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Savas Özkan
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Books and Theses
- 2020
- [b1]Savas Özkan:
Learning-based methods for multi-modal and multi-spectral data ; Çoklu-model ve çoklu-spektral verilerde ögrenme tabanlı yöntemler. Middle East Technical University, Çankaya, Ankara, Turkey, 2020
Journal Articles
- 2024
- [j6]Savas Özkan, M. Alper Selver, Bora Baydar, Ali Emre Kavur, Cemre Candemir, Gozde Bozdagi Akar:
Cross-Modal Learning via Adversarial Loss and Covariate Shift for Enhanced Liver Segmentation. IEEE Trans. Emerg. Top. Comput. Intell. 8(4): 2723-2735 (2024) - 2021
- [j5]A. Emre Kavur, Naciye Sinem Gezer, Mustafa Baris, Sinem Aslan, Pierre-Henri Conze, Vladimir Groza, Duc Duy Pham, Soumick Chatterjee, Philipp Ernst, Savas Özkan, Bora Baydar, Dmitry A. Lachinov, Shuo Han, Josef Pauli, Fabian Isensee, Matthias Perkonigg, Rachana Sathish, Ronnie Rajan, Debdoot Sheet, Gurbandurdy Dovletov, Oliver Speck, Andreas Nürnberger, Klaus H. Maier-Hein, Gözde B. Akar, Gözde B. Ünal, Oguz Dicle, M. Alper Selver:
CHAOS Challenge - combined (CT-MR) healthy abdominal organ segmentation. Medical Image Anal. 69: 101950 (2021) - 2019
- [j4]Savas Özkan, Berk Kaya, Gozde Bozdagi Akar:
EndNet: Sparse AutoEncoder Network for Endmember Extraction and Hyperspectral Unmixing. IEEE Trans. Geosci. Remote. Sens. 57(1): 482-496 (2019) - 2018
- [j3]Hakan Cevikalp, Merve Elmas, Savas Özkan:
Large-scale image retrieval using transductive support vector machines. Comput. Vis. Image Underst. 173: 2-12 (2018) - 2014
- [j2]Savas Özkan, Tayfun Ates, Engin Tola, Medeni Soysal, Ersin Esen:
Performance Analysis of State-of-the-Art Representation Methods for Geographical Image Retrieval and Categorization. IEEE Geosci. Remote. Sens. Lett. 11(11): 1996-2000 (2014) - [j1]Medeni Soysal, K. Berker Logoglu, Mashar Tekin, Ersin Esen, Ahmet Saracoglu, Banu Oskay Acar, Ezgi C. Ozan, Tugrul K. Ates, Hakan Sevimli, Ayça Müge Sevinç, Ilkay Atil, Savas Özkan, Mehmet Ali Arabaci, Seda Tankiz, Talha Karadeniz, Duygu Oskay Önür, Sezin Selçuk, A. Aydin Alatan, Tolga Çiloglu:
Multimodal concept detection in broadcast media: KavTan. Multim. Tools Appl. 72(3): 2787-2832 (2014)
Conference and Workshop Papers
- 2024
- [c33]Savas Özkan, Mete Ozay, Tom Robinson:
Texture and Normal Map Estimation for 3D Face Reconstruction. ICASSP 2024: 3380-3384 - 2023
- [c32]Savas Özkan, Mete Özay, Tom Robinson:
Conceptual and Hierarchical Latent Space Decomposition for Face Editing. ICCV 2023: 7214-7223 - 2020
- [c31]Savas Özkan, Gozde Bozdagi Akar:
Exploiting Local Indexing and Deep Feature Confidence Scores for Fast Image-to-Video Search. ICPR 2020: 4926-4932 - [c30]Savas Özkan, Kadircan Becek, Alperen Inci, Basar Kütükçü, Faruk Ugurcali, Mete Can Kaya, Gözde Bozdagi Akar:
Binarized Weight Networks for Inverse Problems. SIU 2020: 1-4 - 2019
- [c29]Savas Özkan, Gozde Bozdagi Akar:
Hyperspectral Data to Relative Lidar Depth: An Inverse Problem for Remote Sensing. CVPR Workshops 2019: 956-963 - [c28]Ekin Aykut, Kadircan Becek, Baran Cengiz, Savas Özkan, Gözde B. Akar:
Effect of Visual Context Information for Super Resolution Problems. SIU 2019: 1-4 - 2018
- [c27]Savas Özkan, Akin Orkan:
Kinshipgan: Synthesizing of Kinship Faces from Family Photos by Regularizing a Deep Face Network. ICIP 2018: 2142-2146 - [c26]Savas Özkan, Gozde Bozdagi Akar:
Deep Spectral Convolution Network for Hyperspectral Unmixing. ICIP 2018: 3313-3317 - [c25]Savas Özkan, Mehmet Efendioglu, Caner Demirpolat:
Cloud Detection from RGB Color Remote Sensing Images with Deep Pyramid Networks. IGARSS 2018: 6939-6942 - [c24]Ece Selin Boncu, Savas Özkan, Gozde Bozdagi Akar:
A comparison of inpainting techniques in image reanimation. SIU 2018: 1-4 - [c23]Mehmet Efendioglu, Savas Özkan, Caner Demirpolat, Mustafa Teke, Kaan Kalkan:
Classification-based and rule-based methods for cloud detection in high resolution satellite imagery. SIU 2018: 1-4 - [c22]Savas Özkan, Gozde Bozdagi Akar:
YesilcamGAN: Automatic face translation to Yesilcam artists. SIU 2018: 1-4 - 2017
- [c21]Savas Özkan, Gozde Bozdagi Akar:
Relaxed Spatio-Temporal Deep Feature Aggregation for Real-Fake Expression Prediction. ICCV Workshops 2017: 3094-3100 - [c20]Ersin Esen, Savas Özkan:
Analysis of Turkish parliament records in terms of party coherence. SIU 2017: 1-4 - [c19]Berk Kaya, Savas Özkan, Gozde Bozdagi Akar:
Noise reduction on hyperspectral imagery using spectral unmixing and class-labels. SIU 2017: 1-4 - 2016
- [c18]Hakan Cevikalp, Merve Elmas, Savas Özkan:
Towards Category Based Large-Scale Image Retrieval Using Transductive Support Vector Machines. ECCV Workshops (1) 2016: 621-637 - [c17]Savas Özkan, Ersin Esen, Gozde Bozdagi Akar:
Feasible local content representation for image-in-video search on large-video collection. SIU 2016: 1417-1420 - [c16]Ersin Esen, Savas Özkan, Ilkay Atil:
Fast video search on recurring segments. SIU 2016: 1585-1588 - [c15]Savas Özkan, Ersin Esen, Ilkay Atil, Gozde Bozdagi Akar:
Scene nudity level detection with deep nets. SIU 2016: 2069-2072 - 2015
- [c14]Savas Özkan, Ersin Esen, Medeni Soysal, Muhammed Selim Atar:
Fingerprint recognition with geometric relation of minutiae points. SIU 2015: 875-878 - [c13]Savas Özkan, Medeni Soysal, Ersin Esen, Gozde Bozdagi Akar:
Represent, reduce, classify: The essential stages for scene recognition. SIU 2015: 1672-1675 - [c12]Ersin Esen, Savas Özkan, Ilkay Atil:
TUZ at TRECVID 2015: Video Hyperlinking Task. TRECVID 2015 - 2014
- [c11]Ersin Esen, Savas Özkan, Ilkay Atil, Mehmet Ali Arabaci, Seda Tankiz:
Detecting image communities. CBMI 2014: 1-4 - [c10]Savas Özkan, Ersin Esen, Gozde Bozdagi Akar:
Enhanced spatio-temporal video copy detection by combining trajectory and spatial consistency. ICIP 2014: 2527-2531 - [c9]Ersin Esen, Savas Özkan, Ilkay Atil, Mehmet Ali Arabaci, Seda Tankiz:
An image community detection method for hierarchical visualisation. ICME Workshops 2014: 1-6 - [c8]Savas Özkan, Ersin Esen, Gozde Bozdagi Akar:
Visual Group Binary Signature for Video Copy Detection. ICPR 2014: 3945-3950 - [c7]Savas Özkan, Tayfun Ates, Engin Tola, Medeni Soysal, Ersin Esen:
Feature encoding models for geographic image retrieval and categorization. SIU 2014: 83-86 - [c6]Savas Özkan, Ersin Esen, Gozde Bozdagi Akar:
Performance analysis of local indexing methods for video copy detection. SIU 2014: 164-167 - [c5]Ersin Esen, Savas Özkan, Ilkay Atil, Mehmet Ali Arabaci, Seda Tankiz:
Image community detection. SIU 2014: 738-741 - 2013
- [c4]Savas Özkan, Ilkay Atil, Ersin Esen, Medeni Soysal:
Video poster creation. SIU 2013: 1-4 - [c3]Savas Özkan, Ersin Esen, Gozde Bozdagi Akar:
Visual image search improved with geometric consistency. SIU 2013: 1-4 - 2012
- [c2]Savas Özkan:
Speed-up optical flow calculation using graphical processing units. SIU 2012: 1-4 - [c1]Mashar Tekin, Ahmet Saracoglu, Ersin Esen, Medeni Soysal, K. Berker Logoglu, Hakan Sevimli, Tugrul K. Ates, Ayça Müge Sevinç, Banu Oskay Acar, Ünal Zubari, Ezgi Can Ozan, Ilkay Atil, Mehmet Ali Arabaci, Seda Tankiz, Savas Özkan, Talha Karadeniz, Duygu Oskay Önür, Sezin Selçuk, Tolga Çiloglu, A. Aydin Alatan:
Multimodal concept detection on multimedia data- RTUK SKAAS KavTan system. SIU 2012: 1-4
Informal and Other Publications
- 2021
- [i13]Savas Özkan, Gozde Bozdagi Akar:
Binarized Weight Error Networks With a Transition Regularization Term. CoRR abs/2105.03897 (2021) - 2020
- [i12]A. Emre Kavur, Naciye Sinem Gezer, Mustafa Baris, Pierre-Henri Conze, Vladimir Groza, Duc Duy Pham, Soumick Chatterjee, Philipp Ernst, Savas Özkan, Bora Baydar, Dmitry A. Lachinov, Shuo Han, Josef Pauli, Fabian Isensee, Matthias Perkonigg, Rachana Sathish, Ronnie Rajan, Sinem Aslan, Debdoot Sheet, Gurbandurdy Dovletov, Oliver Speck, Andreas Nürnberger, Klaus H. Maier-Hein, Gözde B. Akar, Gözde B. Ünal, Oguz Dicle, M. Alper Selver:
CHAOS Challenge - Combined (CT-MR) Healthy Abdominal Organ Segmentation. CoRR abs/2001.06535 (2020) - [i11]Bora Baydar, Savas Özkan, A. Emre Kavur, Naciye Sinem Gezer, M. Alper Selver, Gozde Bozdagi Akar:
Cross-Domain Segmentation with Adversarial Loss and Covariate Shift for Biomedical Imaging. CoRR abs/2006.04390 (2020) - [i10]Savas Özkan, Gozde Bozdagi Akar:
Spectral Unmixing With Multinomial Mixture Kernel and Wasserstein Generative Adversarial Loss. CoRR abs/2012.06859 (2020) - 2018
- [i9]Savas Özkan, Mehmet Efendioglu, Caner Demirpolat:
Cloud Detection From RGB Color Remote Sensing Images With Deep Pyramid Networks. CoRR abs/1801.08706 (2018) - [i8]Savas Özkan, Gozde Bozdagi Akar:
Deep Spectral Convolution Network for HyperSpectral Unmixing. CoRR abs/1806.08562 (2018) - [i7]Savas Özkan, Akin Ozkan:
KinshipGAN: Synthesizing of Kinship Faces From Family Photos by Regularizing a Deep Face Network. CoRR abs/1806.08600 (2018) - [i6]Savas Özkan, Gozde Bozdagi Akar:
Late Fusion of Local Indexing and Deep Feature Scores for Fast Image-to-Video Search on Large-Scale Databases. CoRR abs/1808.01101 (2018) - [i5]Savas Özkan, Gozde Bozdagi Akar:
Improved Deep Spectral Convolution Network For Hyperspectral Unmixing With Multinomial Mixture Kernel and Endmember Uncertainty. CoRR abs/1808.01104 (2018) - [i4]Bora Baydar, Savas Özkan, Gozde Bozdagi Akar:
Automatic Liver Segmentation with Adversarial Loss and Convolutional Neural Network. CoRR abs/1811.11566 (2018) - 2017
- [i3]Savas Özkan, Berk Kaya, Ersin Esen, Gozde Bozdagi Akar:
EndNet: Sparse AutoEncoder Network for Endmember Extraction and Hyperspectral Unmixing. CoRR abs/1708.01894 (2017) - [i2]Savas Özkan, Gozde Bozdagi Akar:
Relaxed Spatio-Temporal Deep Feature Aggregation for Real-Fake Expression Prediction. CoRR abs/1708.07335 (2017) - 2016
- [i1]Ersin Esen, Savas Özkan, Ilkay Atil:
Large-Scale Video Search with Efficient Temporal Voting Structure. CoRR abs/1607.07160 (2016)
Coauthor Index
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