Nicola Strisciuglio

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 61

Top Topics

Feature Extractors

Top Venues

Pattern Recognit. Lett.

Publications

Puru Vaish, Shunxin Wang, Nicola Strisciuglio
Fourier-basis Functions to Bridge Augmentation Gap: Rethinking Frequency Augmentation in Image Classification. CoRR (2024)
Zohra Rezgui, Nicola Strisciuglio, Raymond N. J. Veldhuis
Gender Privacy Angular Constraints for Face Recognition. IEEE Trans. Biom. Behav. Identity Sci. 6 (3) (2024)
Zohra Rezgui, Nicola Strisciuglio, Raymond N. J. Veldhuis
Enhancing Soft Biometric Face Template Privacy with Mutual Information-Based Image Attacks. WACV (Workshops) (2024)
Maria Leyva-Vallina, Nicola Strisciuglio, Nicolai Petkov
Regressing Transformers for Data-efficient Visual Place Recognition. CoRR (2024)
Maria Leyva-Vallina, Nicola Strisciuglio, Nicolai Petkov
Regressing Transformers for Data-efficient Visual Place Recognition. ICRA (2024)
Adjorn van Engelenhoven, Nicola Strisciuglio, Estefanía Talavera
CAST: Clustering Self-Attention using Surrogate Tokens for Efficient Transformers. CoRR (2024)
Shunxin Wang, Raymond N. J. Veldhuis, Christoph Brune, Nicola Strisciuglio
What do neural networks learn in image classification? A frequency shortcut perspective. ICCV (2023)
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
Quantifying white matter hyperintensity and brain volumes in heterogeneous clinical and low-field portable MRI. CoRR (2023)
Ioana Mazilu, Shunxin Wang, Sven Dummer, Raymond N. J. Veldhuis, Christoph Brune, Nicola Strisciuglio
Defocus Blur Synthesis and Deblurring via Interpolation and Extrapolation in Latent Space. CoRR (2023)
Ioana Mazilu, Shunxin Wang, Sven Dummer, Raymond N. J. Veldhuis, Christoph Brune, Nicola Strisciuglio
Defocus Blur Synthesis and Deblurring via Interpolation and Extrapolation in Latent Space. CAIP (2) (2023)
Antonio Greco, Nicola Strisciuglio, Mario Vento, Vincenzo Vigilante
Benchmarking deep networks for facial emotion recognition in the wild. Multim. Tools Appl. 82 (8) (2023)
Shunxin Wang, Raymond N. J. Veldhuis, Nicola Strisciuglio
The Robustness of Computer Vision Models against Common Corruptions: a Survey. CoRR (2023)
Maria Leyva-Vallina, Nicola Strisciuglio, Nicolai Petkov
Data-efficient Large Scale Place Recognition with Graded Similarity Supervision. CoRR (2023)
Shunxin Wang, Christoph Brune, Raymond N. J. Veldhuis, Nicola Strisciuglio
DFM-X: Augmentation by Leveraging Prior Knowledge of Shortcut Learning. ICCV (Workshops) (2023)
Sven Dummer, Nicola Strisciuglio, Christoph Brune
RSA-INR: Riemannian Shape Autoencoding via 4D Implicit Neural Representations. CoRR (2023)
Shunxin Wang, Christoph Brune, Raymond N. J. Veldhuis, Nicola Strisciuglio
DFM-X: Augmentation by Leveraging Prior Knowledge of Shortcut Learning. CoRR (2023)
Maria Leyva-Vallina, Nicola Strisciuglio, Nicolai Petkov
Data-Efficient Large Scale Place Recognition with Graded Similarity Supervision. CVPR (2023)
Shunxin Wang, Raymond N. J. Veldhuis, Christoph Brune, Nicola Strisciuglio
What do neural networks learn in image classification? A frequency shortcut perspective. CoRR (2023)
Virginia Riego-Del Castillo, Lidia Sánchez-González, Adrián Campazas Vega, Nicola Strisciuglio
Vision-Based Module for Herding with a Sheepdog Robot. Sensors 22 (14) (2022)
Stefan Haller, Adina Aldea, Christin Seifert, Nicola Strisciuglio
Survey on Automated Short Answer Grading with Deep Learning: from Word Embeddings to Transformers. CoRR (2022)
Vaidehi Pandey, Christoph Brune, Nicola Strisciuglio
Self-supervised Learning Through Colorization for Microscopy Images. ICIAP (2) (2022)
Maria Leyva-Vallina, Nicola Strisciuglio, Nicolai Petkov
