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Hakan Çevikalp
Hakan Cevikalp
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- affiliation: Eskişehir Osmangazi University, Turkey
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2020 – today
- 2024
- [j30]Hakan Cevikalp
, Edward Chome
Robust and compact maximum margin clustering for high-dimensional data. Neural Comput. Appl. 36(11): 5981-6003 (2024) - [c54]Yilmaz Küçük, Hakan Çevikalp:
Classification of Data Corruption in Microcontroller-Based Serial-Optical Communication with Tensorflow-Lite. SIU 2024: 1-3 - [i8]Furkan Durmus, Hasan Saribas, Said Aldemir, Junyan Yang, Hakan Cevikalp:
Pairwise Ranking Loss for Multi-Task Learning in Recommender Systems. CoRR abs/2406.02163 (2024) - [i7]Beyza Türkmen, Ramazan Tarik Türksoy, Hasan Saribas, Hakan Cevikalp:
Polyhedral Conic Classifier for CTR Prediction. CoRR abs/2406.03892 (2024) - [i6]Kerem Mertoglu, Yusuf Salk, Server Karahan Sarikaya, Kaya Turgut, Yasemin Evrenesoglu, Hakan Çevikalp, Ömer Nezih Gerek, Helin Dutagaci, David Rousseau:
PLANesT-3D: A new annotated dataset for segmentation of 3D plant point clouds. CoRR abs/2407.21150 (2024) - 2023
- [j29]Hasan Saribas, Hakan Cevikalp
Visual object tracking by using ranking loss and spatial-temporal features. Mach. Vis. Appl. 34(2): 30 (2023) - [j28]Bedirhan Uzun, Hakan Cevikalp
Deep Discriminative Feature Models (DDFMs) for Set Based Face Recognition and Distance Metric Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 5594-5608 (2023) - [j27]Hakan Cevikalp
From anomaly detection to open set recognition: Bridging the gap. Pattern Recognit. 138: 109385 (2023) - [c53]Ameen Ali, Lior Wolf, Hakan Cevikalp:
Degree-based stratification of nodes in Graph Neural Networks. ACML 2023: 15-27 - [c52]Hakan Cevikalp, Hasan Serhan Yavuz, Hasan Saribas:
Deep Uniformly Distributed Centers on a Hypersphere for Open Set Recognition. ACML 2023: 217-230 - [c51]Hakan Cevikalp
Deep Simplex Classifier for Maximizing the Margin in Both Euclidean and Angular Spaces. SCIA (2) 2023: 91-107 - [c50]Cemal Isilak, Ozan Durmaz, Yusuf Salk
Measuring Electromagnetic Field Strength in Base Stations Using Unmanned Aerial Vehicles. SIU 2023: 1-4 - [c49]Ahmet Karazor, Alperen Enes Bayar, Cihan Topal, Hakan Çevikalp:
Gaze Estimation by Attention Using a Two-Stream Regression Network. SIU 2023: 1-4 - [c48]Kerem Mertoglu, Yusuf Salk
PLANesT-3D: A New Annotated Data Set of 3D Color Point Clouds of Plants. SIU 2023: 1-4 - [c47]Irem Nur Yoldas, Hakan Çevikalp, Muhammed Gündogdu, Nevin Aydin, Muzaffer Metintas:
Benign and Malignant Tumor Segmentation on Thorax Computed Tomography Images. SIU 2023: 1-4 - [i5]Ameen Ali, Hakan Cevikalp, Lior Wolf:
Degree-based stratification of nodes in Graph Neural Networks. CoRR abs/2312.10458 (2023) - 2022
- [j26]Okan Köpüklü
Dissected 3D CNNs: Temporal skip connections for efficient online video processing. Comput. Vis. Image Underst. 215: 103318 (2022) - [j25]Hasan Saribas, Hakan Cevikalp, Okan Köpüklü, Bedirhan Uzun:
TRAT: Tracking by attention using spatio-temporal features. Neurocomputing 492: 150-161 (2022) - [j24]Hakan Cevikalp
Transductive polyhedral conic classifiers for machine learning applications. Pattern Recognit. Lett. 161: 1-7 (2022) - [c46]Golara Ghorban Dordinejad, Hakan Çevikalp:
Face Frontalization for Image Set Based Face Recognition. SIU 2022: 1-4 - [c45]Yusuf Salk
