Hatem A. Rashwan

Orcid: 0000-0001-5421-1637

According to our database1, Hatem A. Rashwan authored at least 75 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
FGR-Net: Interpretable fundus image gradeability classification based on deep reconstruction learning.
Expert Syst. Appl., March, 2024

2023
Implicit regularization of a deep augmented neural network model for human motion prediction.
Appl. Intell., July, 2023

Deep Monocular Depth Estimation Based on Content and Contextual Features.
Sensors, March, 2023

GCNDepth: Self-supervised monocular depth estimation based on graph convolutional network.
Neurocomputing, 2023

Knowledge Distillation for Adaptive MRI Prostate Segmentation Based on Limit-Trained Multi-Teacher Models.
CoRR, 2023

T-YOLO: Tiny Vehicle Detection Based on YOLO and Multi-Scale Convolutional Neural Networks.
IEEE Access, 2023

Stacking Up for Success: A Cascade Network Model for Efficient Road Crack Segmentation.
Proceedings of the Artificial Intelligence Research and Development, 2023

2022
Monocular Depth Estimation Using Deep Learning: A Review.
Sensors, 2022

Efficient deep learning-based semantic mapping approach using monocular vision for resource-limited mobile robots.
Neural Comput. Appl., 2022

Monocular depth map estimation based on a multi-scale deep architecture and curvilinear saliency feature boosting.
Neural Comput. Appl., 2022

An Enhanced Scheme for Reducing the Complexity of Pointwise Convolutions in CNNs for Image Classification Based on Interleaved Grouped Filters without Divisibility Constraints.
Entropy, 2022

Predicting Personalized Quality of Life of an Intellectually Disabled Person Utilizing Machine Learning.
Proceedings of the Artificial Intelligence Research and Development, 2022

A Curated Dataset for Crack Image Analysis: Experimental Verification and Future Perspectives.
Proceedings of the Artificial Intelligence Research and Development, 2022

Effective Deep Learning-Based Ensemble Model for Road Crack Detection.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
SLSNet: Skin lesion segmentation using a lightweight generative adversarial network.
Expert Syst. Appl., 2021

GCNDepth: Self-supervised Monocular Depth Estimation based on Graph Convolutional Network.
CoRR, 2021

AWEU-Net: An Attention-Aware Weight Excitation U-Net for Lung Nodule Segmentation.
CoRR, 2021

Grouped Pointwise Convolutions Significantly Reduces Parameters in EfficientNet.
Proceedings of the Artificial Intelligence Research and Development, 2021

Reliable Deep Learning Plant Leaf Disease Classification Based on Light-Chroma Separated Branches.
Proceedings of the Artificial Intelligence Research and Development, 2021

On Determining Suitable Embedded Devices for Deep Learning Models.
Proceedings of the Artificial Intelligence Research and Development, 2021

Absolute Distance Prediction Based on Deep Learning Object Detection and Monocular Depth Estimation Models.
Proceedings of the Artificial Intelligence Research and Development, 2021

Efficient Fundus Image Gradeability Approach Based on Deep Reconstruction-Classification Network.
Proceedings of the Artificial Intelligence Research and Development, 2021

WEU-Net: A Weight Excitation U-Net for Lung Nodule Segmentation.
Proceedings of the Artificial Intelligence Research and Development, 2021

Promising Depth Map Prediction Method from a Single Image Based on Conditional Generative Adversarial Network.
Proceedings of the Artificial Intelligence Research and Development, 2021

2020
Adversarial Learning for Depth and Viewpoint Estimation From a Single Image.
IEEE Trans. Circuits Syst. Video Technol., 2020

Action representation and recognition through temporal co-occurrence of flow fields and convolutional neural networks.
Multim. Tools Appl., 2020

Breast tumor segmentation and shape classification in mammograms using generative adversarial and convolutional neural network.
Expert Syst. Appl., 2020

Breast tumor segmentation in ultrasound images using contextual-information-aware deep adversarial learning framework.
Expert Syst. Appl., 2020

Designing and Analyzing the PID and Fuzzy Control System for an Inverted Pendulum.
Proceedings of the 6th International Conference on Mechatronics and Robotics Engineering, 2020

Using The Feedback of Dynamic Active-Pixel Vision Sensor (Davis) to Prevent Slip in Real Time.
Proceedings of the 6th International Conference on Mechatronics and Robotics Engineering, 2020

2019
Using Curvilinear Features in Focus for Registering a Single Image to a 3D Object.
IEEE Trans. Image Process., 2019

Gait representation and recognition from temporal co-occurrence of flow fields.
Mach. Vis. Appl., 2019

Adversarial Learning with Multiscale Features and Kernel Factorization for Retinal Blood Vessel Segmentation.
CoRR, 2019

An Efficient Solution for Breast Tumor Segmentation and Classification in Ultrasound Images Using Deep Adversarial Learning.
CoRR, 2019

MobileGAN: Skin Lesion Segmentation Using a Lightweight Generative Adversarial Network.
CoRR, 2019

Recognizing Food Places in Egocentric Photo-Streams Using Multi-Scale Atrous Convolutional Networks and Self-Attention Mechanism.
IEEE Access, 2019

