Nicola Strisciuglio

94 papers A* 7B 7C 1Misc 1Journal 55Unranked 20
YearRankTypeTitle / Venue / Authors
2026 J jnl
Animating Faces With Emotions Through a Generative Adversarial Network Preserving Identity.
IEEE Trans. Affect. Comput.
Antonio Greco, Nicola Strisciuglio, Mario Vento
2026 J jnl
Visual Grounding in 2D and 3D: A unified perspective and survey.
Inf. Fusion
Keyu Guo, Yongle Huang, Tinglei Jia, Xiangyu Song, ShiJie Sun, Hongkai Wei, Xian-Feng Han, Shuwen Huang, Nicola Strisciuglio, Shuyan Li
2025 J jnl
Breast cancer prediction using mammography exams for real hospital settings.
Comput. Biol. Medicine
Shreyasi Pathak, Jörg Schlötterer, Jeroen Geerdink, Jeroen Veltman, Maurice van Keulen, Nicola Strisciuglio, Christin Seifert
2025 A* conf
Do ImageNet-trained Models Learn Shortcuts? The Impact of Frequency Shortcuts on Generalization.
CVPR
Shunxin Wang, Raymond N. J. Veldhuis, Nicola Strisciuglio
2025 J jnl
Do ImageNet-trained models learn shortcuts? The impact of frequency shortcuts on generalization.
CoRR
Shunxin Wang, Raymond N. J. Veldhuis, Nicola Strisciuglio
2025 A* conf
Dynamic Sparse Training versus Dense Training: The Unexpected Winner in Image Corruption Robustness.
ICLR
Boqian Wu, Qiao Xiao, Shunxin Wang, Nicola Strisciuglio, Mykola Pechenizkiy, Maurice van Keulen, Decebal Constantin Mocanu, Elena Mocanu
2025 J jnl
Editorial: Computer vision and AI in real-world applications: robustness, generalization, and engineering.
Frontiers Comput. Sci.
Alessandro Bruno, Pier Luigi Mazzeo, Nicola Strisciuglio, Barbara Hammer, Mingliang Gao
2025 J jnl
Multilayer perceptron ensembles in a truly sparse training context.
Neural Comput. Appl.
Peter R. D. van der Wal, Nicola Strisciuglio, George Azzopardi, Decebal Constatin Mocanu
2025 A* conf
Not Only Text: Exploring Compositionality of Visual Representations in Vision-Language Models.
CVPR
Davide Berasi, Matteo Farina, Massimiliano Mancini, Elisa Ricci, Nicola Strisciuglio
2025 J jnl
Not Only Text: Exploring Compositionality of Visual Representations in Vision-Language Models.
CoRR
Davide Berasi, Matteo Farina, Massimiliano Mancini, Elisa Ricci, Nicola Strisciuglio
2025 — conf
Vision on the Move: Automated Hazardous Material Plate Detection in Freight Transport.
CAIP (1)
Melissa Tijink, Stanislav Levendeev, Ewaldo Nieuwenhuis, Luuk J. Spreeuwers, Nicola Strisciuglio, Estefanía Talavera
2024 J jnl
CAST: Clustering Self-Attention using Surrogate Tokens for Efficient Transformers.
CoRR
Adjorn van Engelenhoven, Nicola Strisciuglio, Estefanía Talavera
2024 J jnl
CAST: Clustering self-Attention using Surrogate Tokens for efficient transformers.
Pattern Recognit. Lett.
Adjorn van Engelenhoven, Nicola Strisciuglio, Estefanía Talavera
2024 B conf
Controllable Privacy in Face Recognition: A Filter-based Approach.
IJCB
Zohra Rezgui, Nicola Strisciuglio, Raymond N. J. Veldhuis
2024 J jnl
Dynamic Sparse Training versus Dense Training: The Unexpected Winner in Image Corruption Robustness.
CoRR
Boqian Wu, Qiao Xiao, Shunxin Wang, Nicola Strisciuglio, Mykola Pechenizkiy, Maurice van Keulen, Decebal Constantin Mocanu, Elena Mocanu
2024 — conf
Enhancing Soft Biometric Face Template Privacy with Mutual Information-Based Image Attacks.
WACV (Workshops)
Zohra Rezgui, Nicola Strisciuglio, Raymond N. J. Veldhuis
2024 A* conf
Fourier-Basis Functions to Bridge Augmentation Gap: Rethinking Frequency Augmentation in Image Classification.
