Zhen Gao

Affiliations:
  • University of Science and Technology of China, Key Lab of Computing and Communication Software of Anhui Province, Hefei, China


According to our database1, Zhen Gao authored at least 14 papers between 2014 and 2017.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2017
Feature and label relation modeling for multiple-facial action unit classification and intensity estimation.
Pattern Recognit., 2017

Personalized video emotion tagging through a topic model.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016
Facial expression recognition through modeling age-related spatial patterns.
Multim. Tools Appl., 2016

Gender recognition from visible and thermal infrared facial images.
Multim. Tools Appl., 2016

Emotion Recognition from EEG Signals Enhanced by User's Profile.
Proceedings of the 2016 ACM on International Conference on Multimedia Retrieval, 2016

Employing subjects' information as privileged information for emotion recognition from EEG signals.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Implicit hybrid video emotion tagging by integrating video content and users' multiple physiological responses.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Emotion recognition from peripheral physiological signals enhanced by EEG.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
Emotion Recognition from EEG Signals by Leveraging Stimulus Videos.
Proceedings of the Advances in Multimedia Information Processing - PCM 2015, 2015

Multiple Aesthetic Attribute Assessment by Exploiting Relations Among Aesthetic Attributes.
Proceedings of the 5th ACM on International Conference on Multimedia Retrieval, 2015

Emotion Recognition from EEG Signals using Hierarchical Bayesian Network with Privileged Information.
Proceedings of the 5th ACM on International Conference on Multimedia Retrieval, 2015

2014
Emotion recognition from thermal infrared images using deep Boltzmann machine.
Frontiers Comput. Sci., 2014

Capture expression-dependent AU relations for expression recognition.
Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, 2014

Facial Action Unit recognition by relation modeling from both qualitative knowledge and quantitative data.
Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, 2014


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