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4th IMPROVE 2024: Angers, France
- Cosimo Distante, Francisco H. Imai, Sebastiano Battiato:
Proceedings of the 4th International Conference on Image Processing and Vision Engineering, IMPROVE 2024, Angers, France, May 2-4, 2024. SCITEPRESS 2024, ISBN 978-989-758-693-4
Invited Speakers
- Abdenour Hadid:
AI-Generated Content: Opportunities and Challenges. IMPROVE 2024: 5 - Christine Fernandez-Maloigne:
AI and High Field MRI for Neurodegenerative Diseases. IMPROVE 2024: 7 - David Rousseau:
RGB-Depth Imaging for High-Throughput Monitoring of Plant Growth. IMPROVE 2024: 9
Papers
- Mouad Zine El Abidine, Helin Dutagaci, Pejman Rasti, Maria José Aranzana, Christian Dujak, David Rousseau:
Toward Objective Variety Testing Score Based on Computer Vision and Unsupervised Machine Learning: Application to Apple Shape. 15-22 - Maxime Tual, Valérie Muzet, Philippe Foucher, Christophe Heinkelé, Pierre Charbonnier:
Using Deep Learning for the Dynamic Evaluation of Road Marking Features from Laser Imaging. 23-31 - Wissam AlKendi, Franck Gechter, Laurent Heyberger, Christophe Guyeux:
Belfort Birth Records Transcription: Preprocessing, and Structured Data Generation. 32-43 - Théo Bertrand, Laurent D. Cohen:
Fitting Tree Model with CNN and Geodesics to Track Blood Vessels in 2D Medical Images and Application to Ultrasound Localization Microscopy Data. 44-51 - Patrick Trampert, Tobias Masiak, Felix Schmidt, Nicolas Thewes, Tim Kruse, Christian Witte, Georg Schneider:
Production-Ready End-to-End Visual Quality Inspection for Defect Detection on Surfaces Based on a Multi-Stage AI System. 55-66 - Abderrazzaq Moufidi, David Rousseau, Pejman Rasti:
Multimodal Deepfake Detection for Short Videos. 67-73 - Luca Strano, Claudia Bonanno, Francesco Ragusa, Giovanni Maria Farinella, Antonino Furnari:
HERO-GPT: Zero-Shot Conversational Assistance in Industrial Domains Exploiting Large Language Models. 74-82 - Dana Skorvánková, Martin Madaras:
Leveraging Temporal Context in Human Pose Estimation: A Survey. 83-90 - Danyal Mahmood, Wei Wen Leong, Humaira Nisar, Ahmad Uzair bin Mazlan:
3D Virtual Fitting Network (3D VFN). 91-98 - Narges Ghasemi, Shahabedin Nabavi, Mohsen Ebrahimi Moghaddam, Yasser Shekofteh:
Chaotic Convolutional Long Short-Term Memory Network for Respiratory Motion Prediction. 99-106 - Claudio Vittorio Ragaglia, Francesco Guarnera, Sebastiano Battiato:
On the Exploitation of DCT Statistics for Cropping Detectors. 107-114
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