Generalized Contrastive Optimization of Siamese Networks for Place Recognition. CoRR (2021)
Nicola Strisciuglio
Brain-inspired algorithms for processing of visual data. CoRR (2021)
Virginia Riego, Lidia Sánchez-González, Laura Fernández-Robles, Alexis Gutiérrez-Fernández, Nicola Strisciuglio
Burr detection and classification using RUSTICO and image processing. J. Comput. Sci. 56 (2021)
Rafaël Brandt, Nicola Strisciuglio, Nicolai Petkov
MTStereo 2.0: Accurate Stereo Depth Estimation via Max-Tree Matching. CAIP (1) (2021)
Akul Mehra, Luuk J. Spreeuwers, Nicola Strisciuglio
Deepfake Detection using Capsule Networks and Long Short-Term Memory Networks. VISIGRAPP (4: VISAPP) (2021)
Rafaël Brandt, Nicola Strisciuglio, Nicolai Petkov
MTStereo 2.0: improved accuracy of stereo depth estimation withMax-trees. CoRR (2020)
Nicola Strisciuglio, Manuel Lopez-Antequera, Nicolai Petkov
Enhanced robustness of convolutional networks with a push-pull inhibition layer. Neural Comput. Appl. 32 (24) (2020)
Rafaël Brandt, Nicola Strisciuglio, Nicolai Petkov, Michael H. F. Wilkinson
Efficient binocular stereo correspondence matching with 1-D Max-Trees. Pattern Recognit. Lett. 135 (2020)
Rubén Álvarez, Javier Díez-González, Nicola Strisciuglio, Hilde Pérez
Multi-Objective Optimization for Asynchronous Positioning Systems Based on a Complete Characterization of Ranging Errors in 3D Complex Environments. IEEE Access 8 (2020)
Sivakumar Ramachandran, Nicola Strisciuglio, Anand Vinekar, Renu John, George Azzopardi
U-COSFIRE filters for vessel tortuosity quantification with application to automated diagnosis of retinopathy of prematurity. Neural Comput. Appl. 32 (16) (2020)
Damiano Melotti, Kevin Heimbach, Antonio Jose Rodríguez-Sánchez, Nicola Strisciuglio, George Azzopardi
A robust contour detection operator with combined push-pull inhibition and surround suppression. Inf. Sci. 524 (2020)
Manuel Lopez-Antequera, Maria Leyva-Vallina, Nicola Strisciuglio, Nicolai Petkov
Place and Object Recognition by CNN-Based COSFIRE Filters. IEEE Access 7 (2019)
Pasquale Foggia, Alessia Saggese, Nicola Strisciuglio, Mario Vento, Vincenzo Vigilante
Detecting Sounds of Interest in Roads with Deep Networks. ICIAP (2) (2019)
Maria Leyva-Vallina, Nicola Strisciuglio, Nicolai Petkov
Place recognition in gardens by learning visual representations: data set and benchmark analysis. CoRR (2019)
Nicola Strisciuglio, Nicolai Petkov
Brain-Inspired Algorithms for Processing of Visual Data. BrainComp (2019)
Maria Leyva-Vallina, Nicola Strisciuglio, Nicolai Petkov
Place Recognition in Gardens by Learning Visual Representations: Data Set and Benchmark Analysis. CAIP (1) (2019)
Nicola Strisciuglio, George Azzopardi, Nicolai Petkov
Robust Inhibition-Augmented Operator for Delineation of Curvilinear Structures. IEEE Trans. Image Process. 28 (12) (2019)
Nicola Strisciuglio, Mario Vento, Nicolai Petkov
Learning representations of sound using trainable COPE feature extractors. Pattern Recognit. 92 (2019)
Alessia Saggese, Nicola Strisciuglio, Mario Vento, Nicolai Petkov
Learning skeleton representations for human action recognition. Pattern Recognit. Lett. 118 (2019)
Nicola Strisciuglio, Mario Vento, Nicolai Petkov
Learning sound representations using trainable COPE feature extractors. CoRR (2019)
Maria Leyva-Vallina, Nicola Strisciuglio, Manuel Lopez-Antequera, Radim Tylecek, Michael Blaich, Nicolai Petkov
TB-Places: A Data Set for Visual Place Recognition in Garden Environments. IEEE Access 7 (2019)
Nicola Strisciuglio, Nicolai Petkov
Trainable COPE Features for Sound Event Detection. CIARP (2019)
Nicola Strisciuglio, Manuel Lopez-Antequera, Nicolai Petkov
A Push-Pull Layer Improves Robustness of Convolutional Neural Networks. CoRR (2019)
