World's Best Scientists 2026 revealed!
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2025

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Rising Stars

D-Index
37
Citations
8150
World Ranking
749
National Ranking
23

Computer Science

D-Index
31
Citations
7245
World Ranking
13379
National Ranking
641

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Anna Rohrbach is affiliated with the Technical University of Darmstadt in Germany. Their research focuses primarily on computer science, with extensive work in computer vision and pattern recognition, artificial intelligence, sociology and political science, computer graphics and computer-aided design, and infectious diseases.

The scientist's published work addresses a variety of topics including:

  • Multimodal Machine Learning Applications
  • Domain Adaptation and Few-Shot Learning
  • Advanced Image and Video Retrieval Techniques
  • Human Pose and Action Recognition
  • Video Analysis and Summarization
  • Generative Adversarial Networks and Image Synthesis
  • Advanced Neural Network Applications

Anna Rohrbach has contributed to numerous research publications, with frequent appearances in the following venues:

  • arXiv (Cornell University)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • Applied AI Letters
  • Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

The scientist has published notable papers including:

  • "More Control for Free! Image Synthesis with Semantic Diffusion Guidance," 2023, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • "How Much Can CLIP Benefit Vision-and-Language Tasks?" 2021, arXiv (Cornell University)
  • "DETReg: Unsupervised Pretraining with Region Priors for Object Detection," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "ReCLIP: A Strong Zero-Shot Baseline for Referring Expression Comprehension," 2022, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • "Object-Region Video Transformers," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Frequent coauthors in their research collaborations include:

  • Trevor Darrell
  • Amir Bar
  • Roei Herzig
  • Amir Globerson
  • Gal Chechik

Best Publications

  • Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding

    Akira Fukui;Dong Huk Park;Daylen Yang;Anna Rohrbach

  • Grounding of Textual Phrases in Images by Reconstruction

    Anna Rohrbach;Marcus Rohrbach;Marcus Rohrbach;Ronghang Hu;Trevor Darrell

  • A dataset for Movie Description

    Anna Rohrbach;Marcus Rohrbach;Niket Tandon;Bernt Schiele

  • Multimodal Explanations: Justifying Decisions and Pointing to the Evidence

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

  • Women Also Snowboard: Overcoming Bias in Captioning Models

    Lisa Anne Hendricks;Kaylee Burns;Kate Saenko;Trevor Darrell

  • Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding

    Akira Fukui;Dong Huk Park;Daylen Yang;Anna Rohrbach

  • Speaker-Follower Models for Vision-and-Language Navigation

    Daniel Fried;Ronghang Hu;Volkan Cirik;Anna Rohrbach

  • Movie Description

    Anna Rohrbach;Atousa Torabi;Marcus Rohrbach;Niket Tandon

  • Textual Explanations for Self-Driving Vehicles

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

  • More Control for Free! Image Synthesis with Semantic Diffusion Guidance

    Unknown

  • Object Hallucination in Image Captioning

    Anna Rohrbach;Lisa Anne Hendricks;Kaylee Burns;Trevor Darrell

  • Coherent Multi-sentence Video Description with Variable Level of Detail

    Anna Rohrbach;Marcus Rohrbach;Marcus Rohrbach;Wei Qiu;Wei Qiu;Annemarie Friedrich

  • Women also Snowboard: Overcoming Bias in Captioning Models

    Kaylee Burns;Lisa Anne Hendricks;Kate Saenko;Trevor Darrell

  • Language-Conditioned Graph Networks for Relational Reasoning

    Ronghang Hu;Anna Rohrbach;Trevor Darrell;Kate Saenko

  • Speaker-Follower Models for Vision-and-Language Navigation

    Daniel Fried;Ronghang Hu;Volkan Cirik;Anna Rohrbach

  • The Long-Short Story of Movie Description

    Anna Rohrbach;Marcus Rohrbach;Bernt Schiele

  • Recognizing Fine-Grained and Composite Activities Using Hand-Centric Features and Script Data

    Marcus Rohrbach;Anna Rohrbach;Michaela Regneri;Sikandar Amin

  • How Much Can CLIP Benefit Vision-and-Language Tasks?

    Sheng Shen;Liunian Harold Li;Hao Tan;Mohit Bansal

  • Robust Change Captioning

    Dong Huk Park;Trevor Darrell;Anna Rohrbach

  • DETReg: Unsupervised Pretraining with Region Priors for Object Detection

    Amir Bar;Xin Wang;Vadim Kantorov;Colorado J. Reed

  • Video Object Segmentation with Language Referring Expressions

    Anna Khoreva;Anna Rohrbach;Bernt Schiele

  • ReCLIP: A Strong Zero-Shot Baseline for Referring Expression Comprehension

    Unknown

  • A Dataset and Exploration of Models for Understanding Video Data through Fill-in-the-Blank Question-Answering

    Tegan Maharaj;Nicolas Ballas;Anna Rohrbach;Aaron Courville

  • K-LITE: Learning Transferable Visual Models with External Knowledge

    Unknown

  • Multimodal Explanations: Justifying Decisions and Pointing to the Evidence

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

  • Are You Looking? Grounding to Multiple Modalities in Vision-and-Language Navigation

    Ronghang Hu;Daniel Fried;Anna Rohrbach;Dan Klein

  • Women also Snowboard: Overcoming Bias in Captioning Models (Extended Abstract)

    Lisa Anne Hendricks;Kaylee Burns;Kate Saenko;Trevor Darrell

Frequent Co-Authors

Trevor Darrell
Trevor Darrell University of California, Berkeley
Marcus Rohrbach
Marcus Rohrbach Facebook (United States)
Bernt Schiele
Bernt Schiele Max Planck Institute for Informatics
Kate Saenko
Kate Saenko Boston University
Zeynep Akata
Zeynep Akata University of Tübingen
Gal Chechik
Gal Chechik Bar-Ilan University
Chris Pal
Chris Pal Polytechnique Montréal
John Canny
John Canny University of California, Berkeley
Amir Globerson
Amir Globerson Tel Aviv University
Daniel Klein
Daniel Klein University of California, Berkeley

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