Wei Li

Orcid: 0000-0002-7787-8730

Affiliations:
  • City University of New York, CUNY City College, Department of Electrical Engineering, NY, USA


According to our database1, Wei Li authored at least 10 papers between 2014 and 2018.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2018
EAC-Net: Deep Nets with Enhancing and Cropping for Facial Action Unit Detection.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

A recursive framework for expression recognition: from web images to deep models to game dataset.
Mach. Vis. Appl., 2018

Emotion Analysis Using Audio/Video, EMG and EEG: A Dataset and Comparison Study.
Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

2017
EAC-Net: A Region-Based Deep Enhancing and Cropping Approach for Facial Action Unit Detection.
Proceedings of the 12th IEEE International Conference on Automatic Face & Gesture Recognition, 2017

Action Unit Detection with Region Adaptation, Multi-labeling Learning and Optimal Temporal Fusing.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Learning and Fusing Multimodal Features from and for Multi-task Facial Computing.
CoRR, 2016

Towards an "In-the-Wild" Emotion Dataset Using a Game-Based Framework.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

2015
A deep-learning approach to facial expression recognition with candid images.
Proceedings of the 14th IAPR International Conference on Machine Vision Applications, 2015

A Deep Feature based Multi-kernel Learning Approach for Video Emotion Recognition.
Proceedings of the 2015 ACM on International Conference on Multimodal Interaction, Seattle, WA, USA, November 09, 2015

2014
Face Recognition by 3D Registration for the Visually Impaired Using a RGB-D Sensor.
Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014


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