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ORCIDNicolai Petkov
Nikolai Petkov
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- affiliation: University of Groningen, Netherlands
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2020 – today
- 2024
[c85]Maria Leyva-Vallina, Nicola Strisciuglio, Nicolai Petkov:
Regressing Transformers for Data-efficient Visual Place Recognition. ICRA 2024: 15898-15904- [i20]Maria Leyva-Vallina, Nicola Strisciuglio, Nicolai Petkov:
Regressing Transformers for Data-efficient Visual Place Recognition. CoRR abs/2401.16304 (2024) - 2023
- [c84]Maria Leyva-Vallina, Nicola Strisciuglio, Nicolai Petkov:
Data-Efficient Large Scale Place Recognition with Graded Similarity Supervision. CVPR 2023: 23487-23496 - [c83]Nicolai Petkov:
Keynote Address: Improving Contour Detection by Surround Suppression of Texture. SMAP 2023: 1 - [i19]Maria Leyva-Vallina, Nicola Strisciuglio, Nicolai Petkov:
Data-efficient Large Scale Place Recognition with Graded Similarity Supervision. CoRR abs/2303.11739 (2023) - 2022
- [j68]Ahmad Alsahaf, Nicolai Petkov, Vikram Shenoy, George Azzopardi
:
A framework for feature selection through boosting. Expert Syst. Appl. 187: 115895 (2022) - [j67]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: 117970 (2022) - [j66]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): 5308 (2022) - 2021
- [j65]David Fernández Chaves, José-Raúl Ruiz-Sarmiento, Nicolai Petkov, Javier González Jiménez:
ViMantic, a distributed robotic architecture for semantic mapping in indoor environments. Knowl. Based Syst. 232: 107440 (2021) - [c82]Rafaël Brandt, Nicola Strisciuglio, Nicolai Petkov:
MTStereo 2.0: Accurate Stereo Depth Estimation via Max-Tree Matching. CAIP (1) 2021: 110-119 - [c81]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: 186-196 - [e11]Katrin Amunts, Lucio Grandinetti, Thomas Lippert, Nicolai Petkov:
Brain-Inspired Computing - 4th International Workshop, BrainComp 2019, Cetraro, Italy, July 15-19, 2019, Revised Selected Papers. Lecture Notes in Computer Science 12339, Springer 2021, ISBN 978-3-030-82426-6 [contents] - [i18]Maria Leyva-Vallina, Nicola Strisciuglio, Nicolai Petkov:
Generalized Contrastive Optimization of Siamese Networks for Place Recognition. CoRR abs/2103.06638 (2021) - 2020
- [j64]Melpo Pittara, Maria Matsangidou, Kyriakos Stylianides, Nicolai Petkov, Constantinos S. Pattichis:
Virtual Reality for Pain Management in Cancer: A Comprehensive Review. IEEE Access 8: 225475-225489 (2020) - [j63]Savvas Karatsiolis, Christos N. Schizas, Nicolai Petkov:
Modular domain-to-domain translation network. Neural Comput. Appl. 32(11): 6779-6791 (2020) - [j62]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) - [j61]Estefanía Talavera, Carolin Wuerich, Nicolai Petkov, Petia Radeva:
Topic modelling for routine discovery from egocentric photo-streams. Pattern Recognit. 104: 107330 (2020) - [j60]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) - [j59]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: 3610-3624 (2020) - [j58]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): 866-877 (2020) - [e10]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] - [i17]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
