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Fabio Carrara
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2020 – today
- 2024
- [j21]Lucia Vadicamo, Rahel Arnold, Werner Bailer, Fabio Carrara, Cathal Gurrin, Nico Hezel, Xinghan Li, Jakub Lokoc, Sebastian Lubos, Zhixin Ma, Nicola Messina, Thao-Nhu Nguyen, Ladislav Peska, Luca Rossetto, Loris Sauter, Klaus Schöffmann, Florian Spiess, Minh-Triet Tran, Stefanos Vrochidis:
Evaluating Performance and Trends in Interactive Video Retrieval: Insights From the 12th VBS Competition. IEEE Access 12: 79342-79366 (2024) - [j20]Konstantin Schall, Werner Bailer, Kai Uwe Barthel, Fabio Carrara, Jakub Lokoc, Ladislav Peska, Klaus Schoeffmann, Lucia Vadicamo, Claudio Vairo:
Interactive multimodal video search: an extended post-evaluation for the VBS 2022 competition. Int. J. Multim. Inf. Retr. 13(2): 15 (2024) - [j19]Edoardo Fazzari, Fabio Carrara, Fabrizio Falchi, Cesare Stefanini, Donato Romano:
Using AI to decode the behavioral responses of an insect to chemical stimuli: towards machine-animal computational technologies. Int. J. Mach. Learn. Cybern. 15(5): 1985-1994 (2024) - [c48]Lorenzo Bianchi, Fabio Carrara, Nicola Messina, Claudio Gennaro, Fabrizio Falchi:
The Devil is in the Fine-Grained Details: Evaluating open-Vocabulary Object Detectors for Fine-Grained Understanding. CVPR 2024: 22520-22529 - [c47]Giuseppe Amato, Paolo Bolettieri, Fabio Carrara, Fabrizio Falchi, Claudio Gennaro, Nicola Messina, Lucia Vadicamo, Claudio Vairo:
Will VISIONE Remain Competitive in Lifelog Image Search? LSC@ICMR 2024: 58-63 - [c46]Giuseppe Amato, Paolo Bolettieri, Fabio Carrara, Fabrizio Falchi, Claudio Gennaro, Nicola Messina, Lucia Vadicamo, Claudio Vairo:
VISIONE 5.0: Enhanced User Interface and AI Models for VBS2024. MMM (4) 2024: 332-339 - [c45]Giulio Federico, Fabio Carrara, Giuseppe Amato, Marco Di Benedetto:
Spatio-Temporal 3D Reconstruction from Frame Sequences and Feature Points. IMX Workshops 2024: 52-64 - [i15]Lorenzo Bianchi, Fabio Carrara, Nicola Messina, Fabrizio Falchi:
Is CLIP the main roadblock for fine-grained open-world perception? CoRR abs/2404.03539 (2024) - [i14]Fabio Carrara:
Bridging Virtual and Physical Worlds through AI. ERCIM News 2024(137) (2024) - 2023
- [j18]Francesco Banterle, Alessandro Artusi, Alejandro Moreo, Fabio Carrara, Paolo Cignoni:
NoR-VDPNet++: Real-Time No-Reference Image Quality Metrics. IEEE Access 11: 34544-34553 (2023) - [j17]Jose L. Salazar-González, Juan Antonio Álvarez-García, Fernando J. Rendón-Segador, Fabio Carrara:
Conditioned Cooperative training for semi-supervised weapon detection. Neural Networks 167: 489-501 (2023) - [c44]Giuseppe Amato, Paolo Bolettieri, Fabio Carrara, Fabrizio Falchi, Claudio Gennaro, Nicola Messina, Lucia Vadicamo, Claudio Vairo:
VISIONE for newbies: an easier-to-use video retrieval system. CBMI 2023: 158-162 - [c43]Alessio Serra, Fabio Carrara, Maurizio Tesconi, Fabrizio Falchi:
The Emotions of the Crowd: Learning Image Sentiment from Tweets via Cross-Modal Distillation. ECAI 2023: 2089-2096 - [c42]Jan Sedmidubský, Fabio Carrara, Giuseppe Amato:
SegmentCodeList: Unsupervised Representation Learning for Human Skeleton Data Retrieval. ECIR (2) 2023: 110-124 - [c41]Claudio Vairo, Marco Callieri, Fabio Carrara, Paolo Cignoni, Marco Di Benedetto, Claudio Gennaro, Daniela Giorgi, Gianpaolo Palma, Lucia Vadicamo, Giuseppe Amato:
Social and hUman ceNtered XR. Ital-IA 2023: 48-53 - [c40]Fabio Carrara, Luca Ciampi, Marco Di Benedetto, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato:
AIMH Lab 2022 Activities for Healthcare. Ital-IA 2023: 128-133 - [c39]Luca Ciampi, Giuseppe Amato, Paolo Bolettieri, Fabio Carrara, Marco Di Benedetto, Fabrizio Falchi, Claudio Gennaro, Nicola Messina, Lucia Vadicamo, Claudio Vairo:
AIMH Lab 2022 Activities for Vision. Ital-IA 2023: 538-543 - [c38]Edoardo Fazzari, Fabio Carrara, Fabrizio Falchi, Cesare Stefanini:
A Workflow for Developing Biohybrid Intelligent Sensing Systems. Ital-IA 2023: 555-560 - [c37]Giuseppe Amato, Paolo Bolettieri, Fabio Carrara, Fabrizio Falchi, Claudio Gennaro, Nicola Messina, Lucia Vadicamo, Claudio Vairo:
VISIONE: A Large-Scale Video Retrieval System with Advanced Search Functionalities. ICMR 2023: 649-653 - [c36]Giuseppe Amato, Paolo Bolettieri, Fabio Carrara, Fabrizio Falchi, Claudio Gennaro, Nicola Messina, Lucia Vadicamo, Claudio Vairo:
VISIONE at Video Browser Showdown 2023. MMM (1) 2023: 615-621 - [c35]Fabio Carrara, Claudio Gennaro, Lucia Vadicamo, Giuseppe Amato:
Vec2Doc: Transforming Dense Vectors into Sparse Representations for Efficient Information Retrieval. SISAP 2023: 215-222 - [i13]Alessio Serra, Fabio Carrara, Maurizio Tesconi, Fabrizio Falchi:
The Emotions of the Crowd: Learning Image Sentiment from Tweets via Cross-modal Distillation. CoRR abs/2304.14942 (2023) - [i12]Lorenzo Bianchi, Fabio Carrara, Nicola Messina, Claudio Gennaro, Fabrizio Falchi:
The devil is in the fine-grained details: Evaluating open-vocabulary object detectors for fine-grained understanding. CoRR abs/2311.17518 (2023) - 2022
- [j16]Marco Di Benedetto, Fabio Carrara, Benedetta Tafuri, Salvatore Nigro, Roberto De Blasi, Fabrizio Falchi, Claudio Gennaro, Giuseppe Gigli, Giancarlo Logroscino, Giuseppe Amato:
Deep networks for behavioral variant frontotemporal dementia identification from multiple acquisition sources. Comput. Biol. Medicine 148: 105937 (2022) - [j15]Marco Di Benedetto, Fabio Carrara, Luca Ciampi, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato:
An embedded toolset for human activity monitoring in critical environments. Expert Syst. Appl. 199: 117125 (2022) - [j14]Luca Ciampi, Claudio Gennaro, Fabio Carrara, Fabrizio Falchi, Claudio Vairo, Giuseppe Amato:
Multi-camera vehicle counting using edge-AI. Expert Syst. Appl. 207: 117929 (2022) - [j13]Fabio Carrara, Roberto Caldelli, Fabrizio Falchi, Giuseppe Amato:
