Source: Colloque Français d'Intelligence Artificielle en Imagerie Biomédicale (IABM) 2025 ; https://hal.science/hal-04903628 ; Colloque Français d'Intelligence Artificielle

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3DSES: an indoor Lidar point cloud segmentation dataset with real and pseudo-labels from a 3D model

Authors : Mérizette, Maxime; Audebert, Nicolas; Kervella, Pierre ...

Subjects: Dataset; LIDAR; point cloudPorto; PortugalPorto, Portugal

Source: VISAPP ; https://hal.science/hal-04905572 ; VISAPP, Feb 2025, Porto, Portugal

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Predicting Socio-economic Indicator Variations with Satellite Image Time Series and Transformer

Authors : Jarry, Robin; Chaumont, Marc; Berti-Equille, Laure ...

Subjects: Remote Sensing; Image Time Series; Deep LearningGlasgow; United Kingdom

Source: MVEO 2024 - Workshop on Machine Vision for Earth Observation and Environment Monitoring ; https://hal-lirmm.ccsd.cnrs.fr/lirmm-04895134 ; MVEO 2024 - Workshop on Machine

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Landslide Detection in 3D Point Clouds With Deep Siamese Convolutional Network

Authors : de Gélis, Iris; Bernard, Thomas; Lague, Dimitri ...

Subjects: Landslide detection 3D point clouds deep learning; Landslide detection; 3D point cloudsAthens; Greece

Source: IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium ; https://hal.science/hal-04778949 ; IGARSS 2024 - 2024 IEEE International Geoscience and

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Flow-guided Motion Prediction with Semantics and Dynamic Occupancy Grid Maps

Authors : Asghar, Rabbia; Liu, Wenqian; Rummelhard, Lukas ...

Subjects: Scene Prediction; Motion Forecasting; Deep LearningEdmontonEdmonton, Canada

Source: ITSC 2024 - 27th IEEE International Conference on Intelligent Transportation Systems ; https://hal.science/hal-04885618 ; ITSC 2024 - 27th IEEE International Conference

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Integrating Specialized and Generic Agent Motion Prediction with Dynamic Occupancy Grid Maps

Authors : Asghar, Rabbia; Liu, Wenqian; Rummelhard, Lukas ...

Subjects: Scene Prediction; Motion Forecasting; Deep LearningAbu Dhabi; United Arab Emirates

Source: IROS 2024 - 37th IEEE/RSJ International Conference on Intelligent Robots and Systems ; https://hal.science/hal-04885662 ; IROS 2024 - 37th IEEE/RSJ International

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Improving Pain Classification using Spatio-Temporal Deep Learning Approaches with Facial Expressions

Authors : Ridouan, Aafaf; Bohi, Amine; Mourchid, Youssef ...

Subjects: Pain assessment; Facial expressions; LandmarksEdimbourg (Ecosse); United Kingdom

Source: 18th International Conference on Machine Vision (ICMV 2025)https://hal.science/hal-0486311618th International Conference on

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Automatic raster engineering drawing digitisation for legacy parts towards advanced manufacturing

Authors : Maupou, Charles; Yang, Yin; Fodop, Gabin ...

Subjects: Engineering drawings; Object recogniton; Deep learningHuddersfield; United Kingdom

Source: Procedia CIRP ; 18th CIRP Conference on Computer Aided Tolerancing (CAT2024) ; https://hal.science/hal-04842487 ; 18th CIRP Conference on

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Collaborating Foundation Models for Domain Generalized Semantic Segmentation

Authors : Benigmim, Yasser; Roy, Subhankar; Essid, Slim ...

Subjects: Training; Adaptation models; Semantic segmentationSeattle; WA; United States

Source: The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2024 ;

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Harnessing Superclasses for Learning from Hierarchical Databases

Authors : Urbani, Nicolas; Rousseau, Sylvain; Grandvalet, Yves ...

Subjects: Deep learning; Hierarchical Supervised Classification; Proper scoring ruleVilnius (Lituanie); Lithuania

Source: Lecture Notes in Computer Science ; ECML PKDD 2024 ; https://hal.science/hal-04695348 ; ECML PKDD 2024, Sep

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فلترة النتائج

Apprentissage multi-séquences pour la segmentation des lésions de la sclérose en plaques dans l'IRM de la moelle épinière

3DSES: an indoor Lidar point cloud segmentation dataset with real and pseudo-labels from a 3D model

Predicting Socio-economic Indicator Variations with Satellite Image Time Series and Transformer

Landslide Detection in 3D Point Clouds With Deep Siamese Convolutional Network

Flow-guided Motion Prediction with Semantics and Dynamic Occupancy Grid Maps

Integrating Specialized and Generic Agent Motion Prediction with Dynamic Occupancy Grid Maps

Improving Pain Classification using Spatio-Temporal Deep Learning Approaches with Facial Expressions

Automatic raster engineering drawing digitisation for legacy parts towards advanced manufacturing

Collaborating Foundation Models for Domain Generalized Semantic Segmentation

Harnessing Superclasses for Learning from Hierarchical Databases

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