks for graphs
Mathias Niepert, Mohamed Ahmed, and Konstantin Kutzkov · 2016
Earlier work this paper cites.
Convolutional neural networks on graphs with fast localized spectral filtering
Michaël Defferrard, Xavier Bresson, and Pierre Vandergheynst · 2016
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Unified embedding and metric learning for zero-exemplar event detection
Noureldien Hussein, Efstratios Gavves, and Arnold WM Smeulders · 2017
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Spatio-temporal vlad encoding for human action recognition in videos
Ionut C Duta, Bogdan Ionescu, Kiyoharu Aizawa, and Nicu Sebe · 2017
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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.
What actions are needed for understanding human actions in videos?
Timeception for complex action recognition
Noureldien Hussein, Efstratios Gavves, and Arnold WM Smeulders · 2018
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Video time: Properties, encoders and evaluation
Amir Ghodrati, Efstratios Gavves, and Cees GM Snoek · 2018
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What makes a video a video: Analyzing temporal information in video understanding models and datasets
De-An Huang, Vignesh Ramanathan, Dhruv Mahajan, Lorenzo Torresani, Manohar Paluri, Li Fei-Fei, and Juan Carlos Niebles · 2018
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Scaling egocentric vision: The epic-kitchens dataset
Dima Damen, Hazel Doughty, Giovanni Maria Farinella, Sanja Fidler, Antonino Furnari, Evangelos Kazakos, Davide Moltisanti, Jonathan Munro, Toby Perrett, Will Price, et al · 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
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Non-local neural networks
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Gunnar A Sigurdsson, Olga Russakovsky, and Abhinav Gupta · 2017
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Quo vadis, action recognition? a new model and the kinetics dataset
Joao Carreira and Andrew Zisserman · 2017
Cited alongside, same era.
Attentional pooling for action recognition
Rohit Girdhar and Deva Ramanan · 2017
Cited alongside, same era.
Learnable pooling with context gating for video classification
Antoine Miech, Ivan Laptev, and Josef Sivic · 2017
Cited alongside, same era.
Concurrent activity recognition with multimodal cnn-lstm structure
Xinyu Li, Yanyi Zhang, Jianyu Zhang, Shuhong Chen, Ivan Marsic, Richard A Farneth, and Randall S Burd · 2017
Cited alongside, same era.
Asynchronous temporal fields for action recognition
Gunnar A Sigurdsson, Santosh Divvala, Ali Farhadi, and Abhinav Gupta · 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.
Xiaolong Wang, Ross Girshick, Abhinav Gupta, and Kaiming He · 2018
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Moments in time dataset: one million videos for event understanding
Mathew Monfort, Bolei Zhou, Sarah Adel Bargal, Alex Andonian, Tom Yan, Kandan Ramakrishnan, Lisa Brown, Quanfu Fan, Dan Gutfruend, Carl Vondrick, et al · 2018
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Towards automatic learning of procedures from web instructional videos
Luowei Zhou, Chenliang Xu, and Jason J Corso · 2018
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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
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Graph-based global reasoning network
Yunpeng Chen, Marcus Rohrbach, Zhicheng Yan, Shuicheng Yan, Jiashi Feng, and Yannis Kalantidis · 2018
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Videos as space-time region graphs
Xiaolong Wang and Abhinav Gupta · 2018
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Finding “it”: Weakly-supervised reference-aware visual grounding in instructional videos
Huang De-An, Shyamal Buch, Lucio Dery, Animesh Garg, Li Fei-Fei, and Juan Carlos Niebles · 2018
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Video action transformer network
Rohit Girdhar, Joäo Carreira, Carl Doersch, and Andrew Zisserman · 2018
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Neural task graphs: Generalizing to unseen tasks from a single video demonstration
De-An Huang, Suraj Nair, Danfei Xu, Yuke Zhu, Animesh Garg, Li Fei-Fei, Silvio Savarese, and Juan Carlos Niebles · 2018
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How to make a blt sandwich? learning to reason towards understanding web instructional videos
Shaojie Wang, Wentian Zhao, Ziyi Kou, and Chenliang Xu · 2018
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Long-term feature banks for detailed video understanding
Chao-Yuan Wu, Christoph Feichtenhofer, Haoqi Fan, Kaiming He, Philipp Krähenbühl, and Ross Girshick · 2018
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Graph attention networks
Petar Veličković, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Lio, and Yoshua Bengio · 2018
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Videolstm convolves, attends and flows for action recognition
Zhenyang Li, Kirill Gavrilyuk, Efstratios Gavves, Mihir Jain, and Cees GM Snoek · 2018
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Interaction-aware spatio-temporal pyramid attention networks for action classification
Yang Du, Chunfeng Yuan, Bing Li, Lili Zhao, Yangxi Li, and Weiming Hu · 2018
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Action recognition with spatio-temporal visual attention on skeleton image sequences
Zhengyuan Yang, Yuncheng Li, Jianchao Yang, and Jiebo Luo · 2018
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