no code implementations • 22 Sep 2023 • Mohammad Akyash, Ali Zafari, Nasser M. Nasrabadi
The consistent improvement we observed in these benchmarks demonstrates the efficacy of our approach in enhancing FR performance.
no code implementations • 19 Sep 2023 • Atefeh Khoshkhahtinat, Ali Zafari, Piyush M. Mehta, Mohammad Akyash, Hossein Kashiani, Nasser M. Nasrabadi
In addition, we introduce a novel entropy model that incorporates two different hyperpriors to model cross-channel and spatial dependencies of the latent representation.
no code implementations • 14 Aug 2023 • Niloufar Alipour Talemi, Hossein Kashiani, Sahar Rahimi Malakshan, Mohammad Saeed Ebrahimi Saadabadi, Nima Najafzadeh, Mohammad Akyash, Nasser M. Nasrabadi
In this paper, we present a new multi-branch neural network that simultaneously performs soft biometric (SB) prediction as an auxiliary modality and face recognition (FR) as the main task.
no code implementations • 4 Aug 2023 • Ali Zafari, Atefeh Khoshkhahtinat, Piyush Mehta, Mohammad Saeed Ebrahimi Saadabadi, Mohammad Akyash, Nasser M. Nasrabadi
The design of a neural image compression network is governed by how well the entropy model matches the true distribution of the latent code.
1 code implementation • 1 Mar 2021 • Mohammad Akyash, Hoda Mohammadzade, Hamid Behroozi
The main challenge in training deep neural networks is the lack of sufficient data to improve the model's generalization and avoid overfitting.