2023
Allocutions et communications diverses/Conférence donnée hors contexte académique
- Mokhtari, M. E. A., Mancas, M., Vandenbulcke, V., Ennadifi, E., Laraba, S., Tazir, M., & Gosselin, B. (2023). "Efficient Action Recognition for Drones: A Comparative Study of Lightweight and Traditional Models" [Paper presentation]. European Test and Telemetry Conference, Toulouse, France.
2022
Périodiques scientifiques/Article
- Mokhtari, M. E. A., Vandenbulcke, V., Laraba, S., Mancas, M., Ennadifi, E., Tazir, M., & Gosselin, B. (2022). Semi-synthetic Data for Automatic Drone Shadow Detection. "ESANN".
Colloques et congrès scientifiques/Communication publiée dans un périodique
- Ennadifi, E., Dandrifosse, S., Mokhtari, M. E. A., Carlier, A., Laraba, S., Mercatoris, B., & Gosselin, B. (2022). Local Unsupervised Wheat Head Segmentation. "ICCP 2022".
- Maiorca, A., Hubens, N., Laraba, S., & Dutoit, T. (2022). Towards Lightweight Neural Animation : Exploration of Neural Network Pruning in Mixture of Experts-based Animation Models. "Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP)". doi:10.5220/0010908700003124
2021
Parties d’ouvrages/Contribution à des ouvrages collectifs
- Lessage, X., Mahmoudi, S., Mahmoudi, S., Laraba, S., Debauche, O., & Belarbi, M. A. (2021). Chest X-ray images analysis with Deep Convolutional Neural Networks (CNN) for COVID-19 detection. In "Intelligent Healthcare Informatics for Fighting the COVID-19 and Other Pandemics and Epidemics" (pp. 405-425). Springer. doi:10.1007/978-3-030-72752-9_21
Périodiques scientifiques/Article
- Lessage, X., Mahmoudi, S., Mahmoudi, S., Laraba, S., Debauche, O., & Belarbi, M. A. (21 June 2021). Deep Convolutional Neural Networks (CNN) for COVID-19 classification in chest X-ray images with Explainable Artificial Intelligence (XAI). "International Journal of Computer Assisted Radiology and Surgery, 16 (Suppl 1) - S1-S119" (S1-S119), 64-65.
2020
Colloques et congrès scientifiques/Communication publiée dans un périodique
- Ennadifi, E., Laraba, S., Vincke, D., Mercatoris, B., & Gosselin, B. (2020). Wheat Diseases Classification and Localization Using Convolutional Neural Networks and GradCAM Visualization. "IEEE ISCV2020".
Mémoires et thèses/Thèse de doctorat
- Laraba, S. (2020). "Deep Learning for Skeleton-Based Human Action Recognition" [Doctoral thesis, Université de Mons]. ORBi UMONS-University of Mons. https://orbi.umons.ac.be/handle/20.500.12907/42333
2019
Périodiques scientifiques/Article
- Laraba, S., Tilmanne, J., & Dutoit, T. (23 November 2019). Leveraging Pre-trained CNN Models for Skeleton-Based Action Recognition. "International Conference on Computer Vision Systems, 1", 612-626.
- Aubrey, S., Laraba, S., Tilmanne, J., & Dutoit, T. (02 April 2019). Action recognition based on 2D skeletons extracted from RGB videos. "MATEC Web of Conferences, 227".
Colloques et congrès scientifiques/Communication poster
- Florentin, J., Verlinden, O., Dutoit, T., & Laraba, S. (05 March 2019). "Recognition of woodpecker calls using a convolutional deep neural network". Poster session presented at Mardi des Chercheurs 2019 (MdC2019), Mons, Belgium.
2018
Parties d’ouvrages/Contribution à des ouvrages collectifs
- Brahimi, M., Arsenovic, M., Laraba, S., Sladojevic, S., Boukhalfa, K., & Moussaoui, A. (2018). Deep Learning for Plant Diseases: Detection and Saliency Map Visualisation. In "Human and Machine Learning. Human-Computer Interaction Series" (pp. 93-117). Springer International Publishing.
Périodiques scientifiques/Article
- Grammatikopoulou, A., Laraba, S., Sahbenderoglu, O., Dimitropoulos, K., & Grammalidis, N. (29 August 2018). An adaptive framework for the creation of exergames for intangible cultural heritage (ICH) education. "Journal of Computers in Education, 5", 1-34.
- Tits, M., Laraba, S., Caulier, E., Tilmanne, J., & Dutoit, T. (01 August 2018). UMONS-TAICHI: A multimodal motion capture dataset of expertise in Taijiquan gestures. "Data in Brief, 19", 1214-1221.
