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merging for efficient semantic segmentation. In: Proceedings of the 21st International Conference on Computer Vision Theory and Applications (VISAPP), pp. 43–54. (2026). [2] Sassoon, J., Szczepanski, M
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a Master's program (M2) or an Engineering School (including gap year students). • Practical experience in robotics, specifically with ROS2 knowledge. • Strong skills in computer vision and machine
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feeds Project Management Officer - Référent Cost Engineering H/F 194 / 462 vacancy Détail de l'offre Description du poste Domaine Management et projet Contrat CDI Intitulé de l'offre Project Management
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analysis, formal methods, cybersecurity Profil du candidat Computer engineering degree, final year. Knowledge of static analysis techniques and software attack techniques (vulnerabilities and exploits
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publication about this benchmark. # Cea List Moyens / Méthodes / Logiciels AI, Deep Neural Network, Computer Vision, Human behavior analysis Profil du candidat Profile - Students in their 4th or 5th year
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/Computer Vision pour analyser les images radioscopiques d'un mélange triphasique. Stage M2 de traitement et d'analyse d'images issues de radioscopies X de mélanges triphasiques. Mise en œuvre de méthodes de
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!), used in future quantum computer or spatial radio astronomy applications This internship provides an opportunity to improve our understanding of reliability physics at cryogenic temperature, and to offer
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representation meets perception models for bev segmentation. In : 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). IEEE, 2025. p. 2250-2259. [3] KERBL, Bernhard, KOPANAS
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of Textual and Visual Semantic Analysis (LASTI) conducts its research in the field of natural language processing and computer vision to extract, classify and generate information. The laboratory's
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Conference on Computer Vision and Pattern Recognition (CVPR), 2016. [8] TorchVision / PyTorch documentation, ResNet-18 and ResNet-50 Model Architectures. [9] Ultralytics, YOLOv8 Real-Time Object Detection