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Fabrizio Falchi
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2020 – today
- 2024
- [j47]Gabriele Lagani
, Fabrizio Falchi
Scalable bio-inspired training of Deep Neural Networks with FastHebb. Neurocomputing 595: 127867 (2024) - [j46]Edoardo Fazzari
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) - [j45]Nicola Messina
Cascaded transformer-based networks for wikipedia large-scale image-caption matching. Multim. Tools Appl. 83(23): 62915-62935 (2024) - [j44]Davide Alessandro Coccomini, Andrea Esuli
Detecting images generated by diffusers. PeerJ Comput. Sci. 10: e2127 (2024) - [j43]Luca Ciampi
In the Wild Video Violence Detection: An Unsupervised Domain Adaptation Approach. SN Comput. Sci. 5(7): 834 (2024) - [j42]Davide Alessandro Coccomini
MINTIME: Multi-Identity Size-Invariant Video Deepfake Detection. IEEE Trans. Inf. Forensics Secur. 19: 6084-6096 (2024) - [c125]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 - [c124]Davide Alessandro Coccomini, Roberto Caldelli, Claudio Gennaro, Giuseppe Fiameni, Giuseppe Amato, Fabrizio Falchi:
Robustness and Generalization of Synthetic Images Detectors. Ital-IA 2024: 165-169 - [c123]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 - [c122]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 - [i56]Davide Alessandro Coccomini, Roberto Caldelli, Claudio Gennaro, Giuseppe Fiameni, Giuseppe Amato, Fabrizio Falchi:
Deepfake Detection without Deepfakes: Generalization via Synthetic Frequency Patterns Injection. CoRR abs/2403.13479 (2024) - [i55]Lorenzo Bianchi, Fabio Carrara, Nicola Messina, Fabrizio Falchi:
Is CLIP the main roadblock for fine-grained open-world perception? CoRR abs/2404.03539 (2024) - [i54]Edoardo Fazzari, Donato Romano, Fabrizio Falchi, Cesare Stefanini:
Animal Behavior Analysis Methods Using Deep Learning: A Survey. CoRR abs/2405.14002 (2024) - [i53]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) - [i52]Davide Alessandro Coccomini, Roberto Caldelli, Giuseppe Amato, Fabrizio Falchi, Claudio Gennaro:
Adversarial Magnification to Deceive Deepfake Detection through Super Resolution. CoRR abs/2407.02670 (2024) - [i51]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) - [i50]Davide Alessandro Coccomini, Roberto Caldelli, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato:
Exploring Strengths and Weaknesses of Super-Resolution Attack in Deepfake Detection. CoRR abs/2410.04205 (2024) - 2023
- [j41]Fabio Valerio Massoli
A Leap among Quantum Computing and Quantum Neural Networks: A Survey. ACM Comput. Surv. 55(5): 98:1-98:37 (2023) - [j40]Luca Ciampi
A deep learning-based pipeline for whitefly pest abundance estimation on chromotropic sticky traps. Ecol. Informatics 78: 102384 (2023) - [j39]Davide Alessandro Coccomini
On the Generalization of Deep Learning Models in Video Deepfake Detection. J. Imaging 9(5): 89 (2023) - [j38]Michele De Bonis, Fabrizio Falchi
Graph-based methods for Author Name Disambiguation: a survey. PeerJ Comput. Sci. 9: e1536 (2023) - [c121]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 - [c120]Alessio Serra, Fabio Carrara
The Emotions of the Crowd: Learning Image Sentiment from Tweets via Cross-Modal Distillation. ECAI 2023: 2089-2096 - [c119]Michele De Bonis
A Graph Neural Network Approach for Evaluating Correctness of Groups of Duplicates. TPDL 2023: 207-219 - [c118]Luca Ciampi
MC-GTA: A Synthetic Benchmark for Multi-Camera Vehicle Tracking. ICIAP (1) 2023: 316-327 - [c117]Nicola Messina
An Optimized Pipeline for Image-Based Localization in Museums from Egocentric Images. ICIAP (1) 2023: 512-524 - [c116]Luca Ciampi
Unsupervised Domain Adaptation for Video Violence Detection in the Wild. IMPROVE 2023: 37-46 - [c115]Fabio Carrara, Luca Ciampi, Marco Di Benedetto, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato:
AIMH Lab 2022 Activities for Healthcare. Ital-IA 2023: 128-133 - [c114]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 - [c113]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 - [c112]Edoardo Fazzari, Fabio Carrara, Fabrizio Falchi, Cesare Stefanini:
A Workflow for Developing Biohybrid Intelligent Sensing Systems. Ital-IA 2023: 555-560 - [c111]Gabriele Lagani, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato:
AIMH Lab for a Susteinable Bio-Inspired AI. Ital-IA 2023: 575-584 - [c110]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 - [c109]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 - [c108]Margherita Gambini, Marco Avvenuti, Fabrizio Falchi, Maurizio Tesconi, Tiziano Fagni:
Detecting Generated Text and Attributing Language Model Source with Fine-tuned Models and Semantic Understanding. IberLEF@SEPLN 2023 - [c107]Nicola Messina
Text-to-Motion Retrieval: Towards Joint Understanding of Human Motion Data and Natural Language. SIGIR 2023: 2420-2425 - [e3]Fabrizio Falchi, Fosca Giannotti, Anna Monreale, Chiara Boldrini, Salvatore Rinzivillo, Sara Colantonio:
Proceedings of the Italia Intelligenza Artificiale - Thematic Workshops co-located with the 3rd CINI National Lab AIIS Conference on Artificial Intelligence (Ital IA 2023), Pisa, Italy, May 29-30, 2023. CEUR Workshop Proceedings 3486, CEUR-WS.org 2023 [contents] - [d8]Giuseppe Amato
VISIONE Feature Repository for VBS: Multi-Modal Features and Detected Objects from V3C1+V3C2 Dataset. Zenodo, 2023 - [d7]Giuseppe Amato
VISIONE Feature Repository for VBS: Multi-Modal Features and Detected Objects from MVK Dataset. Zenodo, 2023 - [d6]Giuseppe Amato
VISIONE Feature Repository for VBS: Multi-Modal Features and Detected Objects from VBSLHE Dataset. Zenodo, 2023 - [d5]Luca Ciampi
Pest Sticky Traps: a dataset for Whitefly Pest Population Density Estimation in Chromotropic Sticky Traps. Zenodo, 2023 - [i49]Davide Alessandro Coccomini, Andrea Esuli, Fabrizio Falchi
Detecting Images Generated by Diffusers. CoRR abs/2303.05275 (2023) - [i48]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) - [i47]Nicola Messina, Jan Sedmidubský, Fabrizio Falchi
Text-to-Motion Retrieval: Towards Joint Understanding of Human Motion Data and Natural Language. CoRR abs/2305.15842 (2023) - [i46]Gabriele Lagani
Spiking Neural Networks and Bio-Inspired Supervised Deep Learning: A Survey. CoRR abs/2307.16235 (2023) - [i45]Gabriele Lagani
Synaptic Plasticity Models and Bio-Inspired Unsupervised Deep Learning: A Survey. CoRR abs/2307.16236 (2023) - [i44]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
- [j37]Marco Di Benedetto
Deep networks for behavioral variant frontotemporal dementia identification from multiple acquisition sources. Comput. Biol. Medicine 148: 105937 (2022) - [j36]Marco Di Benedetto
An embedded toolset for human activity monitoring in critical environments. Expert Syst. Appl. 199: 117125 (2022) - [j35]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) - [j34]Fabio Carrara
Improving the Adversarial Robustness of Neural ODE Image Classifiers by Tuning the Tolerance Parameter. Inf. 13(12): 555 (2022) - [j33]Luca Guarnera
The Face Deepfake Detection Challenge. J. Imaging 8(10): 263 (2022) - [j32]Gabriele Lagani
Comparing the performance of Hebbian against backpropagation learning using convolutional neural networks. Neural Comput. Appl. 34(8): 6503-6519 (2022) - [j31]Luca Ciampi
Bus Violence: An Open Benchmark for Video Violence Detection on Public Transport. Sensors 22(21): 8345 (2022) - [j30]Fabio Valerio Massoli
MOCCA: Multilayer One-Class Classification for Anomaly Detection. IEEE Trans. Neural Networks Learn. Syst. 33(6): 2313-2323 (2022) - [c106]Nicola Messina, Matteo Stefanini, Marcella Cornia, Lorenzo Baraldi
ALADIN: Distilling Fine-grained Alignment Scores for Efficient Image-Text Matching and Retrieval. CBMI 2022: 64-70 - [c105]Fabio Carrara, Lorenzo Pasco, Claudio Gennaro, Fabrizio Falchi
Learning to Detect Fallen People in Virtual Worlds. CBMI 2022: 126-130 - [c104]Gabriele Lagani
Deep Features for CBIR with Scarce Data using Hebbian Learning. CBMI 2022: 136-141 - [c103]Nicola Messina, Giuseppe Amato, Fabio Carrara, Claudio Gennaro, Fabrizio Falchi
Recurrent Vision Transformer for Solving Visual Reasoning Problems. ICIAP (3) 2022: 50-61 - [c102]Davide Coccomini, Nicola Messina, Claudio Gennaro, Fabrizio Falchi
Combining EfficientNet and Vision Transformers for Video Deepfake Detection. ICIAP (3) 2022: 219-229 - [c101]Donato Cafarelli, Luca Ciampi
MOBDrone: A Drone Video Dataset for Man OverBoard Rescue. ICIAP (2) 2022: 633-644 - [c100]Roberto Caldelli
Tuning Neural ODE Networks to Increase Adversarial Robustness in Image Forensics. ICIP 2022: 1496-1500 - [c99]Filippo Minutella, Fabrizio Falchi, Paolo Manghi, Michele De Bonis, Nicola Messina:
Towards Unsupervised Machine Learning Approaches for Knowledge Graphs. IRCDL 2022 - [c98]Marco Avvenuti, Marco Bongiovanni, Luca Ciampi
A Spatio- Temporal Attentive Network for Video-Based Crowd Counting. ISCC 2022: 1-6 - [c97]Davide Alessandro Coccomini, Roberto Caldelli
