Lorenzo Seidenari
Lorenzo Seidenari
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Marco Bertini
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Fast and effective AI approaches for video quality improvement
Language Based Image Quality Assessment
LANBIQUE: LANguage-Based Blind Image QUality Evaluation
Increasing Video Perceptual Quality with GANs and Semantic Coding
Deep Universal Generative Adversarial Compression Artifact Removal
Fast Video Quality Enhancement Using GANs
Towards Real-Time Image Enhancement GANs
Object Recognition and Tracking for Smart Audio Guides
Video Compression for Object Detection Algorithms
Deep Artwork Detection and Retrieval for Automatic Context-Aware Audio Guides
Deep Generative Adversarial Compression Artifact Removal
Reading Text in the Wild from Compressed Images
Spatio-temporal Closed-Loop Object Detection
Real-time Wearable Computer Vision System for Improved Museum Experience
Fisher Encoded Convolutional Bag-of-Windows for Efficient Image Retrieval and Social Image Tagging
Effective Codebooks for Human Action Representation and Classification in Unconstrained Videos
Multi-scale and real-time non-parametric approach for anomaly detection and localization
Adaptive Video Compression for Video Surveillance Applications
Event Detection and Recognition for Semantic Annotation of Video
Dense Spatio-temporal Features For Non-parametric Anomaly Detection And Localization
Non-parametric Anomaly Detection Exploiting Space-time Features
Human Action Recognition and Localization using Spatio-temporal Descriptors and Tracking
Recognizing Human Actions by Fusing Spatio-temporal Appearance and Motion Descriptors
Effective Codebooks for Human Action Categorization
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