Profil

Laraba Sohaib

Université de Mons - UMONS > Faculté Polytechnique > Service Information, Signal et Intelligence artificielle

Université de Mons - UMONS > Faculté Polytechnique > Information, Signal et Intelligence artificielle


Main Referenced Co-authors
TILMANNE, Joëlle  (12)
DUTOIT, Thierry  (8)
Dimitropoulos, Kosmas (6)
Grammalidis, Nikos (6)
Charisis, Vasileios (4)
Main Referenced Keywords
convolutional neural networks (2); Deep Learning (2); YOLOv5 (2); 3D data representation (1); action recognition (1);
Main Referenced Unit & Research Centers
CRTI - Centre de Recherche en Technologie de l'Information (6)
Main Referenced Disciplines
Electrical & electronics engineering (15)
Computer science (5)
Library & information sciences (5)
Physics (2)
Radiology, nuclear medicine & imaging (1)

Publications (total 25)

The most downloaded
41 downloads
Laraba, S. (2020). Deep Learning for Skeleton-Based Human Action Recognition. Unpublished doctoral thesis, Université de Mons.
Jury: Dutoit, T. (Promotor), Tilmanne, J. (Promotor), Siebert, X., Gosselin, B., Sahli, H., Taleb-Ahmed, A., & Wannous, H. https://hdl.handle.net/20.500.12907/42333
The most cited
39 citations (OpenCitations)
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 https://hdl.handle.net/20.500.12907/42006

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.
Peer reviewed

Ennadifi, E., Dandrifosse, S., Mokhtari, M. E. A., Carlier, A., Laraba, S., Mercatoris, B., & Gosselin, B. (2022). Local Unsupervised Wheat Head Segmentation. ICCP 2022.
Peer reviewed

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
Peer reviewed

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.
Peer Reviewed verified by ORBi

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

Laraba, S. (2020). Deep Learning for Skeleton-Based Human Action Recognition. Unpublished doctoral thesis, Université de Mons.
Jury: Dutoit, T. (Promotor), Tilmanne, J. (Promotor), Siebert, X., Gosselin, B., Sahli, H., Taleb-Ahmed, A., & Wannous, H.

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.
Peer reviewed

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.
Peer reviewed

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.
Peer reviewed

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.

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 presented at International Conference on 3D Imaging, Bruxelles, Belgium.

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.
Peer Reviewed verified by ORBi

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.
Peer reviewed

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.

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.

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
Peer Reviewed verified by ORBi

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 presented at 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 presented at CHI'16 Workshop on Human-Centred Machine Learning, San Jose, United States.

Laraba, S., & Tilmanne, J. (2016). Dance performance evaluation using hidden Markov models. Computer Animation and Virtual Worlds.
Peer Reviewed verified by ORBi

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.

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 presented at Proceedings of the 10th International Summer Workshop on Multimodal Interfaces - eNTERFACE'15, Mons, Belgium.

Contact ORBi