World's Best Scientists 2026 revealed!

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Computer Science

D-Index
51
Citations
20017
World Ranking
5207
National Ranking
241

Overview

Zeynep Akata is affiliated with the University of Tübingen in Germany. Their research primarily falls within the field of Computer Science, with a strong focus on subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Signal Processing, and Molecular Biology.

The scientist's work covers a range of topics that include:

  • Domain Adaptation and Few-Shot Learning
  • Multimodal Machine Learning Applications
  • Advanced Neural Network Applications
  • Advanced Image and Video Retrieval Techniques
  • Topic Modeling
  • COVID-19 diagnosis using AI
  • Explainable Artificial Intelligence (XAI)

Among the notable recent papers authored by Zeynep Akata are:

  • Computer Vision and Pattern Recognition 2020, 2021, published in International Journal of Computer Vision
  • A Research Agenda for Hybrid Intelligence: Augmenting Human Intellect With Collaborative, Adaptive, Responsible, and Explainable Artificial Intelligence, 2020, published in Computer

The scientist also contributed to several other works including surveys and studies on semi-supervised and unsupervised deep learning, learning robust representations, and graph embeddings for zero-shot learning, published mainly in venues like IEEE Transactions on Pattern Analysis and Machine Intelligence and arXiv.

Zeynep Akata frequently publishes in the following venues:

  • arXiv (Cornell University)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  • Lecture notes in computer science

Collaboration is a significant aspect of the scientist's research, as indicated by frequent co-authors such as Massimiliano Mancini, A. Sophia Koepke, Karsten Roth, Yongqin Xian, and Stephan Alaniz.

In addition to articles, the scientist has published a book titled Pattern Recognition in 2021 through Springer Science+Business Media.

Best Publications

  • Generative adversarial text to image synthesis

    Scott Reed;Zeynep Akata;Xinchen Yan;Lajanugen Logeswaran

  • Zero-Shot Learning—A Comprehensive Evaluation of the Good, the Bad and the Ugly

    Yongqin Xian;Christoph H. Lampert;Bernt Schiele;Zeynep Akata

  • Evaluation of output embeddings for fine-grained image classification

    Zeynep Akata;Scott Reed;Daniel Walter;Honglak Lee

  • Feature Generating Networks for Zero-Shot Learning

    Yongqin Xian;Tobias Lorenz;Bernt Schiele;Zeynep Akata

  • Learning Deep Representations of Fine-Grained Visual Descriptions

    Scott Reed;Zeynep Akata;Honglak Lee;Bernt Schiele

  • Label-Embedding for Image Classification

    Zeynep Akata;Florent Perronnin;Zaid Harchaoui;Cordelia Schmid

  • Zero-Shot Learning — The Good, the Bad and the Ugly

    Yongqin Xian;Bernt Schiele;Zeynep Akata

  • Label-Embedding for Attribute-Based Classification

    Zeynep Akata;Florent Perronnin;Zaid Harchaoui;Cordelia Schmid

  • Latent Embeddings for Zero-Shot Classification

    Yongqin Xian;Zeynep Akata;Gaurav Sharma;Quynh Nguyen

  • Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders

    Edgar Schonfeld;Sayna Ebrahimi;Samarth Sinha;Trevor Darrell

  • Generating Visual Explanations

    Lisa Anne Hendricks;Zeynep Akata;Marcus Rohrbach;Marcus Rohrbach;Jeff Donahue

  • F-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning

    Yongqin Xian;Saurabh Sharma;Bernt Schiele;Zeynep Akata

  • Learning what and where to draw

    Scott Reed;Zeynep Akata;Santosh Mohan;Samuel Tenka

  • Multimodal Explanations: Justifying Decisions and Pointing to the Evidence

    Dong Huk Park;Lisa Anne Hendricks;Zeynep Akata;Anna Rohrbach

  • A Research Agenda for Hybrid Intelligence: Augmenting Human Intellect With Collaborative, Adaptive, Responsible, and Explainable Artificial Intelligence

    Zeynep Akata;Dan Balliet;Maarten de Rijke;Frank Dignum

  • Textual Explanations for Self-Driving Vehicles

    Jinkyu Kim;Anna Rohrbach;Trevor Darrell;John F. Canny

  • Explainable AI: The new 42?

    Randy Goebel;Ajay Chander;Katharina Holzinger;Freddy Lecue

  • Computer Vision and Pattern Recognition 2020

    Zeynep Akata;Andreas Geiger;Torsten Sattler

  • Learning Deep Representations of Fine-grained Visual Descriptions

    Scott Reed;Zeynep Akata;Bernt Schiele;Honglak Lee

  • Exploiting Saliency for Object Segmentation from Image Level Labels

    Seong Joon Oh;Rodrigo Benenson;Anna Khoreva;Zeynep Akata

  • Learning Robust Representations via Multi-View Information Bottleneck

    Marco Federici;Anjan Dutta;Patrick Forré;Nate Kushman

  • Zero-Shot Learning with Structured Embeddings

    Zeynep Akata;Honglak Lee;Bernt Schiele

Frequent Co-Authors

Bernt Schiele
Bernt Schiele Max Planck Institute for Informatics
Trevor Darrell
Trevor Darrell University of California, Berkeley
Cordelia Schmid
Cordelia Schmid French Institute for Research in Computer Science and Automation - INRIA
Honglak Lee
Honglak Lee University of Michigan–Ann Arbor
Barbara Caputo
Barbara Caputo Polytechnic University of Turin
Marcus Rohrbach
Marcus Rohrbach Facebook (United States)
Max Welling
Max Welling University of Amsterdam
Anna Rohrbach
Anna Rohrbach Technical University of Darmstadt
Zaid Harchaoui
Zaid Harchaoui University of Washington

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