Halim Benhabiles

40 papers B 2C 1Journal 19Unranked 17

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	SHREC 2025: Protein surface shape retrieval including electrostatic potential. Comput. Graph. Taher Yacoub, Camille Depenveiller, Atsushi Tatsuma, Tin Barisin, Eugen Rusakov, Udo Göbel, Yuxu Peng, Shiqiang Deng, Yuki Kagaya, Joon Hong Park, Daisuke Kihara, Marco Guerra, Giorgio Palmieri, Andrea Ranieri, Ulderico Fugacci, Silvia Biasotti, Ruiwen He, Halim Benhabiles, Adnane Cabani, Karim Hammoudi, Haotian Li, Hao Huang, Chunyan Li, Alireza Tehrani, Fanwang Meng, Farnaz Heidar-Zadeh, Tuan-Anh Yang, Matthieu Montès
2025	J	`jnl`	SHREC 2025: Protein surface shape retrieval including electrostatic potential. CoRR Taher Yacoub, Camille Depenveiller, Atsushi Tatsuma, Tin Barisin, Eugen Rusakov, Udo Göbel, Yuxu Peng, Shiqiang Deng, Yuki Kagaya, Joon Hong Park, Daisuke Kihara, Marco Guerra, Giorgio Palmieri, Andrea Ranieri, Ulderico Fugacci, Silvia Biasotti, Ruiwen He, Halim Benhabiles, Adnane Cabani, Karim Hammoudi, Haotian Li, Hao Huang, Chunyan Li, Alireza Tehrani, Fanwang Meng, Farnaz Heidar-Zadeh, Tuan-Anh Yang, Matthieu Montès
2025	J	`jnl`	SHREC'25 Track on Multiple Relief Patterns: Report and Analysis. CoRR Gabriele Paolini, Claudio Tortorici, Stefano Berretti, Ahmed Hazem Youssef, Halim Benhabiles, Adnane Cabani, Ruiwen He, Karim Hammoudi, Iyyakutti Iyappan Ganapathi, Syed Sadaf Ali, Divya Velayudhan, Maregu Assefa, Naoufel Werghi
2024	J	`jnl`	A Vision Transformer-Based Framework for Knowledge Transfer From Multi-Modal to Mono-Modal Lymphoma Subtyping Models. IEEE J. Biomed. Health Informatics Bilel Guetarni, Féryal Windal, Halim Benhabiles, Marianne Petit, Romain Dubois, Emmanuelle Leteurtre, Dominique Collard
2024	J	`jnl`	Ensembling and Test Augmentation for Covid-19 Detection and Covid-19 Domain Adaptation from 3D CT-Scans. CoRR Fares Bougourzi, Féryal Windal Moulaï, Halim Benhabiles, Fadi Dornaika, Abdelmalik Taleb-Ahmed
2024	—	`conf`	Histopathology Image Embedding Based on Foundation Models Features Aggregation for DLBCL Patient Treatment Response Prediction. MOVI@MICCAI Bilel Guetarni, Féryal Windal, Halim Benhabiles, Mahfoud Chaibi, Romain Dubois, Emmanuelle Leteurtre, Dominique Collard
2024	J	`jnl`	Histopathology image embedding based on foundation models features aggregation for patient treatment response prediction. CoRR Bilel Guetarni, Féryal Windal, Halim Benhabiles, Mahfoud Chaibi, Romain Dubois, Emmanuelle Leteurtre, Dominique Collard
2024	J	`jnl`	SHREC 2024: Recognition of dynamic hand motions molding clay. Comput. Graph. Ben Veldhuijzen, Remco C. Veltkamp, Omar Ikne, Benjamin Allaert, Hazem Wannous, Marco Emporio, Andrea Giachetti, Joseph J. LaViola, Ruiwen He, Halim Benhabiles, Adnane Cabani, Anthony Fleury, Karim Hammoudi, Konstantinos Gavalas, Christoforos Vlachos, Athanasios Papanikolaou, Ioannis Romanelis, Vlassis Fotis, Gerasimos Arvanitis, Konstantinos Moustakas, Martin Hanik, Esfandiar Nava-Yazdani, Christoph von Tycowicz
2023	J	`jnl`	A vision transformer-based framework for knowledge transfer from multi-modal to mono-modal lymphoma subtyping models. CoRR Bilel Guetarni, Féryal Windal, Halim Benhabiles, Marianne Petit, Romain Dubois, Emmanuelle Leteurtre, Dominique Collard
