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Recurrent semi-supervised classification and constrained adversarial generation with motion capture data

  • Published:2018-10 Issue: Volume:78 Page:42-52
  • ISSN:0262-8856
  • Container-title:Image and Vision Computing
  • language:en
  • Short-container-title:Image and Vision Computing

Author:

Harvey Félix G.,Roy Julien,Kanaa David,Pal Christopher

Publisher

Elsevier BV

Subject

Computer Vision and Pattern Recognition,Signal Processing

Reference57 articles.

1. Ongoing human action recognition with motion capture;Barnachon;Pattern Recogn.,2014

2. Greedy layer-wise training of deep networks;Bengio;Adv. Neural Inf. Proces. Syst.,2007

3. Benchmarking of LSTM Networks;Breuel,2015

4. Bio-inspired dynamic 3D discriminative skeletal features for human action recognition;Chaudhry,2013

5. Classification of RGB-D and motion capture sequences using extreme learning machine;Chen,2013

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1. The application of body symbols in contemporary art from the perspective of Da Vinci’s theory;Applied Mathematics and Nonlinear Sciences;2023-06-02

2. A Multi-Task Motion Generation Model that Fuses a Discriminator and a Generator;Computers, Materials & Continua;2023

3. Research and Prospect of 3D Virtual Display Technology of Clothing;2022 International Seminar on Computer Science and Engineering Technology (SCSET);2022-01

4. Trajevae: Controllable Human Motion Generation from Trajectories;SSRN Electronic Journal;2022

5. Dance Basic Training Methods Based on Motion Capture Technology;2021 2nd International Conference on Computers, Information Processing and Advanced Education;2021-05-25
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