Cross-Forgery Analysis of Vision Transformers and CNNs for Deepfake Image Detection. MAD@ICMR 2022: 52-58 - [c96]Giuseppe Amato
VISIONE at Video Browser Showdown 2022. MMM (2) 2022: 543-548 - [c95]Francesco Merola, Fabrizio Falchi
Reinforced Damage Minimization in Critical Events for Self-driving Vehicles. VISIGRAPP (5: VISAPP) 2022: 258-266 - [c94]Margherita Gambini, Tiziano Fagni, Fabrizio Falchi
On pushing DeepFake Tweet Detection capabilities to the limits. WebSci 2022: 154-163 - [e2]Tomás Skopal
Similarity Search and Applications - 15th International Conference, SISAP 2022, Bologna, Italy, October 5-7, 2022, Proceedings. Lecture Notes in Computer Science 13590, Springer 2022, ISBN 978-3-031-17848-1 [contents] - [d4]Giuseppe Amato
COCO, LVIS, Open Images V4 classes mapping. Zenodo, 2022 - [d3]Donato Cafarelli
MOBDrone: a large-scale drone-view dataset for man overboard detection. Zenodo, 2022 - [d2]Fabio Carrara
VWFP: Virtual World Fallen People Dataset for Visual Fallen People Detection. Zenodo, 2022 - [d1]Pawel Foszner
Bus Violence: a large-scale benchmark for video violence detection in public transport. Zenodo, 2022 - [i43]Donato Cafarelli, Luca Ciampi, Lucia Vadicamo, Claudio Gennaro, Andrea Berton, Marco Paterni, Chiara Benvenuti, Mirko Passera, Fabrizio Falchi:
MOBDrone: a Drone Video Dataset for Man OverBoard Rescue. CoRR abs/2203.07973 (2022) - [i42]Gabriele Lagani
Deep Features for CBIR with Scarce Data using Hebbian Learning. CoRR abs/2205.08935 (2022) - [i41]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) - [i40]Davide Alessandro Coccomini, Roberto Caldelli
Cross-Forgery Analysis of Vision Transformers and CNNs for Deepfake Image Detection. CoRR abs/2206.13829 (2022) - [i39]Nicola Messina, Matteo Stefanini, Marcella Cornia, Lorenzo Baraldi, Fabrizio Falchi
ALADIN: Distilling Fine-grained Alignment Scores for Efficient Image-Text Matching and Retrieval. CoRR abs/2207.14757 (2022) - [i38]Marco Avvenuti, Marco Bongiovanni, Luca Ciampi, Fabrizio Falchi
A Spatio-Temporal Attentive Network for Video-Based Crowd Counting. CoRR abs/2208.11339 (2022) - [i37]Fabio Carrara, Fabrizio Falchi
Deep learning for structural health monitoring: An application to heritage structures. CoRR abs/2211.10351 (2022) - [i36]Davide Alessandro Coccomini, Giorgos Kordopatis-Zilos, Giuseppe Amato, Roberto Caldelli
MINTIME: Multi-Identity Size-Invariant Video Deepfake Detection. CoRR abs/2211.10996 (2022) - 2021
- [j29]Fabio Valerio Massoli, Fabio Carrara
Detection of Face Recognition Adversarial Attacks. Comput. Vis. Image Underst. 202: 103103 (2021) - [j28]Lucia Vadicamo
Re-ranking via local embeddings: A use case with permutation-based indexing and the nSimplex projection. Inf. Syst. 95: 101506 (2021) - [j27]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) - [j26]Marco Di Benedetto
Learning accurate personal protective equipment detection from virtual worlds. Multim. Tools Appl. 80(15): 23241-23253 (2021) - [j25]Gabriele Lagani
Hebbian semi-supervised learning in a sample efficiency setting. Neural Networks 143: 719-731 (2021) - [j24]Nicola Messina, Giuseppe Amato
Solving the same-different task with convolutional neural networks. Pattern Recognit. Lett. 143: 75-80 (2021) - [j23]Nicola Messina, Giuseppe Amato
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) - [c93]Nicola Messina, Giuseppe Amato
Towards Efficient Cross-Modal Visual Textual Retrieval using Transformer-Encoder Deep Features. CBMI 2021: 1-6 - [c92]Giuseppe Amato
VISIONE at Video Browser Showdown 2021. MMM (2) 2021: 473-478 - [c91]Gabriele Lagani
Training Convolutional Neural Networks with Competitive Hebbian Learning Approaches. LOD 2021: 25-40 - [c90]Gabriele Lagani
Evaluating Hebbian Learning in a Semi-supervised Setting. LOD 2021: 365-379 - [c89]Gabriele Lagani
Assessing Pattern Recognition Performance of Neuronal Cultures through Accurate Simulation. NER 2021: 726-729 - [c88]Fabio Valerio Massoli, Donato Cafarelli
A Multi-resolution Training for Expression Recognition in the Wild (Discussion Paper). SEBD 2021: 427-433 - [c87]Nicola Messina, Fabrizio Falchi
AIMH at SemEval-2021 Task 6: Multimodal Classification Using an Ensemble of Transformer Models. SemEval@ACL/IJCNLP 2021: 1020-1026 - [i35]Nicola Messina, Giuseppe Amato, Fabio Carrara, Claudio Gennaro, Fabrizio Falchi:
Solving the Same-Different Task with Convolutional Neural Networks. CoRR abs/2101.09129 (2021) - [i34]Donato Cafarelli, Fabio Valerio Massoli, Fabrizio Falchi