2022	J	`jnl`	A CNN-based methodology for cow heat analysis from endoscopic images. Appl. Intell. Ruiwen He, Halim Benhabiles, Féryal Windal, Gaël Even, Christophe Audebert, Agathe Decherf, Dominique Collard, Abdelmalik Taleb-Ahmed
2022	B	`conf`	A Cervix Detection Driven Deep Learning Approach for Cow Heat Analysis from Endoscopic Images. ICIP Ruiwen He, Halim Benhabiles, Féryal Windal, Gaël Even, Christophe Audebert, Dominique Collard, Abdelmalik Taleb-Ahmed
2022	—	`conf`	A Coarse-to-Fine Segmentation Methodology Based on Deep Networks for Automated Analysis of Cryptosporidium Parasite from Fluorescence Microscopic Images. MOVI@MICCAI Ziheng Yang, Halim Benhabiles, Féryal Windal, Jérôme Follet, Anne-Charlotte Leniere, Dominique Collard
2022	J	`jnl`	A generalized deep learning-based framework for assistance to the human malaria diagnosis from microscopic images. Neural Comput. Appl. Ziheng Yang, Halim Benhabiles, Karim Hammoudi, Féryal Windal, Ruiwen He, Dominique Collard
2022	J	`jnl`	SuperpixelGridCut, SuperpixelGridMean and SuperpixelGridMix Data Augmentation. CoRR Karim Hammoudi, Adnane Cabani, Bouthaina Slika, Halim Benhabiles, Fadi Dornaika, Mahmoud Melkemi
2022	J	`jnl`	SuperpixelGridMasks Data Augmentation: Application to Precision Health and Other Real-world Data. J. Heal. Informatics Res. Karim Hammoudi, Adnane Cabani, Bouthaina Slika, Halim Benhabiles, Fadi Dornaika, Mahmoud Melkemi
2021	J	`jnl`	Deep Learning on Chest X-ray Images to Detect and Evaluate Pneumonia Cases at the Era of COVID-19. J. Medical Syst. Karim Hammoudi, Halim Benhabiles, Mahmoud Melkemi, Fadi Dornaika, Ignacio Arganda-Carreras, Dominique Collard, Arnaud Scherpereel
2021	—	`conf`	SHREC 2021: Surface-based Protein Domains Retrieval. 3DOR 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
2020	J	`jnl`	Deep Learning on Chest X-ray Images to Detect and Evaluate Pneumonia Cases at the Era of COVID-19. CoRR Karim Hammoudi, Halim Benhabiles, Mahmoud Melkemi, Fadi Dornaika, Ignacio Arganda-Carreras, Dominique Collard, Arnaud Scherpereel
2020	J	`jnl`	MaskedFace-Net - A Dataset of Correctly/Incorrectly Masked Face Images in the Context of COVID-19. CoRR Adnane Cabani, Karim Hammoudi, Halim Benhabiles, Mahmoud Melkemi
2020	J	`jnl`	SHREC 2020: Multi-domain protein shape retrieval challenge. Comput. Graph. 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
2019	—	`conf`	Deep Learning based Detection of Hair Loss Levels from Facial Images. IPTA Halim Benhabiles, Karim Hammoudi, Ziheng Yang, Féryal Windal, Mahmoud Melkemi, Fadi Dornaika, Ignacio Arganda-Carreras
2019	—	`conf`	Image-Based Ciphering of Video Streams and Object Recognition for Urban and Vehicular Surveillance Services. ICICT (2) Karim Hammoudi, Mohammed AbuTaha, Halim Benhabiles, Mahmoud Melkemi, Féryal Windal, Safwan El Assad, Audrey Queudet
2019	—	`conf`	Protein Shape Retrieval Contest. 3DOR@Eurographics 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
