activity
20182026
most citedVisual Attention Methods in Deep Learning: An In-Depth Survey

57 citations · 126 across the 10 of their papers we have counts for

collaborators
Showing cs.CVShow all

6 papers · 1 filter

cs.CV2026

Progressive Split Mamba: Effective State Space Modelling for Image Restoration

Mohammed Hassanin, Nour Moustafa, Weijian Deng +1

Image restoration requires simultaneously preserving fine-grained local structures and maintaining long-range spatial coherence. While convolutional networks struggle with limited…

cs.CV2022★ 57 cited

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

Mohammed Hassanin, Saeed Anwar, Ibrahim Radwan +2

Inspired by the human cognitive system, attention is a mechanism that imitates the human cognitive awareness about specific information, amplifying critical details to focus more o…

cs.CV2022★ 1 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.CV2021★ 2 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.CV2018★ 43 cited

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…