Multimodal AI for Human Communication

My research focuses on multimodal AI for human communication and interaction. I am particularly interested in developing data-efficient and generalizable learning methods that integrate linguistic, visual, acoustic, and motion-based behavioral signals.

My current work explores multimodal foundation models, sign language processing, and computational modeling of human communication, with broader interests in representation learning, low-resource learning, and socially intelligent AI.

News

Research

Multimodal foundation models
Integrating language, vision, motion and other behavioral signals into a single learning system instead of one modality at a time.
Sign language processing
Recognition, production, translation, and the linguistic structure that general-purpose video models tend to miss.
Data-efficient & low-resource learning
Representation learning that generalizes from little or no labelled data, for problems where annotation is scarce or impossible to collect at scale.
Socially intelligent AI
Systems that pick up on the behavioral signals underlying human interaction, not just its surface content.

Earlier work covered production machine learning systems for video surveillance.

Selected publications

Teaching

  • AIE635 Reinforcement LearningInstitute of Informatics, Hacettepe University · Spring 2025–26
  • AIE683 Machine LearningInstitute of Informatics, Hacettepe University · Spring 2025–26
  • COM4513 Special Topics I: Introduction to Computer VisionComputer Engineering, Ankara University · Fall 2024–25
  • COM3548 Pattern RecognitionComputer Engineering, Ankara University · Spring 2023–24
  • COM4523 Artificial Neural NetworksComputer Engineering, Ankara University · Fall 2023–24

Patents

  • Red light violation detection on road-facing in-car camerasY. C. Bilge et al. · 2023 003762 · registered 25.12.2025
  • A method for real-time running detection and tracking in video footageY. C. Bilge et al. · 2023 013301 · registered 21.02.2025
  • Calibration of angle measuring sensors (IMU) in portable devices using DEM and landform signatureY. C. Bilge et al. · 2023 003176 · registered 21.02.2024

Writing