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Ilkay Ulusoy
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2020 – today
- 2024
- [j16]Ugurcan Çakal
, Maryada
Gradient-descent hardware-aware training and deployment for mixed-signal neuromorphic processors. Neuromorph. Comput. Eng. 4(1): 14011 (2024) - 2023
- [c32]Alper Kayabasi, Gülin Tüfekci, Ilkay Ulusoy:
Elimination of Non-Novel Segments at Multi-Scale for Few-Shot Segmentation. WACV 2023: 2558-2566 - [i8]Ugurcan Çakal, Ilkay Ulusoy, Dylan R. Muir:
Training and Deploying Spiking NN Applications to the Mixed-Signal Neuromorphic Chip Dynap-SE2 with Rockpool. CoRR abs/2303.12167 (2023) - 2022
- [j15]Görkem Algan
MetaLabelNet: Learning to Generate Soft-Labels From Noisy-Labels. IEEE Trans. Image Process. 31: 4352-4362 (2022) - [c31]Gülin Tüfekci, Alper Kayabasi, Erdem Akagündüz, Ilkay Ulusoy:
Detecting Driver Drowsiness as an Anomaly Using LSTM Autoencoders. ECCV Workshops (6) 2022: 549-559 - [c30]Gülin Tüfekci, Alper Kayabasi, Ilkay Ulusoy:
A Comparative Analysis of Revealing Temporal Patterns for Driver Drowsiness Detection. SIU 2022: 1-4 - [c29]Ilkay Ulusoy, Botan Yildirim:
Filtering Clean Sample from Noisy Datasets by Creating and Analyzing Artifical Class. SIU 2022: 1-4 - [i7]Gülin Tüfekci, Alper Kayabasi, Erdem Akagündüz, Ilkay Ulusoy:
Detecting Driver Drowsiness as an Anomaly Using LSTM Autoencoders. CoRR abs/2209.05269 (2022) - [i6]Alper Kayabasi, Gülin Tüfekci, Ilkay Ulusoy:
Elimination of Non-Novel Segments at Multi-Scale for Few-Shot Segmentation. CoRR abs/2211.02300 (2022) - 2021
- [j14]Görkem Algan, Ilkay Ulusoy
Image classification with deep learning in the presence of noisy labels: A survey. Knowl. Based Syst. 215: 106771 (2021) - [i5]Görkem Algan, Ilkay Ulusoy:
MetaLabelNet: Learning to Generate Soft-Labels from Noisy-Labels. CoRR abs/2103.10869 (2021) - 2020
- [c28]Görkem Algan, Ilkay Ulusoy:
Meta Soft Label Generation for Noisy Labels. ICPR 2020: 7142-7148 - [i4]Görkem Algan, Ilkay Ulusoy:
Label Noise Types and Their Effects on Deep Learning. CoRR abs/2003.10471 (2020) - [i3]Görkem Algan, Ilkay Ulusoy:
Meta Soft Label Generation for Noisy Labels. CoRR abs/2007.05836 (2020) - [i2]Görkem Algan, Ilkay Ulusoy, Saban Gönül, Banu Turgut, Berker Bakbak:
Deep Learning from Small Amount of Medical Data with Noisy Labels: A Meta-Learning Approach. CoRR abs/2010.06939 (2020)
2010 – 2019
- 2019
- [c27]Haluk Barkin Evgin, Oguzhan Babacan, Ilkay Ulusoy, Yasemin Hosgören, Adnan Kusman
Classification of fNIRS Data Using Deep Learning for Bipolar Disorder Detection. SIU 2019: 1-4 - [i1]Görkem Algan, Ilkay Ulusoy:
Image Classification with Deep Learning in the Presence of Noisy Labels: A Survey. CoRR abs/1912.05170 (2019) - 2018
- [c26]Sajjad Baghaee
User comfort and energy efficiency in HVAC systems by Q-learning. SIU 2018: 1-4 - [c25]Mehmet Sefik Guleryuz, Ilkay Ulusoy:
Retinal vessel segmentation using convolutional neural networks. SIU 2018: 1-4 - 2017
- [j13]V. Rasoulzadeh, E. C. Erkus, T. A. Yogurt, Ilkay Ulusoy, S. Aykan Zergeroglu
A comparative stationarity analysis of EEG signals. Ann. Oper. Res. 258(1): 133-157 (2017) - [j12]Mehmet Altan Toksöz
