| 日時(Date) |
May 22nd, 2026 3rd period (1:30-–3:00) |
|---|---|
| 場所(Location) | L1 |
| 司会(Chair) | Monica Perusquía-Hernández |
| 講演者(Presenter) | Prof. Hazım Kemal Ekenel |
| 題目(Title) | Human Centered Computer Vision |
| 概要(Abstract) |
Facial image analysis has long been a central problem in computer vision, aiming to automatically extract rich information about individuals, such as identity, affect, behavior, and other soft biometric traits. Beyond its traditional role in biometrics, face perception has become a key enabler of human-centered computing, supporting natural and intuitive human–computer interaction in applications ranging from security and smart environments to social robotics and multimedia understanding. In this talk, I will present an overview of research activities at the Smart Interaction and Machine Intelligence (SiMiT) Lab. While maintaining a strong focus on face perception—including face recognition under challenging conditions, facial expression analysis, and privacy-preserving techniques such as face anonymization and generation—the talk will also highlight our broader contributions to human-centered computer vision. These include multimodal and cross-domain biometrics, robust learning under real-world degradations and occlusions, and generative models for image synthesis and manipulation. Furthermore, I will discuss our recent work extending beyond faces and applications in health, assistive technologies, and intelligent environments. Across these directions, a common theme is the development of robust, adaptable, and trustworthy AI systems that operate effectively in unconstrained settings and interact seamlessly with humans. The talk will conclude with perspectives on emerging challenges, including fairness, privacy, multimodality, and the integration of generative AI into human-centered vision systems. |
| 講演言語(Language) | English |
| 講演者紹介(Introduction of Lecturer) |
Dr. Hazım Kemal Ekenel is a Visiting Professor at the Division of Engineering at New York University Abu Dhabi and a Full Professor in the Department of Computer Engineering at Istanbul Technical University. His research focuses on computer vision and machine learning, with an emphasis on face analysis, human perception, and human-centered AI. He has authored over 100 peer-reviewed publications in leading international journals, conferences, and workshops. He received his Ph.D. in Computer Science from the University of Karlsruhe (TH), Germany, where he also founded the Facial Image Processing and Analysis group at the Karlsruhe Institute of Technology. Dr. Ekenel is the recipient of several awards, including the EBF European Biometrics Research Award, the Science Academy Türkiye Young Scientist Award (BAGEP), and the IEEE Türkiye Chapter Research Award. He served as a General Chair of the IEEE International Conference on Automatic Face and Gesture Recognition (FG 2024). Google Scholar: https://scholar.google.com/citations?user=LfIDj68AAAAJ&hl=en |