Anna Kukleva
Scholar

Anna Kukleva

Google Scholar ID: eLZ_clAAAAAJ
Max Planck Institute for Informatics
Computer VisionAction RecognitionVideo Understanding
Citations & Impact
All-time
Citations
817
 
H-index
12
 
i10-index
12
 
Publications
20
 
Co-authors
37
list available
Resume (English only)
Academic Achievements
  • Honored with the Otto-Hahn-Medal for an outstanding PhD thesis; served as Area Chair for multiple international conferences such as WACV 2026, NeurIPS 2025, etc.; published multiple papers at top-tier conferences like CVPR 2025, ECCV 2024, etc.; organized several workshops including NextVid (NeurIPS 2025) and What is Next in Multimodal Foundation Models? (CVPR 2025).
Research Experience
  • Conducted doctoral research at Max Planck Institute for Informatics, collaborating closely with Hilde Kuehne (Tuebingen AI Center) and Christian Rupprecht (Oxford); interned at Meta FAIR and FRL labs, working with Fadime Sener in the Nimble XR Input team at FRL; worked with Makarand Tapaswi and Ivan Laptev on multi-modal understanding of social human behavior in the WILLOW team at Inria Paris.
Education
  • Received a PhD from the Computer Vision and Machine Learning department at Max Planck Institute for Informatics, supervised by Bernt Schiele; worked in Jürgen Gall's lab at Uni Bonn during her master's.
Background
  • Postdoctoral researcher in the field of computer vision and machine learning. Research interests include image and multi-modal video recognition, with a specific interest in learning representations through self-supervised, semi-supervised, and occasionally fully-supervised methods, and exploring the transferability of these methods to few-shot and open-set generalization scenarios.
Miscellany
  • Personal interests and other information not mentioned.