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Bilge Günsel
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2020 – today
- 2024
- [j25]Elif Ecem Akbaba
, Filiz Gurkan
Boosting person ReID feature extraction via dynamic convolution. Pattern Anal. Appl. 27(3): 80 (2024) - 2023
- [c65]Elif Ecem Akbaba, Bilge Günsel, Filiz Gurkan:
Improved Scene Classification by Dynamic CNNs. ICECS 2023: 1-4 - [c64]Yusuf K. Hanoglu, Bilge Günsel, Meltem Gulbas:
Vehicle Crowd Analysis via Transfer Learning. ICECS 2023: 1-4 - 2022
- [c63]Irem Beyza Onur, Filiz Gurkan, Bilge Günsel:
Video Object Verification via Meta-learning. SIU 2022: 1-4 - 2021
- [j24]Filiz Gurkan, Bilge Günsel
Integration of regularized l1 tracking and instance segmentation for video object tracking. Neurocomputing 423: 284-300 (2021) - [j23]Filiz Gurkan
TDIOT: Target-Driven Inference for Deep Video Object Tracking. IEEE Trans. Image Process. 30: 7938-7951 (2021) - [c62]Matej Kristan, Jirí Matas
The Ninth Visual Object Tracking VOT2021 Challenge Results. ICCVW 2021: 2711-2738 - [i2]Filiz Gurkan, Llukman Cerkezi, Ozgun Cirakman, Bilge Günsel:
TDIOT: Target-driven Inference for Deep Video Object Tracking. CoRR abs/2103.11017 (2021) - 2020
- [j22]Yusuf Yaslan
A context-aware mobile application framework using audio watermarking. Multim. Syst. 26(3): 323-337 (2020)
2010 – 2019
- 2019
- [j21]Filiz Gurkan, Bilge Günsel
Robust object tracking via integration of particle filtering with deep detection. Digit. Signal Process. 87: 112-124 (2019) - [c61]Caner Ozer
Target Aware Visual Object Tracking. ICIAR (2) 2019: 186-198 - [c60]Ozan Cakiroglu, Caner Ozer
Design of a Deep Face Detector by Mask R-CNN. SIU 2019: 1-4 - [i1]Filiz Gurkan, Bilge Günsel:
Integration of Regularized l1 Tracking and Instance Segmentation for Video Object Tracking. CoRR abs/1912.12883 (2019) - 2018
- [j20]Demir Y. Yavas, Ibrahim Hökelek, Bilge Günsel
On modeling of priority-based SIP request scheduling. Simul. Model. Pract. Theory 80: 128-144 (2018) - [c59]Erdem Onur Ozyurt
Wami Object Tracking Using L1Tracker Integrated with a Deep Detector. ICIP 2018: 2690-2694 - [c58]Oguzhan Gultekin, Bilge Günsel
Robust object tracking by variable rate kernel particle filter. SIU 2018: 1-4 - [c57]Caner Ozer
Object tracking by deep object detectors and particle filtering. SIU 2018: 1-4 - 2017
- [j19]Demir Y. Yavas
On fluid-flow modeling of priority based request scheduling for finite buffer SIP server. Int. J. Commun. Syst. 30(17) (2017) - [c56]Demir Y. Yavas, Ibrahim Hökelek, Bilge Günsel
Modeling of SIP retransmission traffic under lossy network conditions. BlackSeaCom 2017: 1-5 - [c55]B. Akok, Filiz Gurkan, Onur Kaplan, Bilge Günsel
Robust object tracking by interleaving variable rate color particle filtering and deep learning. ICIP 2017: 3665-3669 - [c54]Esra Ergün
Video action classification by deep learning. SIU 2017: 1-4 - 2016
- [c53]Deniz Kumlu, Bilge Günsel
Variable rate adaptive color-based particle filter tracking. ICIP 2016: 1679-1683 - [c52]Ozgun Cirakman, Bilge Günsel
Online speaker emotion tracking with a dynamic state transition model. ICPR 2016: 307-312 - [c51]Demir Y. Yavas, Ibrahim Hökelek, Bilge Günsel
