From the 4 of 225 papers with an AI index.
51 citations
- DAWN Center for Independent LivingUS103 papers
- University of CopenhagenDK99 papers
- Centre National de la Recherche ScientifiqueFR94 papers
- National Institute for AstrophysicsIT90 papers
- Université Paris-SaclayFR89 papers
- Université Paris CitéFR88 papers
- Sorbonne UniversitéFR87 papers
- Institut d'Estudis Espacials de CatalunyaES84 papers
- Astronomical Observatory of RomeIT83 papers
- CEA Paris-SaclayFR83 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR83 papers
- École Polytechnique Fédérale de LausanneCH83 papers
8 papers · 1 filter
Automated Cardiac Adipose Tissue Segmentation in Computed Tomography: A Literature Review
Andreas W. Aspe, Jonas Jalili Pedersen, Andreas Ohrt Johansen +4
This review provides an overview of recent advancements in automated segmentation methods on Computed Tomography (CT) for two types of cardiac fat: Epicardial adipose Tissue (EAT)…
Materialist: Physically Based Editing Using Single-Image Inverse Rendering
Lezhong Wang, Duc Minh Tran, Ruiqi Cui +5
Achieving physically consistent image editing remains a significant challenge in computer vision. Existing image editing methods typically rely on neural networks, which struggle t…
Event-based Civil Infrastructure Visual Defect Detection: ev-CIVIL Dataset and Benchmark
Udayanga G. W. K. N. Gamage, Xuanni Huo, Luca Zanatta +4
Small unmanned aerial vehicle (UAV)-based visual inspections are a more efficient alternative to manual methods for examining civil structural defects, offering safe access to haza…
Real-Time Frame- and Event-based Object Detection with Spiking Neural Networks on Edge Neuromorphic Hardware: Design, Deployment and Benchmark
Udayanga G. W. K. N. Gamage, Yan Zeng, Cesar Cadena +2
Real-time object detection on energy-constrained platforms is critical for applications such as UAV-based inspection, autonomous navigation, and mobile robotics. Spiking neural net…
A Survey on Dynamic Neural Networks: from Computer Vision to Multi-modal Sensor Fusion
Fabio Montello, Ronja Güldenring, Simone Scardapane +1
Model compression is essential in the deployment of large Computer Vision models on embedded devices. However, static optimization techniques (e.g. pruning, quantization, etc.) neg…
Depth-Aware Image and Video Orientation Estimation
Muhammad Z. Alam, Larry Stetsiuk, M. Umair Mukati +1
This paper introduces a novel approach for image and video orientation estimation by leveraging depth distribution in natural images. The proposed method estimates the orientation…