Simone Palazzo

Orcid: 0000-0002-2441-0982

According to our database1, Simone Palazzo authored at least 103 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Rebuttal to "Comments on 'Decoding Brain Representations by Multimodal Learning of Neural Activity and Visual Features' ".
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

A Convolutional-Transformer Model for FFR and iFR Assessment From Coronary Angiography.
IEEE Trans. Medical Imaging, August, 2024

Terrain traversability prediction through self-supervised learning and unsupervised domain adaptation on synthetic data.
Auton. Robots, April, 2024

<i>FedER</i>: Federated Learning through Experience Replay and privacy-preserving data synthesis.
Comput. Vis. Image Underst., January, 2024

AIM 2024 Challenge on Video Saliency Prediction: Methods and Results.
CoRR, 2024

SalFoM: Dynamic Saliency Prediction with Video Foundation Models.
CoRR, 2024

Diffexplainer: Towards Cross-modal Global Explanations with Diffusion Models.
CoRR, 2024

Selective Attention-based Modulation for Continual Learning.
CoRR, 2024

Wake-Sleep Consolidated Learning.
CoRR, 2024

Image CAPTCHAs: When Deep Learning Breaks the Mold.
IEEE Access, 2024

Transformer-Based Video Saliency Prediction with High Temporal Dimension Decoding.
Proceedings of the 19th International Joint Conference on Computer Vision, 2024

MultiVD: A Transformer-based Multitask Approach for Software Vulnerability Detection.
Proceedings of the 21st International Conference on Security and Cryptography, 2024

Exploring Wearable Emotion Recognition with Transformer-Based Continual Learning.
Proceedings of the Artificial Intelligence in Pancreatic Disease Detection and Diagnosis, and Personalized Incremental Learning in Medicine, 2024

MatFuse: Controllable Material Generation with Diffusion Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Coronary Artery Stenosis Assessment in X-Ray Angiography Through Spatio-Temporal Attention for Non-Invasive FFR and iFR Estimation.
Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies, 2024

2023
<i>MeT</i>: A graph transformer for semantic segmentation of 3D meshes.
Comput. Vis. Image Underst., October, 2023

Transformer-based image generation from scene graphs.
Comput. Vis. Image Underst., August, 2023

MeT: A Graph Transformer for Semantic Segmentation of 3D Meshes.
CoRR, 2023

On the Effectiveness of Equivariant Regularization for Robust Online Continual Learning.
CoRR, 2023

BioTrak: A Blockchain-based Platform for Food Chain Logistics Traceability.
CoRR, 2023

Transformer-based Image Generation from Scene Graphs.
CoRR, 2023

TinyHD: Efficient Video Saliency Prediction with Heterogeneous Decoders using Hierarchical Maps Distillation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

A Privacy-Preserving Walk in the Latent Space of Generative Models for Medical Applications.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

A Baseline on Continual Learning Methods for Video Action Recognition.
Proceedings of the IEEE International Conference on Image Processing, 2023

Selective Freezing for Efficient Continual Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Experience Replay as an Effective Strategy for Optimizing Decentralized Federated Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Collective Driver Attention: Towards a Comprehensive Visual Understanding of Traffic Scenes.
Proceedings of the 9th International Conference on Control, 2023

Dynamic Graph Attention: Unraveling Spatio-Temporal Synchrony in EEG Data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
Decentralized Distributed Learning with Privacy-Preserving Data Synthesis.
CoRR, 2022

Effects of Auxiliary Knowledge on Continual Learning.
CoRR, 2022

MIDGARD: A Simulation Platform for Autonomous Navigation in Unstructured Environments.
CoRR, 2022

Explainable Deep Learning System for Advanced Silicon and Silicon Carbide Electrical Wafer Defect Map Assessment.
IEEE Access, 2022

GAN Latent Space Manipulation and Aggregation for Federated Learning in Medical Imaging.
Proceedings of the Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health, 2022

