Nedko Savov

Computer Vision / Machine Learning Specialist

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I am a PhD student at INSAIT, Sofia University, supervised by Luc Van Gool.

Broadly speaking, I am interested in teaching computers to understand and generate visual worlds — from videos to interactive environments.

My current research involves vision-based generative modeling with an emphasis on control and interaction. I am interested in world models, controllable video synthesis/editing and data-driven simulators generalizing across many environments.

In the past, I have extensively worked on face analysis and synthesis topics - including deepfake generation and detection, age and expression estimation, face relighting, etc. I have also provided supervision for UvA Master AI students for their computer vision Master’s thesis projects.

Previously, I finished the Artificial Intelligence Master’s at the University of Amsterdam with honors, and a Computer Science Bachelor’s degree at Sofia University, Bulgaria at the top of the class.

selected publications

  1. Exploration-Driven Generative Interactive Environments
    Nedko Savov, Naser Kazemi, Mohammad Mahdi, and 3 more authors
    CVPR, 2025
  2. Leveraging Driver Field-of-View for Multimodal Ego-Trajectory Prediction
    M Eren Akbiyik, Nedko Savov, Danda Pani Paudel, and 5 more authors
    In The Thirteenth International Conference on Learning Representations, 2025
  3. Learning Generative Interactive Environments By Trained Agent Exploration
    Naser Kazemi, Nedko Savov, Danda Pani Paudel, and 1 more author
    In NeurIPS 2024 Workshop on Data-driven and Differentiable Simulations, Surrogates, and Solvers, 2024
  4. Spatio-temporal Features for Generalized Detection of Deepfake Videos
    Ipek Ganiyusufoglu, L Minh Ngô, Nedko Savov, and 2 more authors
    arXiv preprint arXiv:2010.11844, 2020
  5. Pose and expression robust age estimation via 3D face reconstruction from a single image
    Nedko Savov, Minh Ngô, Sezer Karaoglu, and 2 more authors
    In Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2019