Liandong Li

According to our database1, Liandong Li authored at least 13 papers between 2014 and 2019.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2019
Combining Visual and Movement Modalities for No-audio Speech Setection.
Proceedings of the Working Notes Proceedings of the MediaEval 2019 Workshop, 2019

2018
Edge Convolutional Network for Facial Action Intensity Estimation.
Proceedings of the 13th IEEE International Conference on Automatic Face & Gesture Recognition, 2018

2017
Automatic temporal segment detection via bilateral long short-term memory recurrent neural networks.
J. Electronic Imaging, 2017

A new deep-learning framework for group emotion recognition.
Proceedings of the 19th ACM International Conference on Multimodal Interaction, 2017

Combining Sequential Geometry and Texture Features for Distinguishing Genuine and Deceptive Emotions.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Local-global ranking for facial expression intensity estimation.
Proceedings of the Seventh International Conference on Affective Computing and Intelligent Interaction, 2017

2016
Combining feature-level and decision-level fusion in a hierarchical classifier for emotion recognition in the wild.
J. Multimodal User Interfaces, 2016

Facial expression recognition in the wild based on multimodal texture features.
J. Electronic Imaging, 2016

Exploring Multimodal Visual Features for Continuous Affect Recognition.
Proceedings of the 6th International Workshop on Audio/Visual Emotion Challenge, 2016

LSTM for dynamic emotion and group emotion recognition in the wild.
Proceedings of the 18th ACM International Conference on Multimodal Interaction, 2016

Audio-Video Based Multimodal Emotion Recognition Using SVMs and Deep Learning.
Proceedings of the Pattern Recognition - 7th Chinese Conference, 2016

2015
Combining Multimodal Features within a Fusion Network for Emotion Recognition in the Wild.
Proceedings of the 2015 ACM on International Conference on Multimodal Interaction, Seattle, WA, USA, November 09, 2015

2014
Combining Multimodal Features with Hierarchical Classifier Fusion for Emotion Recognition in the Wild.
Proceedings of the 16th International Conference on Multimodal Interaction, 2014


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