Nicolai Petkov

ORCID

Publication Activity (10 Years)

Years Active: 1992-2024
Publications (10 Years): 78

Top Venues

Publications

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)
Maria Leyva-Vallina, Nicola Strisciuglio, Nicolai Petkov
Data-efficient Large Scale Place Recognition with Graded Similarity Supervision. CoRR (2023)
Nicolai Petkov
Keynote Address: Improving Contour Detection by Surround Suppression of Texture. SMAP (2023)
Maria Leyva-Vallina, Nicola Strisciuglio, Nicolai Petkov
Data-Efficient Large Scale Place Recognition with Graded Similarity Supervision. CVPR (2023)
José Luis Matez-Bandera, David Fernández Chaves, José-Raúl Ruiz-Sarmiento, Javier Monroy, Nicolai Petkov, Javier González Jiménez
LTC-Mapping, Enhancing Long-Term Consistency of Object-Oriented Semantic Maps in Robotics. Sensors 22 (14) (2022)
David Fernández Chaves, José-Raúl Ruiz-Sarmiento, Alberto Jaenal, Nicolai Petkov, Javier González Jiménez
[email protected], an ecosystem of virtual environments and tools for realistic indoor robotic simulation. Expert Syst. Appl. 208 (2022)
Ahmad Alsahaf, Nicolai Petkov, Vikram Shenoy, George Azzopardi
A framework for feature selection through boosting. Expert Syst. Appl. 187 (2022)
David Fernández Chaves, José-Raúl Ruiz-Sarmiento, Nicolai Petkov, Javier González Jiménez
, a distributed robotic architecture for semantic mapping in indoor environments. Knowl. Based Syst. 232 (2021)
Maria Leyva-Vallina, Nicola Strisciuglio, Nicolai Petkov
Generalized Contrastive Optimization of Siamese Networks for Place Recognition. CoRR (2021)
David Fernández Chaves, José Luis Matez-Bandera, José-Raúl Ruiz-Sarmiento, Javier Monroy, Nicolai Petkov, Javier González Jiménez
Exploiting Spatio-Temporal Coherence for Video Object Detection in Robotics. CAIP (2) (2021)
Rafaël Brandt, Nicola Strisciuglio, Nicolai Petkov
MTStereo 2.0: Accurate Stereo Depth Estimation via Max-Tree Matching. CAIP (1) (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)
Estefanía Talavera, Carolin Wuerich, Nicolai Petkov, Petia Radeva
Topic modelling for routine discovery from egocentric photo-streams. Pattern Recognit. 104 (2020)
Melpo Pittara, Maria Matsangidou, Kyriakos Stylianides, Nicolai Petkov, Constantinos S. Pattichis
Virtual Reality for Pain Management in Cancer: A Comprehensive Review. IEEE Access 8 (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)
Antonio Greco, Nicolai Petkov, Alessia Saggese, Mario Vento
AReN: A Deep Learning Approach for Sound Event Recognition Using a Brain Inspired Representation. IEEE Trans. Inf. Forensics Secur. 15 (2020)
Estefanía Talavera, Maria Leyva-Vallina, Md. Mostafa Kamal Sarker, Domenec Puig, Nicolai Petkov, Petia Radeva
Hierarchical Approach to Classify Food Scenes in Egocentric Photo-Streams. IEEE J. Biomed. Health Informatics 24 (3) (2020)
Savvas Karatsiolis, Christos N. Schizas, Nicolai Petkov
Modular domain-to-domain translation network. Neural Comput. Appl. 32 (11) (2020)
Manuel Lopez-Antequera, Maria Leyva-Vallina, Nicola Strisciuglio, Nicolai Petkov
Place and Object Recognition by CNN-Based COSFIRE Filters. IEEE Access 7 (2019)
Estefanía Talavera, Petia Radeva, Nicolai Petkov
Towards Emotion Retrieval in Egocentric PhotoStream. CoRR (2019)
Estefanía Talavera, Alexandre Cola, Nicolai Petkov, Petia Radeva
Towards Egocentric Person Re-identification and Social Pattern Analysis. CoRR (2019)
Jiapan Guo, George Azzopardi, Chenyu Shi, Nomdo M. Jansonius, Nicolai Petkov
Automatic Determination of Vertical Cup-to-Disc Ratio in Retinal Fundus Images for Glaucoma Screening. IEEE Access 7 (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)
Estefanía Talavera, Nicolai Petkov, Petia Radeva
Unsupervised Routine Discovery in Egocentric Photo-Streams. CAIP (1) (2019)
Chenyu Shi, Joost M. Meijer, Jiapan Guo, George Azzopardi, Gilles F. H. Diercksr, Enno Schmidt, Detlef Zillikens, Marcel F. Jonkman, Nicolai Petkov
-serrated patterns in direct immunofluorescence images of autoimmune bullous diseases by inhibition-augmented COSFIRE filters. Int. J. Medical Informatics 122 (2019)
Eirini C. Schiza, Theodoros C. Kyprianou, Nicolai Petkov, Christos N. Schizas
Proposal for an eHealth Based Ecosystem Serving National Healthcare. IEEE J. Biomed. Health Informatics 23 (3) (2019)
Maria Leyva-Vallina, Nicola Strisciuglio, Nicolai Petkov
