Temporal Convolutional Networks
Temporal Convolutional Network is a type of convolutional neural network architecture that employs dilated causal convolutions to model temporal dependencies in sequential data, distinguishing itself by enabling parallelizable training and long-range context capture without recurrence.
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80.8K
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4K
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966
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2017–2026
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Beyond short snippets: Deep networks for video classification
Joe Yue-Hei Ng, Matthew Hausknecht, Sudheendra Vijayanarasimhan et al. · 2015 · 2.1K citations
Temporal Convolutional Networks for Action Segmentation and Detection
Colin Lea, M. D. Flynn, René Vidal et al. · 2017 · 2K citations
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966

Chinese Academy of Sciences
Beijing, China
26 h-index
109 publications
5.7K citations
University of Chinese Academy of Sciences
Beijing, China
21 h-index
83 publications
4K citations
Tsinghua University
Beijing, China
21 h-index
63 publications
3.7K citations

Shanghai Jiao Tong University
Shanghai, China
19 h-index
53 publications
3.7K citations

Huazhong University of Science and Technology
Wuhan, China
19 h-index
72 publications
4.3K citations

Beihang University
Beijing, China
17 h-index
58 publications
3.3K citations
Shandong University
Jinan, China
15 h-index
43 publications
2.4K citations
National University of Singapore
Singapore, Singapore
14 h-index
27 publications
1.6K citations
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Repository · 89 publications · 10.3K citations
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36 publications · 1.8K citations
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20 publications · 986 citations
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21 publications · 642 citations
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Conference · 18 publications · 1.4K citations
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