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Karim Hammoudi
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- affiliation: University of Upper Alsace, Department of Computer Science, France
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2020 – today
- 2024
- [j11]Bouthaina Slika, Fadi Dornaika
, Hamid Merdji
, Karim Hammoudi
:
Lung pneumonia severity scoring in chest X-ray images using transformers. Medical Biol. Eng. Comput. 62(8): 2389-2407 (2024) - 2023
- [j10]Fadi Dornaika
, D. Sun, Karim Hammoudi, Jinan Charafeddine
, Adnane Cabani, Chongsheng Zhang:
Object-centric Contour-aware Data Augmentation Using Superpixels of Varying Granularity. Pattern Recognit. 139: 109481 (2023) - [c19]Bouthaina Slika, Fadi Dornaika, Karim Hammoudi, Vinh Truong Hoang
:
Automatic Quantification of Lung Infection Severity in Chest X-ray Images. SSP 2023: 418-422 - [i6]Bouthaina Slika, Fadi Dornaika, Hamid Merdji, Karim Hammoudi:
Vision Transformer-based Model for Severity Quantification of Lung Pneumonia Using Chest X-ray Images. CoRR abs/2303.11935 (2023) - 2022
- [j9]Karim Hammoudi
, Adnane Cabani, Bouthaina Slika, Halim Benhabiles, Fadi Dornaika, Mahmoud Melkemi:
SuperpixelGridMasks Data Augmentation: Application to Precision Health and Other Real-world Data. J. Heal. Informatics Res. 6(4): 442-460 (2022) - [j8]Ziheng Yang
, Halim Benhabiles, Karim Hammoudi, Féryal Windal, Ruiwen He
, Dominique Collard
:
A generalized deep learning-based framework for assistance to the human malaria diagnosis from microscopic images. Neural Comput. Appl. 34(17): 14223-14238 (2022) - [i5]Karim Hammoudi, Adnane Cabani, Bouthaina Slika, Halim Benhabiles, Fadi Dornaika, Mahmoud Melkemi:
SuperpixelGridCut, SuperpixelGridMean and SuperpixelGridMix Data Augmentation. CoRR abs/2204.08458 (2022) - 2021
- [j7]Karim Hammoudi
, Halim Benhabiles
, Mahmoud Melkemi, Fadi Dornaika, Ignacio Arganda-Carreras
, Dominique Collard
, Arnaud Scherpereel:
Deep Learning on Chest X-ray Images to Detect and Evaluate Pneumonia Cases at the Era of COVID-19. J. Medical Syst. 45(7): 75 (2021) - [c18]Florent Langenfeld, Tunde Aderinwale, Charles Christoffer, Woong-Hee Shin, Genki Terashi, Xiao Wang, Daisuke Kihara, Halim Benhabiles
, Karim Hammoudi, Adnane Cabani, Féryal Windal, Mahmoud Melkemi, Ekpo Otu, Reyer Zwiggelaar, David Hunter, Yonghuai Liu, Léa Sirugue, Huu-Nghia H. Nguyen, Tuan-Duy H. Nguyen, Vinh-Thuyen Nguyen-Truong, Danh Le, Hai-Dang Nguyen
, Minh-Triet Tran, Matthieu Montès:
SHREC 2021: Surface-based Protein Domains Retrieval. 3DOR 2021: 19-26 - 2020
- [j6]Florent Langenfeld
, Yuxu Peng, Yu-Kun Lai, Paul L. Rosin
, Tunde Aderinwale, Genki Terashi, Charles Christoffer, Daisuke Kihara
, Halim Benhabiles
, Karim Hammoudi
, Adnane Cabani
, Féryal Windal, Mahmoud Melkemi
, Andrea Giachetti
, Stelios K. Mylonas
, Apostolos Axenopoulos, Petros Daras, Ekpo Otu, Matthieu Montès
:
SHREC 2020: Multi-domain protein shape retrieval challenge. Comput. Graph. 91: 189-198 (2020) - [j5]Mahmoud Melkemi, Karim Hammoudi
:
Voronoi-based image representation applied to binary visual cryptography. Signal Process. Image Commun. 87: 115913 (2020) - [i4]Karim Hammoudi, Halim Benhabiles, Mahmoud Melkemi, Fadi Dornaika, Ignacio Arganda-Carreras, Dominique Collard, Arnaud Scherpereel:
Deep Learning on Chest X-ray Images to Detect and Evaluate Pneumonia Cases at the Era of COVID-19. CoRR abs/2004.03399 (2020) - [i3]Adnane Cabani, Karim Hammoudi, Halim Benhabiles, Mahmoud Melkemi:
MaskedFace-Net - A Dataset of Correctly/Incorrectly Masked Face Images in the Context of COVID-19. CoRR abs/2008.08016 (2020)
2010 – 2019
- 2019
- [j4]Abdelmalik Moujahid
, Fadi Dornaika, Yassine Ruichek
, Karim Hammoudi
:
Towards semantic segmentation of orthophoto images using graph-based community identification. Neural Comput. Appl. 31(S-2): 1155-1163 (2019) - [j3]Fadi Dornaika
, Karim Hammoudi
, Mahmoud Melkemi, T. D. A. Phan:
An efficient pyramid multi-level image descriptor: application to image-based parking lot monitoring. Signal Image Video Process. 13(8): 1611-1617 (2019) - [c17]Florent Langenfeld
, Apostolos Axenopoulos, Halim Benhabiles
, Petros Daras, Andrea Giachetti
, Xusi Han, Karim Hammoudi
, Daisuke Kihara, Tuan Manh Lai, Haiguang Liu, Mahmoud Melkemi, Stelios K. Mylonas
, Genki Terashi, Yufan Wang, Féryal Windal, Matthieu Montès
:
Protein Shape Retrieval Contest. 3DOR@Eurographics 2019: 25-31 - [c16]Karim Hammoudi
, Halim Benhabiles, Mahmoud Melkemi, Shashank Rao Kadapanatham:
Visual Communication with Successive Reading of Public and Secret Information by Generating Dual-Layer Images. Expressive (Posters, Demos, and Artworks) 2019: 17-18 - [c15]Karim Hammoudi
, Mohammed AbuTaha, Halim Benhabiles
, Mahmoud Melkemi, Féryal Windal, Safwan El Assad, Audrey Queudet:
Image-Based Ciphering of Video Streams and Object Recognition for Urban and Vehicular Surveillance Services. ICICT (2) 2019: 519-527 - [c14]Halim Benhabiles
, Karim Hammoudi
, Ziheng Yang, Féryal Windal, Mahmoud Melkemi, Fadi Dornaika
, Ignacio Arganda-Carreras:
Deep Learning based Detection of Hair Loss Levels from Facial Images. IPTA 2019: 1-6 - 2018
- [j2]Karim Hammoudi
, Mahmoud Melkemi:
Personalized Shares in Visual Cryptography. J. Imaging 4(11): 126 (2018) - [c13]Karim Hammoudi
, Adnane Cabani
, Mahmoud Melkemi, Halim Benhabiles
, Féryal Windal:
Towards a Model of Car Parking Assistance System Using Camera Networks: Slot Analysis and Communication Management. HPCC/SmartCity/DSS 2018: 1248-1255 - [c12]Halim Benhabiles
, Karim Hammoudi
, Féryal Windal, Mahmoud Melkemi, Adnane Cabani
:
A Transfer Learning Exploited for Indexing Protein Structures from 3D Point Clouds. SaMBa@MICCAI 2018: 82-89 - [c11]Karim Hammoudi, Mahmoud Melkemi, Fadi Dornaika
, Halim Benhabiles
, Féryal Windal, Oussama Taoufik:
A Comparative Study of 2 Resolution-Level LBP Descriptors and Compact Versions for Visual Analysis. MUE/FutureTech 2018: 221-227 - 2017
- [c10]Karim Hammoudi
, Halim Benhabiles
, Mahmoud Melkemi, Fadi Dornaika:
Detection Systems for Improving the Citizen Security and Comfort from Urban and Vehicular Surveillance Technologies: An Overview. IISSC/CN4IoT 2017: 37-45 - [c9]Karim Hammoudi
, Mahmoud Melkemi, Halim Benhabiles
, Fadi Dornaika, Sofiane Hamrioui, Joel J. P. C. Rodrigues:
Analyzing and managing the slot occupancy of car parking by exploiting vision-based urban surveillance networks. MoWNet 2017: 1-6 - 2015