CVPR
Puru Vaish, Shunxin Wang, Nicola Strisciuglio
2024 J jnl
Fourier-basis Functions to Bridge Augmentation Gap: Rethinking Frequency Augmentation in Image Classification.
CoRR
Puru Vaish, Shunxin Wang, Nicola Strisciuglio
2024 J jnl
Gender Privacy Angular Constraints for Face Recognition.
IEEE Trans. Biom. Behav. Identity Sci.
Zohra Rezgui, Nicola Strisciuglio, Raymond N. J. Veldhuis
2024 J jnl
Indoor scene recognition from images under visual corruptions.
CoRR
Willams de Lima Costa, Raul Ismayilov, Nicola Strisciuglio, Estefania Talavera Martínez
2024 J jnl
Optimized network for detecting burr-breakage in images of milling workpieces.
Log. J. IGPL
Virginia Riego-Del Castillo, Lidia Sánchez-González, Nicola Strisciuglio
2024 — conf
PushPull-Net: Inhibition-Driven ResNet Robust to Image Corruptions.
ICPR (8)
Guru Swaroop Bennabhaktula, Enrique Alegre, Nicola Strisciuglio, George Azzopardi
2024 J jnl
PushPull-Net: Inhibition-driven ResNet robust to image corruptions.
CoRR
Guru Swaroop Bennabhaktula, Enrique Alegre, Nicola Strisciuglio, George Azzopardi
2024 — conf
Quantifying White Matter Hyperintensity and Brain Volumes in Heterogeneous Clinical and Low-Field Portable MRI.
ISBI
Pablo Laso, Stefano Cerri, Annabel Sorby-Adams, Jennifer Guo, Farrah Mateen, Philipp Goebl, Jiaming Wu, Peirong Liu, Hongwei Bran Li, Sean I. Young, Benjamin Billot, Oula Puonti, Gordon Sze, Sam Payabavash, Adam DeHavenon, Kevin N. Sheth, Matthew S. Rosen, John Kirsch, Nicola Strisciuglio, Jelmer M. Wolterink, Arman Eshaghi, Frederik Barkhof, W. Taylor Kimberly, Juan Eugenio Iglesias
2024 J jnl
RDA-INR: Riemannian Diffeomorphic Autoencoding via Implicit Neural Representations.
SIAM J. Imaging Sci.
Sven Dummer, Nicola Strisciuglio, Christoph Brune
2024 A* conf
Regressing Transformers for Data-efficient Visual Place Recognition.
ICRA
Maria Leyva-Vallina, Nicola Strisciuglio, Nicolai Petkov
2024 J jnl
Regressing Transformers for Data-efficient Visual Place Recognition.
CoRR
Maria Leyva-Vallina, Nicola Strisciuglio, Nicolai Petkov
2024 — conf
Synthetic Data-Based Training of Instance Segmentation: A Robotic Bin-Picking Pipeline for Chicken Fillets.
CASE
Marissa Jonker, Wesley Roozing, Nicola Strisciuglio
2023 J jnl
Benchmarking deep networks for facial emotion recognition in the wild.
Multim. Tools Appl.
Antonio Greco, Nicola Strisciuglio, Mario Vento, Vincenzo Vigilante
2023 — conf
DFM-X: Augmentation by Leveraging Prior Knowledge of Shortcut Learning.
ICCV (Workshops)
Shunxin Wang, Christoph Brune, Raymond N. J. Veldhuis, Nicola Strisciuglio
2023 J jnl
DFM-X: Augmentation by Leveraging Prior Knowledge of Shortcut Learning.
CoRR
Shunxin Wang, Christoph Brune, Raymond N. J. Veldhuis, Nicola Strisciuglio
2023 A* conf
Data-Efficient Large Scale Place Recognition with Graded Similarity Supervision.
CVPR
Maria Leyva-Vallina, Nicola Strisciuglio, Nicolai Petkov
2023 J jnl
Data-efficient Large Scale Place Recognition with Graded Similarity Supervision.
CoRR
Maria Leyva-Vallina, Nicola Strisciuglio, Nicolai Petkov
2023 — conf
Defocus Blur Synthesis and Deblurring via Interpolation and Extrapolation in Latent Space.
CAIP (2)
Ioana Mazilu, Shunxin Wang, Sven Dummer, Raymond N. J. Veldhuis, Christoph Brune, Nicola Strisciuglio
2023 J jnl
Defocus Blur Synthesis and Deblurring via Interpolation and Extrapolation in Latent Space.