2019	—	`conf`	Visual Communication with Successive Reading of Public and Secret Information by Generating Dual-Layer Images. Expressive (Posters, Demos, and Artworks) Karim Hammoudi, Halim Benhabiles, Mahmoud Melkemi, Shashank Rao Kadapanatham
2018	—	`conf`	A Comparative Study of 2 Resolution-Level LBP Descriptors and Compact Versions for Visual Analysis. MUE/FutureTech Karim Hammoudi, Mahmoud Melkemi, Fadi Dornaika, Halim Benhabiles, Féryal Windal, Oussama Taoufik
2018	—	`conf`	A Transfer Learning Exploited for Indexing Protein Structures from 3D Point Clouds. SaMBa@MICCAI Halim Benhabiles, Karim Hammoudi, Féryal Windal, Mahmoud Melkemi, Adnane Cabani
2018	—	`conf`	Towards a Model of Car Parking Assistance System Using Camera Networks: Slot Analysis and Communication Management. HPCC/SmartCity/DSS Karim Hammoudi, Adnane Cabani, Mahmoud Melkemi, Halim Benhabiles, Féryal Windal
2017	—	`conf`	Analyzing and managing the slot occupancy of car parking by exploiting vision-based urban surveillance networks. MoWNet Karim Hammoudi, Mahmoud Melkemi, Halim Benhabiles, Fadi Dornaika, Sofiane Hamrioui, Joel J. P. C. Rodrigues
2017	J	`jnl`	Convolutional neural network for pottery retrieval. J. Electronic Imaging Halim Benhabiles, Hedi Tabia
2017	—	`conf`	Detection Systems for Improving the Citizen Security and Comfort from Urban and Vehicular Surveillance Technologies: An Overview. IISSC/CN4IoT Karim Hammoudi, Halim Benhabiles, Mahmoud Melkemi, Fadi Dornaika
2015	—	`conf`	Developing Vision-based and Cooperative Vehicular Embedded Systems for Enhancing Road Monitoring Services. ANT/SEIT Karim Hammoudi, Halim Benhabiles, Mohamed Kasraoui, Nabil Ajam, Fadi Dornaika, Karan Radhakrishnan, Karthik Bandi, Qing Cai, Sai Liu
2014	B	`conf`	Belief-Function-Based Framework for Deformable 3D-Shape Retrieval. ICPR Halim Benhabiles, Hedi Tabia, Jean-Philippe Vandeborre
2013	—	`conf`	Dynamic 3D Facial Expression Recognition Using Robust Shape Features. SCIA Ahmed Maalej, Hedi Tabia, Halim Benhabiles
2012	—	`conf`	Kinematic Skeleton Extraction Based on Motion Boundaries for 3D Dynamic Meshes. 3DOR@Eurographics Halim Benhabiles, Guillaume Lavoué, Jean-Philippe Vandeborre, Mohamed Daoudi
2012	—	`conf`	SHREC'12 Track: 3D Mesh Segmentation. 3DOR@Eurographics Guillaume Lavoué, Jean-Philippe Vandeborre, Halim Benhabiles, Mohamed Daoudi, K. Huebner, Michela Mortara, Michela Spagnuolo
2011	—	`—`	3D-mesh segmentation: automatic evaluation and a new learning-based method. Halim Benhabiles
2011	J	`jnl`	Learning Boundary Edges for 3D-Mesh Segmentation. Comput. Graph. Forum Halim Benhabiles, Guillaume Lavoué, Jean-Philippe Vandeborre, Mohamed Daoudi
2010	J	`jnl`	A comparative study of existing metrics for 3D-mesh segmentation evaluation. Vis. Comput. Halim Benhabiles, Jean-Philippe Vandeborre, Guillaume Lavoué, Mohamed Daoudi
2010	C	`conf`	A subjective experiment for 3D-mesh segmentation evaluation. MMSP Halim Benhabiles, Guillaume Lavoué, Jean-Philippe Vandeborre, Mohamed Daoudi
2009	—	`conf`	A framework for the objective evaluation of segmentation algorithms using a ground-truth of human segmented 3D-models. Shape Modeling International Halim Benhabiles, Jean-Philippe Vandeborre, Guillaume Lavoué, Mohamed Daoudi