- [j57]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: 8527-8541 (2019) - [j56]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: 52238-52245 (2019) - [j55]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) - [j54]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) - [j53]Chenyu Shi, Joost M. Meijer, Jiapan Guo, George Azzopardi, Gilles F. H. Diercksr, Enno Schmidt, Detlef Zillikens, Marcel F. Jonkman, Nicolai Petkov:
Detection of u-serrated patterns in direct immunofluorescence images of autoimmune bullous diseases by inhibition-augmented COSFIRE filters. Int. J. Medical Informatics 122: 27-36 (2019) - [j52]Mohammad Mohammadi, Nicolai Petkov, Kerstin Bunte, Reynier F. Peletier, Frank-Michael Schleif:
Globular cluster detection in the GAIA survey. Neurocomputing 342: 164-171 (2019) - [j51]Nicola Strisciuglio, Mario Vento, Nicolai Petkov:
Learning representations of sound using trainable COPE feature extractors. Pattern Recognit. 92: 25-36 (2019) - [j50]Alessia Saggese, Nicola Strisciuglio, Mario Vento, Nicolai Petkov:
Learning skeleton representations for human action recognition. Pattern Recognit. Lett. 118: 23-31 (2019) - [j49]Nicola Strisciuglio, George Azzopardi, Nicolai Petkov:
Robust Inhibition-Augmented Operator for Delineation of Curvilinear Structures. IEEE Trans. Image Process. 28(12): 5852-5866 (2019) - [j48]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): 1346-1357 (2019) - [c80]Nicola Strisciuglio, Nicolai Petkov:
Brain-Inspired Algorithms for Processing of Visual Data. BrainComp 2019: 105-115 - [c79]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 - [c78]Estefanía Talavera, Nicolai Petkov, Petia Radeva:
Unsupervised Routine Discovery in Egocentric Photo-Streams. CAIP (1) 2019: 576-588 - [c77]Nicola Strisciuglio, Nicolai Petkov:
Trainable COPE Features for Sound Event Detection. CIARP 2019: 599-609 - [c76]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: 313-324 - [c75]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: 558-563 - [e9]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] - [i16]Nicola Strisciuglio, Mario Vento, Nicolai Petkov:
Learning sound representations using trainable COPE feature extractors. CoRR abs/1901.06904 (2019) - [i15]Nicola Strisciuglio, Manuel Lopez-Antequera, Nicolai Petkov:
A Push-Pull Layer Improves Robustness of Convolutional Neural Networks. CoRR abs/1901.10208 (2019) - [i14]Estefanía Talavera, Alexandre Cola, Nicolai Petkov, Petia Radeva:
Towards Egocentric Person Re-identification and Social Pattern Analysis. CoRR abs/1905.04073 (2019) - [i13]Estefanía Talavera, Nicolai Petkov, Petia Radeva:
Unsupervised routine discovery in egocentric photo-streams. CoRR abs/1905.04076 (2019) - [i12]Estefanía Talavera, Nicolai Petkov, Petia Radeva:
Towards Unsupervised Familiar Scene Recognition in Egocentric Videos. CoRR abs/1905.04093 (2019) - [i11]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 abs/1905.04097 (2019) - [i10]Estefanía Talavera, Petia Radeva, Nicolai Petkov:
Towards Emotion Retrieval in Egocentric PhotoStream. CoRR abs/1905.04107 (2019) - [i9]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
- [c74]Ahmad Alsahaf, George Azzopardi, Bart Ducro, Roel F. Veerkamp, Nicolai Petkov:
Predicting Slaughter Weight in Pigs with Regression Tree Ensembles. APPIS 2018: 1-9 - [c73]Mohammad Mohammadi, Nicolai Petkov, Reynier F. Peletier, Pedro Bibiloni, Kerstin Bunte:
Detection of Globular Clusters in the Halo of Milky Way. APPIS 2018: 70-78 - [c72]Juan Buhagiar, Nicola Strisciuglio, Nicolai Petkov, George Azzopardi:
Automatic Segmentation of Indoor and Outdoor Scenes from Visual Lifelogging. APPIS 2018: 194-202 - [c71]Estefanía Talavera, Alexandre Cola, Nicolai Petkov, Petia Radeva:
Towards Egocentric Person Re-Identification and Social Pattern Analysis. APPIS 2018: 203-211 - [c70]Nicola Strisciuglio, George Azzopardi, Nicolai Petkov:
Brain-Inspired Robust Delineation Operator. ECCV Workshops (3) 2018: 555-565 - [c69]Mohammad Mohammadi, Reynier Peletier, Frank-Michael Schleif, Nicolai Petkov, Kerstin Bunte:
Globular Cluster Detection in the Gaia Survey. ESANN 2018 - [c68]Savvas Karatsiolis, Christos N. Schizas, Nicolai Petkov:
Modular Domain-to-Domain Translation Network. ICANN (3) 2018: 425-435 - [c67]Nicola Strisciuglio, Maria Leyva-Vallina, Nicolai Petkov, Rafael Muñoz-Salinas:
Camera Localization in Outdoor Garden Environments Using Artificial Landmarks. IWOBI 2018: 1-6 - [e8]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] - [e7]Leszek J. Chmielewski, Ryszard Kozera, Arkadiusz Orlowski, Konrad Wojciechowski, Alfred M. Bruckstein, Nicolai Petkov:
Computer Vision and Graphics - International Conference, ICCVG 2018, Warsaw, Poland, September 17-19, 2018, Proceedings. Lecture Notes in Computer Science 11114, Springer 2018, ISBN 978-3-030-00691-4 [contents] - [i8]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) - [i7]Nicola Strisciuglio, George Azzopardi, Nicolai Petkov:
Brain-inspired robust delineation operator. CoRR abs/1811.10240 (2018) - 2017
- [j47]Jiapan Guo, Chenyu Shi, George Azzopardi, Nicolai Petkov:
Inhibition-augmented COSFIRE model of shape-selective neurons. IBM J. Res. Dev. 61(2/3): 10:1-10:9 (2017) - [j46]Baris Gecer, George Azzopardi, Nicolai Petkov:
Color-blob-based COSFIRE filters for object recognition. Image Vis. Comput. 57: 165-174 (2017) - [j45]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: 89-95 (2017) - [c66]Alessia Saggese, Nicola Strisciuglio, Mario Vento, Nicolai Petkov:
A real-time system for audio source localization with cheap sensor device. AVSS 2017: 1-7 - [c65]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 - [c64]Manuel Lopez-Antequera, Nicolai Petkov, Javier González Jiménez:
City-scale continuous visual localization. ECMR 2017: 1-6 - [c63]Manuel Lopez-Antequera, Javier González Jiménez, Nicolai Petkov:
Evaluation of Whole-Image Descriptors for Metric Localization. EUROCAST (2) 2017: 281-288 - [c62]Estefanía Talavera, Petia Radeva, Nicolai Petkov:
Towards Egocentric Sentiment Analysis. EUROCAST (2) 2017: 297-305 - [c61]Estefanía Talavera, Nicola Strisciuglio, Nicolai Petkov, Petia Radeva:
Sentiment Recognition in Egocentric Photostreams. IbPRIA 2017: 471-479 - [c60]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: 3704-3708 - [c59]Nicola Strisciuglio, Nicolai Petkov:
Delineation of line patterns in images using B-COSFIRE filters. IWOBI 2017: 1-6 - [i6]Estefanía Talavera, Nicola Strisciuglio, Nicolai Petkov, Petia Radeva:
Sentiment Recognition in Egocentric Photostreams. CoRR abs/1703.09933 (2017) - [i5]Nicola Strisciuglio, Nicolai Petkov:
Delineation of line patterns in images using B-COSFIRE filters. CoRR abs/1707.07438 (2017) - [i4]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) - [i3]Alessia Saggese, Nicola Strisciuglio, Mario Vento, Nicolai Petkov:
Action recognition by learning pose representations. CoRR abs/1708.00672 (2017) - 2016
- [j44]George Azzopardi, Nicolai Petkov:
Special issue on selected papers from CAIP 2015. Mach. Vis. Appl. 27(8): 1115 (2016) - [j43]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) - [j42]Jiapan Guo, Chenyu Shi, George Azzopardi, Nicolai Petkov:
Inhibition-augmented trainable COSFIRE filters for keypoint detection and object recognition. Mach. Vis. Appl. 27(8): 1197-1211 (2016) - [j41]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): 207-220 (2016) - [j40]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): 631-643 (2016) - [j39]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) - [c58]Alessia Saggese, Nicola Strisciuglio, Mario Vento, Nicolai Petkov:
Time-frequency analysis for audio event detection in real scenarios. AVSS 2016: 438-443 - [c57]George Azzopardi, Laura Fernández-Robles, Enrique Alegre, Nicolai Petkov:
Increased generalization capability of trainable COSFIRE filters with application to machine vision. ICPR 2016: 3356-3361 - [c56]Manuel Lopez-Antequera, Nicolai Petkov, Javier González Jiménez:
Image-based localization using Gaussian Processes. IPIN 2016: 1-7 - [e6]Katrin Amunts, Lucio Grandinetti, Thomas Lippert, Nicolai Petkov:
Brain-Inspired Computing - Second International Workshop, BrainComp 2015, Cetraro, Italy, July 6-10, 2015, Revised Selected Papers. Lecture Notes in Computer Science 10087, Springer 2016, ISBN 978-3-319-50861-0 [contents] - 2015
- [j38]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): 6578-6585 (2015) - [j37]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) - [j36]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) - [c55]Pasquale Foggia, Alessia Saggese, Nicola Strisciuglio, Mario Vento, Nicolai Petkov:
Car crashes detection by audio analysis in crowded roads. AVSS 2015: 1-6 - [c54]Nicola Strisciuglio, Mario Vento, Nicolai Petkov:
Bio-Inspired Filters for Audio Analysis. BrainComp 2015: 101-115 - [c53]Nicola Strisciuglio, George Azzopardi, Mario Vento, Nicolai Petkov:
Multiscale Blood Vessel Delineation Using B-COSFIRE Filters. CAIP (2) 2015: 300-312 - [c52]Laura Fernández-Robles, George Azzopardi, Enrique Alegre, Nicolai Petkov:
Cutting Edge Localisation in an Edge Profile Milling Head. CAIP (2) 2015: 336-347 - [c51]Jiapan Guo, Chenyu Shi, George Azzopardi, Nicolai Petkov:
Recognition of Architectural and Electrical Symbols by COSFIRE Filters with Inhibition. CAIP (2) 2015: 348-358 - [c50]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: 513-521 - [c49]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: 558-569 - [c48]Eirini C. Schiza, George Panos, Christiana David, Nicolai Petkov, Christos N. Schizas:
Integrated Electronic Health Record Database Management System: A Proposal. ICIMTH 2015: 187-190 - [e5]George Azzopardi, Nicolai Petkov:
Computer Analysis of Images and Patterns - 16th International Conference, CAIP 2015, Valletta, Malta, September 2-4, 2015 Proceedings, Part I. Lecture Notes in Computer Science 9256, Springer 2015, ISBN 978-3-319-23191-4 [contents] - [e4]George Azzopardi, Nicolai Petkov:
Computer Analysis of Images and Patterns - 16th International Conference, CAIP 2015, Valletta, Malta, September 2-4, 2015, Proceedings, Part II. Lecture Notes in Computer Science 9257, Springer 2015, ISBN 978-3-319-23116-7 [contents] - [i2]Ruben Gomez-Ojeda, Manuel Lopez-Antequera, Nicolai Petkov, Javier González Jiménez:
Training a Convolutional Neural Network for Appearance-Invariant Place Recognition. CoRR abs/1505.07428 (2015) - 2014
