Hatem A. Rashwan

发表

Trustworthy Video Surveillance: An Approach Based on Guaranteeing Data Privacy

Agusti Solanas, Antoni Martínez-Ballesté, Hatem A. Rashwan, 2015, Advanced Research in Data Privacy.

On improving the robustness of differential optical flow

Hatem A. Rashwan, Domenec Puig, Miguel Ángel García, 2011, 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops).

Automatic detection of individual and touching moths from trap images by combining contour-based and region-based segmentation

Hatem A. Rashwan, Sylvie Chambon, Mohammed Chafik Bakkay, 2018, IET Comput. Vis..

Illumination-Robust Optical Flow Using a Local Directional Pattern

Bärbel Mertsching, Hatem A. Rashwan, Domenec Puig, 2014, IEEE Transactions on Circuits and Systems for Video Technology.

Action representation and recognition through temporal co-occurrence of flow fields and convolutional neural networks

Hatem A. Rashwan, Domenec Puig, Miguel Angel Garcia, 2020, Multimedia Tools and Applications.

Privacy in Pervasive Video Surveillance - Trust through Technology and Users Cooperation

Agusti Solanas, Antoni Martínez-Ballesté, Hatem A. Rashwan, 2014, PECCS.

Adversarial Learning for Depth and Viewpoint Estimation From a Single Image

Hatem A. Rashwan, Domenec Puig, Miguel Angel Garcia, 2020, IEEE Transactions on Circuits and Systems for Video Technology.

SLSDeep: Skin Lesion Segmentation Based on Dilated Residual and Pyramid Pooling Networks pdf

Petia Radeva, Vivek Kumar Singh, Hatem A. Rashwan, 2018, MICCAI.

Effective 2D/3D Registration using Curvilinear Saliency Features and Multi-Class SVM

Hatem A. Rashwan, Domenec Puig, Sylvie Chambon, 2019, VISIGRAPP.

Understanding trust in privacy-aware video surveillance systems

Agusti Solanas, Antoni Martínez-Ballesté, Hatem A. Rashwan, 2015, International Journal of Information Security.

Recognizing Food Places in Egocentric Photo-Streams Using Multi-Scale Atrous Convolutional Networks and Self-Attention Mechanism

Petia Radeva, Hatem A. Rashwan, Domenec Puig, 2019, IEEE Access.

BSCGAN: Deep Background Subtraction with Conditional Generative Adversarial Networks

Yassine Ruichek, Louahdi Khoudour, Houssam Salmane, 2018, 2018 25th IEEE International Conference on Image Processing (ICIP).

CuisineNet: Food Attributes Classification using Multi-scale Convolution Network

Petia Radeva, Hatem A. Rashwan, Domenec Puig, 2018, CCIA.

Conditional Generative Adversarial and Convolutional Networks for X-ray Breast Mass Segmentation and Shape Classification

Vivek Kumar Singh, Hatem A. Rashwan, Domenec Puig, 2018, MICCAI.

On improving the robustness of variational optical flow against illumination changes

Bärbel Mertsching, Hatem A. Rashwan, Domenec Puig, 2013, ARTEMIS '13.

MACNet: Multi-scale Atrous Convolution Networks for Food Places Classification in Egocentric Photo-streams pdf

Petia Radeva, Hatem A. Rashwan, Domenec Puig, 2018, ECCV Workshops.

MobileGAN: Skin Lesion Segmentation Using a Lightweight Generative Adversarial Network pdf

Petia Radeva, Vivek Kumar Singh, Mohamed Abdel-Nasser, 2019, Expert Syst. Appl..

Designing and Analyzing the PID and Fuzzy Control System for an Inverted Pendulum

Hatem A. Rashwan, Domenec Puig-Valls, Armin Masoumian, 2020, 2020 6th International Conference on Mechatronics and Robotics Engineering (ICMRE).

Improving the robustness of variational optical flow through tensor voting

Hatem A. Rashwan, Domenec Puig, Miguel Ángel García, 2012, Comput. Vis. Image Underst..

Using Curvilinear Features in Focus for Registering a Single Image to a 3D Object

Pierre Gurdjos, Vincent Charvillat, Hatem A. Rashwan, 2018, IEEE Transactions on Image Processing.

Analysis of tissue abnormality and breast density in mammographic images using a uniform local directional pattern

Mohamed Abdel-Nasser, Hatem A. Rashwan, Domenec Puig, 2015, Expert Syst. Appl..

Variational Optical Flow Estimation Based on Stick Tensor Voting

Hatem A. Rashwan, Domenec Puig, Miguel Ángel García, 2013, IEEE Transactions on Image Processing.

Breast Mass Segmentation and Shape Classification in Mammograms Using Deep Neural Networks pdf

Vivek Kumar Singh, Hatem A. Rashwan, Domenec Puig, 2018, ArXiv.

