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This thesis explore different approaches using Convolutional and Recurrent Neural Networks to classify and temporally localize activities on videos, furthermore an implementation to achieve it has been proposed.
Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber · 1997
Earlier work this paper cites.
Learning spatiotemporal features with 3d convolutional networks
Du Tran, Lubomir Bourdev, Rob Fergus, Lorenzo Torresani, and Manohar Paluri · 2014
Earlier work this paper cites.
Delving deeper into convolutional networks for learning video representations
Nicolas Ballas, Li Yao, Chris Pal, and Aaron Courville · 2015
Earlier work this paper cites.
Rmsprop and equilibrated adaptive learning rates for non-convex optimization
Yann N Dauphin, Harm de Vries, Junyoung Chung, and Yoshua Bengio · 2015
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
Cited alongside, same era.
Contextual action recognition with r* cnn
Georgia Gkioxari, Ross Girshick, and Jitendra Malik · 2015
Cited alongside, same era.
Deep end2end voxel2voxel prediction
Du Tran, Lubomir Bourdev, Rob Fergus, Lorenzo Torresani, and Manohar Paluri · 2015
Cited alongside, same era.
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
Cited in the paper.
End-to-end learning of action detection from frame glimpses in videos
Serena Yeung, Olga Russakovsky, Greg Mori, and Li Fei-Fei
Cited in the paper.
Towards good practices for very deep two-stream convnets
Limin Wang, Yuanjun Xiong, Zhe Wang, and Yu Qiao · 2015
Later among the works it cites.
Describing videos by exploiting temporal structure
Li Yao, Atousa Torabi, Kyunghyun Cho, Nicolas Ballas, Christopher Pal, Hugo Larochelle, and Aaron Courville · 2015
Later among the works it cites.
Temporal action localization in untrimmed videos via multi-stage cnns
Zheng Shou, Dongang Wang, and Shih-Fu Chang · 2016
Closest in time.
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