Expression Recognition Analysis in the Wild. CoRR abs/2101.09231 (2021) - [i33]Fabio Valerio Massoli, Donato Cafarelli, Giuseppe Amato, Fabrizio Falchi
A Multi-resolution Approach to Expression Recognition in the Wild. CoRR abs/2103.05723 (2021) - [i32]Gabriele Lagani, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato:
Hebbian Semi-Supervised Learning in a Sample Efficiency Setting. CoRR abs/2103.09002 (2021) - [i31]Fabio Valerio Massoli, Donato Cafarelli, Claudio Gennaro, Giuseppe Amato, Fabrizio Falchi:
MAFER: a Multi-resolution Approach to Facial Expression Recognition. CoRR abs/2105.02481 (2021) - [i30]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) - [i29]Luca Ciampi, Claudio Gennaro, Fabio Carrara, Fabrizio Falchi, Claudio Vairo, Giuseppe Amato:
Multi-Camera Vehicle Counting Using Edge-AI. CoRR abs/2106.02842 (2021) - [i28]Davide Coccomini, Nicola Messina, Claudio Gennaro, Fabrizio Falchi:
Combining EfficientNet and Vision Transformers for Video Deepfake Detection. CoRR abs/2107.02612 (2021) - [i27]Fabio Valerio Massoli, Lucia Vadicamo, Giuseppe Amato, Fabrizio Falchi:
A Leap among Entanglement and Neural Networks: A Quantum Survey. CoRR abs/2107.03313 (2021) - [i26]Davide Coccomini, Nicola Messina, Claudio Gennaro, Fabrizio Falchi:
Generative Adversarial Networks for Astronomical Images Generation. CoRR abs/2111.11578 (2021) - [i25]Nicola Messina, Giuseppe Amato, Fabio Carrara, Claudio Gennaro, Fabrizio Falchi:
Recurrent Vision Transformer for Solving Visual Reasoning Problems. CoRR abs/2111.14576 (2021) - 2020
- [j22]Nicola Messina, Giuseppe Amato
Learning visual features for relational CBIR. Int. J. Multim. Inf. Retr. 9(2): 113-124 (2020) - [j21]Giuseppe Amato
Large-scale instance-level image retrieval. Inf. Process. Manag. 57(6): 102100 (2020) - [j20]Fabio Valerio Massoli, Giuseppe Amato
Cross-resolution learning for Face Recognition. Image Vis. Comput. 99: 103927 (2020) - [j19]Fabio Valerio Massoli
Cross-resolution face recognition adversarial attacks. Pattern Recognit. Lett. 140: 222-229 (2020) - [j18]Luca Ciampi
Virtual to Real Adaptation of Pedestrian Detectors. Sensors 20(18): 5250 (2020) - [c86]Fabio Carrara
Defending Neural ODE Image Classifiers from Adversarial Attacks with Tolerance Randomization. ICPR Workshops (6) 2020: 425-438 - [c85]Fabio Carrara
Combining GANs and AutoEncoders for efficient anomaly detection. ICPR 2020: 3939-3946 - [c84]Nicola Messina, Fabrizio Falchi
Transformer Reasoning Network for Image- Text Matching and Retrieval. ICPR 2020: 5222-5229 - [c83]Nicola Messina, Giuseppe Amato
Re-implementing and Extending Relation Network for R-CBIR. IRCDL 2020: 82-92 - [c82]Fabio Carrara
Continuous ODE-defined Image Features for Adaptive Retrieval. ICMR 2020: 198-206 - [c81]Danilo Sorano, Fabio Carrara
Automatic Pass Annotation from Soccer Video Streams Based on Object Detection and LSTM. ECML/PKDD (5) 2020: 475-490 - [c80]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 - [c79]Hanna Kavalionak, Claudio Gennaro, Giuseppe Amato, Claudio Vairo, Costantino Perciante, Carlo Meghini, Fabrizio Falchi, Fausto Rabitti:
Edge-Based Video Surveillance with Embedded Devices. SEBD 2020: 278-285 - [c78]Fabio Valerio Massoli, Fabrizio Falchi, Giuseppe Amato:
kNN-guided Adversarial Attacks. SEBD 2020: 302-309 - [c77]Fabio Valerio Massoli
Cross-Resolution Deep Features Based Image Search. SISAP 2020: 352-360 - [c76]Fabio Carrara
Learning Distance Estimators from Pivoted Embeddings of Metric Objects. SISAP 2020: 361-368 - [c75]Giuseppe Amato, Fabrizio Falchi, Claudio Gennaro, Fabio Valerio Massoli, Claudio Vairo:
Multi-Resolution Face Recognition with Drones. SSIP 2020: 13-18 - [i24]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) - [i23]Nicola Messina, Fabrizio Falchi
Transformer Reasoning Network for Image-Text Matching and Retrieval. CoRR abs/2004.09144 (2020) - [i22]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) - [i21]Tiziano Fagni, Fabrizio Falchi
TweepFake: about Detecting Deepfake Tweets. CoRR abs/2008.00036 (2020) - [i20]Giuseppe Amato, Paolo Bolettieri, Fabio Carrara, Franca Debole, Fabrizio Falchi
The VISIONE Video Search System: Exploiting Off-the-Shelf Text Search Engines for Large-Scale Video Retrieval. CoRR abs/2008.02749 (2020) - [i19]Nicola Messina, Giuseppe Amato, Andrea Esuli, Fabrizio Falchi
Fine-grained Visual Textual Alignment for Cross-Modal Retrieval using Transformer Encoders. CoRR abs/2008.05231 (2020) - [i18]Fabio Carrara, Giuseppe Amato, Luca Brombin, Fabrizio Falchi
