PhD Student in Computer Vision, LIRIS (IMAGINE Team), Université Lumière Lyon 2

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Lyon, France

Email: atokibunmi@gmail.com

Phone: +33 7 81 74 32 99

Bolutife Atoki is a PhD student in Computer Vision at Université Lumière Lyon 2 (LIRIS) and a computer vision engineer focused on building robust visual perception systems. His work spans segmentation, detection, generative modeling, and multimodal learning, with research published at WACV 2026 and EUVIP 2024. He develops end-to-end vision pipelines for real-world R&D applications, from model design to evaluation and deployment-oriented analysis.

Research interests:

  • Computer Vision
  • Generative Modeling
  • AI for image understanding
  • Security and forensics-oriented vision systems
  • Applied industrial R&D in vision

I am open to collaborations and R&D opportunities in computer vision across research and industry.

selected publications

  1. Object Segmentation in the Wild with Foundation Models: Application to Vision Assisted Neuro-Prostheses for Upper Limbs
    Bolutife Atoki, Jenny Benois-Pineau, Fabien Baldacci, and 1 more author
    In 2024 13th European Workshop on Visual Information Processing (EUVIP), 2024
  2. Diffusion-Based Authentication of Copy Detection Patterns: A Multimodal Framework with Printer Signature Conditioning
    Bolutife Atoki, Iuliia Tkachenko, Bertrand Kerautret, and 1 more author
    In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2026