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2020 – today
- 2024
[j13]Erdem Okur
, Mehmet Türkan:
Weighted Bag of Visual Words with enhanced deep features for melanoma detection. Expert Syst. Appl. 237(Part B): 121531 (2024)- [c26]Zeynep Ovgu Yayci, Mehmet Türkan:
Sparse Features for Multi-Exposure Fusion. EUSIPCO 2024: 451-455 - 2023
- [j12]Oguzhan Ulucan, Diclehan Ulucan, Mehmet Türkan:
Ghosting-free multi-exposure image fusion for static and dynamic scenes. Signal Process. 202: 108774 (2023) - [c25]Elif Duygu Petenkaya, Ozge Basak Lacin, Omer Faruk Kara, Mehmet Türkan:
Underwater Image Dehazing via Red-Channel Recovery. EUSIPCO 2023: 531-535 - 2022
- [j11]Diclehan Karakaya, Oguzhan Ulucan, Mehmet Türkan:
Image declipping: Saturation correction in single images. Digit. Signal Process. 127: 103537 (2022) - [j10]Yigit Oktar, Mehmet Türkan:
Preserving Spatio-Temporal Information in Machine Learning: A Shift-Invariant k-Means Perspective. J. Signal Process. Syst. 94(12): 1471-1483 (2022) - [c24]Diclehan Karakaya, Oguzhan Ulucan, Mehmet Türkan:
Pas-Mef: Multi-Exposure Image Fusion Based On Principal Component Analysis, Adaptive Well-Exposedness And Saliency Map. ICASSP 2022: 2345-2349 - [c23]Zeynep Ovgu Yayci, Ugur Dura, Zeynep Betul Kaya, Arif Enis Çetin, Mehmet Türkan:
Microscale Image Enhancement Via PCA and Well-Exposedness Maps. ICIP 2022: 2092-2096 - 2021
- [j9]Oguzhan Ulucan, Diclehan Karakaya, Mehmet Türkan:
Multi-exposure image fusion based on linear embeddings and watershed masking. Signal Process. 178: 107791 (2021) - [c22]Oguzhan Ulucan, Diclehan Karakaya, Mehmet Türkan:
Saturated Region Recovery in Tone-Mapped HDR Images. ICIP 2021: 1774-1778 - [c21]Oguzhan Ulucan, Diclehan Karakaya, Mehmet Türkan:
Image Fusion Through Linear Embeddings. ICIP 2021: 1784-1788 - [i7]Diclehan Karakaya, Oguzhan Ulucan, Mehmet Türkan:
PAS-MEF: Multi-exposure image fusion based on principal component analysis, adaptive well-exposedness and saliency map. CoRR abs/2105.11809 (2021) - 2020
- [j8]Diclehan Karakaya, Oguzhan Ulucan, Mehmet Türkan:
Electronic Nose and Its Applications: A Survey. Int. J. Autom. Comput. 17(2): 179-209 (2020) - [j7]Yigit Oktar, Mehmet Türkan:
Evolutionary simplicial learning as a generative and compact sparse framework for classification. Signal Process. 174: 107634 (2020) - [c20]Yigit Oktar, Mehmet Türkan:
Classification Via Simplicial Learning. ICIP 2020: 2945-2949 - [c19]Yigit Oktar, Oguzhan Ulucan, Diclehan Karakaya, Eda Ozgu Ersoy, Mehmet Türkan:
Binocular Vision based Convolutional Networks. SIU 2020: 1-4 - [i6]Yigit Oktar, Erdem Okur, Mehmet Türkan:
The Mimicry Game: Towards Self-recognition in Chatbots. CoRR abs/2002.02334 (2020) - [i5]Yigit Oktar, Mehmet Türkan:
Evolutionary Simplicial Learning as a Generative and Compact Sparse Framework for Classification. CoRR abs/2005.07076 (2020) - [i4]Yigit Oktar, Mehmet Türkan:
On the Preservation of Spatio-temporal Information in Machine Learning Applications. CoRR abs/2006.08321 (2020)
2010 – 2019
- 2019
- [j6]Yigit Oktar, Mehmet Türkan:
K-polytopes: a superproblem of k-means. Signal Image Video Process. 13(6): 1207-1214 (2019) - [i3]Kemal Alkin Gunbay, Mert Arikan, Mehmet Türkan:
Autonomous Cars: Vision based Steering Wheel Angle Estimation. CoRR abs/1901.10747 (2019) - [i2]Yigit Oktar, Diclehan Karakaya, Oguzhan Ulucan, Mehmet Türkan:
Convolutional Neural Networks: A Binocular Vision Perspective. CoRR abs/1912.10201 (2019) - 2018
- [j5]Erdem Okur, Mehmet Türkan:
A survey on automated melanoma detection. Eng. Appl. Artif. Intell. 73: 50-67 (2018) - [j4]Yigit Oktar, Mehmet Türkan:
A review of sparsity-based clustering methods. Signal Process. 148: 20-30 (2018) - 2017