Place Recognition in Gardens by Learning Visual Representations: Data Set and Benchmark Analysis. CAIP (1) (2019)
Ángel Manuel Guerrero Higueras, Lidia Sánchez-González, Miguel Ángel Conde, Francisco J. Rodríguez Lera, Manuel Castejón Limas, Nicolai Petkov
Facilitating the learning process in parallel computing by using instant messaging. TEEM (2019)
David Chaves, José-Raúl Ruiz-Sarmiento, Nicolai Petkov, Javier González Jiménez
Integration of CNN into a Robotic Architecture to Build Semantic Maps of Indoor Environments. IWANN (2) (2019)
Estefanía Talavera, Nicolai Petkov, Petia Radeva
Towards Unsupervised Familiar Scene Recognition in Egocentric Videos. CoRR (2019)
Nicola Strisciuglio, George Azzopardi, Nicolai Petkov
Robust Inhibition-Augmented Operator for Delineation of Curvilinear Structures. IEEE Trans. Image Process. 28 (12) (2019)
Ahmad Alsahaf, George Azzopardi, Bart Ducro, Egiel Hanenberg, Roel F. Veerkamp, Nicolai Petkov
Estimation of Muscle Scores of Live Pigs Using a Kinect Camera. IEEE Access 7 (2019)
Estefanía Talavera, Maria Leyva-Vallina, Md. Mostafa Kamal Sarker, Domenec Puig, Nicolai Petkov, Petia Radeva
Hierarchical approach to classify food scenes in egocentric photo-streams. CoRR (2019)
Nicola Strisciuglio, Mario Vento, Nicolai Petkov
Learning representations of sound using trainable COPE feature extractors. Pattern Recognit. 92 (2019)
Mohammad Mohammadi, Nicolai Petkov, Kerstin Bunte, Reynier F. Peletier, Frank-Michael Schleif
Globular cluster detection in the GAIA survey. Neurocomputing 342 (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)
Estefanía Talavera, Nicolai Petkov, Petia Radeva
Unsupervised routine discovery in egocentric photo-streams. 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)
Estefanía Talavera, Alexandre Cola, Nicolai Petkov, Petia Radeva
Towards Egocentric Person Re-Identification and Social Pattern Analysis. APPIS (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)
Savvas Karatsiolis, Christos N. Schizas, Nicolai Petkov
Modular Domain-to-Domain Translation Network. ICANN (3) (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)
Mohammad Mohammadi, Nicolai Petkov, Reynier F. Peletier, Pedro Bibiloni, Kerstin Bunte
Detection of Globular Clusters in the Halo of Milky Way. APPIS (2018)
Mohammad Mohammadi, Reynier Peletier, Frank-Michael Schleif, Nicolai Petkov, Kerstin Bunte
Globular Cluster Detection in the Gaia Survey. ESANN (2018)
Nicola Strisciuglio, Maria Leyva-Vallina, Nicolai Petkov, Rafael Muñoz-Salinas
Camera Localization in Outdoor Garden Environments Using Artificial Landmarks. IWOBI (2018)
Ahmad Alsahaf, George Azzopardi, Bart Ducro, Roel F. Veerkamp, Nicolai Petkov
Predicting Slaughter Weight in Pigs with Regression Tree Ensembles. APPIS (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)
Manuel Lopez-Antequera, Javier González Jiménez, Nicolai Petkov
Evaluation of Whole-Image Descriptors for Metric Localization. EUROCAST (2) (2017)
Alessia Saggese, Nicola Strisciuglio, Mario Vento, Nicolai Petkov
Action recognition by learning pose representations. CoRR (2017)
Jiapan Guo, Chenyu Shi, George Azzopardi, Nicolai Petkov
Inhibition-augmented COSFIRE model of shape-selective neurons. IBM J. Res. Dev. 61 (2/3) (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, Petia Radeva, Nicolai Petkov
Towards Egocentric Sentiment Analysis. EUROCAST (2) (2017)
Manuel Lopez-Antequera, Nicolai Petkov, Javier González Jiménez
City-scale continuous visual localization. ECMR (2017)
Andreas C. Neocleous, Costas Neocleous, Christos N. Schizas, Michael Biehl, Nicolai Petkov
Marker selection for the detection of trisomy 21 using generalized matrix learning vector quantization. IJCNN (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)
Baris Gecer, George Azzopardi, Nicolai Petkov
Color-blob-based COSFIRE filters for object recognition. Image Vis. Comput. 57 (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)
Manuel Lopez-Antequera, Ruben Gomez-Ojeda, Nicolai Petkov, Javier González Jiménez
Appearance-invariant place recognition by discriminatively training a convolutional neural network. Pattern Recognit. Lett. 92 (2017)
Frank-Michael Schleif, Barbara Hammer, Javier Gonzalez Monroy, Javier González Jiménez, José-Luis Blanco-Claraco, Michael Biehl, Nicolai Petkov
Odor recognition in robotics applications by discriminative time-series modeling. Pattern Anal. Appl. 19 (1) (2016)
