no code implementations • 8 Feb 2020 • Muzammil Behzad, Nhat Vo, Xiaobai Li, Guoying Zhao
Importantly, we then present a sparsity-aware deep network to compute the sparse representations of convolutional features over multi-views.
Facial Expression Recognition Facial Expression Recognition (FER)
no code implementations • 11 Oct 2019 • Muzammil Behzad, Nhat Vo, Xiaobai Li, Guoying Zhao
We propose a novel landmarks-assisted collaborative end-to-end deep framework for automatic 4D FER.
Facial Expression Recognition Facial Expression Recognition (FER)
no code implementations • 7 May 2019 • Muzammil Behzad, Nhat Vo, Xiaobai Li, Guoying Zhao
This paper proposes a novel 4D Facial Expression Recognition (FER) method using Collaborative Cross-domain Dynamic Image Network (CCDN).
Facial Expression Recognition Facial Expression Recognition (FER)
no code implementations • 23 Jun 2018 • Muzammil Behzad, Manal Abdullah, Muhammad Talal Hassan, Yao Ge, Mahmood Ashraf Khan
In this paper, we propose a novel framework for performance optimization in Internet of Things (IoT)-based next-generation wireless sensor networks.
no code implementations • 1 May 2018 • Muzammil Behzad
In this paper, we propose a novel image denoising algorithm exploiting features from both spatial as well as transformed domain.
no code implementations • 9 Sep 2016 • Muzammil Behzad, Mudassir Masood, Tarig Ballal, Maha Shadaydeh, Tareq Y. Al-Naffouri
For sparse reconstruction, the likelihood of a tap being active in a patch is computed and refined through a collaboration process with other similar patches in the same group.