Hyperspectral Image Classification via Kernel Basic Thresholding Classifier. IEEE Trans. Geosci. Remote. Sens. 55(2): 715-728 (2017) - [c24]Mehmet Altan Toksöz, Ilkay Ulusoy:
Target detection in hyperspectral images using basic thresholding classifier. SIU 2017: 1-4 - 2016
- [j11]Mehmet Altan Toksöz
Classification via ensembles of basic thresholding classifiers. IET Comput. Vis. 10(5): 433-442 (2016) - [j10]Burak Altinoklu
A probabilistic sparse skeleton based object detection. Pattern Recognit. Lett. 83: 243-250 (2016) - [j9]Mehmet Altan Toksöz, Ilkay Ulusoy:
Hyperspectral Image Classification via Basic Thresholding Classifier. IEEE Trans. Geosci. Remote. Sens. 54(7): 4039-4051 (2016) - 2015
- [j8]Çaglar Aytekin, Yousef Rezaeitabar, Sedat Dogru
Railway Fastener Inspection by Real-Time Machine Vision. IEEE Trans. Syst. Man Cybern. Syst. 45(7): 1101-1107 (2015) - 2014
- [c23]Ilkay Ulusoy, Yousef Rezaeitabar, Nihan K. Çiçekli:
A Tracking System for the Recognition of Long Term Events in Surveillance Videos. ICT Innovations 2014: 85-92 - 2013
- [j7]Mehmet C. Yilmaztürk, Ilkay Ulusoy, Nihan Kesim Cicekli:
Online annotation of faces in personal videos by sequential learning. Multim. Tools Appl. 63(3): 591-613 (2013) - [j6]Örsan Aytekin, Mehmet Koç, Ilkay Ulusoy:
Local Primitive Pattern for the Classification of SAR Images. IEEE Trans. Geosci. Remote. Sens. 51(4-2): 2431-2441 (2013) - [c22]Karani Kardas, Ilkay Ulusoy, Nihan Kesim Cicekli:
Learning complex event models using markov logic networks. ICME Workshops 2013: 1-6 - [c21]Itir Onal, Karani Kardas, Yousef Rezaeitabar, Ulya Bayram
A framework for detecting complex events in surveillance videos. ICME Workshops 2013: 1-6 - [c20]Kerem Sahin, Ilkay Ulusoy:
Automatic multi-scale segmentation of high spatial resolution satellite images using watersheds. IGARSS 2013: 2505-2508 - [c19]Ulya Bayram
Comparison of cuboid and tracklet features for action recognition on surveillance videos. SIU 2013: 1-4 - 2012
- [j5]Yousef Rezaeitabar, Ilkay Ulusoy:
Automatic 3D segmentation of individual facial muscles using unlabeled prior information. Int. J. Comput. Assist. Radiol. Surg. 7(1): 35-41 (2012) - [c18]Örsan Aytekin, Mehmet Koç, Ilkay Ulusoy:
A novel feature extraction method for the classification of SAR images. IGARSS 2012: 3482-3485 - [c17]Örsan Aytekin, Mauro Dalla Mura
Classification of hyperspectral images based on weighted DMPS. IGARSS 2012: 4154-4157 - [c16]Ismail Ozsarac, Ilkay Ulusoy:
Real time FPGA implementation of Full Search video stabilization method. SIU 2012: 1-4 - 2011
- [j4]Ilkay Ulusoy, Erdem Akagündüz, Murat Yirci:
Anatomical and dynamic volume spline model applied to facial soft tissue. Comput. Animat. Virtual Worlds 22(6): 543-554 (2011) - [j3]Örsan Aytekin, Ilkay Ulusoy:
Automatic segmentation of VHR images using type information of local structures acquired by mathematical morphology. Pattern Recognit. Lett. 32(13): 1618-1625 (2011) - [c15]Örsan Aytekin, Yousef Rezaeitabar, Ilkay Ulusoy:
VHR image segmentation using over segmented regions in a MRF model. IGARSS 2011: 613-616 - 2010