FCA-Net: Adversarial Learning for Skin Lesion Segmentation Based on Multi-Scale Features and Factorized Channel Attention.
IEEE Access, 2019

FinSeg: Finger Parts Semantic Segmentation using Multi-scale Feature Maps Aggregation of FCN.
Proceedings of the 14th International Joint Conference on Computer Vision, 2019

Effective 2D/3D Registration using Curvilinear Saliency Features and Multi-Class SVM.
Proceedings of the 14th International Joint Conference on Computer Vision, 2019

Mass Detection in Mammograms Using a Robust Deep Learning Model.
Proceedings of the Artificial Intelligence Research and Development, 2019

Food Places Classification in Egocentric Images Using Siamese Neural Networks.
Proceedings of the Artificial Intelligence Research and Development, 2019

MGNet: Depth Map Prediction from a Single Photograph Using a Multi-Generative Network.
Proceedings of the Artificial Intelligence Research and Development, 2019

2018
Design and implementation of a secure and trustworthy platform for privacy-aware video surveillance.
Int. J. Inf. Sec., 2018

Automatic detection of individual and touching moths from trap images by combining contour-based and region-based segmentation.
IET Comput. Vis., 2018

Support Vector Machine (SVM) Recognition Approach adapted to Individual and Touching Moths Counting in Trap Images.
CoRR, 2018

Breast Mass Segmentation and Shape Classification in Mammograms Using Deep Neural Networks.
CoRR, 2018

REFUGE CHALLENGE 2018-Task 2: Deep Optic Disc and Cup Segmentation in Fundus Images Using U-Net and Multi-scale Feature Matching Networks.
CoRR, 2018

Retinal Optic Disc Segmentation using Conditional Generative Adversarial Network.
CoRR, 2018

CuisineNet: Food Attributes Classification using Multi-scale Convolution Network.
CoRR, 2018

Conditional Generative Adversarial and Convolutional Networks for X-ray Breast Mass Segmentation and Shape Classification.
CoRR, 2018

Study of Obstacle Avoidance Strategies for Efficient Autonomous Navigation of Wheeled Robots in Unknown Environments.
Proceedings of the Advances in Physical Agents, 2018

Conditional Generative Adversarial and Convolutional Networks for X-ray Breast Mass Segmentation and Shape Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

SLSDeep: Skin Lesion Segmentation Based on Dilated Residual and Pyramid Pooling Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

BSCGAN: Deep Background Subtraction with Conditional Generative Adversarial Networks.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

MACNet: Multi-scale Atrous Convolution Networks for Food Places Classification in Egocentric Photo-Streams.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Retinal Optic Disc Segmentation Using Conditional Generative Adversarial Network.
Proceedings of the Artificial Intelligence Research and Development, 2018

CuisineNet: Food Attributes Classification Using Multi-Scale Convolution Network.
Proceedings of the Artificial Intelligence Research and Development, 2018

On Improving Breast Density Segmentation Using Conditional Generative Adversarial Networks.
Proceedings of the Artificial Intelligence Research and Development, 2018

2017
Analyzing the evolution of breast tumors through flow fields and strain tensors.
Pattern Recognit. Lett., 2017

Towards Recognizing of 3D Models Using A Single Image.
Proceedings of the 10th Eurographics Workshop on 3D Object Retrieval, 2017

2016
Defeating face de-identification methods based on DCT-block scrambling.
Mach. Vis. Appl., 2016

Understanding trust in privacy-aware video surveillance systems.
Int. J. Inf. Sec., 2016

Towards multi-scale feature detection repeatable over intensity and depth images.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2015
Trustworthy Video Surveillance: An Approach Based on Guaranteeing Data Privacy.
Proceedings of the Advanced Research in Data Privacy, 2015

Analysis of tissue abnormality and breast density in mammographic images using a uniform local directional pattern.
Expert Syst. Appl., 2015

2014
Robust analysis and protection of dynamic scenes for privacy-aware video surveillance.
PhD thesis, 2014

Illumination-Robust Optical Flow Using a Local Directional Pattern.
IEEE Trans. Circuits Syst. Video Technol., 2014

Privacy in Pervasive Video Surveillance - Trust through Technology and Users Cooperation.
Proceedings of the PECCS 2014, 2014

2013
Variational Optical Flow Estimation Based on Stick Tensor Voting.
IEEE Trans. Image Process., 2013

On improving the robustness of variational optical flow against illumination changes.
Proceedings of the 4th ACM/IEEE international workshop on Analysis and retrieval of tracked events and motion in imagery stream, 2013

A trustworthy database for privacy-preserving video surveillance.
Proceedings of the Joint 2013 EDBT/ICDT Conferences, 2013

Illumination Robust Optical Flow Model Based on Histogram of Oriented Gradients.
Proceedings of the Pattern Recognition - 35th German Conference, 2013

2012
Improving the robustness of variational optical flow through tensor voting.
Comput. Vis. Image Underst., 2012

Towards a trustworthy privacy in pervasive video surveillance systems.
Proceedings of the Tenth Annual IEEE International Conference on Pervasive Computing and Communications, 2012

2011
On improving the robustness of differential optical flow.
Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011


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