Nicola Strisciuglio
Learning audio and image representations with bio-inspired trainable feature extractors. CoRR (2018)
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
TrimBot2020: an outdoor robot for automatic gardening. CoRR (2018)
Juan Buhagiar, Nicola Strisciuglio, Nicolai Petkov, George Azzopardi
Automatic Segmentation of Indoor and Outdoor Scenes from Visual Lifelogging. APPIS (2018)
Nicola Strisciuglio, George Azzopardi, Nicolai Petkov
Brain-inspired robust delineation operator. CoRR (2018)
Nicola Strisciuglio, Maria Leyva-Vallina, Nicolai Petkov, Rafael Muñoz-Salinas
Camera Localization in Outdoor Garden Environments Using Artificial Landmarks. IWOBI (2018)
Nicola Strisciuglio, George Azzopardi, Nicolai Petkov
Brain-Inspired Robust Delineation Operator. ECCV Workshops (3) (2018)
Estefanía Talavera, Nicola Strisciuglio, Nicolai Petkov, Petia Radeva
Sentiment Recognition in Egocentric Photostreams. IbPRIA (2017)
Nicola Strisciuglio, George Azzopardi, Nicolai Petkov
Detection of Curved Lines with B-COSFIRE Filters: A Case Study on Crack Delineation. CAIP (1) (2017)
Alessia Saggese, Nicola Strisciuglio, Mario Vento, Nicolai Petkov
Action recognition by learning pose representations. CoRR (2017)
Nicola Strisciuglio, George Azzopardi, Nicolai Petkov
Detection of curved lines with B-COSFIRE filters: A case study on crack delineation. CoRR (2017)
Estefanía Talavera, Nicola Strisciuglio, Nicolai Petkov, Petia Radeva
Sentiment Recognition in Egocentric Photostreams. CoRR (2017)
Nicola Strisciuglio, Nicolai Petkov
Delineation of line patterns in images using B-COSFIRE filters. IWOBI (2017)
Nicola Strisciuglio, Nicolai Petkov
Delineation of line patterns in images using B-COSFIRE filters. CoRR (2017)
Alessia Saggese, Nicola Strisciuglio, Mario Vento, Nicolai Petkov
A real-time system for audio source localization with cheap sensor device. AVSS (2017)
Nicola Strisciuglio, George Azzopardi, Mario Vento, Nicolai Petkov
Supervised vessel delineation in retinal fundus images with the automatic selection of B-COSFIRE filters. Mach. Vis. Appl. 27 (8) (2016)
Pasquale Foggia, Nicolai Petkov, Alessia Saggese, Nicola Strisciuglio, Mario Vento
Audio Surveillance of Roads: A System for Detecting Anomalous Sounds. IEEE Trans. Intell. Transp. Syst. 17 (1) (2016)
Alessia Saggese, Nicola Strisciuglio, Mario Vento, Nicolai Petkov
Time-frequency analysis for audio event detection in real scenarios. AVSS (2016)
George Azzopardi, Nicola Strisciuglio, Mario Vento, Nicolai Petkov
Trainable COSFIRE filters for vessel delineation with application to retinal images. Medical Image Anal. 19 (1) (2015)
Pasquale Foggia, Nicolai Petkov, Alessia Saggese, Nicola Strisciuglio, Mario Vento
Reliable detection of audio events in highly noisy environments. Pattern Recognit. Lett. 65 (2015)
Pasquale Foggia, Alessia Saggese, Nicola Strisciuglio, Mario Vento, Nicolai Petkov
Car crashes detection by audio analysis in crowded roads. AVSS (2015)
Nicola Strisciuglio, Mario Vento, Nicolai Petkov
Bio-Inspired Filters for Audio Analysis. BrainComp (2015)
Nicola Strisciuglio, George Azzopardi, Mario Vento, Nicolai Petkov
Multiscale Blood Vessel Delineation Using B-COSFIRE Filters. CAIP (2) (2015)
Pasquale Foggia, Alessia Saggese, Nicola Strisciuglio, Mario Vento
Cascade classifiers trained on gammatonegrams for reliably detecting audio events. AVSS (2014)
Pasquale Foggia, Alessia Saggese, Nicola Strisciuglio, Mario Vento
Exploiting the deep learning paradigm for recognizing human actions. AVSS (2014)
Vincenzo Carletti, Pasquale Foggia, Gennaro Percannella, Alessia Saggese, Nicola Strisciuglio, Mario Vento
Audio surveillance using a bag of aural words classifier. AVSS (2013)