Transforming Image Generation from Scene Graphs.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Effects of Auxiliary Knowledge on Continual Learning.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Neural Transformers for Intraductal Papillary Mucosal Neoplasms (IPMN) Classification in MRI images.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Transfer Without Forgetting.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Exploiting structured high-level knowledge for domain-specific visual classification.
Pattern Recognit., 2021

Decoding Brain Representations by Multimodal Learning of Neural Activity and Visual Features.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Hierarchical Domain-Adapted Feature Learning for Video Saliency Prediction.
Int. J. Comput. Vis., 2021

Hierarchical 3D Feature Learning for Pancreas Segmentation.
CoRR, 2021

An Explainable AI System for Automated COVID-19 Assessment and Lesion Categorization from CT-scans.
CoRR, 2021

An explainable AI system for automated COVID-19 assessment and lesion categorization from CT-scans.
Artif. Intell. Medicine, 2021

Hierarchical 3D Feature Learning forPancreas Segmentation.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

Interpretable Deep Model For Predicting Gene-Addicted Non-Small-Cell Lung Cancer In Ct Scans.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Self-improving classification performance through GAN distillation.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

SurfaceNet: Adversarial SVBRDF Estimation from a Single Image.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
MASK-RL: Multiagent Video Object Segmentation Framework Through Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst., 2020

Adversarial Framework for Unsupervised Learning of Motion Dynamics in Videos.
Int. J. Comput. Vis., 2020

Correct block-design experiments mitigate temporal correlation bias in EEG classification.
CoRR, 2020

Video Saliency Detection with Domain Adaptation using Hierarchical Gradient Reversal Layers.
CoRR, 2020

Domain Adaptation for Outdoor Robot Traversability Estimation from RGB data with Safety-Preserving Loss.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Deep Multi-stage Model for Automated Landmarking of Craniomaxillofacial CT Scans.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Deep Recurrent-Convolutional Model for Automated Segmentation of Craniomaxillofacial CT Scans.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Visual Saliency Detection guided by Neural Signals.
Proceedings of the 15th IEEE International Conference on Automatic Face and Gesture Recognition, 2020

2019
Null rules for the detection of lower regularity of functions.
J. Comput. Appl. Math., 2019

A Saliency-Based Convolutional Neural Network for Table and Chart Detection in Digitized Documents.
Proceedings of the Image Analysis and Processing - ICIAP 2019, 2019

An AI-based Framework for Supporting Large Scale Automated Analysis of Video Capsule Endoscopy.
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019

Biodiversity Information Retrieval Through Large Scale Content-Based Identification: A Long-Term Evaluation.
Proceedings of the Information Retrieval Evaluation in a Changing World, 2019

2018
Top-down saliency detection driven by visual classification.
Comput. Vis. Image Underst., 2018

Decoding Brain Representations by Multimodal Learning of Neural Activity and Visual Features.
CoRR, 2018

Generating Synthetic Video Sequences by Explicitly Modeling Object Motion.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Recent Advances at the Brain-Driven Computer Vision Workshop 2018.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

2017
Gamifying Video Object Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

Deep learning for automated skeletal bone age assessment in X-ray images.
Medical Image Anal., 2017

Top-Down Saliency Detection Driven by Visual Classification.
CoRR, 2017

<i>Brain2Image</i>: Converting Brain Signals into Images.
Proceedings of the 2017 ACM on Multimedia Conference, 2017

Implicit Vs. Explicit Human Feedback for Interactive Video Object Segmentation.
Proceedings of the New Trends in Image Analysis and Processing - ICIAP 2017, 2017

Generating Knowledge-Enriched Image Annotations for Fine-Grained Visual Classification.
Proceedings of the Image Analysis and Processing - ICIAP 2017, 2017

Generative Adversarial Networks Conditioned by Brain Signals.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Deep Learning Human Mind for Automated Visual Classification.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