Colloques et congrès scientifiques/Communication publiée dans un périodique
- Mancas, M., Laraba, S., Bandrabur, A., De Deken, P.-H., Hagihara, K., Leblanc, N., Yengec Tasdemir, S. B., Macq, B., & Dutoit, T. (2018). "PEOPLE GROUPS ANALYSIS FOR AR APPLICATIONS" [Paper presentation]. International Conference on 3D Imaging, Bruxelles, Belgium.
2017
Périodiques scientifiques/Article
- Laraba, S., Tilmanne, J., Brahimi, M., & Dutoit, T. (21 May 2017). 3D Skeleton-Based Action Recognition by Representing Motion Capture Sequences as 2D-RGB. "Computer Animation and Virtual Worlds, 28" (3-4). doi:10.1002/cav.1782
Colloques et congrès scientifiques/Communication publiée dans un périodique
- Grammatikopoulou, A., Laraba, S., Sahbenderoglu, O., Dimitropoulos, K., & Grammalidis, N. (2017). "An Adaptive Framework for the Creation of Body-Motion-Based Games". Paper presented at International Conference on Games and Virtual Worlds for Serious Applications, Athens, Greece.
2016
Périodiques scientifiques/Article
- Laraba, S., & Tilmanne, J. (2016). Dance performance evaluation using hidden Markov models. "Computer Animation and Virtual Worlds".
Colloques et congrès scientifiques/Communication publiée dans un périodique
- Grammalidis, N., Dimitropoulos, K., Tsalakanidou, F., Kitsikidis, A., Roussel, P., Denby, B., Chawah, P., Buchman, L., Dupont, S., Laraba, S., Picart, B., Tits, M., Tilmanne, J., Hadjidimitriou, S., Hadjileontiadis, L., Charisis, V., Volioti, C., Stergiaki, A., Manitsaris, A., ... Manitsaris, S. (2016). "The i-Treasures Intangible Cultural Heritage dataset" [Paper presentation]. IEEE Workshop on Movement and Computing, Thessaloniki, Greece.
- Ravet, T., Tilmanne, J., D'alessandro, N., & Laraba, S. (2016). "Motion Data and Machine Learning: Prototyping and Evaluation" [Paper presentation]. CHI'16 Workshop on Human-Centred Machine Learning, San Jose, United States.
Rapports/Rapport de recherche interne
- Çiftçi, S., Grammalidis, N., Dimitropoulos, K., Kitsikidis, A., Tsalakanidou, F., Dagnino, F., Pozzi, F., Leboullenger, C., Chawah, P., Laraba, S., Dupont, S., Manitsaris, S., Volioti, C., Charisis, V., & Hadjileontiadis, L. (2016). "Final Version of 3D Visualization for Sensorimotor Learning - FP7 i-Treasures Deliverable 5.5".
- Laraba, S., Tilmanne, J., Tits, M., Ververidis, D., Nikolopoulos, S., Nikolaidis, S., & Chalikias, A.-P. (2016). "Intangible Cultural Heritage Indexing by Stylistic Factors and Locality Variations - FP7 i-Treasures Deliverable 4.5".
- Denby, B., Leboullenger, C., Hakoun, A., Roussel, P., Hadjidimitriou, S., Hadjileontiadis, L., Charisis, V., Grammalidis, N., Tsalakanidou, F., Dimitropoulos, K., Kitsikidis, A., Laraba, S., Tilmanne, J., Dupont, S., Manitsaris, S., Moutarde, F., bouzos, O., Chawah, P., Crevier-Buchman, L., ... Manitsaris, A. (2016). "Final Version of ICH Capture and Analysis Modules - FP7 i-Treasures Deliverable 3.4".
- Denby, B., Leboullenger, C., Roussel, P., Hadjidimitriou, S., Hadjileontiadis, L., Charisis, V., Grammalidis, N., Tsalakanidou, F., Dimitropoulos, K., Kitsikidis, A., Laraba, S., Tilmanne, J., Dupont, S., Manitsaris, S., Moutarde, F., bouzos, O., Chawah, P., Crevier-Buchman, L., Volioti, C., & Manitsaris, A. (2016). "Final Report on ICH Capture and Analysis - FP7 i-Treasures Deliverable 3.3".
2015
Colloques et congrès scientifiques/Communication publiée dans un périodique
- Laraba, S., Tilmanne, J., & Dutoit, T. (2015). "Adaptation procedure for HMM-based sensor-dependent gesture recognition". Paper presented at Motion in Games, Paris, France.
- Tilmanne, J., D'alessandro, N., Barborka, P., Bayansar, F., Bernardo, F., Fiebrink, R., Héloir, A., Hemery, E., Laraba, S., Moinet, A., Nunnar, F., Ravet, T., Reboursière, L., Sarasúa, A., Tits, M., Tits, N., & Zajega, F. (2015). "Prototyping a New Audio-Visual Instrument Based on Extraction of High-Level Features on Full-Body Motion" [Paper presentation]. Proceedings of the 10th International Summer Workshop on Multimodal Interfaces - eNTERFACE'15, Mons, Belgium.