Improving the Adversarial Robustness of Neural ODE Image Classifiers by Tuning the Tolerance Parameter. Inf. 13(12): 555 (2022) - [j12]Luca Ciampi, Fabio Carrara, Valentino Totaro, Raffaele Mazziotti, Leonardo Lupori, Carlos Santiago, Giuseppe Amato, Tommaso Pizzorusso, Claudio Gennaro:
Learning to count biological structures with raters' uncertainty. Medical Image Anal. 80: 102500 (2022) - [c34]Fabio Carrara, Lorenzo Pasco, Claudio Gennaro, Fabrizio Falchi:
Learning to Detect Fallen People in Virtual Worlds. CBMI 2022: 126-130 - [c33]Nicola Messina, Giuseppe Amato, Fabio Carrara, Claudio Gennaro, Fabrizio Falchi:
Recurrent Vision Transformer for Solving Visual Reasoning Problems. ICIAP (3) 2022: 50-61 - [c32]Roberto Caldelli, Fabio Carrara, Fabrizio Falchi:
Tuning Neural ODE Networks to Increase Adversarial Robustness in Image Forensics. ICIP 2022: 1496-1500 - [c31]Giuseppe Amato, Paolo Bolettieri, Fabio Carrara, Fabrizio Falchi, Claudio Gennaro, Nicola Messina, Lucia Vadicamo, Claudio Vairo:
VISIONE at Video Browser Showdown 2022. MMM (2) 2022: 543-548 - [c30]Fabio Carrara, Lucia Vadicamo, Claudio Gennaro, Giuseppe Amato:
Approximate Nearest Neighbor Search on Standard Search Engines. SISAP 2022: 214-221 - [c29]Luca Ciampi, Fabio Carrara, Giuseppe Amato, Claudio Gennaro:
Counting or Localizing? Evaluating Cell Counting and Detection in Microscopy Images. VISIGRAPP (4: VISAPP) 2022: 887-897 - [i11]Fabio Carrara, Fabrizio Falchi, Maria Girardi, Nicola Messina, Cristina Padovani, Daniele Pellegrini:
Deep learning for structural health monitoring: An application to heritage structures. CoRR abs/2211.10351 (2022) - 2021
- [j11]Fabio Valerio Massoli, Fabio Carrara, Giuseppe Amato, Fabrizio Falchi:
Detection of Face Recognition Adversarial Attacks. Comput. Vis. Image Underst. 202: 103103 (2021) - [j10]Giuseppe Amato, Paolo Bolettieri, Fabio Carrara, Franca Debole, Fabrizio Falchi, Claudio Gennaro, Lucia Vadicamo, Claudio Vairo:
The VISIONE Video Search System: Exploiting Off-the-Shelf Text Search Engines for Large-Scale Video Retrieval. J. Imaging 7(5): 76 (2021) - [j9]Marco Di Benedetto, Fabio Carrara, Enrico Meloni, Giuseppe Amato, Fabrizio Falchi, Claudio Gennaro:
Learning accurate personal protective equipment detection from virtual worlds. Multim. Tools Appl. 80(15): 23241-23253 (2021) - [j8]Nicola Messina, Giuseppe Amato, Fabio Carrara, Claudio Gennaro, Fabrizio Falchi:
Solving the same-different task with convolutional neural networks. Pattern Recognit. Lett. 143: 75-80 (2021) - [c28]Francesco Banterle, Alessandro Artusi, Alejandro Moreo, Fabio Carrara:
NoR-VDPNet++: Efficient Training and Architecture for Deep No-Reference Image Quality Metrics. SIGGRAPH Talks 2021: 11:1-11:2 - [d2]Luca Ciampi, Fabio Carrara, Valentino Totaro, Raffaele Mazziotti, Leonardo Lupori, Carlos Santiago, Giuseppe Amato, Tommaso Pizzorusso, Claudio Gennaro:
A Multi-Rater Benchmark for Perineuronal Nets Detection and Counting in Fluorescence Microscopy Images. Zenodo, 2021 - [d1]Raffaele Mazziotti, Fabio Carrara, Aurelia Viglione, Leonardo Lupori, Lo Verde Luca, Alessandro Benedetto, Ricci Giulia, Sagona Giulia, Giuseppe Amato, Tommaso Pizzorusso:
Human and Mouse Eyes for Pupil Semantic Segmentation. Zenodo, 2021 - [i10]Nicola Messina, Giuseppe Amato, Fabio Carrara, Claudio Gennaro, Fabrizio Falchi:
Solving the Same-Different Task with Convolutional Neural Networks. CoRR abs/2101.09129 (2021) - [i9]Luca Ciampi, Claudio Gennaro, Fabio Carrara, Fabrizio Falchi, Claudio Vairo, Giuseppe Amato:
Multi-Camera Vehicle Counting Using Edge-AI. CoRR abs/2106.02842 (2021) - [i8]Nicola Messina, Giuseppe Amato, Fabio Carrara, Claudio Gennaro, Fabrizio Falchi:
Recurrent Vision Transformer for Solving Visual Reasoning Problems. CoRR abs/2111.14576 (2021) - 2020
- [j7]Nicola Messina, Giuseppe Amato, Fabio Carrara, Fabrizio Falchi, Claudio Gennaro:
Learning visual features for relational CBIR. Int. J. Multim. Inf. Retr. 9(2): 113-124 (2020) - [j6]Giuseppe Amato, Fabio Carrara, Fabrizio Falchi, Claudio Gennaro, Lucia Vadicamo:
Large-scale instance-level image retrieval. Inf. Process. Manag. 57(6): 102100 (2020) - [j5]Alessandro Artusi, Francesco Banterle, Fabio Carrara, Alejandro Moreo:
Efficient Evaluation of Image Quality via Deep-Learning Approximation of Perceptual Metrics. IEEE Trans. Image Process. 29: 1843-1855 (2020) - [c27]Francesco Banterle, Alessandro Artusi, Alejandro Moreo, Fabio Carrara:
Nor-Vdpnet: A No-Reference High Dynamic Range Quality Metric Trained On Hdr-Vdp 2. ICIP 2020: 126-130 - [c26]Fabio Carrara, Roberto Caldelli, Fabrizio Falchi, Giuseppe Amato:
Defending Neural ODE Image Classifiers from Adversarial Attacks with Tolerance Randomization. ICPR Workshops (6) 2020: 425-438 - [c25]Fabio Carrara, Giuseppe Amato, Luca Brombin, Fabrizio Falchi, Claudio Gennaro:
Combining GANs and AutoEncoders for efficient anomaly detection. ICPR 2020: 3939-3946 - [c24]Fabio Carrara, Giuseppe Amato, Fabrizio Falchi, Claudio Gennaro:
Continuous ODE-defined Image Features for Adaptive Retrieval. ICMR 2020: 198-206 - [c23]Danilo Sorano, Fabio Carrara, Paolo Cintia, Fabrizio Falchi, Luca Pappalardo:
Automatic Pass Annotation from Soccer Video Streams Based on Object Detection and LSTM. ECML/PKDD (5) 2020: 475-490 - [c22]Giuseppe Amato, Fabio Carrara, Fabrizio Falchi, Claudio Gennaro, Fausto Rabitti, Lucia Vadicamo:
Scalar Quantization-Based Text Encoding for Large Scale Image Retrieval. SEBD 2020: 258-265 - [c21]Fabio Carrara, Claudio Gennaro, Fabrizio Falchi, Giuseppe Amato:
Learning Distance Estimators from Pivoted Embeddings of Metric Objects. SISAP 2020: 361-368 - [e1]Shin'ichi Satoh, Lucia Vadicamo, Arthur Zimek, Fabio Carrara, Ilaria Bartolini, Martin Aumüller, Björn Þór Jónsson, Rasmus Pagh:
Similarity Search and Applications - 13th International Conference, SISAP 2020, Copenhagen, Denmark, September 30 - October 2, 2020, Proceedings. Lecture Notes in Computer Science 12440, Springer 2020, ISBN 978-3-030-60935-1 [contents] - [i7]Danilo Sorano, Fabio Carrara, Paolo Cintia, Fabrizio Falchi, Luca Pappalardo:
Automatic Pass Annotation from Soccer VideoStreams Based on Object Detection and LSTM. CoRR abs/2007.06475 (2020) - [i6]Giuseppe Amato, Paolo Bolettieri, Fabio Carrara, Franca Debole, Fabrizio Falchi, Claudio Gennaro, Lucia Vadicamo, Claudio Vairo:
The VISIONE Video Search System: Exploiting Off-the-Shelf Text Search Engines for Large-Scale Video Retrieval. CoRR abs/2008.02749 (2020) - [i5]Fabio Carrara, Giuseppe Amato, Luca Brombin, Fabrizio Falchi, Claudio Gennaro:
Combining GANs and AutoEncoders for Efficient Anomaly Detection. CoRR abs/2011.08102 (2020)
2010 – 2019
- 2019
- [b1]Fabio Carrara:
Deep Learning for Image Classification and Retrieval: Analysis and Solutions to Current Limitations. University of Pisa, Italy, 2019 - [j4]Fabio Carrara, Fabrizio Falchi, Roberto Caldelli, Giuseppe Amato, Rudy Becarelli:
Adversarial image detection in deep neural networks. Multim. Tools Appl. 78(3): 2815-2835 (2019) - [j3]Fabio Carrara, Petr Elias, Jan Sedmidubský, Pavel Zezula:
LSTM-based real-time action detection and prediction in human motion streams. Multim. Tools Appl. 78(19): 27309-27331 (2019) - [c20]Nicola Messina, Giuseppe Amato, Fabio Carrara, Fabrizio Falchi, Claudio Gennaro:
Testing Deep Neural Networks on the Same-Different Task. CBMI 2019: 1-6 - [c19]Giuseppe Amato, Fabio Carrara, Fabrizio Falchi, Claudio Gennaro, Gabriele Lagani:
Hebbian Learning Meets Deep Convolutional Neural Networks. ICIAP (1) 2019: 324-334 - [c18]Fabio Carrara, Giuseppe Amato, Fabrizio Falchi, Claudio Gennaro:
Evaluation of Continuous Image Features Learned by ODE Nets. ICIAP (1) 2019: 432-442 - [c17]Roberto Caldelli, Rudy Becarelli, Fabio Carrara, Fabrizio Falchi, Giuseppe Amato:
Exploiting CNN Layer Activations to Improve Adversarial Image Classification. ICIP 2019: 2289-2293 - [c16]Giuseppe Amato, Paolo Bolettieri, Fabio Carrara, Franca Debole, Fabrizio Falchi, Claudio Gennaro, Lucia Vadicamo, Claudio Vairo:
VISIONE at VBS2019. MMM (2) 2019: 591-596 - [c15]Fabio Carrara:
Surrgate Text Representation of Visual Features for Fast Image Retrieval. SEBD 2019 - [c14]Fabio Carrara, Franca Debole, Claudio Gennaro, Giuseppe Amato:
Image Analysis in Technical Documentation. SEBD 2019 - [c13]Paolo Bolettieri, Fabio Carrara, Franca Debole, Fabrizio Falchi, Claudio Gennaro, Lucia Vadicamo, Claudio Vairo:
An Image Retrieval System for Video. SISAP 2019: 332-339 - [c12]Fabio Carrara, Roberto Caldelli, Fabrizio Falchi, Giuseppe Amato:
On the Robustness to Adversarial Examples of Neural ODE Image Classifiers. WIFS 2019: 1-6 - [i4]Fabio Valerio Massoli, Fabio Carrara, Giuseppe Amato, Fabrizio Falchi:
Detection of Face Recognition Adversarial Attacks. CoRR abs/1912.02918 (2019) - [i3]Fabio Carrara, Fabrizio Falchi, Giuseppe Amato, Rudy Becarelli, Roberto Caldelli:
Detecting Adversarial Inputs by Looking in the Black Box. ERCIM News 2019(116) (2019) - 2018
- [j2]Fabio Carrara, Andrea Esuli, Tiziano Fagni, Fabrizio Falchi, Alejandro Moreo Fernández:
Picture it in your mind: generating high level visual representations from textual descriptions. Inf. Retr. J. 21(2-3): 208-229 (2018) - [c11]Fabio Carrara, Rudy Becarelli, Roberto Caldelli, Fabrizio Falchi, Giuseppe Amato:
Adversarial Examples Detection in Features Distance Spaces. ECCV Workshops (2) 2018: 313-327 - [c10]Nicola Messina, Giuseppe Amato, Fabio Carrara, Fabrizio Falchi, Claudio Gennaro:
Learning Relationship-Aware Visual Features. ECCV Workshops (4) 2018: 486-501 - [c9]Giuseppe Amato, Paolo Bolettieri, Davide Moroni, Fabio Carrara, Luca Ciampi, Gabriele Pieri, Claudio Gennaro, Giuseppe Riccardo Leone, Claudio Vairo:
A Wireless Smart Camera Network for Parking Monitoring. GLOBECOM Workshops 2018: 1-6 - [c8]Giuseppe Amato, Paolo Bolettieri, Fabio Carrara, Fabrizio Falchi, Claudio Gennaro:
Large-Scale Image Retrieval with Elasticsearch. SIGIR 2018: 925-928 - [c7]Giuseppe Amato, Fabio Carrara, Fabrizio Falchi, Claudio Gennaro, Claudio Vairo:
Facial-based Intrusion Detection System with Deep Learning in Embedded Devices. SSIP 2018: 64-68 - 2017
- [j1]Giuseppe Amato, Fabio Carrara, Fabrizio Falchi, Claudio Gennaro, Carlo Meghini, Claudio Vairo:
Deep learning for decentralized parking lot occupancy detection. Expert Syst. Appl. 72: 327-334 (2017) - [c6]Fabio Carrara, Fabrizio Falchi, Roberto Caldelli, Giuseppe Amato, Roberta Fumarola, Rudy Becarelli:
Detecting adversarial example attacks to deep neural networks. CBMI 2017: 38:1-38:7 - [c5]Lucia Vadicamo, Fabio Carrara, Andrea Cimino, Stefano Cresci, Felice Dell'Orletta, Fabrizio Falchi, Maurizio Tesconi:
Cross-Media Learning for Image Sentiment Analysis in the Wild. ICCV Workshops 2017: 308-317 - [c4]Giuseppe Amato, Fabio Carrara, Fabrizio Falchi, Claudio Gennaro:
Efficient Indexing of Regional Maximum Activations of Convolutions using Full-Text Search Engines. ICMR 2017: 420-423 - [i2]Fabio Carrara, Andrea Esuli, Fabrizio Falchi, Alejandro Moreo Fernández:
Exploring epoch-dependent stochastic residual networks. CoRR abs/1704.06178 (2017) - 2016
- [c3]Giuseppe Amato, Fabio Carrara, Fabrizio Falchi, Claudio Gennaro, Claudio Vairo:
Car parking occupancy detection using smart camera networks and Deep Learning. ISCC 2016: 1212-1217 - [i1]Fabio Carrara, Andrea Esuli, Tiziano Fagni, Fabrizio Falchi, Alejandro Moreo Fernández:
Picture It In Your Mind: Generating High Level Visual Representations From Textual Descriptions. CoRR abs/1606.07287 (2016) - 2015
- [c2]Fabio Carrara, Giuseppe Amato, Fabrizio Falchi, Claudio Gennaro:
Efficient foreground-background segmentation using local features for object detection. ICDSC 2015: 175-180 - [c1]Fabio Carrara, Fabrizio Falchi, Claudio Gennaro:
Semiautomatic Learning of 3D Objects from Video Streams. SISAP 2015: 217-228
Coauthor Index
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last updated on 2024-10-09 21:31 CEST by the dblp team
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