- [j35]George Azzopardi, Nicolai Petkov:
Ventral-stream-like shape representation: from pixel intensity values to trainable object-selective COSFIRE models. Frontiers Comput. Neurosci. 8: 80 (2014) - [j34]Ioannis Giotis, Kerstin Bunte, Nicolai Petkov, Michael Biehl:
Erratum to: Adaptive Matrices and Filters for Color Texture Classification. J. Math. Imaging Vis. 48(1): 202 (2014) - [c47]Zhe Sun, Marco A. Wiering, Nicolai Petkov:
Classification system for mortgage arrear management. CIFEr 2014: 489-496 - [c46]Andreas C. Neocleous, Nicolai Petkov, Christos N. Schizas:
Automated Segmentation of Folk Songs Using Artificial Neural Networks. IJCCI (NCTA) 2014: 144-151 - [e3]Lucio Grandinetti, Thomas Lippert, Nicolai Petkov:
Brain-Inspired Computing - International Workshop, BrainComp 2013, Cetraro, Italy, July 8-11, 2013, Revised Selected Papers. Lecture Notes in Computer Science 8603, Springer 2014, ISBN 978-3-319-12083-6 [contents] - 2013
- [j33]Ando Emerencia, Lian van der Krieke, Sjoerd Sytema, Nicolai Petkov, Marco Aiello:
Generating personalized advice for schizophrenia patients. Artif. Intell. Medicine 58(1): 23-36 (2013) - [j32]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): 525-536 (2013) - [j31]Ioannis Giotis, Kerstin Bunte, Nicolai Petkov, Michael Biehl:
Adaptive Matrices and Filters for Color Texture Classification. J. Math. Imaging Vis. 47(1-2): 79-92 (2013) - [j30]George Azzopardi, Nicolai Petkov:
Automatic detection of vascular bifurcations in segmented retinal images using trainable COSFIRE filters. Pattern Recognit. Lett. 34(8): 922-933 (2013) - [c45]George Azzopardi, Nicolai Petkov:
COSFIRE: A Brain-Inspired Approach to Visual Pattern Recognition. BrainComp 2013: 76-87 - [c44]George Azzopardi, Nicolai Petkov:
A Shape Descriptor Based on Trainable COSFIRE Filters for the Recognition of Handwritten Digits. CAIP (2) 2013: 9-16 - 2012
- [j29]George Azzopardi, Nicolai Petkov:
A CORF computational model of a simple cell that relies on LGN input outperforms the Gabor function model. Biol. Cybern. 106(3): 177-189 (2012) - [j28]Ioannis Giotis, Nicolai Petkov:
Cluster-based adaptive metric classification. Neurocomputing 81: 33-40 (2012) - [j27]Ioannis Giotis, Nicolai Petkov:
Corrigendum to "Cluster-based adaptive metric classification" [Neurocomputing 81 (2012) 33-40]. Neurocomputing 91: 90 (2012) - [j26]Giuseppe Papari, Patrizio Campisi, Nicolai Petkov:
New Families of Fourier Eigenfunctions for Steerable Filtering. IEEE Trans. Image Process. 21(6): 2931-2943 (2012) - [c43]George Azzopardi, Nicolai Petkov:
Detection of retinal vascular bifurcations by rotation-, scale- and reflection-invariant COSFIRE filters. CBMS 2012: 1-4 - [c42]George Azzopardi, Nicolai Petkov:
Contour Detection by CORF Operator. ICANN (1) 2012: 395-402 - [c41]George Azzopardi, Nicolai Petkov:
Detection of Retinal Vascular Bifurcations by Rotation- and Scale-Invariant COSFIRE Filters. ICIAR (2) 2012: 363-371 - 2011
- [j25]Giuseppe Papari, Nicolai Petkov:
Edge and line oriented contour detection: State of the art. Image Vis. Comput. 29(2-3): 79-103 (2011) - [j24]Nicolai Petkov, Xiaoyi Jiang:
CAIP - Computer Analysis of Images and Patterns. Pattern Recognit. 44(9): 1841 (2011) - [j23]Kerstin Bunte, Michael Biehl, Marcel F. Jonkman, Nicolai Petkov:
Learning effective color features for content based image retrieval in dermatology. Pattern Recognit. 44(9): 1892-1902 (2011) - [j22]Giuseppe Papari, Nicolai Petkov:
An improved model for surround suppression by steerable filters and multilevel inhibition with application to contour detection. Pattern Recognit. 44(9): 1999-2007 (2011) - [c40]George Azzopardi, Nicolai Petkov:
Detection of Retinal Vascular Bifurcations by Trainable V4-Like Filters. CAIP (1) 2011: 451-459 - [c39]Kerstin Bunte, Ioannis Giotis, Nicolai Petkov, Michael Biehl:
Adaptive Matrices for Color Texture Classification. CAIP (2) 2011: 489-497 - 2010
- [c38]Giuseppe Papari, Patrizio Campisi, Nicolai Petkov:
Closed form of the steered elongated Hermite-Gauss wavelets. ICIP 2010: 377-380 - [c37]Giuseppe Papari, Patrizio Campisi, Nicolai Petkov:
Steerable Filtering Using Novel Circular Harmonic Functions with Application to Edge Detection. ICPR 2010: 3947-3950
2000 – 2009
- 2009
- [j21]Giuseppe Papari, Nikolai Petkov:
Continuous Glass Patterns for Painterly Rendering. IEEE Trans. Image Process. 18(3): 652-664 (2009) - [c36]Giuseppe Papari, Nicolai Petkov:
Reduced Inverse Distance Weighting Interpolation for Painterly Rendering. CAIP 2009: 509-516 - [c35]Lidia Sánchez, Nicolai Petkov:
Estimation of Boar Sperm Status Using Intracellular Density Distribution in Grey Level Images. Similarity-Based Clustering 2009: 169-184 - [c34]Kerstin Bunte, Michael Biehl, Nicolai Petkov, Marcel F. Jonkman:
Adaptive Metrics for Content Based Image Retrieval in Dermatology. ESANN 2009 - [c33]Giuseppe Papari, Nicolai Petkov:
Glass Patterns and Artistic Imaging. PSIVT 2009: 1034-1045 - [e2]Xiaoyi Jiang, Nicolai Petkov:
Computer Analysis of Images and Patterns, 13th International Conference, CAIP 2009, Münster, Germany, September 2-4, 2009. Proceedings. Lecture Notes in Computer Science 5702, Springer 2009, ISBN 978-3-642-03766-5 [contents] - 2008
- [j20]Enrique Alegre, Michael Biehl, Nicolai Petkov, Lidia Sánchez:
Automatic classification of the acrosome status of boar spermatozoa using digital image processing and LVQ. Comput. Biol. Medicine 38(4): 461-468 (2008) - [j19]Giuseppe Papari, Nicolai Petkov:
Adaptive Pseudo Dilation for Gestalt Edge Grouping and Contour Detection. IEEE Trans. Image Process. 17(10): 1950-1962 (2008) - [c32]Giuseppe Papari, Nicolai Petkov:
Fast multiresolution contour completion. Image Processing: Algorithms and Systems 2008: 68121 - 2007
- [j18]Nicolai Petkov, Easwar Subramanian:
Motion detection, noise reduction, texture suppression, and contour enhancement by spatiotemporal Gabor filters with surround inhibition. Biol. Cybern. 97(5-6): 423-439 (2007) - [j17]Giuseppe Papari, Patrizio Campisi, Nicolai Petkov, Alessandro Neri:
A Biologically Motivated Multiresolution Approach to Contour Detection. EURASIP J. Adv. Signal Process. 2007 (2007) - [j16]Giuseppe Papari, Nicolai Petkov, Patrizio Campisi:
Artistic Edge and Corner Enhancing Smoothing. IEEE Trans. Image Process. 16(10): 2449-2462 (2007) - [c31]Giuseppe Papari, Nicolai Petkov, Patrizio Campisi:
Edge and corner preserving smoothing for artistic imaging. IPAS 2007: 64970 - [c30]Giuseppe Papari, Patrizio Campisi, Nicolai Petkov:
Multilevel surround inhibition: a biologically inspired contour detector. IPAS 2007: 649702 - 2006
- [j15]Anarta Ghosh, Nicolai Petkov:
Effect of High Curvature Point Deletion on the Performance of Two Contour Based Shape Recognition Algorithms. Int. J. Pattern Recognit. Artif. Intell. 20(6): 913-924 (2006) - [c29]Nicolai Petkov:
Contour detection by surround suppression of texture. CompIMAGE 2006: 29-32 - [c28]Nikolai Petkov, Enrique Alegre, Michael Biehl, Lidia Sánchez:
LVQ acrosome integrity assessment of boar sperm cells. CompIMAGE 2006: 337-342 - [c27]Michael Biehl, Piter Pasma, Marten Pijl, Lidia Sánchez, Nicolai Petkov:
Classification of Boar Sperm Head Images using Learning Vector Quantization. ESANN 2006: 545-550 - [c26]Giuseppe Papari, Patrizio Campisi, Nicolai Petkov, Alessandro Neri:
Contour detection by surround inhibition in the Circular Harmonic Functions domain. EUSIPCO 2006: 1-5 - [c25]Giuseppe Papari, Patrizio Campisi, Nicolai Petkov, Alessandro Neri:
Contour Detection by Multiresolution Surround Inhibition. ICIP 2006: 749-752 - 2005
- [j14]Anarta Ghosh, Nicolai Petkov:
A cognitive evaluation procedure for contour based shape descriptors . Int. J. Hybrid Intell. Syst. 2(4): 237-252 (2005) - [j13]Anarta Ghosh, Nicolai Petkov:
Robustness of Shape Descriptors to Incomplete Contour Representations. IEEE Trans. Pattern Anal. Mach. Intell. 27(11): 1793-1804 (2005) - [c24]Anarta Ghosh, Nicolai Petkov:
Incomplete Contour Representations and Shape Descriptors: ICR Test Studies. BVAI 2005: 416-425 - [c23]Giuseppe Papari, Nicolai Petkov:
Algorithm That Mimics Human Perceptual Grouping of Dot Patterns. BVAI 2005: 497-506 - [c22]Lidia Sánchez, Nicolai Petkov, Enrique Alegre:
Statistical Approach to Boar Semen Head Classification Based on Intracellular Intensity Distribution. CAIP 2005: 88-95 - [c21]Lidia Sánchez, Nicolai Petkov, Enrique Alegre:
Classification of Boar Spermatozoid Head Images Using a Model Intracellular Density Distribution. CIARP 2005: 154-160 - 2004
- [j12]Cosmin Grigorescu, Nicolai Petkov, Michel A. Westenberg:
Contour and boundary detection improved by surround suppression of texture edges. Image Vis. Comput. 22(8): 609-622 (2004) - [c20]Anarta Ghosh, Nicolai Petkov:
GAP Test: A Cognitive Evaluation Procedure for Shape Descriptors. HIS 2004: 334-339 - 2003
- [j11]Nicolai Petkov, Michel A. Westenberg:
Suppression of contour perception by band-limited noise and its relation to nonclassical receptive field inhibition. Biol. Cybern. 88(3): 236-246 (2003) - [j10]Cosmin Grigorescu, Nicolai Petkov, Michel A. Westenberg:
Contour detection based on nonclassical receptive field inhibition. IEEE Trans. Image Process. 12(7): 729-739 (2003) - [j9]Cosmin Grigorescu, Nicolai Petkov:
Distance sets for shape filters and shape recognition. IEEE Trans. Image Process. 12(10): 1274-1286 (2003) - [c19]Cosmin Grigorescu, Nicolai Petkov, Michel A. Westenberg:
Contour detection operators based on surround inhibition. ICIP (3) 2003: 437-440 - [c18]Cosmin Grigorescu, Nicolai Petkov, Michel A. Westenberg:
The Role of Non-CRF Inhibition in Contour Detection. WSCG 2003 - [e1]Nicolai Petkov, Michel A. Westenberg:
Computer Analysis of Images and Patterns, 10th International Conference, CAIP 2003, Groningen, The Netherlands, August 25-27, 2003, Proceedings. Lecture Notes in Computer Science 2756, Springer 2003, ISBN 3-540-40730-8 [contents] - 2002
- [j8]Simona E. Grigorescu, Nicolai Petkov, Peter Kruizinga:
Comparison of texture features based on Gabor filters. IEEE Trans. Image Process. 11(10): 1160-1167 (2002) - [c17]Cosmin Grigorescu, Nicolai Petkov, Michel A. Westenberg:
Improved Contour Detection by Non-classical Receptive Field Inhibition. Biologically Motivated Computer Vision 2002: 50-59 - 2001