Combining GANs and AutoEncoders for Efficient Anomaly Detection. CoRR abs/2011.08102 (2020) - [i17]Gabriele Lagani, Raffaele Mazziotti, Fabrizio Falchi
Assessing Pattern Recognition Performance of Neuronal Cultures through Accurate Simulation. CoRR abs/2012.10355 (2020) - [i16]Fabio Valerio Massoli, Fabrizio Falchi
MOCCA: Multi-Layer One-Class Classification for Anomaly Detection. CoRR abs/2012.12111 (2020) - [i15]Gabriele Lagani, Giuseppe Amato, Fabrizio Falchi
Training Convolutional Neural Networks With Hebbian Principal Component Analysis. CoRR abs/2012.12229 (2020)
2010 – 2019
- 2019
- [j17]Hanna Kavalionak
Distributed Video Surveillance Using Smart Cameras. J. Grid Comput. 17(1): 59-77 (2019) - [j16]Fabio Carrara
Adversarial image detection in deep neural networks. Multim. Tools Appl. 78(3): 2815-2835 (2019) - [c74]Marco Di Benedetto
Learning Safety Equipment Detection using Virtual Worlds. CBMI 2019: 1-6 - [c73]Nicola Messina, Giuseppe Amato
Testing Deep Neural Networks on the Same-Different Task. CBMI 2019: 1-6 - [c72]Fabio Valerio Massoli, Giuseppe Amato
Improving Multi-scale Face Recognition Using VGGFace2. ICIAP Workshops 2019: 21-29 - [c71]Giuseppe Amato
Learning Pedestrian Detection from Virtual Worlds. ICIAP (1) 2019: 302-312 - [c70]Giuseppe Amato
Hebbian Learning Meets Deep Convolutional Neural Networks. ICIAP (1) 2019: 324-334 - [c69]Fabio Carrara
Evaluation of Continuous Image Features Learned by ODE Nets. ICIAP (1) 2019: 432-442 - [c68]Roberto Caldelli
Exploiting CNN Layer Activations to Improve Adversarial Image Classification. ICIP 2019: 2289-2293 - [c67]Giuseppe Amato
Counting Vehicles with Deep Learning in Onboard UAV Imagery. ISCC 2019: 1-6 - [c66]Giuseppe Amato
Face Verification and Recognition for Digital Forensics and Information Security. ISDFS 2019: 1-6 - [c65]Giuseppe Amato, Paolo Bolettieri, Fabio Carrara, Franca Debole, Fabrizio Falchi
VISIONE at VBS2019. MMM (2) 2019: 591-596 - [c64]Fabio Valerio Massoli, Giuseppe Amato, Fabrizio Falchi, Claudio Gennaro, Claudio Vairo:
CNN-based System for Low Resolution Face Recognition. SEBD 2019 - [c63]Lucia Vadicamo
SPLX-Perm: A Novel Permutation-Based Representation for Approximate Metric Search. SISAP 2019: 40-48 - [c62]Lucia Vadicamo
Metric Embedding into the Hamming Space with the n-Simplex Projection. SISAP 2019: 265-272 - [c61]Paolo Bolettieri, Fabio Carrara
An Image Retrieval System for Video. SISAP 2019: 332-339 - [c60]Fabio Carrara
On the Robustness to Adversarial Examples of Neural ODE Image Classifiers. WIFS 2019: 1-6 - [i14]Giuseppe Amato, Malte Behrmann, Frédéric Bimbot, Baptiste Caramiaux
AI in the media and creative industries. CoRR abs/1905.04175 (2019) - [i13]Fabio Valerio Massoli, Giuseppe Amato, Fabrizio Falchi
Cross-Resolution Learning for Face Recognition. CoRR abs/1912.02851 (2019) - [i12]Fabio Valerio Massoli, Fabio Carrara, Giuseppe Amato, Fabrizio Falchi
Detection of Face Recognition Adversarial Attacks. CoRR abs/1912.02918 (2019) - [i11]Fabio Carrara, Fabrizio Falchi, Giuseppe Amato, Rudy Becarelli, Roberto Caldelli:
Detecting Adversarial Inputs by Looking in the Black Box. ERCIM News 2019(116) (2019) - [i10]Fabrizio Falchi:
About Deep Learning, Intuition and Thinking. ERCIM News 2019(116) (2019) - 2018
- [j15]Fabio Carrara
Picture it in your mind: generating high level visual representations from textual descriptions. Inf. Retr. J. 21(2-3): 208-229 (2018) - [j14]Giuseppe Amato
Aggregating binary local descriptors for image retrieval. Multim. Tools Appl. 77(5): 5385-5415 (2018) - [c59]Fabio Carrara
Adversarial Examples Detection in Features Distance Spaces. ECCV Workshops (2) 2018: 313-327 - [c58]Nicola Messina, Giuseppe Amato
Learning Relationship-Aware Visual Features. ECCV Workshops (4) 2018: 486-501 - [c57]Michele De Bonis, Giuseppe Amato
Deep Learning Techniques for Visual Food Recognition on a Mobile App. MISSI 2018: 303-312 - [c56]Luca Ciampi, Giuseppe Amato, Fabrizio Falchi, Claudio Gennaro, Fausto Rabitti:
Counting Vehicles with Cameras. SEBD 2018 - [c55]Giuseppe Amato
Large-Scale Image Retrieval with Elasticsearch. SIGIR 2018: 925-928 - [c54]Giuseppe Amato
Re-ranking Permutation-Based Candidate Sets with the n-Simplex Projection. SISAP 2018: 3-17 - [c53]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 - [p1]Giuseppe Amato, Leonardo Candela
