Our research interests include machine learning and computer vision. In machine learning, we are interested in pattern classification (especially large margin and kernel classifiers), clustering, kernel methods, data modeling, statistical techniques, manifold learning and distance metric learning. In computer vision, we are particularly interested in visual object recognition, object category localization, face detection, face recognition and image retrieval. Our goal is to combine image analysis tools with the machine learning and statistical modeling techniques.
Candidates who are willing to study on one of the research topics listed above are welcome to contact us.
Publications in 2020 |
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Semi-Supervised Robust Deep Neural Networks for Multi-Label Image Classification Hakan Cevikalp, Burak Benligiray, Omer Nezih Gerek Pattern Recognition. |
Publications in 2019 |
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High-dimensional data clustering by using local affine/convex hulls
Hakan Cevikalp Pattern Recognition Letters, 128, 2019, pp.427-432. |
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Face recognition based on videos by using convex hulls Hakan Cevikalp, Hasan Serhan Yavuz, Bill Triggs
IEEE Transactions on Circuits and Systems for Video Technology, 2019. |
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Discriminatively Learned Convex Models for Set Based Face Recognition
Hakan Cevikalp, Golara Ghorban Dordinejad IEEE International Conference on Computer Vision, 2019. |
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Detection Based Tracking of Unmanned Aerial Vehicles
Bedirhan Uzun, Onur Eker, Hasan Saribas, Hakan Cevikalp 2019 27th Signal Processing and Communications Applications Conference (SIU) |
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Semi-Supervised Robust Deep Neural Networks for Multi-Label Classification
Hakan Cevikalp, Burak Benligiray, Omer Nezih Gerek, Hasan Saribas IEEE Conference on Computer Vision and Pattern Recognition Workshops. 2019. |
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Visual Object Tracking by Using Ranking Loss
Hakan Cevikalp, Hasan Saribas, Burak Benligiray, Sinem Kahvecioglu IEEE International Conference on Computer Vision Workshops, 2019. |
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Hakan Cevikalp, Halil Saglamlar IEEE transactions on pattern analysis and machine intelligence, 2019 |
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A Hybrid Method for Tracking of Objects by UAVs
Hasan Saribas, Bedirhan Uzun, Burak Benligiray, Onur Eker, Hakan Cevikalp IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019. |
Publications in 2018 |
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Large-scale image retrieval using transductive support vector machines
Hakan Cevikalp, Merve Elmas, Savas Ozkan Computer Vision and Image Understanding, 2018. |
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Mohamed Lakhal, Hakan Cevikalp, Sergio Escalera, Ferda Ofli, IET Computer Vision, 2018. |
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CRN: End-to-end convolutional recurrent neural network structure applied to vehicle classification
Mohamed Lakhal, Sergio Escalera, Hakan Cevikalp International Conference on Computer Vision Theory and Applications (VISAPP), 2018. |
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Hasan Saribas, Hakan Cevikalp, Sinem Kahvecioglu International Conference on Recent Trends in Engineering and Technology (RTET--2018), 2018. |
Publications in 2017 |
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Best Fitting Hyperplanes for Classification
Hakan Cevikalp IEEE Transactions on Pattern Analysis and and Machine Intelligence, vol 39, pp. 1076-1088, 2017. |
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Visual Object Detection Using Cascades of Binary and One-Class Classifiers
Hakan Cevikalp, Bill Triggs International Journal of Computer Vision, vol 123, pp. 123-334, 2017. |
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Fast and Accurate Face Recognition with Image Sets
Hakan Cevikalp, Hasan S. Yavuz International Conference on computer Vision (ICCV) Workshops, 2017. |
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Large-scale Robust Transductive Support Vector Machines
Hakan Cevikalp, Vojtech Franc Neurocomputing, vol. 235, pp.199-209, 2017. |
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The Fourier Transform Based Descriptor for Visual Object Classification
Hakan Cevikalp, Zuhal Kurt Anadolu University Journal of Science and Technology A- Applied Sciences and Engineering, vol. 18, pp.247-261, 2017. |
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Polyhedral Conic Classifiers for Visual Object Detection and Classification
Hakan Cevikalp, Bill Triggs IEEE Society Conference on Computer Vision and Pattern Recognition (CVPR), 2017. |
