Action Recognition with 3D ConvNet-GRU Architecture-Reference-Cited by-同舟云学术

Action Recognition with 3D ConvNet-GRU Architecture

Published:2018 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 3rd International Conference on Robotics, Control and Automation - ICRCA '18
language:
Short-container-title:

Author:

Yao Guangle¹,Liu Xianyuan²,Lei Tao³

Affiliation:

1. Institute of Optics and Electronics, Chinese Academy of Science, University of Electronic Science and Technology of China, University of Chinese Academy of Sciences

2. Institute of Optics and Electronics, Chinese Academy of Science, University of Chinese Academy of Sciences

3. Institute of Optics and Electronics, Chinese Academy of Science

Publisher

ACM Press

Reference39 articles.

1. Lecun, Y., Bottou, L., Bengio, Y., and Haffner, P. 1998. Gradient-based learning applied to document recognition. In Proceedings of the IEEE.

2. Krizhevsky, A., Sutskever, I. and Hinton, G. 2012. Imagenet classification with deep convolutional neural networks. In Proceedings of the Annual Conference on Neural Information Processing Systems.

3. Girshick, R., Donahue, J., Darrell, T. and Malik, J. 2014. Rich feature hierarchies for accurate object detection and semantic segmentation. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.

4. Farabet, C., Couprie, C. and LeCun, Y. 2013. Learning hierarchical features for scene labeling. IEEE Trans. Pattern Anal. Mach. Intell.

5. Long, J., Shelhamer, E. and Darrell, T. 2015. Fully convolutional networks for semantic segmentation. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. 3D Feature Extraction Network Based on Self-supervision for Micro-expression Spotting;2024 3rd International Conference on Image Processing and Media Computing (ICIPMC);2024-05-17

2. Toward trustworthy human suspicious activity detection from surveillance videos using deep learning;Soft Computing;2023-03-10

3. Using BlazePose on Spatial Temporal Graph Convolutional Networks for Action Recognition;Computers, Materials & Continua;2023

4. AGRFNet: Two-stage cross-modal and multi-level attention gated recurrent fusion network for RGB-D saliency detection;Signal Processing: Image Communication;2022-05

5. Late Fusion of Bayesian and Convolutional Models for Action Recognition;2020 25th International Conference on Pattern Recognition (ICPR);2021-01-10