Bio

I am a first-year PhD student at Computer Vision and Machine Learning department at Max Planck Institute for Informatics supervised by Prof. Bernt Schiele. My research interests focus on video understanding including unsupervised and semi-supervised learning of efficient representations using multiple modalities.

Previously, I spent half a year at WILLOW team in Inria Paris working on my master thesis on multi-modal understanding of social human behavior from movies under the supervision of Makarand Tapaswi and Ivan Laptev. During my master study at Uni Bonn, I was working as a research assistant on unsupervised video segmentation project at the Computer Vision Group under the supervision of Hilde Kuehne and Prof. Jürgen Gall.

Interests

  • Video Understanding
  • Zero- Few-Shot Learning
  • Multi-modal Learning

Education

  • MSc in Computer Science, 01/2020

    Bonn University, Germany

  • BSc in Computer Science, 06/2017

    Lomonosov Moscow State University, Russia

Activities

Experience

 
 
 
 
 

PhD student

MPII

Feb 2020 – Present Saarbrücken, Germany
Topic: video understanding, few-shot learning. Supervised by Bernt Schiele.
 
 
 
 
 

Research Intern

Inria

May 2019 – Nov 2019 Paris, France
Project: Learning Interactions and Relationships between Movie Characters. Supervised by Makarand Tapaswi and Ivan Laptev.
 
 
 
 
 

Research Assistant

University of Bonn

Apr 2018 – Apr 2019 Bonn, Germany
Project: Unsupervised learning of action classes with continuous temporal embedding. Supervised by Hilde Kuehne and Jürgen Gall.

Contact

  • akukleva@mpi-inf.mpg.de
  • Max-Planck-Institut für Informatik, Saarland Informatics Campus, Campus E1 4, Saarbrücken, 66123
  • E1 4 - Room 627