Learning Spatiotemporal Features With 3D Convolutional Networks

Articles citing Learning Spatiotemporal Features With 3D Convolutional Networks

Title / Author	Year
Temporal segment networks: Towards good practices for deep action recognition L Wang, Y Xiong, Z Wang, Y Qiao, D Lin, X Tang, L Van Gool European conference on computer vision, 20-36	2016
Convolutional two-stream network fusion for video action recognition C Feichtenhofer, A Pinz, A Zisserman Proceedings of the IEEE conference on computer vision and pattern …	2016
Real-time single image and video super-resolution using an efficient sub-pixel convolutional neural network W Shi, J Caballero, F Huszár, J Totz, AP Aitken, R Bishop, D Rueckert, ... Proceedings of the IEEE conference on computer vision and pattern …	2016
Quo vadis, action recognition? a new model and the kinetics dataset J Carreira, A Zisserman proceedings of the IEEE Conference on Computer Vision and Pattern …	2017
Recent advances in convolutional neural networks J Gu, Z Wang, J Kuen, L Ma, A Shahroudy, B Shuai, T Liu, X Wang, ... Pattern Recognition 77, 354-377	2018
Action-conditional video prediction using deep networks in atari games J Oh, X Guo, H Lee, RL Lewis, S Singh Advances in neural information processing systems, 2863-2871	2015
Non-local neural networks X Wang, R Girshick, A Gupta, K He Proceedings of the IEEE Conference on Computer Vision and Pattern …	2018
The kinetics human action video dataset W Kay, J Carreira, K Simonyan, B Zhang, C Hillier, S Vijayanarasimhan, ... arXiv preprint arXiv:1705.06950	2017
Long-term temporal convolutions for action recognition G Varol, I Laptev, C Schmid IEEE transactions on pattern analysis and machine intelligence 40 (6), 1510-1517	2017
Deep learning in remote sensing: A comprehensive review and list of resources XX Zhu, D Tuia, L Mou, GS Xia, L Zhang, F Xu, F Fraundorfer IEEE Geoscience and Remote Sensing Magazine 5 (4), 8-36	2017
Dynamic image networks for action recognition H Bilen, B Fernando, E Gavves, A Vedaldi, S Gould Proceedings of the IEEE Conference on Computer Vision and Pattern …	2016
Jointly modeling embedding and translation to bridge video and language Y Pan, T Mei, T Yao, H Li, Y Rui Proceedings of the IEEE conference on computer vision and pattern …	2016
Temporal action localization in untrimmed videos via multi-stage cnns Z Shou, D Wang, SF Chang Proceedings of the IEEE Conference on Computer Vision and Pattern …	2016
A review on deep learning techniques applied to semantic segmentation A Garcia-Garcia, S Orts-Escolano, S Oprea, V Villena-Martinez, ... arXiv preprint arXiv:1704.06857	2017
A review of affective computing: From unimodal analysis to multimodal fusion S Poria, E Cambria, R Bajpai, A Hussain Information Fusion 37, 98-125	2017
Spatiotemporal residual networks for video action recognition C Feichtenhofer, A Pinz, R Wildes Advances in neural information processing systems, 3468-3476	2016
Structural-RNN: Deep learning on spatio-temporal graphs A Jain, AR Zamir, S Savarese, A Saxena Proceedings of the IEEE Conference on Computer Vision and Pattern …	2016
Semantic pooling for complex event analysis in untrimmed videos X Chang, YL Yu, Y Yang, EP Xing IEEE transactions on pattern analysis and machine intelligence 39 (8), 1617-1632	2016
Going deeper into action recognition: A survey S Herath, M Harandi, F Porikli Image and vision computing 60, 4-21	2017
Group normalization Y Wu, K He Proceedings of the European Conference on Computer Vision (ECCV), 3-19	2018

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