Self-Supervised Approach for Facial Movement Based Optical Flow

Author:

Alkaddour Muhannad1,Tariq Usman1ORCID,Dhall Abhinav2ORCID

Affiliation:

1. American University of Sharjah, Sharjah, UAE

2. Indian Institute of Technology Ropar, Rupnagar, Punjab, India

Funder

FRG17-R44

College of Engineering

Open Access Program

American University of Sharjah

Australian Research Council

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Human-Computer Interaction,Software

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Emotion Recognition from Micro-Expressions using Logistic Regression and Stochastic Gradient Descent;2024 International Conference on Communication, Computing and Internet of Things (IC3IoT);2024-04-17

2. Unsupervised Learning of Facial Optical Flow via Occlusion-Aware Global-Local Matching;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

3. A Review of Advancements in Facial Emotion Recognition and Detection Using Deep Learning;2024 International Conference on Social and Sustainable Innovations in Technology and Engineering (SASI-ITE);2024-02-23

4. Emotion Recognition Through Facial Expressions from Images Using Deep Learning Techniques;Lecture Notes in Networks and Systems;2024

5. Spatiotemporal feature enhancement network for action recognition;Multimedia Tools and Applications;2023-12-15

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