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)
George Azzopardi, Nicolai Petkov
Special issue on selected papers from CAIP 2015. 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)
Ando Celino Emerencia, Lian van der Krieke, Elisabeth H. Bos, Peter de Jonge, Nicolai Petkov, Marco Aiello
Automating Vector Autoregression on Electronic Patient Diary Data. IEEE J. Biomed. Health Informatics 20 (2) (2016)
Alessia Saggese, Nicola Strisciuglio, Mario Vento, Nicolai Petkov
Time-frequency analysis for audio event detection in real scenarios. AVSS (2016)
Manuel Lopez-Antequera, Nicolai Petkov, Javier González Jiménez
Image-based localization using Gaussian Processes. IPIN (2016)
Jiapan Guo, Chenyu Shi, George Azzopardi, Nicolai Petkov
Inhibition-augmented trainable COSFIRE filters for keypoint detection and object recognition. Mach. Vis. Appl. 27 (8) (2016)
George Azzopardi, Laura Fernández-Robles, Enrique Alegre, Nicolai Petkov
Increased generalization capability of trainable COSFIRE filters with application to machine vision. ICPR (2016)
Laura Fernández-Robles, George Azzopardi, Enrique Alegre, Nicolai Petkov
Cutting Edge Localisation in an Edge Profile Milling Head. CAIP (2) (2015)
Andreas C. Neocleous, George Azzopardi, Christos N. Schizas, Nicolai Petkov
Filter-Based Approach for Ornamentation Detection and Recognition in Singing Folk Music. CAIP (1) (2015)
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)
Jiapan Guo, Chenyu Shi, George Azzopardi, Nicolai Petkov
Recognition of Architectural and Electrical Symbols by COSFIRE Filters with Inhibition. CAIP (2) (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)
Eirini C. Schiza, George Panos, Christiana David, Nicolai Petkov, Christos N. Schizas
Integrated Electronic Health Record Database Management System: A Proposal. ICIMTH (2015)
Ruben Gomez-Ojeda, Manuel Lopez-Antequera, Nicolai Petkov, Javier González Jiménez
Training a Convolutional Neural Network for Appearance-Invariant Place Recognition. CoRR (2015)
Chenyu Shi, Jiapan Guo, George Azzopardi, Joost M. Meijer, Marcel F. Jonkman, Nicolai Petkov
Automatic Differentiation of u- and n-serrated Patterns in Direct Immunofluorescence Images. CAIP (1) (2015)
Pasquale Foggia, Alessia Saggese, Nicola Strisciuglio, Mario Vento, Nicolai Petkov
Car crashes detection by audio analysis in crowded roads. AVSS (2015)
Ioannis Giotis, Nynke Molders, Sander Land, Michael Biehl, Marcel F. Jonkman, Nicolai Petkov
MED-NODE: A computer-assisted melanoma diagnosis system using non-dermoscopic images. Expert Syst. Appl. 42 (19) (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)
George Azzopardi, Nicolai Petkov
Ventral-stream-like shape representation: from pixel intensity values to trainable object-selective COSFIRE models. Frontiers Comput. Neurosci. 8 (2014)
Zhe Sun, Marco A. Wiering, Nicolai Petkov
Classification system for mortgage arrear management. CIFEr (2014)
Ioannis Giotis, Kerstin Bunte, Nicolai Petkov, Michael Biehl
Erratum to: Adaptive Matrices and Filters for Color Texture Classification. J. Math. Imaging Vis. 48 (1) (2014)
Andreas C. Neocleous, Nicolai Petkov, Christos N. Schizas
Automated Segmentation of Folk Songs Using Artificial Neural Networks. IJCCI (NCTA) (2014)
Enrique Alegre, Michael Biehl, Nicolai Petkov, Lidia Sánchez
Assessment of acrosome state in boar spermatozoa heads using n-contours descriptor and RLVQ. Comput. Methods Programs Biomed. 111 (3) (2013)
Ando Emerencia, Lian van der Krieke, Sjoerd Sytema, Nicolai Petkov, Marco Aiello
Generating personalized advice for schizophrenia patients. Artif. Intell. Medicine 58 (1) (2013)
George Azzopardi, Nicolai Petkov
Automatic detection of vascular bifurcations in segmented retinal images using trainable COSFIRE filters. Pattern Recognit. Lett. 34 (8) (2013)
George Azzopardi, Nicolai Petkov
COSFIRE: A Brain-Inspired Approach to Visual Pattern Recognition. BrainComp (2013)
Ioannis Giotis, Kerstin Bunte, Nicolai Petkov, Michael Biehl
Adaptive Matrices and Filters for Color Texture Classification. J. Math. Imaging Vis. 47 (1-2) (2013)
George Azzopardi, Nicolai Petkov
A Shape Descriptor Based on Trainable COSFIRE Filters for the Recognition of Handwritten Digits. CAIP (2) (2013)

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Publication Activity (10 Years)

Top Topics

Top Venues

Nicolai Petkov