- [j7]Thomas Lippert, Nicolai Petkov, Paolo Palazzari, Klaus Schilling:
Hyper-systolic matrix multiplication. Parallel Comput. 27(6): 737-759 (2001) - 2000
- [j6]Peter Kruizinga, Nikolai Petkov:
Computational model of dot-pattern selective cells. Biol. Cybern. 83(4): 313-325 (2000) - [c16]Peter Kruizinga, Nicolai Petkov:
A Nonlinear Texture Operator Specialized in the Analysis of Dot-Patterns. ICPR 2000: 1197-1201 - [c15]Arthur E. C. Pece, Nicolai Petkov:
Fast Atomic Decomposition by the Inhibition Method. ICPR 2000: 3215-3218 - [c14]Simona E. Grigorescu, Nicolai Petkov, Peter Kruizinga:
A Comparative Study of Filter Based Texture Operators Using Mahalanobis Distance. ICPR 2000: 3897-3900 - [c13]Cosmin Grigorescu, Nicolai Petkov:
Graph-Based Features for Texture Discrimination. ICPR 2000: 7088-7091
1990 – 1999
- 1999
- [j5]Peter Kruizinga, Nicolai Petkov:
Nonlinear operator for oriented texture. IEEE Trans. Image Process. 8(10): 1395-1407 (1999) - [c12]Peter Kruizinga, Nicolai Petkov, Simona E. Grigorescu:
Comparison of Texture Features Based on Gabor Filters. ICIAP 1999: 142-147 - [c11]Peter Kruizinga, Nicolai Petkov:
Nonlinear operator for blob texture segmentation. NSIP 1999: 881-885 - 1998
- [c10]Peter Kruizinga, Nicolai Petkov:
Grating cell operator features for oriented texture segmentation. ICPR 1998: 1010-1014 - [i1]Thomas Lippert, Nicolai Petkov, Paolo Palazzari, Klaus Schilling:
Hyper-Systolic Matrix Multiplication. CoRR cs.MS/9809105 (1998) - 1997
- [j4]Nikolai Petkov, Peter Kruizinga:
Computational models of visual neurons specialised in the detection of periodic and aperiodic oriented visual stimuli: bar and grating cells. Biol. Cybern. 76(2): 83-96 (1997) - [c9]Thomas Lippert, Nicolai Petkov, Klaus Schilling:
BLAS-3 for the Quadrics Parallel Computer. HPCN Europe 1997: 332-341 - 1995
- [c8]Peter Kruizinga, Nicolai Petkov:
Person identification based on multiscale matching of cortical images. HPCN Europe 1995: 420-427 - [c7]Nicolai Petkov:
Biologically motivated self-organizing image classification system. HPCN Europe 1995: 938 - [c6]Nicolai Petkov:
Use of Cortical Filters and Neural Networks in a Self-Organising Image Classification System. ICIAP 1995: 165-170 - [c5]Peter Kruizinga, Nicolai Petkov:
A Computational Model of Periodic-Pattern-Selective Cells. IWANN 1995: 90-99 - 1994
- [j3]Tino Lourens, Nicolai Petkov, Peter Kruizinga:
Large scale natural vision simulations. Future Gener. Comput. Syst. 10(2-3): 351-358 (1994) - [c4]Peter Kruizinga, Nicolai Petkov:
Optical Flow Applied to Person Identification. EUROSIM 1994: 871-878 - [c3]Nicolai Petkov:
Conceiving Computationally Intensive Approaches to Vision (Invited Paper). HPCN 1994: 380-389 - 1993
- [c2]Nicolai Petkov, Peter Kruizinga, Tino Lourens:
Biologically Motivated Approach to Face Recognition. IWANN 1993: 68-77 - [c1]Nicolai Petkov, Peter Kruizinga, Tino Lourens:
Face Recognition on the Connection Machine CM-5. PARCO 1993: 185-192 - 1992
- [j2]T. Dontje, Thomas Lippert, Nicolai Petkov, Klaus Schilling:
Statistical analysis of simulation-generated time series: Systolic vs. semi-systolic correlation on the Connection Machine. Parallel Comput. 18(5): 575-588 (1992) - [j1]Thomas Lippert, Klaus Schilling, Nicolai Petkov:
Quark propagator on the Connection Machine. Parallel Comput. 18(12): 1291-1299 (1992)
Coauthor Index
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