CoRR
Ioana Mazilu, Shunxin Wang, Sven Dummer, Raymond N. J. Veldhuis, Christoph Brune, Nicola Strisciuglio
2023 J jnl
Quantifying white matter hyperintensity and brain volumes in heterogeneous clinical and low-field portable MRI.
CoRR
Pablo Laso, Stefano Cerri, Annabel Sorby-Adams, Jennifer Guo, Farrah Mateen, Philipp Goebl, Jiaming Wu, Peirong Liu, Hongwei Li, Sean I. Young, Benjamin Billot, Oula Puonti, Gordon Sze, Sam Payabavash, Adam DeHavenon, Kevin N. Sheth, Matthew S. Rosen, John Kirsch, Nicola Strisciuglio, Jelmer M. Wolterink, Arman Eshaghi, Frederik Barkhof, W. Taylor Kimberly, Juan Eugenio Iglesias
2023 J jnl
RSA-INR: Riemannian Shape Autoencoding via 4D Implicit Neural Representations.
CoRR
Sven Dummer, Nicola Strisciuglio, Christoph Brune
2023 J jnl
The Robustness of Computer Vision Models against Common Corruptions: a Survey.
CoRR
Shunxin Wang, Raymond N. J. Veldhuis, Nicola Strisciuglio
2023 A* conf
What do neural networks learn in image classification? A frequency shortcut perspective.
ICCV
Shunxin Wang, Raymond N. J. Veldhuis, Christoph Brune, Nicola Strisciuglio
2023 J jnl
What do neural networks learn in image classification? A frequency shortcut perspective.
CoRR
Shunxin Wang, Raymond N. J. Veldhuis, Christoph Brune, Nicola Strisciuglio
2022 — conf
Self-supervised Learning Through Colorization for Microscopy Images.
ICIAP (2)
Vaidehi Pandey, Christoph Brune, Nicola Strisciuglio
2022 J jnl
Survey on Automated Short Answer Grading with Deep Learning: from Word Embeddings to Transformers.
CoRR
Stefan Haller, Adina Aldea, Christin Seifert, Nicola Strisciuglio
2022 J jnl
Vision-Based Module for Herding with a Sheepdog Robot.
Sensors
Virginia Riego-Del Castillo, Lidia Sánchez-González, Adrián Campazas Vega, Nicola Strisciuglio
2021 J jnl
Brain-inspired algorithms for processing of visual data.
CoRR
Nicola Strisciuglio
2021 J jnl
Burr detection and classification using RUSTICO and image processing.
J. Comput. Sci.
Virginia Riego, Lidia Sánchez-González, Laura Fernández-Robles, Alexis Gutiérrez-Fernández, Nicola Strisciuglio
2021 — conf
Deepfake Detection using Capsule Networks and Long Short-Term Memory Networks.
VISIGRAPP (4: VISAPP)
Akul Mehra, Luuk J. Spreeuwers, Nicola Strisciuglio
2021 J jnl
Generalized Contrastive Optimization of Siamese Networks for Place Recognition.
CoRR
Maria Leyva-Vallina, Nicola Strisciuglio, Nicolai Petkov
2021 — conf
MTStereo 2.0: Accurate Stereo Depth Estimation via Max-Tree Matching.
CAIP (1)
Rafaël Brandt, Nicola Strisciuglio, Nicolai Petkov
2020 J jnl
A robust contour detection operator with combined push-pull inhibition and surround suppression.
Inf. Sci.
Damiano Melotti, Kevin Heimbach, Antonio Jose Rodríguez-Sánchez, Nicola Strisciuglio, George Azzopardi
2020 — ed.
APPIS 2020: 3rd International Conference on Applications of Intelligent Systems, APPIS 2020, Las Palmas de Gran Canaria Spain, 7-9 January 2020
APPIS
Nicolai Petkov, Nicola Strisciuglio, Carlos M. Travieso-González
2020 J jnl
Efficient binocular stereo correspondence matching with 1-D Max-Trees.
Pattern Recognit. Lett.
Rafaël Brandt, Nicola Strisciuglio, Nicolai Petkov, Michael H. F. Wilkinson
2020 J jnl
Enhanced robustness of convolutional networks with a push-pull inhibition layer.
Neural Comput. Appl.