Analytical Model of Priority Based Request Scheduling Mechanism Preventing SIP Server Overload. MILCOM 2016: 1041-1046 - [c50]Demir Y. Yavas, Ibrahim Hökelek, Bilge Günsel:
Modeling of Priority-based Request Scheduling Mechanism for Finite Buffer SIP Servers. QTNA 2016: 6 - 2015
- [j18]Mehmet Cenk Sezgin, Bilge Günsel
Medium term speaker state detection by perceptually masked spectral features. Speech Commun. 67: 26-41 (2015) - [c49]Bilge Günsel
Speaker emotional state classification by DPM models with annealed SMC samplers. EUSIPCO 2015: 120-124 - [c48]Demir Y. Yavas, Ibrahim Hökelek, Bilge Günsel
Controlling SIP server overload with priority based request scheduling. ICNC 2015: 510-514 - [c47]Demir Y. Yavas, Ibrahim Hökelek, Bilge Günsel
Analysis tool for SIP server loading. SIU 2015: 548-551 - [c46]Filiz Gurkan, Bilge Günsel
Integration of motion and localization features for head movement classification. SIU 2015: 1586-1589 - 2014
- [j17]Demir Y. Yavas, Ibrahim Hökelek, Bilge Günsel
Strict Prioritization of New Requests over Retransmissions for Enhancing Scalability of SIP Servers. IEICE Trans. Commun. 97-B(12): 2680-2688 (2014) - [j16]Ozgun Cirakman, Bilge Günsel
Content-based copy detection by a subspace learning based video fingerprinting scheme. Multim. Tools Appl. 71(3): 1381-1409 (2014) - [j15]Serap Kirbiz, Bilge Günsel
A multiresolution non-negative tensor factorization approach for single channel sound source separation. Signal Process. 105: 56-69 (2014) - [c45]Inci M. Baytas
Head motion classification with 2D motion estimation. SIU 2014: 325-328 - [c44]Serap Kirbiz, Bilge Günsel
Single channel audio source separation by Clustered NMF. SIU 2014: 469-472 - 2013
- [j14]Serap Kirbiz, Bilge Günsel
Perceptually enhanced blind single-channel music source separation by Non-negative Matrix Factorization. Digit. Signal Process. 23(2): 646-658 (2013) - [j13]Koray Kayabol, Bilge Günsel
Unsupervised classification of SAR images using normalized gamma process mixtures. Digit. Signal Process. 23(5): 1344-1352 (2013) - [j12]Serhat Selcuk Bucak, Bilge Günsel
Online video scene clustering by competitive incremental NMF. Signal Image Video Process. 7(4): 723-739 (2013) - [c43]Bilge Günsel
Sleepiness detection from speech by perceptual features. ICASSP 2013: 788-792 - [c42]Serap Kirbiz, Bilge Günsel
An adaptive time-frequency resolution framework for single channel source separation based on non-negative tensor factorization. ICASSP 2013: 905-909 - [c41]Koray Kayabol, Bilge Günsel
SAR image classification with normalized gamma process mixtures. ICIP 2013: 320-324 - [c40]Demir Y. Yavas, Ibrahim Hökelek, Bilge Günsel:
An Analysis Tool to Evaluate Effect of Retransmissions on SIP Server Overloading. NGMAST 2013: 99-104 - [c39]Sezer Kutluk
Tissue density classification in mammographic images using local features. SIU 2013: 1-4 - 2012
- [j11]Yener Ülker, Bilge Günsel
Multiple model target tracking with variable rate particle filters. Digit. Signal Process. 22(3): 417-429 (2012) - [j10]Mehmet Cenk Sezgin, Bilge Günsel
Perceptual audio features for emotion detection. EURASIP J. Audio Speech Music. Process. 2012: 16 (2012) - [c38]Serap Kirbiz, Bilge Günsel:
Perceptually weighted Non-negative Matrix Factorization for blind single-channel music source separation. ICPR 2012: 226-229 - [c37]Ozgun Cirakman, Sezer Kutluk
A vocabulary-tree implementation for mobile product recognition. SIU 2012: 1-4 - [c36]Mehmet Cenk Sezgin, Bilge Günsel, Canberk Hacioglu:
Audio emotion recognition by perceptual features. SIU 2012: 1-4 - 2011
- [j9]Yener Ülker, Bilge Günsel
Annealed SMC Samplers for Nonparametric Bayesian Mixture Models. IEEE Signal Process. Lett. 18(1): 3-6 (2011) - [c35]Mehmet Cenk Sezgin, Bilge Günsel, Gunes Karabulut-Kurt
A novel perceptual feature set for audio emotion recognition. FG 2011: 780-785 - 2010
- [c34]Serap Kirbiz, Bilge Günsel:
A perceptually enhanced blind single-channel audio source separation by non-negative matrix factorization. EUSIPCO 2010: 731-735 - [c33]Yigitcan Savran, Bilge Günsel
Novelty Detection on Metallic Surfaces by GMM Learning in Gabor Space. ICIAR (2) 2010: 325-334 - [c32]Ozgun Cirakman, Bilge Günsel
Key-frame based video fingerprinting by NMF. ICIP 2010: 2373-2376 - [c31]Yener Ülker, Bilge Günsel, Ali Taylan Cemgil
Annealed SMC Samplers for Dirichlet Process Mixture Models. ICPR 2010: 2808-2811 - [c30]Serap Kirbiz, Ali Taylan Cemgil
Bayesian Inference for Nonnegative Matrix Factor Deconvolution Models. ICPR 2010: 2812-2815 - [c29]Sezer Kutluk, Bilge Günsel:
ITU MSPR TRECVID 2010 Video Copy Detection System. TRECVID 2010 - [c28]Yener Ülker, Bilge Günsel, Ali Taylan Cemgil:
Sequential Monte Carlo Samplers for Dirichlet Process Mixtures. AISTATS 2010: 876-883
2000 – 2009
- 2009
- [j8]Serhat Selcuk Bucak, Bilge Günsel
Incremental subspace learning via non-negative matrix factorization. Pattern Recognit. 42(5): 788-797 (2009) - [c27]Ozan Gursoy, Bilge Günsel
Transform Invariant Video Fingerprinting by NMF. CAIP 2009: 452-459 - 2008
- [j7]Yusuf Yaslan
An integrated on-line audio watermark decoding scheme for broadcast monitoring. Multim. Tools Appl. 40(1): 1-21 (2008) - [c26]Serhat Selcuk Bucak, Bilge Günsel
Incremental clustering via nonnegative matrix factorization. ICPR 2008: 1-4 - [c25]Yener Ülker, Bilge Günsel
A multiple model structure for tracking by variable rate particle filters. ICPR 2008: 1-4 - [c24]Ozan Gursoy, Bilge Günsel:
Istanbul Technical University at TRECVID2008. TRECVID 2008 - 2007
- [c23]Serhat Selcuk Bucak, Bilge Günsel
Video Content Representation by Incremental Non-Negative Matrix Factorization. ICIP (2) 2007: 113-116 - [c22]Serhat Selcuk Bucak, Bilge Günsel, Ozan Gursoy:
Incremental Non-negative Matrix Factorization for Dynamic Background Modelling. PRIS 2007: 107-116 - 2006
- [c21]Serap Kirbiz, Bilge Günsel
Robust Audio Watermark Decoding by Supervised Learning. ICASSP (5) 2006: 761-764 - [c20]Bilge Günsel
Perceptual Audio Watermarking by Learning in Wavelet Domain. ICPR (3) 2006: 383-386 - [c19]Bilge Günsel
A Statistical Framework for Audio Watermark Detection and Decoding. MRCS 2006: 241-248 - [e1]Bilge Günsel, Anil K. Jain, A. Murat Tekalp, Bülent Sankur:
Multimedia Content Representation, Classification and Security, International Workshop, MRCS 2006, Istanbul, Turkey, September 11-13, 2006, Proceedings. Lecture Notes in Computer Science 4105, Springer 2006, ISBN 3-540-39392-7 [contents] - 2005
- [c18]Serap Kirbiz, Yusuf Yaslan, Bilge Günsel:
Robust audio watermark decoding by nonlinear classification. EUSIPCO 2005: 1-4 - [c17]Bilge Günsel
Content-based access to art paintings. ICIP (2) 2005: 558-561 - 2004
- [c16]Oguz Icoglu, Bilge Günsel, Sanem Sariel:
Classification and indexing of paintings based on art movements. EUSIPCO 2004: 749-752 - [c15]Sait Sener, Bilge Günsel
Blind Audio Watermark Decoding Using Independent Component Analysis. ICPR (2) 2004: 875-878 - [c14]Yusuf Yaslan
An Integrated Decoding Framework for Audio Watermark Extraction. ICPR (2) 2004: 879-882 - 2002
- [j6]Bilge Günsel
Robust watermarking of fingerprint images. Pattern Recognit. 35(12): 2739-2747 (2002) - 2001
- [c13]Umut Uludag, Bilge Günsel, Meltem Ballan:
A Spatial Method for Watermarking of Fingerprint Images. PRIS 2001: 26-33 - [c12]Oguz Icoglu
User preference matching for smart browsing of media contents. Storage and Retrieval for Media Databases 2001: 330-340 - [c11]Umut Uludag, Bilge Günsel
Robust watermarking of busy images. Security and Watermarking of Multimedia Contents 2001: 18-25
1990 – 1999
- 1998
- [j5]Bilge Günsel
Temporal video segmentation using unsupervised clustering and semantic object tracking. J. Electronic Imaging 7(3): 592-604 (1998) - [j4]A. Murat Tekalp
Two-dimensional mesh-based visual-object representation for interactive synthetic/natural digital video. Proc. IEEE 86(6): 1029-1051 (1998) - [j3]Bilge Günsel
Shape similarity matching for query-by-example. Pattern Recognit. 31(7): 931-944 (1998) - [j2]Bilge Günsel
Content-based access to video objects: Temporal Segmentation, visual summarization, and feature extraction. Signal Process. 66(2): 261-280 (1998) - [c10]Bilge Günsel, A. Murat Tekalp:
Content-based Video Abstraction. ICIP (3) 1998: 128-132 - 1997
- [c9]Bilge Günsel
Object-Based Video Indexing for Virtual Studio Productions. CVPR 1997: 769-774 - [c8]Ahmet Müfit Ferman, Bilge Günsel
Motion and shape signatures for object-based indexing of MPEG-4 compressed video. ICASSP 1997: 2601-2604 - [c7]Bilge Günsel
Moving Visual Representations of Video Objects for Content-Based Search and Browsing. ICIP (2) 1997: 502-505 - 1996
- [j1]Bilge Günsel
Reconstruction and Boundary Detection of Range and Intensity Images Using Multiscale MRF Representations. Comput. Vis. Image Underst. 63(2): 353-366 (1996) - [c6]Bilge Günsel, A. Murat Tekalp
Similarity analysis for shape retrieval by example. ICPR 1996: 330-334 - [c5]Bilge Günsel
Video indexing through integration of syntactic and semantic features. WACV 1996: 90-95 - 1995
- [c4]Bilge Günsel
Supervised learning of smoothing parameters in image restoration by regularization under cellular neural networks framework. ICIP 1995: 470-473 - 1994
- [c3]Bilge Günsel
Segmentation of Range and Intensity Images Using Multiscale Markov Random Field Representations. ICIP (2) 1994: 187-191 - [c2]Bilge Günsel
Boundary detection using multiscale Markov random fields. ICPR (2) 1994: 173-177 - 1992
- [c1]Bilge Günsel
Visual surface reconstruction and boundary detection using stochastic models. ICPR (3) 1992: 343-346
Coauthor Index
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last updated on 2024-12-10 21:48 CET by the dblp team
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