1 code implementation • 25 Mar 2024 • Mohammad Saeed Ebrahimi Saadabadi, Ali Dabouei, Sahar Rahimi Malakshan, Nasser M. Nasrabad
Aiming to enhance the utilization of metric space by the parametric softmax classifier, recent studies suggest replacing it with a non-parametric alternative.
no code implementations • 18 Aug 2023 • Sahar Rahimi Malakshan, Mohammad Saeed Ebrahimi Saadabadi, Nima Najafzadeh, Nasser M. Nasrabadi
Deep convolutional neural networks have achieved remarkable success in face recognition (FR), partly due to the abundant data availability.
no code implementations • 18 Aug 2023 • Mohammad Saeed Ebrahimi Saadabadi, Sahar Rahimi Malakshan, Hossein Kashiani, Nasser M. Nasrabadi
However, these methods have shown a significant decline in performance when applied to real-world low-resolution benchmarks like TinyFace or SCFace.
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 • 6 Jun 2023 • Mohammad Saeed Ebrahimi Saadabadi, Sahar Rahimi Malakshan, Ali Zafari, Moktari Mostofa, Nasser M. Nasrabadi
Our method adaptively finds and assigns more attention to the recognizable low-quality samples in the training datasets.
no code implementations • 15 Sep 2022 • Moktari Mostofa, Mohammad Saeed Ebrahimi Saadabadi, Sahar Rahimi Malakshan, Nasser M. Nasrabadi
Second, we develop a novel pose attention block (PAB) to specially guide the pose-agnostic feature extraction from profile faces.
no code implementations • 7 Sep 2022 • Mohammad Saeed Ebrahimi Saadabadi, Sahar Rahimi Malakshan, Sobhan Soleymani, Moktari Mostofa, Nasser M. Nasrabadi
In this paper, we seek to draw connections between the frontal and profile face images in an abstract embedding space.