Search Results - "Francini, Gianluca"

Deep Classifiers-Based License Plate Detection, Localization and Recognition on GPU-Powered Mobile Platform by Rizvi, Syed, Patti, Denis, Björklund, Tomas, Cabodi, Gianpiero, Francini, Gianluca

“…The realization of a deep neural architecture on a mobile platform is challenging, but can open up a number of possibilities for visual analysis applications…”
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Optimized Deep Neural Networks for Real-Time Object Classification on Embedded GPUs by Rizvi, Syed, Cabodi, Gianpiero, Francini, Gianluca

“…Convolution is the most computationally intensive task of the Convolutional Neural Network (CNN). It requires a lot of memory storage and computational power…”
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Temporal dynamics clustering for analyzing cell behavior in mobile networks by Li, Shuyang, Francini, Gianluca, Magli, Enrico

“…In recent years, management and resource allocation of mobile networks have become crucial because of a dramatic growth of mobile traffic. For Internet service…”
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Robust license plate recognition using neural networks trained on synthetic images by Björklund, Tomas, Fiandrotti, Attilio, Annarumma, Mauro, Francini, Gianluca, Magli, Enrico

“…•A complete vehicle license plate reading system is proposed.•CNNs trained for LPR on only synthetic samples generalizes well to real images.•A…”
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Learning and Adapting Robust Features for Satellite Image Segmentation on Heterogeneous Data Sets by Ghassemi, Sina, Fiandrotti, Attilio, Francini, Gianluca, Magli, Enrico

“…This paper addresses the problem of training a deep neural network for satellite image segmentation so that it can be deployed over images whose statistics…”
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Deep learning based prediction of traffic peaks in mobile networks by Li, Shuyang, Magli, Enrico, Francini, Gianluca, Ghinamo, Giorgio

“…In mobile networks, it is essential to configure networks more efficiently to provide mobile users with services having better quality. For the adjacent cells,…”
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Learnable Descriptors for Visual Search by Migliorati, Andrea, Fiandrotti, Attilio, Francini, Gianluca, Leonardi, Riccardo

“…This work proposes LDVS, a learnable binary local descriptor devised for matching natural images within the MPEG CDVS framework. LDVS descriptors are learned…”
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Exploring Time Series Variability: A Training-Efficient Mobile Traffic Predictor by Li, Shuyang, Magli, Enrico, Francini, Gianluca

“…Mobile traffic forecasting is an important topic for mobile operators as accurate predictions are essential for en-hancing network efficiency. However,…”
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TDANet: An Efficient Solution For Short-Term Mobile Traffic Forecasting by Li, Shuyang, Magli, Enrico, Francini, Gianluca

“…Mobile traffic forecasting is crucial for optimizing the network configuration and improving Quality-of-Service (QoS); accurate mobile traffic predictions can…”
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To be Conservative or to be Aggressive? A Risk-Adaptive Mixture of Experts for Mobile Traffic Forecasting by Li, Shuyang, Magli, Enrico, Francini, Gianluca

“…Mobile traffic forecasting plays a key role for optimizing the configuration of network cells. Network operators are very interested in predicting upcoming…”
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Vehicle joint make and model recognition with multiscale attention windows by Ghassemi, Sina, Fiandrotti, Attilio, Caimotti, Emanuele, Francini, Gianluca, Magli, Enrico

“…Vehicle Make and Model Recognition (VMMR) deals with the problem of classifying vehicles whose appearance may vary significantly when captured from different…”
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Selection of local features for visual search by Francini, Gianluca, Lepsøy, Skjalg, Balestri, Massimo

“…In a compact descriptor for visual search only a limited number of local features may be included. The estimated probability for correct match between…”
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Method of animating a synthesized model of a human face driven by an acoustic signal by Francini, Gianluca

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A MPEG-based architecture for generic distributed multimedia scenarios by Carreras, Anna, Tous, Ruben, Rodriguez, Eva, Delgado, Jaime, Cordara, Giovanni, Francini, Gianluca, Gibellino, Diego

“…This paper presents a standards-based architecture for a complex and generic distributed multimedia scenario, which combines content search and retrieval, DRM,…”
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Feature Fusion for Robust Patch Matching with Compact Binary Descriptors by Migliorati, Andrea, Fiandrotti, Attilio, Francini, Gianluca, Lepsoy, Skjalg, Leonardi, Riccardo

“…This work addresses the problem of learning compact yet discriminative patch descriptors within a deep learning framework. We observe that features extracted…”
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Feature Fusion for Robust Patch Matching With Compact Binary Descriptors by Migliorati, Andrea, Fiandrotti, Attilio, Francini, Gianluca, Lepsoy, Skjalg, Leonardi, Riccardo

“…This work addresses the problem of learning compact yet discriminative patch descriptors within a deep learning framework. We observe that features extracted…”
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Learning Sparse Neural Networks via Sensitivity-Driven Regularization by Tartaglione, Enzo, Lepsøy, Skjalg, Fiandrotti, Attilio, Francini, Gianluca

“…The ever-increasing number of parameters in deep neural networks poses challenges for memory-limited applications. Regularize-and-prune methods aim at meeting…”
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Gabor filter based image representation for object classification by Rizvi, Syed Tahir Hussain, Cabodi, Gianpiero, Gusmao, Pedro, Francini, Gianluca

“…Data representation plays an important role in a classifier's accuracy. A given dataset may lead to better results by simply applying a change of basis while…”
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GPU-only unified ConvMM layer for neural classifiers by Rizvi, Syed Tahir Hussain, Cabodi, Gianpiero, Francini, Gianluca

“…Convolution is most computationally intensive task of Convolutional Neural Network (CNN). It demands both computational power and memory storage of processing…”
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Satellite Image Segmentation with Deep Residual Architectures for Time-Critical Applications by Ghassemi, Sina, Sandu, Constantin, Fiandrotti, Attilio, Tonolo, Fabio Giulio, Boccardo, Piero, Francini, Gianluca, Magli, Enrico

“…We address the problem of training a convolutional neural network for satellite images segmentation in emergency situations, where response time constraints…”
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