Vicky Kalogeiton

Vicky Kalogeiton is a Professor in AI at École Polytechnique's Computer Science Laboratory (LIX) and leads the VISTA team. As an ELLIS member, her research focuses on multimodal generative AI with applications in medical imaging, efficient generation, and structured output modeling. She actively publishes in top venues like CVPR, ICCV, and IJCV, and supports Slow/ Open Science principles.

• PhD from University of Edinburgh and INRIA Grenoble
• Habilitation (HDR) from École Polytechnique 2024
• Hi!Paris Chaire and multiple grants (ANR, Microsoft, DIM RFSI)

Her recent work explores diffusion models for visual geolocation (Around the World in 80 Timesteps), camera motion control (AKiRa & E.T. dataset), and multimodal humor detection (FunnyNet-W). She pioneered coherence-aware training frameworks and cinematic trajectory analysis methods.

Scientific recognition includes

• CVPR 2024 Highlight paper
• ACCV 2022 Student Honorable Mention
• ICCV-W 2021 Best Paper Award
• Outstanding Reviewer Awards (CVPR, ICCV, ECCV)

She supervises current PhD candidates and has mentored numerous students across institutions like MBZUAI, Inria, and Telecom Paris. Her teaching includes Advanced Deep Learning and Computer Vision courses at École Polytechnique.