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Interpretable Railway Track and Obstacle Detection using On-board LiDAR
Real-time obstacle detection on railway tracks is crucial for preventing accidents. Current solutions typically rely on static sensors …
Aitor Iglesias
,
Jose Luis Apellaniz
,
Nerea Aranjuelo Ansa
,
Pedro Brandimarte
,
Jokin Irastorza
,
Marcos Nieto
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Three-dimensional mapping of intact ovaries reveals the aging dynamics of the ovarian reserve
Female fertility depends on a finite pool of oocytes that depletes during aging, yet the spatiotemporal dynamics of this depletion …
Arturo D'Angelo
,
Daniel Franco-Barranco
,
Marco Musy
,
Juan Manuel Duran
,
James Sharpe
,
Nicholas Stroustrup
,
Ignacio Arganda-Carreras
,
Elvan Böke
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Deep learning for accurate vision-based catch composition in tropical tuna purse seiners
Purse seiners play a crucial role in tuna fishing, as approximately 69% of the world’s tropical tuna is caught using this gear. …
Xabier Lekunberri
,
Ahmad Kamal
,
Izaro Goienetxea
,
Jon Ruiz
,
Iñaki Quincoces
,
Jaime Valls Miro
,
Ignacio Arganda-Carreras
,
Jose a Fernandes-Salvador
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Project
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SCS-SupCon: Sigmoid-based common and style supervised contrastive learning with adaptive decision boundaries
Image classification can be inherently challenging due to subtle inter-class differences and substantial intra-class variations, …
Bin Wang
,
Fadi Dornaika
,
Jinan Charafeddine
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Multi-view semi-supervised classification via innovative graph construction and smoothness-aware graph convolution
Multi-view semi-supervised classification (Mv-SSC) aims to leverage complementary information from multiple views and unlabeled data to …
Guowen Peng
,
Fadi Dornaika
,
Denis Hamad
,
Vinh Truong Hoang
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Project
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ConvNeXt Meets Vision Transformers: A Powerful Hybrid Framework for Facial Age Estimation
Age estimation based on facial images is a challenging task due to the complex and nonlinear nature of facial aging, which is …
Gaby Maroun
,
Salah Eddine Bekhouche
,
Fadi Dornaika
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Synthetic Point Cloud Generation for Autonomous Driving: A Survey and Taxonomy
Autonomous driving is advancing rapidly, fueled by improvements in sensor technology and artificial intelligence (AI). Lidar-captured …
Aitor Iglesias
,
Nerea Aranjuelo Ansa
,
Ignacio Arganda-Carreras
,
Marcos Nieto
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Project
Project
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Drift detection on feature attributions for monitoring visual reinforcement learning models in maritime port surveillance
Background. Maritime activity is expanding globally, increasing the demand for robust port security systems capable of detecting …
Francisco Javier Iriarte
,
Beatrice Azoubel
,
Adrián Carrizo-Pérez
,
Andrés Chica Linares
,
Luis Unzueta
,
Ignacio Arganda-Carreras
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URL
Agentic AI: a comprehensive survey of architectures, applications, and future directions
Agentic AI represents a transformative shift in artificial intelligence, but its rapid advancement has led to a fragmented …
Mohamad Abou Ali
,
Fadi Dornaika
,
Jinan Charafeddine
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Integrating ConvNeXt and vision transformers for enhancing facial age estimation
Age estimation from facial images is a complex and multifaceted challenge in computer vision. In this study, we present a novel hybrid …
Gaby Maroun
,
Salah Eddine Bekhouche
,
Jinan Charafeddine
,
Fadi Dornaika
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