Nicola Strisciuglio, Manuel Lopez-Antequera, Nicolai Petkov
2020 J jnl
MTStereo 2.0: improved accuracy of stereo depth estimation withMax-trees.
CoRR
Rafaël Brandt, Nicola Strisciuglio, Nicolai Petkov
2020 J jnl
Multi-Objective Optimization for Asynchronous Positioning Systems Based on a Complete Characterization of Ranging Errors in 3D Complex Environments.
IEEE Access
Rubén Álvarez, Javier Díez-González, Nicola Strisciuglio, Hilde Pérez
2020 J jnl
U-COSFIRE filters for vessel tortuosity quantification with application to automated diagnosis of retinopathy of prematurity.
Neural Comput. Appl.
Sivakumar Ramachandran, Nicola Strisciuglio, Anand Vinekar, Renu John, George Azzopardi
2019 J jnl
A Push-Pull Layer Improves Robustness of Convolutional Neural Networks.
CoRR
Nicola Strisciuglio, Manuel Lopez-Antequera, Nicolai Petkov
2019 — conf
Brain-Inspired Algorithms for Processing of Visual Data.
BrainComp
Nicola Strisciuglio, Nicolai Petkov
2019 — conf
Detecting Sounds of Interest in Roads with Deep Networks.
ICIAP (2)
Pasquale Foggia, Alessia Saggese, Nicola Strisciuglio, Mario Vento, Vincenzo Vigilante
2019 J jnl
Learning representations of sound using trainable COPE feature extractors.
Pattern Recognit.
Nicola Strisciuglio, Mario Vento, Nicolai Petkov
2019 J jnl
Learning skeleton representations for human action recognition.
Pattern Recognit. Lett.
Alessia Saggese, Nicola Strisciuglio, Mario Vento, Nicolai Petkov
2019 J jnl
Learning sound representations using trainable COPE feature extractors.
CoRR
Nicola Strisciuglio, Mario Vento, Nicolai Petkov
2019 — conf
Place Recognition in Gardens by Learning Visual Representations: Data Set and Benchmark Analysis.
CAIP (1)
Maria Leyva-Vallina, Nicola Strisciuglio, Nicolai Petkov
2019 J jnl
Place and Object Recognition by CNN-Based COSFIRE Filters.
IEEE Access
Manuel Lopez-Antequera, Maria Leyva-Vallina, Nicola Strisciuglio, Nicolai Petkov
2019 J jnl
Place recognition in gardens by learning visual representations: data set and benchmark analysis.
CoRR
Maria Leyva-Vallina, Nicola Strisciuglio, Nicolai Petkov
2019 — ed.
Proceedings of the 2nd International Conference on Applications of Intelligent Systems, APPIS 2019, Las Palmas de Gran Canaria, Spain, January 07-09, 2019
APPIS
Nicolai Petkov, Nicola Strisciuglio, Carlos M. Travieso
2019 J jnl
Robust Inhibition-Augmented Operator for Delineation of Curvilinear Structures.
IEEE Trans. Image Process.
Nicola Strisciuglio, George Azzopardi, Nicolai Petkov
2019 J jnl
TB-Places: A Data Set for Visual Place Recognition in Garden Environments.
IEEE Access
Maria Leyva-Vallina, Nicola Strisciuglio, Manuel Lopez-Antequera, Radim Tylecek, Michael Blaich, Nicolai Petkov
2019 C conf
Trainable COPE Features for Sound Event Detection.
CIARP
Nicola Strisciuglio, Nicolai Petkov
2018 — ed.
Applications of Intelligent Systems - Proceedings of the 1st International APPIS Conference 2018, Las Palmas de Gran Canaria, Spain, 8-12 January 2018
APPIS
Nicolai Petkov, Nicola Strisciuglio, Carlos Manuel Travieso-González
2018 — conf
Automatic Segmentation of Indoor and Outdoor Scenes from Visual Lifelogging.
APPIS
Juan Buhagiar, Nicola Strisciuglio, Nicolai Petkov, George Azzopardi
2018 — conf
Brain-Inspired Robust Delineation Operator.
ECCV Workshops (3)
Nicola Strisciuglio, George Azzopardi, Nicolai Petkov
2018 J jnl
Brain-inspired robust delineation operator.
CoRR
Nicola Strisciuglio, George Azzopardi, Nicolai Petkov
2018 — conf
Camera Localization in Outdoor Garden Environments Using Artificial Landmarks.
