activity
20182022
most citedLearning Discriminative Representations for Multi-Label Image Recognition

2 citations · 3 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV20221 cited

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

Mohammed Hassanin, Abdelwahed Khamiss, Mohammed Bennamoun +2

3D human pose estimation can be handled by encoding the geometric dependencies between the body parts and enforcing the kinematic constraints. Recently, Transformer has been adopte…

cs.CV20212 cited

Learning Discriminative Representations for Multi-Label Image Recognition

Mohammed Hassanin, Ibrahim Radwan, Salman Khan +1

Multi-label recognition is a fundamental, and yet is a challenging task in computer vision. Recently, deep learning models have achieved great progress towards learning discriminat…

cs.CV2020

Mitigating the Impact of Adversarial Attacks in Very Deep Networks

Mohammed Hassanin, Ibrahim Radwan, Nour Moustafa +2

Deep Neural Network (DNN) models have vulnerabilities related to security concerns, with attackers usually employing complex hacking techniques to expose their structures. Data poi…

cs.CR2020

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

Mohammed Hassanin, Nour Moustafa, Murat Tahtali

Deep learning algorithms have been recently targeted by attackers due to their vulnerability. Several research studies have been conducted to address this issue and build more robu…

cs.CV2018

Visual Affordance and Function Understanding: A Survey

Mohammed Hassanin, Salman Khan, Murat Tahtali

Nowadays, robots are dominating the manufacturing, entertainment and healthcare industries. Robot vision aims to equip robots with the ability to discover information, understand i…