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Result Paper URL Peer Reviewed Year
Result Paper URL Peer Reviewed Year
71.08 Multi-region two-stream R-CNN for action detection[Xiaojiang Peng, Cordelia Schmid] URL Yes 2016
62.5 Finding Action Tubes[Georgia Gkioxari, Jitendra Malik] URL Yes 2015
72.2 P-CNN: Pose-based CNN Features for Action Recognition[Guilhem Cheron, Ivan Laptev, Cordelia Schmid] URL Yes 2015
69.03 Action Recognition with Stacked Fisher Vectors[Xiaojiang Peng, Changqing Zou, Yu Qiao, Qiang Peng] URL Yes 2014
73.3 Higher-order Pooling of CNN Features via Kernel Linearization for Action Recognition[A. Cherian, P. Koniusz, S. Gould] URL Yes 2017
73.7 Generalized Rank Pooling for Activity Recognition[Anoop Cherian, Basura Fernando, Mehrtash Harandi, Stephen Gould] URL Yes 2017
76.1 Chained Multi-stream Networks Exploiting Pose, Motion, and Appearance for Action Classification and Detection[Mohammadreza Zolfaghari , Gabriel L. Oliveira, Nima Sedaghat, Thomas Brox] URL Yes 2017
67.2 An End-to-end 3D Convolutional Neural Network for Action Detection and Segmentation in Videos[Rui Hou and Chen Chen and Mubarak Shah] URL No 2017
85.5 PoTion: Pose MoTion Representation for Action Recognition[Vasileios Choutas, Philippe Weinzaepfel, Jérôme Revaud, Cordelia Schmid] URL Yes 2018
57 PoTion: Pose MoTion Representation for Action Recognition[Vasileios Choutas, Philippe Weinzaepfel, Jérôme Revaud, Cordelia Schmid] URL Yes 2018
74.2 Non-Linear Temporal Subspace Representations for Activity Recognition[Anoop Cherian, Suvrit Sra, Stephen Gould, Richard Hartley] URL Yes 2018
62.9 Adding Attentiveness to the Neurons in Recurrent Neural Networks[Pengfei Zhang, Jianru Xue, Cuiling Lan, Wenjun Zeng, Zhanning Gao, Nanning Zheng] URL Yes 2018

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