- [c8]Karim Hammoudi
, Halim Benhabiles
, Mohamed Kasraoui, Nabil Ajam, Fadi Dornaika, Karan Radhakrishnan, Karthik Bandi, Qing Cai, Sai Liu:
Developing Vision-based and Cooperative Vehicular Embedded Systems for Enhancing Road Monitoring Services. ANT/SEIT 2015: 389-395 - [c7]Karim Hammoudi, Nabil Ajam, Mohamed Kasraoui, Fadi Dornaika, Karan Radhakrishnan, Karthik Bandi, Qing Cai, Sai Liu:
Design, Implementation and Simulation of an Experimental Processing Architecture for Enhancing Real-time Video Services by Combining VANET, Cloud Computing System and Onboard Navigation System. PECCS 2015: 174-179 - 2014
- [i2]Karim Hammoudi, Nabil Ajam, Mohamed Kasraoui, Fadi Dornaika, Karan Radhakrishnan, Karthik Bandi, Qing Cai, Sai Liu:
Design, Implementation and Simulation of a Cloud Computing System for Enhancing Real-time Video Services by using VANET and Onboard Navigation Systems. CoRR abs/1412.6149 (2014) - 2013
- [i1]Karim Hammoudi, Fadi Dornaika, Bahman Soheilian, Bruno Vallet, John McDonald, Nicolas Paparoditis:
A Synergistic Approach for Recovering Occlusion-Free Textured 3D Maps of Urban Facades from Heterogeneous Cartographic Data. CoRR abs/1308.6401 (2013) - 2012
- [c6]Karim Hammoudi
, Fadi Dornaika, Bahman Soheilian, Bruno Vallet, Nicolas Paparoditis:
Generating occlusion-free textures for virtual 3D model of urban facades by fusing image and laser street data. VR 2012: 153-154 - [c5]Karim Hammoudi
, Fadi Dornaika, Bahman Soheilian, Bruno Vallet, John McDonald
, Nicolas Paparoditis:
Recovering quasi-real occlusion-free textures for facade models by exploiting fusion of image and laser street data and image inpainting. WIAMIS 2012: 1-4 - 2011
- [b1]Karim Hammoudi:
Contributions to the 3D city modeling : 3D polyhedral building model reconstruction from aerial images and 3D facade modeling from terrestrial 3D point cloud and images. (Contributions à la modélisation 3D des villes : reconstruction 3D de modèles de bâtiments polyédriques à partir d'images aériennes et modélisation 3D de façades à partir de nuage de points 3D et d'images terrestres). University of Paris-Est, France, 2011 - [j1]Karim Hammoudi
, Fadi Dornaika:
A Featureless Approach to 3D Polyhedral Building Modeling from Aerial Images. Sensors 11(1): 228-259 (2011) - [c4]Karim Hammoudi
, Fadi Dornaika, Nicolas Paparoditis:
Generating Virtual 3D Model of Urban Street Facades by Fusing Terrestrial Multi-source Data. Intelligent Environments 2011: 330-333 - 2010
- [c3]Fadi Dornaika, Karim Hammoudi
:
Estimating 3D Polyhedral Building Models by Registering Aerial Images. ACIVS (2) 2010: 239-248 - [c2]Karim Hammoudi
, Fadi Dornaika, Bahman Soheilian, Nicolas Paparoditis:
Extracting Outlined Planar Clusters of Street Facades from 3D Point Clouds. CRV 2010: 122-129
2000 – 2009
- 2009
- [c1]Fadi Dornaika, Karim Hammoudi:
Extracting 3D Polyhedral Building Models from Aerial Images Using a Featureless and Direct Approach. MVA 2009: 378-381
Coauthor Index
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last updated on 2024-08-23 18:31 CEST by the dblp team
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