IWOBI
Nicola Strisciuglio, Maria Leyva-Vallina, Nicolai Petkov, Rafael Muñoz-Salinas
2018 J jnl
Learning audio and image representations with bio-inspired trainable feature extractors.
CoRR
Nicola Strisciuglio
2018 J jnl
TrimBot2020: an outdoor robot for automatic gardening.
CoRR
Nicola Strisciuglio, Radim Tylecek, Nicolai Petkov, Peter Bieber, Jochen Hemming, Eldert J. van Henten, Torsten Sattler, Marc Pollefeys, Theo Gevers, Thomas Brox, Robert B. Fisher
2017 B conf
A real-time system for audio source localization with cheap sensor device.
AVSS
Alessia Saggese, Nicola Strisciuglio, Mario Vento, Nicolai Petkov
2017 J jnl
Action recognition by learning pose representations.
CoRR
Alessia Saggese, Nicola Strisciuglio, Mario Vento, Nicolai Petkov
2017 — conf
Delineation of line patterns in images using B-COSFIRE filters.
IWOBI
Nicola Strisciuglio, Nicolai Petkov
2017 J jnl
Delineation of line patterns in images using B-COSFIRE filters.
CoRR
Nicola Strisciuglio, Nicolai Petkov
2017 — conf
Detection of Curved Lines with B-COSFIRE Filters: A Case Study on Crack Delineation.
CAIP (1)
Nicola Strisciuglio, George Azzopardi, Nicolai Petkov
2017 J jnl
Detection of curved lines with B-COSFIRE filters: A case study on crack delineation.
CoRR
Nicola Strisciuglio, George Azzopardi, Nicolai Petkov
2017 Misc conf
Sentiment Recognition in Egocentric Photostreams.
IbPRIA
Estefanía Talavera, Nicola Strisciuglio, Nicolai Petkov, Petia Radeva
2017 J jnl
Sentiment Recognition in Egocentric Photostreams.
CoRR
Estefanía Talavera, Nicola Strisciuglio, Nicolai Petkov, Petia Radeva
2016 J jnl
Audio Surveillance of Roads: A System for Detecting Anomalous Sounds.
IEEE Trans. Intell. Transp. Syst.
Pasquale Foggia, Nicolai Petkov, Alessia Saggese, Nicola Strisciuglio, Mario Vento
2016 J jnl
Supervised vessel delineation in retinal fundus images with the automatic selection of B-COSFIRE filters.
Mach. Vis. Appl.
Nicola Strisciuglio, George Azzopardi, Mario Vento, Nicolai Petkov
2016 B conf
Time-frequency analysis for audio event detection in real scenarios.
AVSS
Alessia Saggese, Nicola Strisciuglio, Mario Vento, Nicolai Petkov
2015 — conf
Bio-Inspired Filters for Audio Analysis.
BrainComp
Nicola Strisciuglio, Mario Vento, Nicolai Petkov
2015 B conf
Car crashes detection by audio analysis in crowded roads.
AVSS
Pasquale Foggia, Alessia Saggese, Nicola Strisciuglio, Mario Vento, Nicolai Petkov
2015 — conf
Multiscale Blood Vessel Delineation Using B-COSFIRE Filters.
CAIP (2)
Nicola Strisciuglio, George Azzopardi, Mario Vento, Nicolai Petkov
2015 J jnl
Reliable detection of audio events in highly noisy environments.
Pattern Recognit. Lett.
Pasquale Foggia, Nicolai Petkov, Alessia Saggese, Nicola Strisciuglio, Mario Vento
2015 J jnl
Trainable COSFIRE filters for vessel delineation with application to retinal images.
Medical Image Anal.
George Azzopardi, Nicola Strisciuglio, Mario Vento, Nicolai Petkov
2014 B conf
Cascade classifiers trained on gammatonegrams for reliably detecting audio events.
AVSS
Pasquale Foggia, Alessia Saggese, Nicola Strisciuglio, Mario Vento
2014 B conf
Exploiting the deep learning paradigm for recognizing human actions.
AVSS
Pasquale Foggia, Alessia Saggese, Nicola Strisciuglio, Mario Vento
2013 B conf
Audio surveillance using a bag of aural words classifier.
AVSS
Vincenzo Carletti, Pasquale Foggia, Gennaro Percannella, Alessia Saggese, Nicola Strisciuglio, Mario Vento