- [c18]Yigit Oktar, Mehmet Türkan:
Dictionary learning with residual codes. SIU 2017: 1-4 - [i1]Yigit Oktar, Mehmet Türkan:
Boosting Dictionary Learning with Error Codes. CoRR abs/1701.04018 (2017) - 2016
- [c17]Jean Bégaint, Dominique Thoreau, Philippe Guillotel, Mehmet Türkan:
Locally-Weighted Template-Matching Based Prediction for Cloud-Based Image Compression. DCC 2016: 417-426 - 2015
- [c16]Joaquin Zepeda, Mehmet Türkan, Dominique Thoreau:
Block prediction using approximate template matching. EUSIPCO 2015: 96-100 - [c15]Mehmet Türkan, Martin Alain, Dominique Thoreau, Philippe Guillotel, Christine Guillemot:
Epitomic image factorization via neighbor-embedding. ICIP 2015: 4141-4145 - 2014
- [c14]Mehmet Türkan, Dominique Thoreau, Philippe Guillotel:
Iterated neighbor-embeddings for image super-resolution. ICIP 2014: 3887-3891 - 2013
- [j3]Mehmet Türkan, Christine Guillemot:
Dictionary learning for image prediction. J. Vis. Commun. Image Represent. 24(3): 426-437 (2013) - [j2]Christine Guillemot, Mehmet Türkan, Olivier Le Meur, Mounira Ebdelli:
Object removal and loss concealment using neighbor embedding methods. Signal Process. Image Commun. 28(10): 1405-1419 (2013) - [c13]Christine Guillemot, Mehmet Türkan, Olivier Le Meur, Mounira Ebdelli:
Image inpainting using LLE-LDNR and linear subspace mappings. ICASSP 2013: 1558-1562 - [c12]Mehmet Türkan, Dominique Thoreau, Philippe Guillotel:
Optimized neighbor embeddings for single-image super-resolution. ICIP 2013: 645-649 - 2012
- [j1]Mehmet Türkan, Christine Guillemot:
Image Prediction Based on Neighbor-Embedding Methods. IEEE Trans. Image Process. 21(4): 1885-1898 (2012) - [c11]Mehmet Türkan, Dominique Thoreau, Philippe Guillotel:
Self-content super-resolution for ultra-HD up-sampling. CVMP 2012: 49-58 - [c10]Christine Guillemot, Mehmet Türkan:
Neighbor embedding with non-negative matrix factorization for image prediction. ICASSP 2012: 785-788 - [c9]Mehmet Türkan, Christine Guillemot:
Locally linear embedding based texture synthesis for image prediction and error concealment. ICIP 2012: 3009-3012 - 2011
- [b1]Mehmet Türkan:
Novel texture synthesis methods and their application to image prediction and image inpainting. (Nouvelles méthodes de synthèse de texture ; application à la prédiction et à l'inpainting d'images). University of Rennes 1, France, 2011 - [c8]Mehmet Türkan, Christine Guillemot:
Image prediction based on non-negative matrix factorization. ICASSP 2011: 789-792 - [c7]Mehmet Türkan, Christine Guillemot:
Online dictionaries for image prediction. ICIP 2011: 293-296 - 2010
- [c6]Mehmet Türkan, Christine Guillemot:
Image prediction: Template matching vs. sparse approximation. ICIP 2010: 789-792 - [c5]Angélique Dremeau, Mehmet Türkan, Cédric Herzet, Christine Guillemot, Jean-Jacques Fuchs:
Spatial intra-prediction based on mixtures of sparse representations. MMSP 2010: 345-349
2000 – 2009
- 2009
- [c4]Mehmet Türkan, Christine Guillemot:
Sparse approximation with adaptive dictionary for image prediction. ICIP 2009: 25-28 - 2007
- [c3]Mehmet Türkan, Montse Pardàs, A. Enis Çetin:
Human eye localization using edge projections. VISAPP (1) 2007: 410-415 - 2006
- [c2]Mehmet Türkan, Ibrahim Onaran, A. Enis Çetin:
Human face detection in video using edge projections. EUSIPCO 2006: 1-5 - [c1]Mehmet Türkan, Berkan Dulek, Ibrahim Onaran, A. Enis Çetin:
Human face detection in video using edge projections. Visual Information Processing 2006: 624607
Coauthor Index
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last updated on 2024-11-07 20:35 CET by the dblp team
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