Spampinato, C.
* 2008: Bayesian Networks for Edge Preserving Salt and Pepper Image Denoising
* 2010: Automatic fish classification for underwater species behavior understanding
* 2011: Adaptive Background Modeling Integrated With Luminosity Sensors and Occlusion Processing for Reliable Vehicle Detection
* 2012: Enhancing object detection performance by integrating motion objectness and perceptual organization
* 2012: Evaluation of tracking algorithm performance without ground-truth data
* 2012: parallel edge preserving algorithm for salt and pepper image denoising, A
* 2012: Special session on high performance computing in computer vision applications (HPC-CVA)
* 2013: Covariance based modeling of underwater scenes for fish detection
* 2013: Generation of Ground Truth for Object Detection While Playing an Online Game: Productive Gaming or Recreational Working?
* 2014: Kernel Density Estimation Using Joint Spatial-Color-Depth Data for Background Modeling
* 2014: rule-based event detection system for real-life underwater domain, A
* 2014: texton-based kernel density estimation approach for background modeling under extreme conditions, A
* 2015: Automatic Summary Creation by Applying Natural Language Processing on Usntructured Medical Records
* 2015: Nonparametric label propagation using mutual local similarity in nearest neighbors
* 2015: Rejecting False Positives in Video Object Segmentation
* 2015: Special issue on animal and insect behaviour understanding in image sequences
* 2015: Superpixel-based video object segmentation using perceptual organization and location prior
* 2016: Generating reliable video annotations by exploiting the crowd
* 2016: Special issue on Fine-grained categorization in ecological multimedia
* 2017: Culto: An Ontology-based Annotation Tool for Data Curation in Cultural Heritage
* 2017: Deep Learning Human Mind for Automated Visual Classification
* 2017: Gamifying Video Object Segmentation
* 2017: Generating Knowledge-Enriched Image Annotations for Fine-Grained Visual Classification
* 2017: Generative Adversarial Networks Conditioned by Brain Signals
* 2017: Semi Supervised Semantic Segmentation Using Generative Adversarial Network
* 2018: Generating Synthetic Video Sequences by Explicitly Modeling Object Motion
* 2018: Top-down saliency detection driven by visual classification
* 2019: Saliency-Based Convolutional Neural Network for Table and Chart Detection in Digitized Documents, A
* 2020: Advanced Non-linear Generative Model with a Deep Classifier for Immunotherapy Outcome Prediction: A Bladder Cancer Case Study
* 2020: Advanced Temporal Dilated Convolutional Neural Network for a Robust Car Driver Identification
* 2020: Adversarial Framework for Unsupervised Learning of Motion Dynamics in Videos
* 2020: Biometric Recognition of PPG Cardiac Signals Using Transformed Spectrogram Images
* 2020: Visual Saliency Detection guided by Neural Signals
* 2021: Decoding Brain Representations by Multimodal Learning of Neural Activity and Visual Features
* 2021: Deep Multi-stage Model for Automated Landmarking of Craniomaxillofacial CT Scans
* 2021: Deep Recurrent-Convolutional Model for Automated Segmentation of Craniomaxillofacial CT Scans
* 2021: Exploiting structured high-level knowledge for domain-specific visual classification
* 2021: Hierarchical Domain-Adapted Feature Learning for Video Saliency Prediction
* 2021: Self-improving classification performance through GAN distillation
* 2021: SurfaceNet: Adversarial SVBRDF Estimation from a Single Image
* 2022: Transfer Without Forgetting
* 2022: Transforming Image Generation from Scene Graphs
* 2022: Transforming Image Generation from Scene Graphs
* 2023: Baseline on Continual Learning Methods for Video Action Recognition, A
* 2023: Experience Replay as an Effective Strategy for Optimizing Decentralized Federated Learning
* 2023: MeT: A graph transformer for semantic segmentation of 3D meshes
* 2023: Selective Freezing for Efficient Continual Learning
* 2023: TinyHD: Efficient Video Saliency Prediction with Heterogeneous Decoders using Hierarchical Maps Distillation
* 2023: Transformer-based image generation from scene graphs
* 2024: FedER: Federated Learning through Experience Replay and privacy-preserving data synthesis
Includes: Spampinato, C. Spampinato, C.[Concetto]
50 for Spampinato, C.
Spampinato, G.[Giuseppe]
* 2010: Chroma Noise Reduction in DCT Domain Using Soft-Thresholding
* 2014: Towards an Embedded Real-Time High Resolution Vision System
* 2016: Advanced low cost clustering system
* 2017: Adaptive Low Cost Algorithm for Video Stabilization
* 2019: Advanced Moving Camera Object Detection
* 2022: Densification of Sparse Optical Flow Using Edges Information
Includes: Spampinato, G.[Giuseppe] Spampinato, G.[Giacomo] Spampinato, G.
Spampinato, L.
* 2013: Volcanic Environments Monitoring by Drones Mud Volcano Case Study
* 2020: VEI 2 Christmas 2018 Etna Eruption: A Small But Intense Eruptive Event or the Starting Phase of a Larger One?, The
Includes: Spampinato, L. Spampinato, L.[Letizia]