| 2026 | ICPR | BEAM: Exact Benchmarking of Explainable AI Attribution Methods. | Rafal Brandt, Nicola Strisciuglio, Daan Raatjes, Georgi Gaydadjiev |
| 2025 | CAIP | Vision on the Move: Automated Hazardous Material Plate Detection in Freight Transport. | Melissa Tijink, Stanislav Levendeev, Ewaldo Nieuwenhuis, Luuk J. Spreeuwers, Nicola Strisciuglio, Estefana Talavera |
| 2025 | CVPR | Not Only Text: Exploring Compositionality of Visual Representations in Vision-Language Models. | Davide Berasi, Matteo Farina, Massimiliano Mancini, Elisa Ricci, Nicola Strisciuglio |
| 2025 | CVPR | Do ImageNet-trained Models Learn Shortcuts? The Impact of Frequency Shortcuts on Generalization. | Shunxin Wang, Raymond N. J. Veldhuis, Nicola Strisciuglio |
| 2025 | ICLR | 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 |
| 2024 | CVPR | Fourier-Basis Functions to Bridge Augmentation Gap: Rethinking Frequency Augmentation in Image Classification. | Puru Vaish, Shunxin Wang, Nicola Strisciuglio |
| 2024 | ICPR | PushPull-Net: Inhibition-Driven ResNet Robust to Image Corruptions. | Guru Swaroop Bennabhaktula, Enrique Alegre, Nicola Strisciuglio, George Azzopardi |
| 2024 | ICRA | Regressing Transformers for Data-efficient Visual Place Recognition. | Maria Leyva-Vallina, Nicola Strisciuglio, Nicolai Petkov |
| 2024 | WACV | Enhancing Soft Biometric Face Template Privacy with Mutual Information-Based Image Attacks. | Zohra Rezgui, Nicola Strisciuglio, Raymond N. J. Veldhuis |
| 2023 | CAIP | 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 |
| 2023 | CVPR | Data-Efficient Large Scale Place Recognition with Graded Similarity Supervision. | Maria Leyva-Vallina, Nicola Strisciuglio, Nicolai Petkov |
| 2023 | ICCV | What do neural networks learn in image classification? A frequency shortcut perspective. | Shunxin Wang, Raymond N. J. Veldhuis, Christoph Brune, Nicola Strisciuglio |
| 2022 | ICIAP | Self-supervised Learning Through Colorization for Microscopy Images. | Vaidehi Pandey, Christoph Brune, Nicola Strisciuglio |
| 2021 | CAIP | MTStereo 2.0: Accurate Stereo Depth Estimation via Max-Tree Matching. | Rafal Brandt, Nicola Strisciuglio, Nicolai Petkov |
| 2019 | CAIP | Place Recognition in Gardens by Learning Visual Representations: Data Set and Benchmark Analysis. | Maria Leyva-Vallina, Nicola Strisciuglio, Nicolai Petkov |
| 2019 | CIARP | Trainable COPE Features for Sound Event Detection. | Nicola Strisciuglio, Nicolai Petkov |
| 2019 | ICIAP | Detecting Sounds of Interest in Roads with Deep Networks. | Pasquale Foggia, Alessia Saggese, Nicola Strisciuglio, Mario Vento, Vincenzo Vigilante |
| 2018 | ECCV | Brain-Inspired Robust Delineation Operator. | Nicola Strisciuglio, George Azzopardi, Nicolai Petkov |
| 2017 | AVSS | A real-time system for audio source localization with cheap sensor device. | Alessia Saggese, Nicola Strisciuglio, Mario Vento, Nicolai Petkov |
| 2017 | CAIP | Detection of Curved Lines with B-COSFIRE Filters: A Case Study on Crack Delineation. | Nicola Strisciuglio, George Azzopardi, Nicolai Petkov |
| 2017 | IBPRIA | Sentiment Recognition in Egocentric Photostreams. | Estefana Talavera, Nicola Strisciuglio, Nicolai Petkov, Petia Radeva |
| 2016 | AVSS | Time-frequency analysis for audio event detection in real scenarios. | Alessia Saggese, Nicola Strisciuglio, Mario Vento, Nicolai Petkov |
| 2015 | AVSS | Car crashes detection by audio analysis in crowded roads. | Pasquale Foggia, Alessia Saggese, Nicola Strisciuglio, Mario Vento, Nicolai Petkov |
| 2015 | CAIP | Multiscale Blood Vessel Delineation Using B-COSFIRE Filters. | Nicola Strisciuglio, George Azzopardi, Mario Vento, Nicolai Petkov |
| 2014 | AVSS | Cascade classifiers trained on gammatonegrams for reliably detecting audio events. | Pasquale Foggia, Alessia Saggese, Nicola Strisciuglio, Mario Vento |
| 2014 | AVSS | Exploiting the deep learning paradigm for recognizing human actions. | Pasquale Foggia, Alessia Saggese, Nicola Strisciuglio, Mario Vento |
| 2013 | AVSS | Audio surveillance using a bag of aural words classifier. | Vincenzo Carletti, Pasquale Foggia, Gennaro Percannella, Alessia Saggese, Nicola Strisciuglio, Mario Vento |