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ORCIDNicola Messina
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2020 – today
- 2024
[j9]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)- [j8]Nicola Messina, Davide Alessandro Coccomini, Andrea Esuli, Fabrizio Falchi:
Cascaded transformer-based networks for wikipedia large-scale image-caption matching. Multim. Tools Appl. 83(23): 62915-62935 (2024) - [c29]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 - [c28]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 - [c27]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 - [i19]Lorenzo Bianchi, Fabio Carrara, Nicola Messina, Fabrizio Falchi:
Is CLIP the main roadblock for fine-grained open-world perception? CoRR abs/2404.03539 (2024) - [i18]Nicola Messina, Jan Sedmidubský, Fabrizio Falchi, Tomás Rebok:
Joint-Dataset Learning and Cross-Consistent Regularization for Text-to-Motion Retrieval. CoRR abs/2407.02104 (2024) - [i17]Luca Ciampi, Nicola Messina, Matteo Pierucci, Giuseppe Amato, Marco Avvenuti, Fabrizio Falchi:
Mind the Prompt: A Novel Benchmark for Prompt-based Class-Agnostic Counting. CoRR abs/2409.15953 (2024) - 2023
- [j7]Jakub Lokoc, Stelios Andreadis, Werner Bailer, Aaron Duane, Cathal Gurrin, Zhixin Ma, Nicola Messina, Thao-Nhu Nguyen, Ladislav Peska, Luca Rossetto, Loris Sauter, Konstantin Schall, Klaus Schoeffmann, Omar Shahbaz Khan, Florian Spiess, Lucia Vadicamo, Stefanos Vrochidis:
Interactive video retrieval in the age of effective joint embedding deep models: lessons from the 11th VBS. Multim. Syst. 29(6): 3481-3504 (2023) - [c26]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 - [c25]Pawel Foszner, Agnieszka Szczesna, Luca Ciampi, Nicola Messina, Adam Cygan, Bartosz Bizon, Michal Cogiel, Dominik Golba, Elzbieta Macioszek, Michal Staniszewski:
Development of a Realistic Crowd Simulation Environment for Fine-Grained Validation of People Tracking Methods. VISIGRAPP (1: GRAPP) 2023: 222-229 - [c24]Luca Ciampi, Nicola Messina, Gaetano Emanuele Valenti, Giuseppe Amato, Fabrizio Falchi, Claudio Gennaro:
MC-GTA: A Synthetic Benchmark for Multi-Camera Vehicle Tracking. ICIAP (1) 2023: 316-327 - [c23]Nicola Messina, Fabrizio Falchi, Antonino Furnari, Claudio Gennaro, Giovanni Maria Farinella:
An Optimized Pipeline for Image-Based Localization in Museums from Egocentric Images. ICIAP (1) 2023: 512-524 - [c22]Davide Alessandro Coccomini, Roberto Caldelli, Andrea Esuli, Fabrizio Falchi, Claudio Gennaro, Nicola Messina, Giuseppe Amato:
AIMH Lab Approaches for Deepfake Detection. Ital-IA 2023: 432-436 - [c21]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 - [c20]Werner Bailer, Rahel Arnold, Vera Benz, Davide Coccomini, Anastasios Gkagkas, Gylfi Þór Guðmundsson, Silvan Heller, Björn Þór Jónsson, Jakub Lokoc, Nicola Messina, Nick Pantelidis, Jiaxin Wu:
Improving Query and Assessment Quality in Text-Based Interactive Video Retrieval Evaluation. ICMR 2023: 597-601 - [c19]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 - [c18]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 - [c17]Nicola Messina, Jan Sedmidubský, Fabrizio Falchi, Tomás Rebok:
Text-to-Motion Retrieval: Towards Joint Understanding of Human Motion Data and Natural Language. SIGIR 2023: 2420-2425 - [c16]Pawel Foszner, Agnieszka Szczesna, Luca Ciampi, Nicola Messina, Adam Cygan, Bartosz Bizon, Michal Cogiel, Dominik Golba, Elzbieta Macioszek, Michal Staniszewski:
CrowdSim2: An Open Synthetic Benchmark for Object Detectors. VISIGRAPP (5: VISAPP) 2023: 676-683 - [d5]Giuseppe Amato, Paolo Bolettieri, Fabio Carrara, Fabrizio Falchi, Claudio Gennaro, Nicola Messina, Lucia Vadicamo, Claudio Vairo:
VISIONE Feature Repository for VBS: Multi-Modal Features and Detected Objects from V3C1+V3C2 Dataset. Zenodo, 2023
- [d4]Giuseppe Amato, Paolo Bolettieri, Fabio Carrara, Fabrizio Falchi, Claudio Gennaro, Nicola Messina, Lucia Vadicamo, Claudio Vairo:
VISIONE Feature Repository for VBS: Multi-Modal Features and Detected Objects from MVK Dataset. Zenodo, 2023 - [d3]Giuseppe Amato, Paolo Bolettieri, Fabio Carrara, Fabrizio Falchi, Claudio Gennaro, Nicola Messina, Lucia Vadicamo, Claudio Vairo:
VISIONE Feature Repository for VBS: Multi-Modal Features and Detected Objects from VBSLHE Dataset. Zenodo, 2023 - [i16]Pawel Foszner, Agnieszka Szczesna, Luca Ciampi, Nicola Messina, Adam Cygan, Bartosz Bizon, Michal Cogiel, Dominik Golba, Elzbieta Macioszek, Michal Staniszewski:
CrowdSim2: an Open Synthetic Benchmark for Object Detectors. CoRR abs/2304.05090 (2023) - [i15]Pawel Foszner, Agnieszka Szczesna, Luca Ciampi, Nicola Messina, Adam Cygan, Bartosz Bizon, Michal Cogiel, Dominik Golba, Elzbieta Macioszek, Michal Staniszewski:
Development of a Realistic Crowd Simulation Environment for Fine-grained Validation of People Tracking Methods. CoRR abs/2304.13403 (2023) - [i14]Nicola Messina, Jan Sedmidubský, Fabrizio Falchi, Tomás Rebok:
Text-to-Motion Retrieval: Towards Joint Understanding of Human Motion Data and Natural Language. CoRR abs/2305.15842 (2023) - [i13]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
- [b1]Nicola Messina:
Relational Learning in Computer Vision. University of Pisa, Italy, 2022 - [j6]Luca Guarnera, Oliver Giudice, Francesco Guarnera, Alessandro Ortis, Giovanni Puglisi, Antonino Barbaro Paratore, Linh M. Q. Bui, Marco Fontani, Davide Alessandro Coccomini, Roberto Caldelli, Fabrizio Falchi, Claudio Gennaro, Nicola Messina, Giuseppe Amato, Gianpaolo Perelli, Sara Concas, Carlo Cuccu, Giulia Orrù, Gian Luca Marcialis, Sebastiano Battiato:
The Face Deepfake Detection Challenge. J. Imaging 8(10): 263 (2022) - [j5]Luca Ciampi, Pawel Foszner, Nicola Messina, Michal Staniszewski, Claudio Gennaro, Fabrizio Falchi, Gianluca Serao, Michal Cogiel, Dominik Golba, Agnieszka Szczesna, Giuseppe Amato:
Bus Violence: An Open Benchmark for Video Violence Detection on Public Transport. Sensors 22(21): 8345 (2022) - [c15]Nicola Messina, Matteo Stefanini, Marcella Cornia, Lorenzo Baraldi, Fabrizio Falchi, Giuseppe Amato, Rita Cucchiara:
ALADIN: Distilling Fine-grained Alignment Scores for Efficient Image-Text Matching and Retrieval. CBMI 2022: 64-70 - [c14]Nicola Messina, Giuseppe Amato, Fabio Carrara, Claudio Gennaro, Fabrizio Falchi:
Recurrent Vision Transformer for Solving Visual Reasoning Problems. ICIAP (3) 2022: 50-61 - [c13]Davide Coccomini, Nicola Messina, Claudio Gennaro, Fabrizio Falchi:
Combining EfficientNet and Vision Transformers for Video Deepfake Detection. ICIAP (3) 2022: 219-229 - [c12]Filippo Minutella, Fabrizio Falchi, Paolo Manghi, Michele De Bonis, Nicola Messina:
Towards Unsupervised Machine Learning Approaches for Knowledge Graphs. IRCDL 2022 - [c11]Marco Avvenuti, Marco Bongiovanni, Luca Ciampi, Fabrizio Falchi, Claudio Gennaro, Nicola Messina:
A Spatio- Temporal Attentive Network for Video-Based Crowd Counting. ISCC 2022: 1-6 - [c10]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 - [d2]Giuseppe Amato, Paolo Bolettieri, Fabio Carrara, Fabrizio Falchi, Claudio Gennaro, Nicola Messina, Lucia Vadicamo, Claudio Vairo:
COCO, LVIS, Open Images V4 classes mapping. Zenodo, 2022 - [d1]Pawel Foszner, Michal Staniszewski, Agnieszka Szczesna, Michal Cogiel, Dominik Golba, Luca Ciampi, Nicola Messina, Claudio Gennaro, Fabrizio Falchi, Giuseppe Amato, Gianluca Serao:
Bus Violence: a large-scale benchmark for video violence detection in public transport. Zenodo, 2022 - [i12]Nicola Messina, Davide Alessandro Coccomini, Andrea Esuli, Fabrizio Falchi:
Transformer-Based Multi-modal Proposal and Re-Rank for Wikipedia Image-Caption Matching. CoRR abs/2206.10436 (2022) - [i11]Nicola Messina, Matteo Stefanini, Marcella Cornia, Lorenzo Baraldi, Fabrizio Falchi, Giuseppe Amato, Rita Cucchiara:
ALADIN: Distilling Fine-grained Alignment Scores for Efficient Image-Text Matching and Retrieval. CoRR abs/2207.14757 (2022) - [i10]Marco Avvenuti, Marco Bongiovanni, Luca Ciampi, Fabrizio Falchi, Claudio Gennaro, Nicola Messina:
A Spatio-Temporal Attentive Network for Video-Based Crowd Counting. CoRR abs/2208.11339 (2022) - [i9]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
- [j4]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) - [j3]Nicola Messina, Giuseppe Amato, Andrea Esuli, Fabrizio Falchi, Claudio Gennaro, Stéphane Marchand-Maillet:
Fine-Grained Visual Textual Alignment for Cross-Modal Retrieval Using Transformer Encoders. ACM Trans. Multim. Comput. Commun. Appl. 17(4): 128:1-128:23 (2021) - [c9]Nicola Messina, Giuseppe Amato, Fabrizio Falchi, Claudio Gennaro, Stéphane Marchand-Maillet:
Towards Efficient Cross-Modal Visual Textual Retrieval using Transformer-Encoder Deep Features. CBMI 2021: 1-6 - [c8]Giuseppe Amato, Paolo Bolettieri, Fabrizio Falchi, Claudio Gennaro, Nicola Messina, Lucia Vadicamo, Claudio Vairo:
VISIONE at Video Browser Showdown 2021. MMM (2) 2021: 473-478 - [c7]Nicola Messina, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato:
AIMH at SemEval-2021 Task 6: Multimodal Classification Using an Ensemble of Transformer Models. SemEval@ACL/IJCNLP 2021: 1020-1026 - [i8]Nicola Messina, Giuseppe Amato, Fabio Carrara, Claudio Gennaro, Fabrizio Falchi:
Solving the Same-Different Task with Convolutional Neural Networks. CoRR abs/2101.09129 (2021) - [i7]Nicola Messina, Giuseppe Amato, Fabrizio Falchi, Claudio Gennaro, Stéphane Marchand-Maillet:
Towards Efficient Cross-Modal Visual Textual Retrieval using Transformer-Encoder Deep Features. CoRR abs/2106.00358 (2021) - [i6]Davide Coccomini, Nicola Messina, Claudio Gennaro, Fabrizio Falchi:
Combining EfficientNet and Vision Transformers for Video Deepfake Detection. CoRR abs/2107.02612 (2021) - [i5]Davide Coccomini, Nicola Messina, Claudio Gennaro, Fabrizio Falchi:
Generative Adversarial Networks for Astronomical Images Generation. CoRR abs/2111.11578 (2021) - [i4]Nicola Messina, Giuseppe Amato, Fabio Carrara, Claudio Gennaro, Fabrizio Falchi:
Recurrent Vision Transformer for Solving Visual Reasoning Problems. CoRR abs/2111.14576 (2021) - 2020
- [j2]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) - [j1]Luca Ciampi, Nicola Messina, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato:
Virtual to Real Adaptation of Pedestrian Detectors. Sensors 20(18): 5250 (2020) - [c6]Nicola Messina, Fabrizio Falchi, Andrea Esuli, Giuseppe Amato:
Transformer Reasoning Network for Image- Text Matching and Retrieval. ICPR 2020: 5222-5229 - [c5]Nicola Messina, Giuseppe Amato, Fabrizio Falchi:
Re-implementing and Extending Relation Network for R-CBIR. IRCDL 2020: 82-92 - [c4]Nicola Messina:
Relational Visual-Textual Information Retrieval. SISAP 2020: 405-411 - [i3]Luca Ciampi, Nicola Messina, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato:
Virtual to Real adaptation of Pedestrian Detectors for Smart Cities. CoRR abs/2001.03032 (2020) - [i2]Nicola Messina, Fabrizio Falchi, Andrea Esuli, Giuseppe Amato:
Transformer Reasoning Network for Image-Text Matching and Retrieval. CoRR abs/2004.09144 (2020) - [i1]Nicola Messina, Giuseppe Amato, Andrea Esuli, Fabrizio Falchi, Claudio Gennaro, Stéphane Marchand-Maillet:
Fine-grained Visual Textual Alignment for Cross-Modal Retrieval using Transformer Encoders. CoRR abs/2008.05231 (2020)
2010 – 2019
- 2019
- [c3]Nicola Messina, Giuseppe Amato, Fabio Carrara, Fabrizio Falchi, Claudio Gennaro:
Testing Deep Neural Networks on the Same-Different Task. CBMI 2019: 1-6 - [c2]Giuseppe Amato, Luca Ciampi, Fabrizio Falchi, Claudio Gennaro, Nicola Messina:
Learning Pedestrian Detection from Virtual Worlds. ICIAP (1) 2019: 302-312 - 2018
- [c1]Nicola Messina, Giuseppe Amato, Fabio Carrara, Fabrizio Falchi, Claudio Gennaro:
Learning Relationship-Aware Visual Features. ECCV Workshops (4) 2018: 486-501
Coauthor Index
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last updated on 2024-11-22 20:42 CET by the dblp team
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