Anomaly Detection with Deep Compact Hypersphere. SIU 2022: 1-4 - [i4]Hakan Cevikalp, Hasan Saribas:
Deep Simplex Classifier for Maximizing the Margin in Both Euclidean and Angular Spaces. CoRR abs/2212.11747 (2022) - 2021
- [j23]Hakan Çevikalp
The nearest polyhedral convex conic regions for high-dimensional classification. Turkish J. Electr. Eng. Comput. Sci. 29(2): 913-928 (2021) - [j22]Nazlican Gengeç
Visual object detection for autonomous transport vehicles in smart factories. Turkish J. Electr. Eng. Comput. Sci. 29(4): 2101-2115 (2021) - [j21]Hakan Cevikalp
Polyhedral Conic Classifiers for Computer Vision Applications and Open Set Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 43(2): 608-622 (2021) - [j20]Hakan Cevikalp, Bedirhan Uzun, Okan Köpüklü, Gürkan Öztürk:
Deep compact polyhedral conic classifier for open and closed set recognition. Pattern Recognit. 119: 108080 (2021) - [c44]Matej Kristan, Jirí Matas
The Ninth Visual Object Tracking VOT2021 Challenge Results. ICCVW 2021: 2711-2738 - [c43]Ahmet Demir
High Resolution Video Transmission Using GNU Radio and USRP. SIU 2021: 1-4 - [c42]Halil Saglamlar, Hakan Çevikalp:
Transductive Polyhedral Conic Classifiers. SIU 2021: 1-4 - [i3]Hakan Cevikalp, Bedirhan Uzun, Okan Köpüklü, Gürkan Öztürk:
Deep Compact Polyhedral Conic Classifier for Open and Closed Set Recognition. CoRR abs/2102.12570 (2021) - 2020
- [j19]Hakan Cevikalp
Video Based Face Recognition by Using Discriminatively Learned Convex Models. Int. J. Comput. Vis. 128(12): 3000-3014 (2020) - [j18]Hakan Cevikalp
Semi-supervised robust deep neural networks for multi-label image classification. Pattern Recognit. 100: 107164 (2020) - [j17]Hakan Cevikalp
Face Recognition Based on Videos by Using Convex Hulls. IEEE Trans. Circuits Syst. Video Technol. 30(12): 4481-4495 (2020) - [c41]Matej Kristan, Ales Leonardis, Jiri Matas
The Eighth Visual Object Tracking VOT2020 Challenge Results. ECCV Workshops (5) 2020: 547-601 - [i2]Okan Köpüklü, Stefan Hörmann, Fabian Herzog, Hakan Cevikalp, Gerhard Rigoll:
Dissected 3D CNNs: Temporal Skip Connections for Efficient Online Video Processing. CoRR abs/2009.14639 (2020) - [i1]Hasan Saribas, Hakan Cevikalp, Okan Köpüklü, Bedirhan Uzun:
TRAT: Tracking by Attention Using Spatio-Temporal Features. CoRR abs/2011.09524 (2020)
2010 – 2019
- 2019
- [j16]Hakan Cevikalp
High-dimensional data clustering by using local affine/convex hulls. Pattern Recognit. Lett. 128: 427-432 (2019) - [c40]Hakan Cevikalp, Burak Benligiray, Ömer Nezih Gerek, Hasan Saribas:
Semi-Supervised Robust Deep Neural Networks for Multi-Label Classification. CVPR Workshops 2019: 9-17 - [c39]Hasan Saribas, Bedirhan Uzun, Burak Benligiray, Onur Eker, Hakan Cevikalp:
A Hybrid Method for Tracking of Objects by UAVs. CVPR Workshops 2019: 563-572 - [c38]Hakan Cevikalp, Golara Ghorban Dordinejad:
Discriminatively Learned Convex Models for Set Based Face Recognition. ICCV 2019: 10122-10131 - [c37]Matej Kristan, Amanda Berg, Linyu Zheng, Litu Rout, Luc Van Gool, Luca Bertinetto, Martin Danelljan, Matteo Dunnhofer
The Seventh Visual Object Tracking VOT2019 Challenge Results. ICCV Workshops 2019: 2206-2241 - [c36]Hakan Cevikalp, Hasan Saribas, Burak Benligiray, Sinem Kahvecioglu:
Visual Object Tracking by Using Ranking Loss. ICCV Workshops 2019: 2271-2280 - [c35]Bedirhan Uzun, Onur Eker, Hasan Saribas, Hakan Çevikalp:
Detection Based Tracking of Unmanned Aerial Vehicles. SIU 2019: 1-4 - 2018
- [j15]Hakan Cevikalp
Large-scale image retrieval using transductive support vector machines. Comput. Vis. Image Underst. 173: 2-12 (2018) - [j14]Mohamed Ilyes Lakhal, Hakan Çevikalp, Sergio Escalera, Ferda Ofli
Recurrent neural networks for remote sensing image classification. IET Comput. Vis. 12(7): 1040-1045 (2018) - [c34]Hasan Saribas, Hakan Cevikalp, Sinem Kahvecioglu:
Car detection in images taken from unmanned aerial vehicles. SIU 2018: 1-4 - [c33]Mohamed Ilyes Lakhal, Sergio Escalera
CRN: End-to-end Convolutional Recurrent Network Structure Applied to Vehicle Classification. VISIGRAPP (5: VISAPP) 2018: 137-144 - 2017
- [j13]Hakan Cevikalp, Bill Triggs:
Visual Object Detection Using Cascades of Binary and One-Class Classifiers. Int. J. Comput. Vis. 123(3): 334-349 (2017) - [j12]Hakan Cevikalp
Large-scale robust transductive support vector machines. Neurocomputing 235: 199-209 (2017) - [j11]Hakan Cevikalp
Best Fitting Hyperplanes for Classification. IEEE Trans. Pattern Anal. Mach. Intell. 39(6): 1076-1088 (2017) - [c32]Hakan Cevikalp, Bill Triggs:
Polyhedral Conic Classifiers for Visual Object Detection and Classification. CVPR 2017: 4114-4122 - [c31]Hakan Cevikalp, Hasan Serhan Yavuz
Fast and Accurate Face Recognition with Image Sets. ICCV Workshops 2017: 1564-1572 - [c30]Hakan Cevikalp, Golara Ghorban Dordinejad, Merve Elmas:
Feature extraction with convolutional neural networks for aerial image retrieval. SIU 2017: 1-4 - [c29]Hakan Cevikalp, Sahin Isik
ImageHawk search engine: Content based image retrieval system. SIU 2017: 1-4 - [c28]Golara Ghorban Dordinejad, Hakan Cevikalp:
Cone vertex estimation in polyhedral conic classifiers. SIU 2017: 1-4 - 2016
- [c27]Hakan Cevikalp, Merve Elmas, Savas Özkan:
Towards Category Based Large-Scale Image Retrieval Using Transductive Support Vector Machines. ECCV Workshops (1) 2016: 621-637 - [c26]Hakan Cevikalp, Merve Elmas:
Robust transductive support vector machines. SIU 2016: 985-988 - 2015
- [c25]Meltem Yalcin, Hakan Cevikalp
Towards Large-Scale Face Recognition Based on Videos. ICCV Workshops 2015: 1078-1085 - [c24]Tugce Dongel, Hakan Cevikalp:
Dimensionality reduction by using transductive learning and binary hierarchical trees. SIU 2015: 767-770 - 2014
- [j10]Hakan Cevikalp
Semi-supervised discriminative common vector method for computer vision applications. Neurocomputing 129: 289-297 (2014) - [c23]Hakan Cevikalp
2-Sided Best Fitting Hyperplane Classifier. ICPR 2014: 226-231 - [c22]Hakan Cevikalp, Hasan Serhan Yavuz
One-sided best fitting hyperplane classifier. SIU 2014: 112-115 - [c21]Tugce Dongel, Hakan Cevikalp:
Semi automatic annotation tool. SIU 2014: 1067-1070 - 2013
- [j9]Hakan Cevikalp
Hyperdisk based large margin classifier. Pattern Recognit. 46(6): 1523-1531 (2013) - [c20]Hakan Cevikalp, Bill Triggs, Vojtech Franc:
Face and landmark detection by using cascade of classifiers. FG 2013: 1-7 - [c19]Hakan Cevikalp, Zuhal Kurt
Return of the king: The Fourier transform based descriptor for visual object classification. SIU 2013: 1-4 - [c18]Hasan Serhan Yavuz
Automatic face recognition from frontal images. SIU 2013: 1-4 - 2012
- [c17]Hakan Cevikalp, Bill Triggs:
Efficient object detection using cascades of nearest convex model classifiers. CVPR 2012: 3138-3145 - [c16]Onur Akyuz, Hakan Cevikalp, Guvenc Usanmaz:
A novel method for object localization in digital images. SIU 2012: 1-4 - 2011
- [c15]Hakan Cevikalp:
Large Margin Classifier Based on Hyperdisks. ICMLA (1) 2011: 370-375 - 2010
- [j8]Hakan Cevikalp
Large margin classifiers based on affine hulls. Neurocomputing 73(16-18): 3160-3168 (2010) - [j7]Hakan Cevikalp
New clustering algorithms for the support vector machine based hierarchical classification. Pattern Recognit. Lett. 31(11): 1285-1291 (2010) - [j6]Hakan Cevikalp
Manifold Based Local Classifiers: Linear and Nonlinear Approaches. J. Signal Process. Syst. 61(1): 61-73 (2010) - [c14]Hakan Cevikalp
Face recognition based on image sets. CVPR 2010: 2567-2573 - [c13]Hakan Cevikalp, Hasan Serhan Yavuz
Large Margin Classifier Based on Affine Hulls. ICPR 2010: 21-24 - [c12]Hakan Cevikalp:
Semi-supervised Distance Metric Learning by Quadratic Programming. ICPR 2010: 3352-3355
2000 – 2009
- 2009
- [j5]Hakan Cevikalp
Two-dimensional subspace classifiers for face recognition. Neurocomputing 72(4-6): 1111-1120 (2009) - [c11]Hakan Cevikalp, Bill Triggs:
Large margin classifiers based on convex class models. ICCV Workshops 2009: 101-108 - [c10]Hakan Cevikalp
Semi-supervised Distance Metric Learning in High-Dimensional Spaces by Using Equivalence Constraints. VISIGRAPP (Selected Papers) 2009: 242-254 - [c9]Hakan Cevikalp, Roberto Paredes:
Semi-supervised Distance Metric Learning for Visual Object Classification. VISAPP (1) 2009: 315-322 - 2008
- [j4]Hakan Cevikalp
Local Classifier Weighting by Quadratic Programming. IEEE Trans. Neural Networks 19(10): 1832-1838 (2008) - [c8]Hakan Cevikalp, Bill Triggs, Frédéric Jurie, Robi Polikar
Margin-based discriminant dimensionality reduction for visual recognition. CVPR 2008 - [c7]Hakan Cevikalp, Bill Triggs, Robi Polikar:
Nearest hyperdisk methods for high-dimensional classification. ICML 2008: 120-127 - [c6]Hakan Cevikalp, Jakob Verbeek, Frédéric Jurie, Alexander Kläser:
Semi-Supervised Dimensionality Reduction Using Pairwise Equivalence Constraints. VISAPP (1) 2008: 489-496 - 2007
- [j3]Hakan Cevikalp
The Kernel Common Vector Method: A Novel Nonlinear Subspace Classifier for Pattern Recognition. IEEE Trans. Syst. Man Cybern. Part B 37(4): 937-951 (2007) - 2006
- [j2]Hakan Cevikalp
Discriminative Common Vector Method With Kernels. IEEE Trans. Neural Networks 17(6): 1550-1565 (2006) - [c5]Hakan Cevikalp, Hasan Serhan Yavuz, Atalay Barkana:
Two dimensional (2D) subspace classifiers for image recognition. EUSIPCO 2006: 1-4 - 2005
- [j1]Hakan Cevikalp
Discriminative Common Vectors for Face Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 27(1): 4-13 (2005) - [c4]Hakan Cevikalp, Marian Neamtu:
Nonlinear Common Vectors for pattern classification. EUSIPCO 2005: 1-4 - 2004
- [c3]Hakan Cevikalp, D. Mitch Wilkes:
Face Recognition by Using Discriminative Common Vectors. ICPR (1) 2004: 326-329 - 2003
- [c2]Robert F. Labadie, Michael Fenlon, Hakan Cevikalp, S. Harris, Robert L. Galloway, J. Michael Fitzpatrick:
Image-guided otologic surgery. CARS 2003: 627-632 - [c1]Xiaofeng Liu, Hakan Cevikalp
Marker orientation in fiducial registration. Medical Imaging: Image Processing 2003
Coauthor Index
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last updated on 2024-11-15 20:38 CET by the dblp team
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