Publications in 2016 |
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Towards Category Based Large-Scale Image Retrieval Using Transductive Support Vector Machines
Hakan Cevikalp, Merve Elmas, Savas Ozkan Europeran Conference on Computer Vision Workshops, 2016. |
Publications in 2015 |
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Hasan S. Yavuz, Hakan Cevikalp, Rifat Edizkan Turkish Journal of Electrical Engineering & Computer Sciences, 2015. |
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Towards Large-Scale Face Recognition Based on Videos
Meltem Yalcin, Hakan Cevikalp, Hasan S. Yavuz International Conference on Computer Vision Workshop on Video Summarization for Large-Scale Analytics, 2015. |
Publications in 2014 |
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Semi-supervised discriminative common vector method for computer vision applications
Hakan Cevikalp Neurocomputing, vol. 129, pp. 289-297, 2014. |
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2-Sided Best Fitting Hyperplane Classifier
Hakan Cevikalp International Conference on Pattern Recognition, 2014. |
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Semi-Automatic Annotation Tool
Tugce Dongel, Hakan Cevikalp IEEE Signal Processing and Communications Applications Conference (in Turkish), 2014. |
Publications in 2013 |
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Hyperdisk Based Large Margin Classifier
Hakan Cevikalp, Bill Triggs Pattern Recognition, vol. 46, pp. 1523-1531, 2013. |
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Face and Landmark Detection by Using Cascade of Classifier
Hakan Cevikalp, Bill Triggs, Vojtech IEEE International Conference on Automatic Face and Gesture Recognition, 2013. |
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Konveks Sinif Modelleri Kullanarak Dijital Imgelerdeki Nesne Görüntülerinin Konumlarinin Bulunmasi (Object Detection by Using Convex Class Models)
Hakan Cevikalp Technical Report (in Turkish), 2013. |
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Return of the King: The Fourier Transform Based Descriptor for Visual Object Classification
Hakan Cevikalp,Zuhal Kurt, Ahmet O. Onarcan IEEE Signal Processing and Communications Applications Conference, 2013. |
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Automatic face recognition from frontal images
asan S. Yavuz, Hakan Cevikalp, Rifat Edizkan IEEE Signal Processing and Communications Applications Conference (in Turkish), 2013. |
Publications in 2012 |
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Distance Metric Learning by Quadratic Programming based on Equivalence Constraints
Hakan Cevikalp International Journal of Innovative Computing, Information and Control, 2012. |
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Dijital Imgelerdeki Nesnelerin Konumlarini Bulmak Icin Yeni Bir Yontem
O. Akyuz, H. Cevikalp, and G. Usanmaz IEEE Signal Processing and Communications Applications Conference, 2012. |
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Efficient Object Detection Using Cascades of Nearest Convex Model Classifiers
H. Cevikalp, B. Triggs IEEE Society Conference on Computer Vision and Pattern Recognition (CVPR), 2012. |
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Non-speech Environmental Sound Classification Using SVMs with a New Set of Features
O. Akyuz, H. Cevikalp, and G. Usanmaz International Journal of Innovative Computing, Information and Control, 2012. |
Publications in 2011 |
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Large Margin Classifier Based on Hyperdisks (nominated for the best paper award)
Hakan Cevikalp International Conference on Machine Learning and Applicaitons, Honolulu, 2011. |
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Digital Comparisons of features for automatic eye and mouth localization
H.Cevikalp, H. S. Yavuz, R. Edizkan, H. Gunduz, C. M. Kandemir INISTA, Istanbul, 2011. |
Publications in 2010 |
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Large margin classifiers based on affine hulls
H.Cevikalp, B. Triggs, H. S. Yavuz, Y. Kucuk, M. Kucuk, A. Barkana Neurocomputing, 2010, Volume 73, 3160-3168. |
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Semi-supervised Distance Metric Learning in High-Dimensional Spaces by Using Equivalence Constraints
H.Cevikalp, H. S. Yavuz, R. Edizkan, H. Gunduz, C. M. Kandemir Communications in Computer and Information Science, 2010, Volume 68, Part 4, 242-254. |
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New Clustering Algorithms for the Support Vector Machine Based Hierarchical Classification
Hakan Cevikalp Pattern Recognition Letters, 2010. |
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Face Recognition Based on Image Sets
H.Cevikalp, B.Triggs IEEE Conference on Computer Vision and Pattern Recognition, San Francisco USA 2010. |
