Audio surveillance using a bag of aural words classifier. - Vincenzo Carletti; Pasquale Foggia; Gennaro Percannella; Alessia Saggese; Nicola Strisciuglio; Mario Vento (AVSS, 2013)

Cascade classifiers trained on gammatonegrams for reliably detecting audio events. - Pasquale Foggia; Alessia Saggese; Nicola Strisciuglio; Mario Vento (AVSS, 2014)

Exploiting the deep learning paradigm for recognizing human actions. - Pasquale Foggia; Alessia Saggese; Nicola Strisciuglio; Mario Vento (AVSS, 2014)

Car crashes detection by audio analysis in crowded roads. - Pasquale Foggia; Alessia Saggese; Nicola Strisciuglio; Mario Vento; Nicolai Petkov (AVSS, 2015)

Bio-Inspired Filters for Audio Analysis. - Nicola Strisciuglio; Mario Vento; Nicolai Petkov (BrainComp, 2015)

Multiscale Blood Vessel Delineation Using B-COSFIRE Filters. - Nicola Strisciuglio; George Azzopardi; Mario Vento; Nicolai Petkov (CAIP (2), 2015)

Trainable COSFIRE filters for vessel delineation with application to retinal images. - George Azzopardi; Nicola Strisciuglio; Mario Vento; Nicolai Petkov (Medical Image Anal., 2015)

Reliable detection of audio events in highly noisy environments. - Pasquale Foggia; Nicolai Petkov; Alessia Saggese; Nicola Strisciuglio; Mario Vento (Pattern Recognit. Lett., 2015)

Time-frequency analysis for audio event detection in real scenarios. - Alessia Saggese; Nicola Strisciuglio; Mario Vento; Nicolai Petkov (AVSS, 2016)

Supervised vessel delineation in retinal fundus images with the automatic selection of B-COSFIRE filters. - Nicola Strisciuglio; George Azzopardi; Mario Vento; Nicolai Petkov (Mach. Vis. Appl., 2016)

Audio Surveillance of Roads: A System for Detecting Anomalous Sounds. - Pasquale Foggia; Nicolai Petkov; Alessia Saggese; Nicola Strisciuglio; Mario Vento (IEEE Trans. Intell. Transp. Syst., 2016)

A real-time system for audio source localization with cheap sensor device. - Alessia Saggese; Nicola Strisciuglio; Mario Vento; Nicolai Petkov (AVSS, 2017)

Detection of Curved Lines with B-COSFIRE Filters: A Case Study on Crack Delineation. - Nicola Strisciuglio; George Azzopardi; Nicolai Petkov (CAIP (1), 2017)

Sentiment Recognition in Egocentric Photostreams. - Estefanía Talavera; Nicola Strisciuglio; Nicolai Petkov; Petia Radeva (IbPRIA, 2017)

Delineation of line patterns in images using B-COSFIRE filters. - Nicola Strisciuglio; Nicolai Petkov (IWOBI, 2017)

Action recognition by learning pose representations. - Alessia Saggese; Nicola Strisciuglio; Mario Vento; Nicolai Petkov (CoRR, 2017)

Automatic Segmentation of Indoor and Outdoor Scenes from Visual Lifelogging. - Juan Buhagiar; Nicola Strisciuglio; Nicolai Petkov; George Azzopardi (APPIS, 2018)

Brain-Inspired Robust Delineation Operator. - Nicola Strisciuglio; George Azzopardi; Nicolai Petkov (ECCV Workshops (3), 2018)

Camera Localization in Outdoor Garden Environments Using Artificial Landmarks. - Nicola Strisciuglio; Maria Leyva-Vallina; Nicolai Petkov; Rafael Muñoz-Salinas (IWOBI, 2018)

Learning audio and image representations with bio-inspired trainable feature extractors. - Nicola Strisciuglio (CoRR, 2018)

TrimBot2020: an outdoor robot for automatic gardening. - 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 (CoRR, 2018)

Brain-Inspired Algorithms for Processing of Visual Data. - Nicola Strisciuglio; Nicolai Petkov (BrainComp, 2019)

Place Recognition in Gardens by Learning Visual Representations: Data Set and Benchmark Analysis. - Maria Leyva-Vallina; Nicola Strisciuglio; Nicolai Petkov (CAIP (1), 2019)

Trainable COPE Features for Sound Event Detection. - Nicola Strisciuglio; Nicolai Petkov (CIARP, 2019)

Detecting Sounds of Interest in Roads with Deep Networks. - Pasquale Foggia; Alessia Saggese; Nicola Strisciuglio; Mario Vento; Vincenzo Vigilante (ICIAP (2), 2019)

TB-Places: A Data Set for Visual Place Recognition in Garden Environments. - Maria Leyva-Vallina; Nicola Strisciuglio; Manuel Lopez-Antequera; Radim Tylecek; Michael Blaich; Nicolai Petkov (IEEE Access, 2019)