A trustworthy database for privacy-preserving video surveillance

Antoni Martínez-Ballesté, Hatem A. Rashwan, Domenec Puig, 2013, EDBT '13.

Study of Obstacle Avoidance Strategies for Efficient Autonomous Navigation of Wheeled Robots in Unknown Environments

Hatem A. Rashwan, Domenec Puig, Julián Cristiano, 2018, WAF.

Adversarial Learning with Multiscale Features and Kernel Factorization for Retinal Blood Vessel Segmentation pdf

Vivek Kumar Singh, Mohamed Abdel-Nasser, Hatem A. Rashwan, 2019, ArXiv.

Support Vector Machine (SVM) Recognition Approach adapted to Individual and Touching Moths Counting in Trap Images pdf

Hatem A. Rashwan, Sylvie Chambon, Mohammed Chafik Bakkay, 2018, ICPR 2018.

Breast tumor segmentation and shape classification in mammograms using generative adversarial and convolutional neural network

Vivek Kumar Singh, Hatem A. Rashwan, Domenec Puig, 2018, Expert Syst. Appl..

On Improving Breast Density Segmentation Using Conditional Generative Adversarial Networks

Hatem A. Rashwan, Domenec Puig, Nasibeh Saffari, 2018, CCIA.

Towards Recognizing of 3D Models Using A Single Image

Pierre Gurdjos, Vincent Charvillat, Hatem A. Rashwan, 2017, 3DOR@Eurographics.

FinSeg: Finger Parts Semantic Segmentation using Multi-scale Feature Maps Aggregation of FCN

Vivek Kumar Singh, Mohamed Abdel-Nasser, Hatem A. Rashwan, 2019, VISIGRAPP.

Towards a trustworthy privacy in pervasive video surveillance systems

Antoni Martínez-Ballesté, Hatem A. Rashwan, Domenec Puig, 2012, 2012 IEEE International Conference on Pervasive Computing and Communications Workshops.

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

Vivek Kumar Singh, Hatem A. Rashwan, Farhan Akram, 2018, ArXiv.

MGNet: Depth Map Prediction from a Single Photograph Using a Multi-Generative Network

Hatem A. Rashwan, Domenec Puig, Saddam Abdulwahab, 2019, International Conference of the Catalan Association for Artificial Intelligence.

Mass Detection in Mammograms Using a Robust Deep Learning Model

Vivek Kumar Singh, Mohamed Abdel-Nasser, Hatem A. Rashwan, 2019, International Conference of the Catalan Association for Artificial Intelligence.

Towards multi-scale feature detection repeatable over intensity and depth images

Pierre Gurdjos, Vincent Charvillat, Hatem A. Rashwan, 2016, 2016 IEEE International Conference on Image Processing (ICIP).

Using The Feedback of Dynamic Active-Pixel Vision Sensor (Davis) to Prevent Slip in Real Time

Hatem A. Rashwan, Domenec Puig-Valls, Armin Masoumian, 2020, 2020 6th International Conference on Mechatronics and Robotics Engineering (ICMRE).

An Efficient Solution for Breast Tumor Segmentation and Classification in Ultrasound Images Using Deep Adversarial Learning pdf

Vivek Kumar Singh, Mohamed Abdel-Nasser, Hatem A. Rashwan, 2019, ArXiv.

Gait representation and recognition from temporal co-occurrence of flow fields

Hatem A. Rashwan, Domenec Puig, Miguel Ángel García, 2018, Machine Vision and Applications.

Breast tumor segmentation in ultrasound images using contextual-information-aware deep adversarial learning framework

Vivek Kumar Singh, Mohamed Abdel-Nasser, Hatem A. Rashwan, 2020, Expert Syst. Appl..

Analyzing the evolution of breast tumors through flow fields and strain tensors

Mohamed Abdel-Nasser, Hatem A. Rashwan, Domenec Puig, 2017, Pattern Recognit. Lett..

Design and implementation of a secure and trustworthy platform for privacy-aware video surveillance

Antoni Martínez-Ballesté, Hatem A. Rashwan, Domenec Puig, 2017, International Journal of Information Security.

Defeating face de-identification methods based on DCT-block scrambling

Antoni Martínez-Ballesté, Hatem A. Rashwan, Domenec Puig, 2015, Machine Vision and Applications.

Food Places Classification in Egocentric Images Using Siamese Neural Networks

Petia Radeva, Vivek Kumar Singh, Mohamed Abdel-Nasser, 2019, International Conference of the Catalan Association for Artificial Intelligence.

FCA-Net: Adversarial Learning for Skin Lesion Segmentation Based on Multi-Scale Features and Factorized Channel Attention

Vivek Kumar Singh, Mohamed Abdel-Nasser, Hatem A. Rashwan, 2019, IEEE Access.

Efficient Fundus Image Gradeability Approach Based on Deep Reconstruction-Classification Network

Mohamed Abdel-Nasser, Hatem A. Rashwan, Domenec Puig, 2021, CCIA.