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Semi-Supervised Distance Metric Learning by Quadratic Programming
Hakan Cevikalp International Conference on Pattern Recognition, Istanbul Turkey 2010. |
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H.Cevikalp and H. S. Yavuz International Conference on Pattern Recognition, Istanbul Turkey 2010. |
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Imge Setleriyle Yuz Tanima,(in Turkish)
Hakan Cevikalp IEEE Signal Processing and Communications Applications Conference, Diyarbakir, 2010. |
Publications in 2009 |
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Large Margin Classifiers Based on Convex Class Models
H.Cevikalp and B.Triggs 2nd IEEE International Workshop on Subspace Methods (in conjunction with IEEE International Conference on Computer Vision), Kyoto, Japan, 2009 |
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Multilinear-CLAFIC methods for tensor data in image recognition,(in Turkish)
H.Cevikalp and H. S. Yavuz IEEE Signal Processing and Communications Applications Conference, Side, April 2009. |
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Semi-supervised distance metric learning for visual object classification
H. Cevikalp and R. Paredes 4th International Conference on Computer Vision Theory and Applications, Lisbon, Portugal, 2009. |
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Two-dimensional subspace classifiers for face recognition
H.Cevikalp and H. S. Yavuz Neurocomputing,vol. 72, pp.1111-1120, 2009. |
Publications in 2008 |
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Comparison of Principal Component Analysis (PCA) and Multilinear Principal Component Analysis (MPCA) Methods for Face Recognition
H. S. Yavuz, M. A. Cay International Conference on Multivariate Statistical Modelling & High Dimensional Data Mining (HDM-2008), Erciyes University, June 2008 |
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New distance measure for hierarchical clustering
H. S. Yavuz and H. Cevikalp 16th IEEE Signal Processing and Communications Applications Conference, Didim - Turkey, 2008. |
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Local classifier weighting by quadratic programming
H. Cevikalp and R. Polikar IEEE Transactions on Neural Networks, vol. 19, pp. 1832-1838, 2008. |
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Nearest hyperdisk methods for high-dimensional classification
H. Cevikalp, B. Triggs, and R. Polikar International Conference on Machine Learning, Helsinki, Finland, July 5-9, 2008. |
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Margin-based discriminant dimensionality reduction for visual recognition
H. Cevikalp, B. Triggs, F. Jurie, and R. Polikar IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Anchorage, Alaska USA, June 24-26, 2008. |
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Semi-supervised dimensionality reduction using pairwise equivalence constraints
H. Cevikalp, J. Verbeek, F. Jurie, and A. Klaser 3rd International Conference on Computer Vision Theory and Applications, Funchal, Madeira Portugal, January 2008. |
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Manifold based local classifiers: linear and nonlinear approaches H. Cevikalp, D. Larlus, M. Neamtu, B. Triggs, and F. Jurie Journal of Signal Processing Systems, (online publishment),2008. |
Publications in 2007 |
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H. Cevikalp, M. Neamtu, and A. Barkana IEEE Trans. On Systems, Man, and Cybernetics Part B: Cybernetics, 37(3), pp. 937-951, 2007. |
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Local subspace classifiers: linear and nonlinear approaches
H. Cevikalp, D. Larlus, M. Douze, and F. Jurie The 2007 IEEE Machine Learning for Signal Processing Workshop, August 2007, Thessaloniki, Greece. |
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A supervised clustering algorithm for the initialization of RBF Neural Network Classifiers
H. Cevikalp, D. Larlus, and F. Jurie The 15th IEEE Signal Processing and Communications Applications Conference, Eskisehir, Turkey, June 2007. |
Publications in 2006 |
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Two Dimensional (2D) Subspace Classifiers for Image Recognition
Cevikalp, H. S. Yavuz, A. Barkana 14th European Signal Processing Conference EUSIPCO2006, Florence Italy, Sept. 2006. |
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Goruntu Tanimada Iki Boyutlu CLAFIC Yontemleri
H. S. Yavuz, H. Çevikalp, A. Barkana The 14th IEEE Signal Processing and Communications Applications Conference, Antalya, Turkey, April 2006. |
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Cevikalp, M. Neamtu, and M. Wilkes IEEE Trans. on Neural Networks, 17(5), pp.1550-1565, November 2006. |