How Data Mining and Machine Learning Evolved from Relational Data Base to Data Science. A Comprehensive Guide Through the Italian Database Research 2018: 287-306 - 2017
- [j13]Giuseppe Amato
Deep learning for decentralized parking lot occupancy detection. Expert Syst. Appl. 72: 327-334 (2017) - [j12]Giuseppe Amato
Preface. Inf. Syst. 64: 151 (2017) - [c52]Giuseppe Amato
Searching and annotating 100M Images with YFCC100M-HNfc6 and MI-File. CBMI 2017: 26:1-26:4 - [c51]Fabio Carrara
Detecting adversarial example attacks to deep neural networks. CBMI 2017: 38:1-38:7 - [c50]Giuseppe Amato, Paolo Barsocchi
Towards Multimodal Surveillance for Smart Building Security. IWCIM@EUSIPCO 2017: 95 - [c49]Lucia Vadicamo
Cross-Media Learning for Image Sentiment Analysis in the Wild. ICCV Workshops 2017: 308-317 - [c48]Giuseppe Amato
Efficient Indexing of Regional Maximum Activations of Convolutions using Full-Text Search Engines. ICMR 2017: 420-423 - [i9]Fabio Carrara, Andrea Esuli, Fabrizio Falchi
Exploring epoch-dependent stochastic residual networks. CoRR abs/1704.06178 (2017) - 2016
- [j11]Giuseppe Amato
Visual Recognition of Ancient Inscriptions Using Convolutional Neural Network and Fisher Vector. ACM Journal on Computing and Cultural Heritage 9(4): 21:1-21:24 (2016) - [c47]Giuseppe Amato
Large Scale Indexing and Searching Deep Convolutional Neural Network Features. DaWaK 2016: 213-224 - [c46]Giuseppe Amato, Fabrizio Falchi, Claudio Gennaro, Fausto Rabitti:
Indexing 100M Images with Deep Features and MI-File. IIR 2016 - [c45]Giuseppe Amato, Fabrizio Falchi, Fausto Rabitti, Lucia Vadicamo:
Combining Fisher Vector and Convolutional Neural Networks for Image Retrieval. IIR 2016 - [c44]Giuseppe Amato
Car parking occupancy detection using smart camera networks and Deep Learning. ISCC 2016: 1212-1217 - [c43]Giuseppe Amato, Fabrizio Falchi, Claudio Gennaro, Fausto Rabitti:
YFCC100M HybridNet fc6 Deep Features for Content-Based Image Retrieval. MMCommons @ ACM Multimedia 2016: 11-18 - [c42]Giuseppe Amato
Deep Permutations: Deep Convolutional Neural Networks and Permutation-Based Indexing. SISAP 2016: 93-106 - [c41]Giuseppe Amato
YFCC100M-HNfc6: A Large-Scale Deep Features Benchmark for Similarity Search. SISAP 2016: 196-209 - [c40]Giuseppe Amato
Using Apache Lucene to Search Vector of Locally Aggregated Descriptors. VISIGRAPP (4: VISAPP) 2016: 383-392 - [c39]Giuseppe Amato
How Effective Are Aggregation Methods on Binary Features?. VISIGRAPP (4: VISAPP) 2016: 566-573 - [i8]Giuseppe Amato, Fabrizio Falchi, Claudio Gennaro:
On Reducing the Number of Visual Words in the Bag-of-Features Representation. CoRR abs/1604.04142 (2016) - [i7]Giuseppe Amato, Paolo Bolettieri, Fabrizio Falchi, Claudio Gennaro, Lucia Vadicamo:
Using Apache Lucene to Search Vector of Locally Aggregated Descriptors. CoRR abs/1604.05576 (2016) - [i6]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) - [i5]Giuseppe Amato, Fabrizio Falchi, Lucia Vadicamo:
Aggregating Binary Local Descriptors for Image Retrieval. CoRR abs/1608.00813 (2016) - 2015
- [j10]Giuseppe Amato
A comparison of pivot selection techniques for permutation-based indexing. Inf. Syst. 52: 176-188 (2015) - [j9]Giuseppe Amato
Fast Image Classification for Monument Recognition. ACM Journal on Computing and Cultural Heritage 8(4): 18:1-18:25 (2015) - [c38]Fabio Carrara
Efficient foreground-background segmentation using local features for object detection. ICDSC 2015: 175-180 - [c37]Giuseppe Amato, Paolo Bolettieri, Fabrizio Falchi, Fausto Rabitti, Lucia Vadicamo:
Visual Recognition in the EAGLE Project. IIR 2015 - [c36]Fabio Carrara
Semiautomatic Learning of 3D Objects from Video Streams. SISAP 2015: 217-228 - [c35]Paolo Bolettieri, Vittore Casarosa, Fabrizio Falchi
Searching the EAGLE Epigraphic Material Through Image Recognition via a Mobile Device. SISAP 2015: 351-354 - [e1]Giuseppe Amato
Similarity Search and Applications - 8th International Conference, SISAP 2015, Glasgow, UK, October 12-14, 2015, Proceedings. Lecture Notes in Computer Science 9371, Springer 2015, ISBN 978-3-319-25086-1 [contents] - 2014
- [c34]Giuseppe Amato
Indexing Vectors of Locally Aggregated Descriptors Using Inverted Files. ICMR 2014: 439 - [c33]Giuseppe Amato
Some Theoretical and Experimental Observations on Permutation Spaces and Similarity Search. SISAP 2014: 37-49 - 2013
- [c32]Giuseppe Amato, Fabrizio Falchi, Claudio Gennaro:
Visual Features Selection. IIR 2013: 41-44 - [c31]Franco Alberto Cardillo, Giuseppe Amato, Fabrizio Falchi:
Experimenting a Visual Attention Model in the Context of CBIR Systems. IIR 2013: 45-56 - [c30]Giuseppe Amato, Fabrizio Falchi, Claudio Gennaro, Fausto Rabitti:
On Reducing the number of Visual Words. SEBD 2013: 313-320 - [c29]Giuseppe Amato
Pivot Selection Strategies for Permutation-Based Similarity Search. SISAP 2013: 91-102 - [c28]Giuseppe Amato
Large Scale Image Retrieval Using Vector of Locally Aggregated Descriptors. SISAP 2013: 245-256 - [c27]Franco Alberto Cardillo, Giuseppe Amato, Fabrizio Falchi:
Using Visual Attention in a CBIR System - Experimental Results on Landmark and Object Recognition Tasks. VISAPP (1) 2013: 468-471 - [c26]Giuseppe Amato, Fabrizio Falchi, Claudio Gennaro:
On Reducing the Number of Visual Words in the Bag-of-Features Representation. VISAPP (1) 2013: 657-662 - [i4]Giuseppe Amato, Paolo Bolettieri, Fabrizio Falchi, Claudio Gennaro:
Large Scale Image Retrieval Using Vectors of Locally Aggregated Descriptors. ERCIM News 2013(95) (2013) - 2012
- [j8]Fabrizio Falchi
Similarity caching in large-scale image retrieval. Inf. Process. Manag. 48(5): 803-818 (2012) - 2011
- [c25]Giuseppe Amato
Combining local and global visual feature similarity using a text search engine. CBMI 2011: 49-54 - [c24]Giuseppe Amato, Fabrizio Falchi:
Local Feature based Image Similarity Functions for kNN Classification. ICAART (1) 2011: 157-166 - [c23]Giuseppe Amato
On kNN Classification and Local Feature Based Similarity Functions. ICAART (Revised Selected Papers) 2011: 224-239 - [c22]Giuseppe Amato
Landmark recognition in VISITO: VIsual Support to Interactive TOurism in Tuscany. ICMR 2011: 61 - [c21]Giuseppe Amato
Landmark Recognition in VISITO Tuscany. MM4CH 2011: 1-13 - [c20]Giuseppe Amato
Geometric consistency checks for kNN based image classification relying on local features. SISAP 2011: 81-88 - [i3]Giuseppe Amato, Fabrizio Falchi, Paolo Bolettieri:
VISITO Tuscany: Landmark Recognition for Cultural Heritage. ERCIM News 2011(86) (2011) - 2010
- [j7]Michal Batko, Fabrizio Falchi
Building a web-scale image similarity search system. Multim. Tools Appl. 47(3): 599-629 (2010) - [c19]Giuseppe Amato
kNN based image classification relying on local feature similarity. SISAP 2010: 101-108
2000 – 2009
- 2009
- [j6]Fabrizio Falchi
Distance browsing in distributed multimedia databases. Future Gener. Comput. Syst. 25(1): 64-76 (2009) - [c18]Fabrizio Falchi
Caching content-based queries for robust and efficient image retrieval. EDBT 2009: 780-790 - [c17]Paolo Bolettieri, Fabrizio Falchi, Claudio Lucchese, Yosi Mass, Raffaele Perego, Fausto Rabitti, Michal Shmueli-Scheuer:
Searching 100M Images by Content Similarity. IRCDL 2009: 88-99 - [c16]Fabrizio Falchi, Claudio Lucchese, Salvatore Orlando, Raffaele Perego, Fausto Rabitti:
Caching Algorithms for Similarity Search. SEBD 2009: 145-152 - [i2]Paolo Bolettieri
CoPhIR: a Test Collection for Content-Based Image Retrieval. CoRR abs/0905.4627 (2009) - [i1]Fabrizio Falchi, Tiziano Fagni, Fabrizio Sebastiani:
Adaptive Committees of Feature-Specific Classifiers for Image Classification. ERCIM News 2009(78) (2009) - 2008
- [j5]Michal Batko, David Novak, Fabrizio Falchi
Scalability comparison of Peer-to-Peer similarity search structures. Future Gener. Comput. Syst. 24(8): 834-848 (2008) - [j4]Fabrizio Falchi
Efficient Video-Stream Filtering. IEEE Multim. 15(1): 52-62 (2008) - [j3]Fabrizio Falchi
Erratum to "Nearest neighbor search in metric spaces through Content-Addressable Networks" [Information Processing and Management 43 (2007) 665-683]. Inf. Process. Manag. 44(1): 410 (2008) - [j2]Fabrizio Falchi
Nearest neighbor search in metric spaces through Content-Addressable Networks. Inf. Process. Manag. 44(1): 411-429 (2008) - [c15]Fabrizio Falchi
A metric cache for similarity search. LSDS-IR 2008: 43-50 - [c14]Walter Allasia
Audio-Visual Content Analysis in P2P Networks: The SAPIR Approach. DEXA Workshops 2008: 610-614 - [c13]Giuseppe Amato, Paolo Bolettieri, Franca Debole, Fabrizio Falchi, Claudio Gennaro, Fausto Rabitti:
Using MPEG-7 for Automatic Annotation of Audiovisual Content in eLearning Digital Libraries. IRCDL 2008: 1-12 - [c12]Fabrizio Falchi
Special track on Engineering Large-Scale Distributed Systems: editorial message. SAC 2008: 453-454 - [c11]Michal Batko, Fabrizio Falchi, Claudio Lucchese, David Novak, Raffaele Perego, Fausto Rabitti, Jan Sedmidubský, Pavel Zezula:
Crawling, Indexing, and Similarity Searching Images on the Web. SEBD 2008: 382-389 - 2007
- [b1]Fabrizio Falchi:
A Content-Addressable Network for Similarity Search in Metric Spaces. University of Pisa, Italy, 2007 - [j1]Fabrizio Falchi
Nearest neighbor search in metric spaces through Content-Addressable Networks. Inf. Process. Manag. 43(3): 665-683 (2007) - [c10]Paolo Bolettieri, Fabrizio Falchi
A Digital Library Framework for Reusing e-Learning Video Documents. EC-TEL 2007: 444-449 - [c9]Fabrizio Falchi, Claudio Gennaro
A distributed incremental nearest neighbor algorithm. Infoscale 2007: 82 - [c8]Fabrizio Falchi, Fausto Rabitti, Werner Schweibenz, Jan Simane:
Florentine Coats of Arms on the Web: Experimenting with Retrieval Based on Text or Image Content. ISI 2007: 1-13 - [c7]Paolo Bolettieri, Fabrizio Falchi
Automatic metadata extraction and indexing for reusing e-learning multimedia objects. MS 2007: 21-28 - [c6]Walter Allasia
A digital rights aware similarity measure for multimedia documents. MS 2007: 73-80 - [c5]Fabrizio Falchi, Mouna Kacimi, Yosi Mass, Fausto Rabitti, Pavel Zezula:
SAPIR: Scalable and Distributed Image Searching. SAMT (Posters and Demos) 2007 - 2006
- [c4]Giuseppe Amato, Paolo Bolettieri, Franca Debole
Using MILOS to Build a Multimedia Digital Library Application: The PhotoBook Experience. ECDL 2006: 379-390 - [c3]Michal Batko, David Novak, Fabrizio Falchi
On scalability of the similarity search in the world of peers. Infoscale 2006: 20 - [c2]Giuseppe Amato, Paolo Bolettieri, Franca Debole, Fabrizio Falchi, Fausto Rabitti, Pasquale Savino:
Using MILOS to build an on-line photo album: the PhotoBook. SEBD 2006: 233-240 - 2005
- [c1]Fabrizio Falchi
A Content-Addressable Network for Similarity Search in Metric Spaces. DBISP2P 2005: 98-110
Coauthor Index
[j47] [j44] [j43] [j42] [c124] [c123] [c122] [i56] [i52] [i51] [i50] [j41] [j40] [c121] [c118] [c116] [c115] [c114] [c113] [c111] [c110] [c109] [d8] [d7] [d6] [d5] [i49] [i46] [i45] [j37] [j36] [j35] [j34] [j33] [j32] [j31] [j30] [c106] [c104] [c103] [c97] [c96] [d4] [d1] [i42] [i40] [i39] [i36] [j29] [j28] [j27] [j26] [j25] [j24] [j23] [c93] [c92] [c91] [c90] [c89] [c88] [c87] [i35] [i34] [i33] [i32] [i31] [i30] [i29] [i27] [i25] [j22] [j21] [j20] [j19] [j18] [c86] [c85] [c84] [c83] [c82] [c80] [c79] [c78] [c77] [c76] [c75] [i24] [i23] [i20] [i19] [i18] [i17] [i16] [i15] [j17] [j16] [c74] [c73] [c72] [c71] [c70] [c69] [c68] [c67] [c66] [c65] [c64] [c60] [i14] [i13] [i12] [i11] [j14] [c59] [c58] [c57] [c56] [c55] [c54] [c53] [p1] [j13] [j12] [c52] [c51] [c50] [c48] [j11] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [i8] [i7] [i5] [j10] [j9] [c38] [c37] [e1] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [i4] [c25] [c24] [c23] [c22] [c21] [c20] [i3] [c19] [c13] [c4] [c2]
[j46] [c125] [c123] [c122] [i55] [c121] [c120] [c115] [c113] [c112] [c110] [c109] [d8] [d7] [d6] [i48] [i44] [j37] [j36] [j35] [j34] [c105] [c103] [c100] [c96] [d4] [d2] [i37] [j29] [j27] [j26] [j24] [i35] [i29] [i25] [j22] [j21] [c86] [c85] [c82] [c81] [c80] [c76] [i22] [i20] [i18] [j16] [c73] [c70] [c69] [c68] [c65] [c61] [c60] [i12] [i11] [j15] [c59] [c58] [c55] [c53] [j13] [c51] [c49] [c48] [i9] [c44] [i6] [c38] [c36]
Davide Coccomini
aka: Davide Alessandro Coccomini
aka: Davide Alessandro Coccomini
[j47] [j44] [j43] [j42] [c125] [c124] [c123] [c122] [i56] [i52] [i50] [j39] [c121] [c118] [c117] [c116] [c115] [c114] [c113] [c111] [c110] [c109] [d8] [d7] [d6] [i49] [i46] [i45] [i44] [j37] [j36] [j35] [j33] [j32] [j31] [c105] [c104] [c103] [c102] [c101] [c98] [c97] [c96] [c95] [d4] [d3] [d2] [d1] [i43] [i42] [i40] [i38] [i36] [j28] [j27] [j26] [j25] [j24] [j23] [c93] [c92] [c91] [c90] [c89] [c87] [i35] [i34] [i32] [i31] [i30] [i29] [i28] [i26] [i25] [j22] [j21] [j18] [c85] [c82] [c80] [c79] [c77] [c76] [c75] [i24] [i20] [i19] [i18] [i17] [i15] [j17] [c74] [c73] [c72] [c71] [c70] [c69] [c67] [c66] [c65] [c64] [c63] [c61] [c58] [c57] [c56] [c55] [c54] [c53] [p1] [j13] [j12] [c52] [c50] [c48] [c47] [c46] [c44] [c43] [c42] [c41] [c40] [i8] [i7] [j9] [c38] [c36] [e1] [c34] [c32] [c30] [c28] [c26] [i4] [c25] [c20] [j6] [j4] [j3] [j2] [c13] [j1] [c10] [c9] [c7] [c1]
[j45] [c125] [c123] [c122] [i55] [i53] [i51] [c121] [c118] [c117] [c114] [c113] [c110] [c109] [c107] [d8] [d7] [d6] [i47] [i44] [j33] [j31] [c106] [c103] [c102] [c99] [c98] [c96] [d4] [d1] [i41] [i39] [i38] [i37] [j24] [j23] [c93] [c92] [c87] [i35] [i30] [i28] [i26] [i25] [j22] [j18] [c84] [c83] [i24] [i23] [i19] [c73] [c71] [c58]
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