İpek Baz

Title:

Assistant Prof. Dr.

Department:

Electrical & Electronics Engineering Department

Position:

Vice Chair

Email:

ipek.baz@yeditepe.edu.tr

Telephone:

0 216 578 14 37

Office:

A-610

Time:

Full Time

Akademik

Resume

Research Interest:

Computer vision
Image processing
Pattern recognition
Machine learning
Deep learning
Statistical Signal Processing

Biography:

B.Sc.: Elektronik Mühendisliği, Sabancı Üniversitesi, İstanbul, Türkiye, 2011

M.Sc.:Elektrik ve Elektronik Mühendisliği, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, 2013

Ph.D.: Elektronik Mühendisliği, Sabancı Üniversitesi, İstanbul, Türkiye, 2019

Projects:

Dijital Patoloji Projesi, Görüntü işleme algoritmaları ve derin öğrenme yöntemleri ile otomatik pataloji raporlarının oluşturulması. TÜBİTAK BİLGEM (2020-2021)
Dron Tespit ve Takip Projesi , Video üzerinden dron ve belirlenen diğer nesnelerin gerçek zamanlı otomatik tespiti, konumlarının belirlenmesi ve sınıflandırılması, TÜBİTAK BİLGEM (2019-2021)
Dijital Adli Bilişim Projesi, Adli dokümanların üç boyutlu yüzey topoğrafyasını modellenmesi, TÜBİTAK BİLGEM (2019-2020)
Perakende ürünlerinin bilgisayarla görme ve makina öğrenmesi yöntemleriyle sınıflandırılması, Vispera A.Ş. - Sabancı Üniversitesi, (2014-2019)
Donanım odaklı çoklu kamera rektifikasyon algoritması ve derinlik hesaplama algoritması geliştirme, Immersive Vision Technologies Company, Lausanne, İsviçre (2012-2013).

Courses Given

Introduction to Digital Signal Processing

Publications

Journals:

Baz, I., Yoruk, E., & Cetin, M. (2019). Context-Aware Confidence Sets for Fine-Grained Product Recognition. IEEE Access, 7, 76376-76393.
Akin, A., Baz, I., Schmid, A., & Leblebici, Y. (2014). Dynamically adaptive real-time disparity estimation hardware using iterative refinement. Integration, 47(3), 365-376.

Conference Papers:

A. AKIN, I. BAZ, B. ATAKAN, I. BOYBAT, A. SCHMID & Y. LEBLEBICI, A hardwareoriented dynamically adaptive disparity estimation algorithm and its real-time hardware. , Sözlü Sunum, Great Lakes Symposium on VLSI 2013 , 02 Mayıs 2013, 04 Mayıs 2013, 155 - 160.
A. AKIN, I. BAZ, L. M. GAEMPERLE, A. SCHMID & Y. LEBLEBICI, Compressed lookup-table based real-time rectification hardware., Sözlü Sunum, 21st IEEE/IFIP International Conference on VLSI and System-on-Chip, 07 Ekim 2013, 09 Ekim 2013, 272 - 277.
K. A. YÜKSEL, I. BAZ & H. ÖZDUMAN, Using Electromagnetic Input for Multi-User or Two- Handed Spatial Gestural Interaction based on the Digital Compass., Sözlü Sunum, International Conference on Human-Computer Interaction with Mobile Devices and Services, 24 Agustos 2015, 27 Agustos 2015, 420 - 426.
A. AKIN, R. CAPOCCIA, J. NARINX, I. BAZ, A. SCHMID & Y. LEBLEBICI, Trinocular adaptive window size disparity estimation algorithm and its real-time hardware, Sözlü Sunum, VLSI Design, Automation and Test, 27 Nisan 2015, 29 Nisan 2015, 1 - 4.
I. BAZ & E. YÖRÜK, Context-aware hybrid classification system for fine-grained retail product recognition, Sözlü Sunum, Image, Video, and Multidimensional Signal Processing Workshop, 11 Temmuz 2016, 12 Temmuz 2016, 1 - 5.
O. B. SATIR, I. BAZ, E. ERDIL & M. ÇETIN, On comparison of different classification techniques for the fine-grained retail product recognition problem., Sözlü Sunum, Signal Processing and Communications Applications Conference, 15 Mayıs 2017, 18 Mayıs 2017, 1 - 4.
I. BAZ, E. YÖRÜK & M. ÇETIN, Retail product recognition with a graphical shelf model. , Sözlü Sunum, Signal Processing and Communications Applications Conference, 15 Mayıs 2017, 18 Mayıs 2017
I. BAZ, C. KILIÇ, “3D Modeling Of A Document Surface Topography With A Photometric Stereo Method “, IEEE Conference on Signal Processing, Communications, and their Applications, 2020.

Patents:

Abdulkadir, A. K. I. N., Leblebici, Y., Schmid, A., Ipek, B. A. Z., Boybat, I., & Atakan, H. B. (2017). U.S. Patent No. 9,756,312. Washington, DC: U.S. Patent and Trademark Office.

Search form

İpek Baz

Akademik