LifeCLEF 2017 Lab Overview: Multimedia Species Identification Challenges.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2017

2016
Fish Tracking.
Proceedings of the Fish4Knowledge: Collecting and Analyzing Massive Coral Reef Fish Video Data, 2016

Fish Detection.
Proceedings of the Fish4Knowledge: Collecting and Analyzing Massive Coral Reef Fish Video Data, 2016

Fine-grained object recognition in underwater visual data.
Multim. Tools Appl., 2016

A diversity-based search approach to support annotation of a large fish image dataset.
Multim. Syst., 2016

LifeCLEF 2016: Multimedia Life Species Identification Challenges.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2016

2015
Nonparametric label propagation using mutual local similarity in nearest neighbors.
Comput. Vis. Image Underst., 2015

Using the Eyes to "See" the Objects.
Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015

Superpixel-based video object segmentation using perceptual organization and location prior.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

LifeCLEF 2015: Multimedia Life Species Identification Challenges.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2015

Rejecting False Positives in Video Object Segmentation.
Proceedings of the Computer Analysis of Images and Patterns, 2015

2014
A rule-based event detection system for real-life underwater domain.
Mach. Vis. Appl., 2014

Understanding fish behavior during typhoon events in real-life underwater environments.
Multim. Tools Appl., 2014

An innovative web-based collaborative platform for video annotation.
Multim. Tools Appl., 2014

A research tool for long-term and continuous analysis of fish assemblage in coral-reefs using underwater camera footage.
Ecol. Informatics, 2014

A texton-based kernel density estimation approach for background modeling under extreme conditions.
Comput. Vis. Image Underst., 2014

Large Scale Data Processing in Ecology: A Case Study on Long-Term Underwater Video Monitoring.
Proceedings of the 22nd Euromicro International Conference on Parallel, 2014

Fish Species Identification in Real-Life Underwater Images.
Proceedings of the 3rd ACM International Workshop on Multimedia Analysis for Ecological Data, 2014

PeRCeiVe Lab@UNICT at MediaEval 2014 Diverse Images: Random Forests for Diversity-based Clustering.
Proceedings of the Working Notes Proceedings of the MediaEval 2014 Workshop, 2014

Kernel Density Estimation Using Joint Spatial-Color-Depth Data for Background Modeling.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Overview of the LifeCLEF 2014 Fish Task.
Proceedings of the Working Notes for CLEF 2014 Conference, 2014

2013
A video processing and data retrieval framework for fish population monitoring.
Proceedings of the 2nd ACM international workshop on Multimedia analysis for ecological data, 2013

Covariance based modeling of underwater scenes for fish detection.
Proceedings of the IEEE International Conference on Image Processing, 2013

2012
Covariance based Fish Tracking in Real-life Underwater Environment.
Proceedings of the VISAPP 2012, 2012

A semi-automatic tool for detection and tracking ground truth generation in videos.
Proceedings of the 1st International Workshop on Visual Interfaces for Ground Truth Collection in Computer Vision Applications, 2012

Event detection in underwater domain by exploiting fish trajectory clustering.
Proceedings of the 1st ACM international workshop on Multimedia analysis for ecological data, 2012

Quantitative performance analysis of object detection algorithms on underwater video footage.
Proceedings of the 1st ACM international workshop on Multimedia analysis for ecological data, 2012

Hidden Markov Models for detecting anomalous fish trajectories in underwater footage.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

Integrating unsupervised and supervised clustering methods on a GPU platform for fast image segmentation.
Proceedings of the 3rd International Conference on Image Processing Theory Tools and Applications, 2012

A parallel edge preserving algorithm for salt and pepper image denoising.
Proceedings of the 3rd International Conference on Image Processing Theory Tools and Applications, 2012

Enhancing object detection performance by integrating motion objectness and perceptual organization.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Evaluation of tracking algorithm performance without ground-truth data.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012


  Loading...