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ORCIDNicola Strisciuglio
Person information
- affiliation: University of Groningen, The Netherlands
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2020 – today
- 2023
[j17]Antonio Greco
, Nicola Strisciuglio, Mario Vento, Vincenzo Vigilante:
Benchmarking deep networks for facial emotion recognition in the wild. Multim. Tools Appl. 82(8): 11189-11220 (2023)- [i17]Maria Leyva-Vallina, Nicola Strisciuglio, Nicolai Petkov:
Data-efficient Large Scale Place Recognition with Graded Similarity Supervision. CoRR abs/2303.11739 (2023) - [i16]Shunxin Wang, Raymond N. J. Veldhuis, Nicola Strisciuglio:
The Robustness of Computer Vision Models against Common Corruptions: a Survey. CoRR abs/2305.06024 (2023) - [i15]Sven Dummer, Nicola Strisciuglio, Christoph Brune:
RSA-INR: Riemannian Shape Autoencoding via 4D Implicit Neural Representations. CoRR abs/2305.12854 (2023) - 2022
- [j16]Virginia Riego-Del Castillo, Lidia Sánchez-González, Adrián Campazas Vega, Nicola Strisciuglio:
Vision-Based Module for Herding with a Sheepdog Robot. Sensors 22(14): 5321 (2022) - [c21]Vaidehi Pandey, Christoph Brune, Nicola Strisciuglio:
Self-supervised Learning Through Colorization for Microscopy Images. ICIAP (2) 2022: 621-632 - [i14]Stefan Haller, Adina Aldea, Christin Seifert, Nicola Strisciuglio:
Survey on Automated Short Answer Grading with Deep Learning: from Word Embeddings to Transformers. CoRR abs/2204.03503 (2022) - 2021
- [j15]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: 101485 (2021) - [c20]Rafaël Brandt, Nicola Strisciuglio, Nicolai Petkov:
MTStereo 2.0: Accurate Stereo Depth Estimation via Max-Tree Matching. CAIP (1) 2021: 110-119 - [c19]Akul Mehra, Luuk J. Spreeuwers, Nicola Strisciuglio:
Deepfake Detection using Capsule Networks and Long Short-Term Memory Networks. VISIGRAPP (4: VISAPP) 2021: 407-414 - [i13]Nicola Strisciuglio:
Brain-inspired algorithms for processing of visual data. CoRR abs/2103.01634 (2021) - [i12]Maria Leyva-Vallina, Nicola Strisciuglio, Nicolai Petkov:
Generalized Contrastive Optimization of Siamese Networks for Place Recognition. CoRR abs/2103.06638 (2021) - 2020
- [j14]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: 43046-43056 (2020) - [j13]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: 229-240 (2020) - [j12]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): 12453-12468 (2020) - [j11]Nicola Strisciuglio, Manuel Lopez-Antequera, Nicolai Petkov:
Enhanced robustness of convolutional networks with a push-pull inhibition layer. Neural Comput. Appl. 32(24): 17957-17971 (2020) - [j10]Rafaël Brandt, Nicola Strisciuglio, Nicolai Petkov, Michael H. F. Wilkinson:
Efficient binocular stereo correspondence matching with 1-D Max-Trees. Pattern Recognit. Lett. 135: 402-408 (2020) - [e3]Nicolai Petkov, Nicola Strisciuglio, Carlos M. Travieso-González:
APPIS 2020: 3rd International Conference on Applications of Intelligent Systems, APPIS 2020, Las Palmas de Gran Canaria Spain, 7-9 January 2020. ACM 2020, ISBN 978-1-4503-7630-3 [contents] - [i11]Rafaël Brandt, Nicola Strisciuglio, Nicolai Petkov:
MTStereo 2.0: improved accuracy of stereo depth estimation withMax-trees. CoRR abs/2006.15373 (2020)
2010 – 2019
