Bill Psomas

Marie Skłodowska-Curie Postdoctoral Fellow · Visual Recognition Group, CTU in Prague

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Building G, Room 10

Karlovo náměstí 13

120 00 Nové Město, Prague

I am a postdoctoral researcher in Computer Vision and Machine Learning working at the Visual Recognition Group of Czech Technical University in Prague. I was recently awarded the MSCA Postdoctoral Fellowship 2024 for my project Retrieval-Augmented VIsion-Language Models for Open-vocabulary LocalizatIon (RAVIOLI).

I received my Ph.D. in September 2024 from the National Technical University of Athens (NTUA), where I defended my dissertation, Learning Visual and Multimodal Representations, under the supervision of Konstantinos Karantzalos and Yannis Avrithis.

I have gained research experience through internships at leading institutes such as Inria Rennes, Institute of Advanced Research in Artificial Intelligence (IARAI), and Athena Research Center. I have published 8 papers in A* venues including CVPR, ICCV, ECCV, ICLR, and NeurIPS, in addition to journal and workshop publications. Beyond research, I contribute to the academic community through reviewing, teaching, workshop organization, and student supervision.

news

selected publications

  1. REGLUE Your Latents with Global and Local Semantics for Entangled Diffusion
    Giorgos Petsangourakis, Christos Sgouropoulos, Bill Psomas, and 3 more authors
    In European Conference on Computer Vision, 2026
  2. Retrieve and Segment: Are a Few Examples Enough to Bridge the Supervision Gap in Open-Vocabulary Segmentation?
    Tilemachos Aravanis, Vladan Stojnić, Bill Psomas, and 2 more authors
    In Conference on Computer Vision and Pattern Recognition, 2026
  3. Attention, Please! Revisiting Attentive Probing Through the Lens of Efficiency
    Bill Psomas, Dionysis Christopoulos, Eirini Baltzi, and 6 more authors
    In International Conference on Learning Representations, 2026
  4. Instance-Level Composed Image Retrieval
    Bill Psomas, George Retsinas, Nikos Efthymiadis, and 5 more authors
    In Advances in Neural Information Processing Systems, 2025
  5. Keep It SimPool: Who Said Supervised Transformers Suffer from Attention Deficit?
    Bill Psomas, Ioannis Kakogeorgiou, Konstantinos Karantzalos, and 1 more author
    In International Conference on Computer Vision, 2023
  6. It Takes Two to Tango: Mixup for Deep Metric Learning
    Shashanka Venkataramanan, Bill Psomas, Ewa Kijak, and 3 more authors
    In International Conference on Learning Representations, 2022
  7. What to Hide from Your Students: Attention-Guided Masked Image Modeling
    Ioannis Kakogeorgiou, Spyros Gidaris, Bill Psomas, and 4 more authors
    In European Conference on Computer Vision, 2022