- [c14]Gökhan Yaprakkaya, Nihan Kesim Cicekli, Ilkay Ulusoy:
Gender and Age Groups Classifications for Semantic Annotation of Videos. ISCIS 2010: 227-230 - [c13]Mehmet C. Yilmaztürk, Ilkay Ulusoy, Nihan Kesim Cicekli:
Analysis of Face Recognition Algorithms for Online and Automatic Annotation of Personal Videos. ISCIS 2010: 231-236 - [e1]Edwin R. Hancock, Richard C. Wilson, Terry Windeatt
Structural, Syntactic, and Statistical Pattern Recognition, Joint IAPR International Workshop, SSPR&SPR 2010, Cesme, Izmir, Turkey, August 18-20, 2010. Proceedings. Lecture Notes in Computer Science 6218, Springer 2010, ISBN 978-3-642-14979-5 [contents]
2000 – 2009
- 2009
- [c12]Erdem Akagündüz
Scale-space approach for the comparison of HK and SC curvature descriptions as applied to object recognition. ICIP 2009: 413-416 - 2008
- [c11]Erdem Akagündüz, Arzu Erener, Ilkay Ulusoy, H. Sebnem Düzgün:
Deliniation of Slope Units based on Scale and Resolution Invariant 3D Curvature Extraction. IGARSS (3) 2008: 581-584 - 2007
- [j2]Ilkay Ulusoy, Edwin R. Hancock
A statistical approach to sparse multi-scale phase-based stereo. Pattern Recognit. 40(9): 2504-2520 (2007) - [c10]Erdem Akagündüz, Ilkay Ulusoy:
Extraction of 3D Transform and Scale Invariant Patches from Range Scans. CVPR 2007 - [c9]Erdem Akagündüz, Ilkay Ulusoy:
3D Object Representation Using Transform and Scale Invariant 3D Features. ICCV 2007: 1-8 - 2006
- [c8]Ilkay Ulusoy, Christopher M. Bishop:
Comparison of Generative and Discriminative Techniques for Object Detection and Classification. Toward Category-Level Object Recognition 2006: 173-195 - 2005
- [c7]Ilkay Ulusoy, Christopher M. Bishop:
Generative versus Discriminative Methods for Object Recognition. CVPR (2) 2005: 258-265 - [c6]Mark Everingham, Andrew Zisserman, Christopher K. I. Williams, Luc Van Gool, Moray Allan, Christopher M. Bishop, Olivier Chapelle, Navneet Dalal, Thomas Deselaers, Gyuri Dorkó, Stefan Duffner, Jan Eichhorn, Jason D. R. Farquhar, Mario Fritz, Christophe Garcia, Tom Griffiths, Frédéric Jurie, Daniel Keysers, Markus Koskela, Jorma Laaksonen
The 2005 PASCAL Visual Object Classes Challenge. MLCW 2005: 117-176 - [c5]Ilkay Ulusoy:
A Generative Model for Multi Class Object Recognition and Detection. TAINN 2005: 32-40 - 2004
- [j1]Ilkay Ulusoy, Ugur Halici
Time-frequency analysis of visual evoked potentials for interhemispheric transfer time and proportion in callosal fibers of different diameters. Biol. Cybern. 90(4): 291-301 (2004) - [c4]Christopher M. Bishop, Ilkay Ulusoy:
Object Recognition via Local Patch Labelling. Deterministic and Statistical Methods in Machine Learning 2004: 1-21 - [c3]Ilkay Ulusoy, Ugur Halici
Probabilistic Phase Based Sparse Stereo. ICPR (4) 2004: 84-87 - [c2]Ilkay Ulusoy, Ugur Halici
3D Cognitive Map Construction by Active Stereo Vision in a Virtual World. ISCIS 2004: 400-409 - 2002
- [c1]Ilkay Ulusoy, Edwin R. Hancock, Ugur Halici
Disparity Using Feature Points in Multi Scale. SSPR/SPR 2002: 320-328
Coauthor Index
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last updated on 2024-10-07 21:19 CEST by the dblp team
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