- 2019
- [j9]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: 52277-52287 (2019) - [j8]Manuel Lopez-Antequera, Maria Leyva-Vallina, Nicola Strisciuglio, Nicolai Petkov:
Place and Object Recognition by CNN-Based COSFIRE Filters. IEEE Access 7: 66157-66166 (2019) - [j7]Nicola Strisciuglio, Mario Vento, Nicolai Petkov:
Learning representations of sound using trainable COPE feature extractors. Pattern Recognit. 92: 25-36 (2019) - [j6]Alessia Saggese, Nicola Strisciuglio, Mario Vento, Nicolai Petkov:
Learning skeleton representations for human action recognition. Pattern Recognit. Lett. 118: 23-31 (2019) - [j5]Nicola Strisciuglio, George Azzopardi, Nicolai Petkov:
Robust Inhibition-Augmented Operator for Delineation of Curvilinear Structures. IEEE Trans. Image Process. 28(12): 5852-5866 (2019) - [c18]Nicola Strisciuglio, Nicolai Petkov:
Brain-Inspired Algorithms for Processing of Visual Data. BrainComp 2019: 105-115 - [c17]Maria Leyva-Vallina, Nicola Strisciuglio, Nicolai Petkov:
Place Recognition in Gardens by Learning Visual Representations: Data Set and Benchmark Analysis. CAIP (1) 2019: 324-335 - [c16]Nicola Strisciuglio, Nicolai Petkov:
Trainable COPE Features for Sound Event Detection. CIARP 2019: 599-609 - [c15]Pasquale Foggia, Alessia Saggese, Nicola Strisciuglio, Mario Vento, Vincenzo Vigilante:
Detecting Sounds of Interest in Roads with Deep Networks. ICIAP (2) 2019: 583-592 - [e2]Nicolai Petkov, Nicola Strisciuglio, Carlos M. Travieso:
Proceedings of the 2nd International Conference on Applications of Intelligent Systems, APPIS 2019, Las Palmas de Gran Canaria, Spain, January 07-09, 2019. ACM 2019, ISBN 978-1-4503-6085-2 [contents] - [i10]Nicola Strisciuglio, Mario Vento, Nicolai Petkov:
Learning sound representations using trainable COPE feature extractors. CoRR abs/1901.06904 (2019) - [i9]Nicola Strisciuglio, Manuel Lopez-Antequera, Nicolai Petkov:
A Push-Pull Layer Improves Robustness of Convolutional Neural Networks. CoRR abs/1901.10208 (2019) - [i8]Maria Leyva-Vallina, Nicola Strisciuglio, Nicolai Petkov:
Place recognition in gardens by learning visual representations: data set and benchmark analysis. CoRR abs/1906.12151 (2019) - 2018
- [c14]Juan Buhagiar, Nicola Strisciuglio, Nicolai Petkov, George Azzopardi:
Automatic Segmentation of Indoor and Outdoor Scenes from Visual Lifelogging. APPIS 2018: 194-202 - [c13]Nicola Strisciuglio, George Azzopardi, Nicolai Petkov:
Brain-Inspired Robust Delineation Operator. ECCV Workshops (3) 2018: 555-565 - [c12]Nicola Strisciuglio, Maria Leyva-Vallina, Nicolai Petkov, Rafael Muñoz-Salinas:
Camera Localization in Outdoor Garden Environments Using Artificial Landmarks. IWOBI 2018: 1-6 - [e1]Nicolai Petkov, Nicola Strisciuglio, Carlos Manuel Travieso-González:
Applications of Intelligent Systems - Proceedings of the 1st International APPIS Conference 2018, Las Palmas de Gran Canaria, Spain, 8-12 January 2018. Frontiers in Artificial Intelligence and Applications 310, IOS Press 2018, ISBN 978-1-61499-928-7 [contents] - [i7]Nicola Strisciuglio:
Learning audio and image representations with bio-inspired trainable feature extractors. CoRR abs/1801.00688 (2018) - [i6]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 abs/1804.01792 (2018) - [i5]Nicola Strisciuglio, George Azzopardi, Nicolai Petkov:
Brain-inspired robust delineation operator. CoRR abs/1811.10240 (2018) - 2017
- [c11]Alessia Saggese, Nicola Strisciuglio, Mario Vento, Nicolai Petkov:
A real-time system for audio source localization with cheap sensor device. AVSS 2017: 1-7 - [c10]Nicola Strisciuglio, George Azzopardi, Nicolai Petkov:
Detection of Curved Lines with B-COSFIRE Filters: A Case Study on Crack Delineation. CAIP (1) 2017: 108-120 - [c9]Estefanía Talavera, Nicola Strisciuglio, Nicolai Petkov, Petia Radeva:
Sentiment Recognition in Egocentric Photostreams. IbPRIA 2017: 471-479 - [c8]Nicola Strisciuglio, Nicolai Petkov:
Delineation of line patterns in images using B-COSFIRE filters. IWOBI 2017: 1-6 - [i4]Estefanía Talavera, Nicola Strisciuglio, Nicolai Petkov, Petia Radeva:
Sentiment Recognition in Egocentric Photostreams. CoRR abs/1703.09933 (2017) - [i3]Nicola Strisciuglio, Nicolai Petkov:
Delineation of line patterns in images using B-COSFIRE filters. CoRR abs/1707.07438 (2017) - [i2]Nicola Strisciuglio, George Azzopardi, Nicolai Petkov:
Detection of curved lines with B-COSFIRE filters: A case study on crack delineation. CoRR abs/1707.07747 (2017) - [i1]Alessia Saggese, Nicola Strisciuglio, Mario Vento, Nicolai Petkov:
Action recognition by learning pose representations. CoRR abs/1708.00672 (2017) - 2016
- [j4]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): 1137-1149 (2016) - [j3]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): 279-288 (2016) - [c7]Alessia Saggese, Nicola Strisciuglio, Mario Vento, Nicolai Petkov:
Time-frequency analysis for audio event detection in real scenarios. AVSS 2016: 438-443 - 2015
- [j2]George Azzopardi, Nicola Strisciuglio, Mario Vento, Nicolai Petkov:
Trainable COSFIRE filters for vessel delineation with application to retinal images. Medical Image Anal. 19(1): 46-57 (2015) - [j1]Pasquale Foggia, Nicolai Petkov, Alessia Saggese, Nicola Strisciuglio, Mario Vento:
Reliable detection of audio events in highly noisy environments. Pattern Recognit. Lett. 65: 22-28 (2015) - [c6]Pasquale Foggia, Alessia Saggese, Nicola Strisciuglio, Mario Vento, Nicolai Petkov:
Car crashes detection by audio analysis in crowded roads. AVSS 2015: 1-6 - [c5]Nicola Strisciuglio, Mario Vento, Nicolai Petkov:
Bio-Inspired Filters for Audio Analysis. BrainComp 2015: 101-115 - [c4]Nicola Strisciuglio, George Azzopardi, Mario Vento, Nicolai Petkov:
Multiscale Blood Vessel Delineation Using B-COSFIRE Filters. CAIP (2) 2015: 300-312 - 2014
- [c3]Pasquale Foggia, Alessia Saggese, Nicola Strisciuglio, Mario Vento:
Cascade classifiers trained on gammatonegrams for reliably detecting audio events. AVSS 2014: 50-55 - [c2]Pasquale Foggia, Alessia Saggese, Nicola Strisciuglio, Mario Vento:
Exploiting the deep learning paradigm for recognizing human actions. AVSS 2014: 93-98 - 2013
- [c1]Vincenzo Carletti, Pasquale Foggia, Gennaro Percannella, Alessia Saggese, Nicola Strisciuglio, Mario Vento:
Audio surveillance using a bag of aural words classifier. AVSS 2013: 81-86
Coauthor Index
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last updated on 2023-05-25 21:17 CEST by the dblp team
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