Place and Object Recognition by CNN-Based COSFIRE Filters. - Manuel Lopez-Antequera; Maria Leyva-Vallina; Nicola Strisciuglio; Nicolai Petkov (IEEE Access, 2019)

Learning sound representations using trainable COPE feature extractors. - Nicola Strisciuglio; Mario Vento; Nicolai Petkov (CoRR, 2019)

A Push-Pull Layer Improves Robustness of Convolutional Neural Networks. - Nicola Strisciuglio; Manuel Lopez-Antequera; Nicolai Petkov (CoRR, 2019)

Learning representations of sound using trainable COPE feature extractors. - Nicola Strisciuglio; Mario Vento; Nicolai Petkov (Pattern Recognit., 2019)

Learning skeleton representations for human action recognition. - Alessia Saggese; Nicola Strisciuglio; Mario Vento; Nicolai Petkov (Pattern Recognit. Lett., 2019)

Robust Inhibition-Augmented Operator for Delineation of Curvilinear Structures. - Nicola Strisciuglio; George Azzopardi; Nicolai Petkov (IEEE Trans. Image Process., 2019)

Multi-Objective Optimization for Asynchronous Positioning Systems Based on a Complete Characterization of Ranging Errors in 3D Complex Environments. - Rubén Álvarez; Javier Díez-González; Nicola Strisciuglio; Hilde Pérez 001 (IEEE Access, 2020)

MTStereo 2.0: improved accuracy of stereo depth estimation withMax-trees. - Rafaël Brandt; Nicola Strisciuglio; Nicolai Petkov (CoRR, 2020)

A robust contour detection operator with combined push-pull inhibition and surround suppression. - Damiano Melotti; Kevin Heimbach; Antonio Jose Rodríguez-Sánchez; Nicola Strisciuglio; George Azzopardi (Inf. Sci., 2020)

U-COSFIRE filters for vessel tortuosity quantification with application to automated diagnosis of retinopathy of prematurity. - Sivakumar Ramachandran; Nicola Strisciuglio; Anand Vinekar; Renu John; George Azzopardi (Neural Comput. Appl., 2020)

Enhanced robustness of convolutional networks with a push-pull inhibition layer. - Nicola Strisciuglio; Manuel Lopez-Antequera; Nicolai Petkov (Neural Comput. Appl., 2020)

Efficient binocular stereo correspondence matching with 1-D Max-Trees. - Rafaël Brandt; Nicola Strisciuglio; Nicolai Petkov; Michael H. F. Wilkinson (Pattern Recognit. Lett., 2020)

MTStereo 2.0: Accurate Stereo Depth Estimation via Max-Tree Matching. - Rafaël Brandt; Nicola Strisciuglio; Nicolai Petkov (CAIP (1), 2021)

Deepfake Detection using Capsule Networks and Long Short-Term Memory Networks. - Akul Mehra; Luuk J. Spreeuwers; Nicola Strisciuglio (VISIGRAPP (4: VISAPP), 2021)

Brain-inspired algorithms for processing of visual data. - Nicola Strisciuglio (CoRR, 2021)

Generalized Contrastive Optimization of Siamese Networks for Place Recognition. - Maria Leyva-Vallina; Nicola Strisciuglio; Nicolai Petkov (CoRR, 2021)

Burr detection and classification using RUSTICO and image processing. - Virginia Riego; Lidia Sánchez-González; Laura Fernández-Robles; Alexis Gutiérrez-Fernández; Nicola Strisciuglio (J. Comput. Sci., 2021)

Self-supervised Learning Through Colorization for Microscopy Images. - Vaidehi Pandey; Christoph Brune; Nicola Strisciuglio (ICIAP (2), 2022)

Survey on Automated Short Answer Grading with Deep Learning: from Word Embeddings to Transformers. - Stefan Haller; Adina Aldea; Christin Seifert; Nicola Strisciuglio (CoRR, 2022)

Vision-Based Module for Herding with a Sheepdog Robot. - Virginia Riego-Del Castillo; Lidia Sánchez-González; Adrián Campazas Vega; Nicola Strisciuglio (Sensors, 2022)

Defocus Blur Synthesis and Deblurring via Interpolation and Extrapolation in Latent Space. - Ioana Mazilu; Shunxin Wang; Sven Dummer; Raymond N. J. Veldhuis; Christoph Brune; Nicola Strisciuglio (CAIP (2), 2023)

Data-Efficient Large Scale Place Recognition with Graded Similarity Supervision. - Maria Leyva-Vallina; Nicola Strisciuglio; Nicolai Petkov (CVPR, 2023)

What do neural networks learn in image classification? A frequency shortcut perspective. - Shunxin Wang; Raymond N. J. Veldhuis; Christoph Brune; Nicola Strisciuglio (ICCV, 2023)

