Mohammad Tavakolian

According to our database, Mohammad Tavakolian authored at least 15 papers between 2013 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Efficient spatiotemporal representation learning for pain intensity estimation from facial expressions.

Mohammad Tavakolian

PhD thesis, 2021

Deep Learning for Scene Classification: A Survey.

Delu Zeng, Minyu Liao, Mohammad Tavakolian, Yulan Guo, Bolei Zhou, Dewen Hu, Matti Pietikäinen, Li Liu

CoRR, 2021

Semi-Supervised Few-Shot Class-Incremental Learning.

Yawen Cui, Wuti Xiong, Mohammad Tavakolian, Li Liu

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2020

Self-supervised pain intensity estimation from facial videos via statistical spatiotemporal distillation.

Mohammad Tavakolian, Miguel Bordallo López, Li Liu

Pattern Recognit. Lett., 2020

2019

A Spatiotemporal Convolutional Neural Network for Automatic Pain Intensity Estimation from Facial Dynamics.

Mohammad Tavakolian, Abdenour Hadid

Int. J. Comput. Vis., 2019

AVD: Adversarial Video Distillation.

Mohammad Tavakolian, Mohammad Sabokrou, Abdenour Hadid

CoRR, 2019

AWSD: Adaptive Weighted Spatiotemporal Distillation for Video Representation.

Mohammad Tavakolian, Hamed Rezazadegan Tavakoli, Abdenour Hadid

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Learning to Detect Genuine versus Posed Pain from Facial Expressions using Residual Generative Adversarial Networks.

Mohammad Tavakolian, Carlos Guillermo Bermudez Cruces, Abdenour Hadid

Proceedings of the 14th IEEE International Conference on Automatic Face & Gesture Recognition, 2019

Video Classification Using Deep Autoencoder Network.

Farshid Hajati, Mohammad Tavakolian

Proceedings of the Complex, Intelligent, and Software Intensive Systems, 2019

2018

Deep Spatiotemporal Representation of the Face for Automatic Pain Intensity Estimation.

Mohammad Tavakolian, Abdenour Hadid

Proceedings of the 24th International Conference on Pattern Recognition, 2018

Deep Binary Representation of Facial Expressions: A Novel Framework for Automatic Pain Intensity Recognition.

Mohammad Tavakolian, Abdenour Hadid

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Deep Discriminative Model for Video Classification.

Mohammad Tavakolian, Abdenour Hadid

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

Dynamic Texture Comparison Using Derivative Sparse Representation: Application to Video-Based Face Recognition.

Farshid Hajati, Mohammad Tavakolian, Soheila Gheisari, Yongsheng Gao, Ajmal S. Mian

IEEE Trans. Hum. Mach. Syst., 2017

2014

Spatiotemporal Derivative Pattern: A Dynamic Texture Descriptor for Video Matching.

Farshid Hajati, Mohammad Tavakolian, Soheila Gheisari, Ajmal Saeed Mian

Proceedings of the Computer Vision - ACCV 2014, 2014

2013

Sparse Variation Pattern for Texture Classification.

Mohammad Tavakolian, Farshid Hajati, Ajmal S. Mian, Soheila Gheisari

Proceedings of the 2013 International Conference on Digital Image Computing: Techniques and Applications, 2013