Grouped Pointwise Convolutions Significantly Reduces Parameters in EfficientNet

Mohamed Abdel-Nasser, Hatem A. Rashwan, Domenec Puig, 2021, CCIA.

A computer-aided diagnosis system for breast cancer molecular subtype prediction in mammographic images

Mohamed Abdel-Nasser, Hatem A. Rashwan, Domenec Puig, 2021, State of the Art in Neural Networks and their Applications.

On Determining Suitable Embedded Devices for Deep Learning Models

Hatem A. Rashwan, Domenec Puig, Daniel Padilla, 2021, CCIA.

Absolute distance prediction based on deep learning object detection and monocular depth estimation models

Hatem A. Rashwan, Domenec Puig, Saddam Abdulwahab, 2021, CCIA.

GCNDepth: Self-supervised Monocular Depth Estimation based on Graph Convolutional Network pdf

Hatem A. Rashwan, Domenec Puig, Saddam Abdulwahab, 2021, Neurocomputing.

Reliable Deep Learning Plant Leaf Disease Classification Based on Light-Chroma Separated Branches

Mohamed Abdel-Nasser, Hatem A. Rashwan, Domenec Puig, 2021, CCIA.

AWEU-Net: An Attention-Aware Weight Excitation U-Net for Lung Nodule Segmentation pdf

Mohamed Abdel-Nasser, Hatem A. Rashwan, Domenec Puig, 2021, Applied Sciences.

WEU-Net: A Weight Excitation U-Net for Lung Nodule Segmentation

Mohamed Abdel-Nasser, Hatem A. Rashwan, Domenec Puig, 2021, CCIA.

Promising Depth Map Prediction Method from a Single Image Based on Conditional Generative Adversarial Network

Hatem A. Rashwan, Domenec Puig, Saddam Abdulwahab, 2021, CCIA.

Illumination Robust Optical Flow Model Based on Histogram of Oriented Gradients

Hatem A. Rashwan, B. Mertsching, M. A. Mohamed, 2013, GCPR.

prediction ) Backpropagation 1 : real ? 0 : fake ? x ' y ' TestingTraining input output Discriminator Network

Hatem A. Rashwan, Md. Mostafa Kamal Sarker, D. Puig, 2018 .

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

Hatem A. Rashwan, Santiago Romani Also, Joao Paulo Schwarz Schuler, 2022, Entropy.

T-YOLO: Tiny vehicle detection based on YOLO and multi-scale convolutional neural networks

Hatem A. Rashwan, M. García, D. Puig, 2021, IEEE Access.

Monocular Depth Estimation Using Deep Learning: A Review

Hatem A. Rashwan, M. Salman Asif, D. Puig, 2022, Sensors.

Color-Aware Two-Branch DCNN for Efficient Plant Disease Classification

Hatem A. Rashwan, Joao Paulo Schwarz Schuler, D. Puig, 2022, MENDEL.

Effective ML-based quality of life prediction approach for dependent people in guardianship entities

Hatem A. Rashwan, D. Puig, M. Abdel-Nasser, 2022, Alexandria Engineering Journal.

Testing a Deep Learning Algorithm for Detection of Diabetic Retinopathy in a Spanish Diabetic Population and with MESSIDOR Database

Hatem A. Rashwan, D. Puig, A. Valls, 2021, Diagnostics.

SLSNet: Skin lesion segmentation using a lightweight generative adversarial network

Hatem A. Rashwan, Md. Mostafa Kamal Sarker, Syeda Furruka Banu, 2019, 1907.00856.

Monocular depth map estimation based on a multi-scale deep architecture and curvilinear saliency feature boosting

Hatem A. Rashwan, M. García, D. Puig, 2022, Neural Computing and Applications.

Effective Deep Learning-Based Ensemble Model for Road Crack Detection

Hatem A. Rashwan, D. Puig, M. Abdel-Nasser, 2022, 2022 IEEE International Conference on Big Data (Big Data).

Robust Yet Simple Deep Learning-Based Ensemble Approach for Assessing Diabetic Retinopathy in Fundus Images

Hatem A. Rashwan, D. Puig, M. Abdel-Nasser, 2022, Impact.

Grouped Pointwise Convolutions Reduce Parameters in Convolutional Neural Networks

Hatem A. Rashwan, Joao Paulo Schwarz Schuler, D. Puig, 2022, MENDEL.

Understanding trust in privacy-aware video surveillance systems

Hatem A. Rashwan, D. Puig, A. Solanas, 2016, International Journal of Information Security.

Fully Automated Breast Density Segmentation and Classification Using Deep Learning

Eleni Mangina, Mohamed Abdel-Nasser, Hatem A. Rashwan, 2020, Diagnostics.

Knowledge Distillation for Adaptive MRI Prostate Segmentation Based on Limit-Trained Multi-Teacher Models

Hatem A. Rashwan, Eddardaa Ben Loussaief, D. Puig, 2023, ArXiv.