DFM-X: Augmentation by Leveraging Prior Knowledge of Shortcut Learning. - Shunxin Wang; Christoph Brune; Raymond N. J. Veldhuis; Nicola Strisciuglio (ICCV (Workshops), 2023)

The Robustness of Computer Vision Models against Common Corruptions: a Survey. - Shunxin Wang; Raymond N. J. Veldhuis; Nicola Strisciuglio (CoRR, 2023)

RSA-INR: Riemannian Shape Autoencoding via 4D Implicit Neural Representations. - Sven Dummer; Nicola Strisciuglio; Christoph Brune (CoRR, 2023)

Benchmarking deep networks for facial emotion recognition in the wild. - Antonio Greco 001; Nicola Strisciuglio; Mario Vento; Vincenzo Vigilante (Multim. Tools Appl., 2023)

Synthetic Data-Based Training of Instance Segmentation: A Robotic Bin-Picking Pipeline for Chicken Fillets. - Marissa Jonker; Wesley Roozing; Nicola Strisciuglio (CASE, 2024)

Fourier-Basis Functions to Bridge Augmentation Gap: Rethinking Frequency Augmentation in Image Classification. - Puru Vaish; Shunxin Wang; Nicola Strisciuglio (CVPR, 2024)

Controllable Privacy in Face Recognition: A Filter-based Approach. - Zohra Rezgui; Nicola Strisciuglio; Raymond N. J. Veldhuis (IJCB, 2024)

PushPull-Net: Inhibition-Driven ResNet Robust to Image Corruptions. - Guru Swaroop Bennabhaktula; Enrique Alegre; Nicola Strisciuglio; George Azzopardi (ICPR (8), 2024)

Regressing Transformers for Data-efficient Visual Place Recognition. - Maria Leyva-Vallina; Nicola Strisciuglio; Nicolai Petkov (ICRA, 2024)

Quantifying White Matter Hyperintensity and Brain Volumes in Heterogeneous Clinical and Low-Field Portable MRI. - 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; et al. (ISBI, 2024)

Enhancing Soft Biometric Face Template Privacy with Mutual Information-Based Image Attacks. - Zohra Rezgui; Nicola Strisciuglio; Raymond N. J. Veldhuis (WACV (Workshops), 2024)

Indoor scene recognition from images under visual corruptions. - Willams de Lima Costa; Raul Ismayilov; Nicola Strisciuglio; Estefania Talavera Martínez (CoRR, 2024)

Optimized network for detecting burr-breakage in images of milling workpieces. - Virginia Riego-Del Castillo; Lidia Sánchez-González; Nicola Strisciuglio (Log. J. IGPL, 2024)

CAST: Clustering self-Attention using Surrogate Tokens for efficient transformers. - Adjorn van Engelenhoven; Nicola Strisciuglio; Estefanía Talavera (Pattern Recognit. Lett., 2024)

RDA-INR: Riemannian Diffeomorphic Autoencoding via Implicit Neural Representations. - Sven Dummer; Nicola Strisciuglio; Christoph Brune (SIAM J. Imaging Sci., 2024)

Gender Privacy Angular Constraints for Face Recognition. - Zohra Rezgui; Nicola Strisciuglio; Raymond N. J. Veldhuis (IEEE Trans. Biom. Behav. Identity Sci., 2024)

Not Only Text: Exploring Compositionality of Visual Representations in Vision-Language Models. - Davide Berasi; Matteo Farina; Massimiliano Mancini; Elisa Ricci 001; Nicola Strisciuglio (CVPR, 2025)

Do ImageNet-trained Models Learn Shortcuts? The Impact of Frequency Shortcuts on Generalization. - Shunxin Wang; Raymond N. J. Veldhuis; Nicola Strisciuglio (CVPR, 2025)

Dynamic Sparse Training versus Dense Training: The Unexpected Winner in Image Corruption Robustness. - Boqian Wu; Qiao Xiao; Shunxin Wang; Nicola Strisciuglio; Mykola Pechenizkiy; Maurice van Keulen; Decebal Constantin Mocanu; Elena Mocanu (ICLR, 2025)

Editorial: Computer vision and AI in real-world applications: robustness, generalization, and engineering. - Alessandro Bruno; Pier Luigi Mazzeo; Nicola Strisciuglio; Barbara Hammer; Mingliang Gao (Frontiers Comput. Sci., 2025)

Multilayer perceptron ensembles in a truly sparse training context. - Peter R. D. van der Wal; Nicola Strisciuglio; George Azzopardi; Decebal Constatin Mocanu (Neural Comput. Appl., 2025)

Visual Grounding in 2D and 3D: A unified perspective and survey. - Keyu Guo; Yongle Huang; Tinglei Jia; Xiangyu Song; Shijie Sun 001; Hongkai Wei; Xian-Feng Han; Shuwen Huang; Nicola Strisciuglio; Shuyan Li (Inf. Fusion, 2026)