World's Best Scientists 2026 revealed!

Overview

Hazim Kemal Ekenel is affiliated with Istanbul Technical University in Turkey. Their research primarily focuses on computer science, with a substantial body of work in computer vision and pattern recognition. Other notable subfields include signal processing, artificial intelligence, biomedical engineering, and neurology.

The scientist has contributed extensively to topics such as face recognition and analysis, biometric identification and security, face and expression recognition, video surveillance and tracking methods, generative adversarial networks and image synthesis, advanced neural network applications, and image enhancement techniques.

Frequent co-authors collaborating with Hazim Kemal Ekenel include Fevziye İrem Eyiokur, Alexander Waibel, Alperen Kantarcı, Ziya Ata Yazıcı, and Doğucan Yaman.

  • arXiv (Cornell University) with 30 publications
  • Multimedia Tools and Applications with 2 publications
  • Image and Vision Computing with 2 publications
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) with 2 publications
  • 2021 6th International Conference on Computer Science and Engineering (UBMK) with 2 publications

Among recent papers authored or co-authored by Hazim Kemal Ekenel are:

  • "MOCCA: Multilayer One-Class Classification for Anomaly Detection," 2021, IEEE Transactions on Neural Networks and Learning Systems
  • "Unconstrained face mask and face-hand interaction datasets: building a computer vision system to help prevent the transmission of COVID-19," 2022, Signal Image and Video Processing
  • "Multimodal soft biometrics: combining ear and face biometrics for age and gender classification," 2021, Multimedia Tools and Applications
  • "A survey on computer vision based human analysis in the COVID-19 era," 2022, Image and Vision Computing
  • "GLIMS: Attention-guided lightweight multi-scale hybrid network for volumetric semantic segmentation," 2024, Image and Vision Computing

Best Publications

  • Cycle-Dehaze: Enhanced CycleGAN for Single Image Dehazing

    Deniz Engin;Anil Genc;Hazim Kemal Ekenel

  • Multiresolution face recognition

    Hazim Kemal Ekenel;Bülent Sankur

  • FUNSD: A Dataset for Form Understanding in Noisy Scanned Documents

    Guillaume Jaume;Hazim Kemal Ekenel;Jean-Philippe Thiran

  • Local appearance based face recognition using discrete cosine transform

    Hazim Kemal Ekenel;Rainer Stiefelhagen

  • Video-based Face Recognition on Real-World Data

    J. Stallkamp;H.K. Ekenel;R. Stiefelhagen

  • Enabling Multimodal Human–Robot Interaction for the Karlsruhe Humanoid Robot

    R. Stiefelhagen;H.K. Ekenel;C. Fugen;P. Gieselmann

  • Strengths and weaknesses of deep learning models for face recognition against image degradations

    Klemen Grm;Vitomir Struc;Anais Artiges;Matthieu Caron

  • A Comprehensive Analysis of Deep Learning Based Representation for Face Recognition

    Mostafa Mehdipour Ghazi;Hazim Kemal Ekenel

  • How Image Degradations Affect Deep CNN-Based Face Recognition?

    Samil Karahan;Merve Kilinc Yildirum;Kadir Kirtac;Ferhat Sukru Rende

  • Feature selection in the independent component subspace for face recognition

    Hazim Kemal Ekenel;Bülent Sankur

  • Analysis of Local Appearance-Based Face Recognition: Effects of Feature Selection and Feature Normalization

    H.K. Ekenel;R. Stiefelhagen

  • SROBB: Targeted Perceptual Loss for Single Image Super-Resolution

    Mohammad Saeed Rad;Behzad Bozorgtabar;Urs-Viktor Marti;Max Basler

  • How Transferable Are CNN-Based Features for Age and Gender Classification?

    Gokhan Ozbulak;Yusuf Aytar;Hazim Kemal Ekenel

  • Why Is Facial Occlusion a Challenging Problem

    Hazım Kemal Ekenel;Rainer Stiefelhagen

  • Domain adaptation for ear recognition using deep convolutional neural networks

    Fevziye Irem Eyiokur;Dogucan Yaman;Hazım Kemal Ekenel

  • Vision-based Fight Detection from Surveillance Cameras

    Seymanur Akti;Gozde Ayse Tataroglu;Hazim Kemal Ekenel

  • Multi-pose Face Recognition for Person Retrieval in Camera Networks

    Martin Bauml;Keni Bernardin;Mika Fischer;Haz m Kemal Ekenel

  • Pose Normalization for Local Appearance-Based Face Recognition

    Hua Gao;Hazım Kemal Ekenel;Rainer Stiefelhagen

  • Kalman filters for audio-video source localization

    T. Gehrig;K. Nickel;H.K. Ekenel;U. Klee

  • The unconstrained ear recognition challenge

    Ziga Emersic;Dejan Stepec;Vitomir Struc;Peter Peer

Frequent Co-Authors

Rainer Stiefelhagen
Rainer Stiefelhagen Karlsruhe Institute of Technology
Jean-Philippe Thiran
Jean-Philippe Thiran École Polytechnique Fédérale de Lausanne
Alex Waibel
Alex Waibel Carnegie Mellon University
Hakan Erdogan
Hakan Erdogan Google (United States)
Lale Akarun
Lale Akarun Boğaziçi University
Bulent Sankur
Bulent Sankur Boğaziçi University
Sudeep Sarkar
Sudeep Sarkar University of South Florida
Laurent Besacier
Laurent Besacier Grenoble Alpes University
Hervé Jégou
Hervé Jégou Facebook (United States)
Terrance E. Boult
Terrance E. Boult University of Colorado Colorado Springs

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Pursuing Computer Science in the USA opens a wide array of educational and career opportunities. Many students choose to expand their skills by exploring most useful masters degrees tailored to high-demand tech industries, such as data science or cybersecurity. A master's can boost career prospects and earning potential, but starting with a foundational qualification is also a strong pathway.

For those looking for a quicker, more flexible start, an online associate degree in computer science is a practical choice. These programs are especially suitable for working adults or recent high school graduates seeking entry-level tech roles.

Cost is a major concern for many learners. Fortunately, there are affordable online degree programs available, making it easier to earn a recognized qualification without the heavy financial burden.

Admission requirements vary, and some institutions offer options for those with less-than-perfect academic records. You can explore online graduate programs that accept 2.0 gpa, providing access to further study and career development despite previous GPA challenges.

Best Scientists Citing Hazim Kemal Ekenel

Trending Scientists