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Theoretical analysis of linear discriminant analysis criteria
Hakan Cevikalp The 14th IEEE Signal Processing and Communications Applications Conference, Antalya, Turkey, April 2006. |
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Two dimensional (2D) subspace classifiers for image recognition
H. Cevikalp, H. S. Yavuz, A. Barkana The 14th European Signal Processing Conference, Florence, Italy, September 2006. |
Publications in 2005 |
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Feature Extraction Tehniques in High-Dimensional Spaces: Linear and Nonlinear Approaches
Hakan Cevikalp Ph. D. thesis, Vanderbilt University, 2005. |
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Discriminative common vectors for face recognition
H. Cevikalp, M. Neamtu, M. Wilkes, and A. Barkana IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol. 27, January 2005. |
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Nonlinear common vectors for pattern classification
H. Cevikalp and M. Neamtu The 13th European Signal Processing Conference, Antalya, Turkey, September 2005. |
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A comparison of the common vector and the discriminative common vector methods for face recognition
H. Cevikalp, B. Barkana, and A. Barkana The 9th World Multi-Conference on Systemics, Cybernetics and Informatics, July 2005, Orlando, USA. |
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Nonlinear common vectors for pattern classification
H. Cevikalp, M. Neamtu, and M. Wilkes The 9th World Multi-Conference on Systemics, Cybernetics and Informatics, July 2005, Orlando, USA. |
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Nonlinear discriminant common vectors (Turkish)
H. Cevikalp and M. Neamtu The 13th IEEE Signal Processing and Communications Applications Conference (SIU), Kayseri, Turkey, pp. 292-295, May 2005. |
Publications in 2004 |
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Phantom Validation of Coregistration of PET and CT for Image-guided Radiotherapy
W.C. Lavely, C. Scarfone, H. Cevikalp, R. Li, D. W. Byrne, A. J. Cmelak, B. M. Dawant, R. R. Price, D. E. Hallahan, J. M. Fitzpatrick Medical Physics, 2004 May; 31(5):1083-92. |
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Face recognition by using discriminative common vectors
H. Cevikalp, and M. Wilkes 17th Int. Conf. on Pattern Recognition (ICPR), Cambridge, UK, pp.326-329, August 2004. |
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novel method for face recognition (Turkish)
H. Cevikalp, M. Neamtu, M. Wilkes, and A. Barkana The 12th IEEE Signal Processing and Communications Applications Conference (SIU), Cesme, Turkey, April 2004. |
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M. B. Gulmezoglu, H. Cevikalp and A. Barkana The 12th IEEE Signal Processing and Communications Applications Conference (SIU), Cesme, Turkey, April 2004. |
Publications in 2003 |
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W.C. Lavely, C. Scarfone, H. Cevikalp, R. Li, D. W. Byrne, A. J. Cmelak, R. R. Price, D. E. Hallahan, J. M. Fitzpatrick Ann. Mtg. Radiol. Soc. N. America, Chicago, IL (Nov 2003). |
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Marker orientation in fiducial registration
X. Liu, H. Cevikalp, J. M. Fitzpatrick Proc. SPIE Medical Imaging 2003, San Diego, CA 1176-1183 (Feb 2003). |
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Image-guided otologic surgery
R. Labadie, M. Fenlon, H. Cevikalp, S. Harris, R. Galloway, J.M. Fitzpatrick Proc. 17th Int. Congress and Exhibition, Computer Assisted Radiology and Surgery, London, H.U. Lemke, et al, ed., Elsevier, Int. Congress Series 1256, 613-618 (June 2003). |
Publications in 2002 |
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Gurultulu verilerin taninmasinin iyilestirilmesi (Improving recognition rates for noisy signals)
H. Cevikalp, M. B. Gulmezoglu, and A. Barkana The 11th Conference on Signal Processing and Applications, June 2002, Denizli |
Publications in 2001 |
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The Comparison of Fuzzy Inference Systems and Neural Network Approaches with ANFIS Method for Fuel Consumption Data
H. Atmaca, B. Cetisli, H. S. Yavuz Second International Conference on Electrical and Electronics Engineering ELECO’2001, Bursa-Turkey, Nov. 2001. |
Publications in 2000 |
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LPG Isiticilarin Bulanik Mantik ile Kontrolu
H. Atmaca, B. Cetisli, H. S. Yavuz International Conference on Electrical and Electronics Engineering ELECO’2000, Bursa-Turkey, Nov. 2000. |
Publications in 1999 |
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The Implementation of Fuzzy Flip-Flops as Memory Modules
H. Atmaca, H. S. Yavuz International Conference on Electrical and Electronics Engineering ELECO’99, Bursa-Turkey, Dec. 1999. |