Search Results for author: Mohammed Hassanin

Found 7 papers, 2 papers with code

Visual Attention Methods in Deep Learning: An In-Depth Survey

no code implementations16 Apr 2022 Mohammed Hassanin, Saeed Anwar, Ibrahim Radwan, Fahad S Khan, Ajmal Mian

However, the literature lacks a comprehensive survey on attention techniques to guide researchers in employing attention in their deep models.

Deep Attention Deep Learning +1

CrossFormer: Cross Spatio-Temporal Transformer for 3D Human Pose Estimation

1 code implementation24 Mar 2022 Mohammed Hassanin, Abdelwahed Khamiss, Mohammed Bennamoun, Farid Boussaid, Ibrahim Radwan

3D human pose estimation can be handled by encoding the geometric dependencies between the body parts and enforcing the kinematic constraints.

3D Human Pose Estimation

Mitigating the Impact of Adversarial Attacks in Very Deep Networks

no code implementations8 Dec 2020 Mohammed Hassanin, Ibrahim Radwan, Nour Moustafa, Murat Tahtali, Neeraj Kumar

In it, a Defensive Feature Layer (DFL) is integrated with a well-known DNN architecture which assists in neutralizing the effects of illegitimate perturbation samples in the feature space.

Data Poisoning

A Deep Marginal-Contrastive Defense against Adversarial Attacks on 1D Models

no code implementations8 Dec 2020 Mohammed Hassanin, Nour Moustafa, Murat Tahtali

Several research studies have been conducted to address this issue and build more robust deep learning models.

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