I am a Postdoctoral Scholar at UC Berkeley, working with Prof. Trevor Darrell. I have completed my PhD at Max Planck Institute for Informatics under supervision of Prof. Bernt Schiele. My research is at the intersection of vision and language. I am interested in a variety of tasks, including image and video description, visual grounding, visual question answering, etc. Recently, I am focusing on building explainable models and addressing bias in existing vision and language models.

My old MPII homepage is here.

You can reach me via firstname.lastname at berkeley.edu

News

• A short paper accepted to ACL 2019.
• I am co-organizing the 3rd Workshop on Closing the Loop Between Vision and Language and The Large Scale Movie Description Challenge (CLVL & LSMDC), at ICCV 2019.
• 1 paper accepted to CVPR 2019 for an Oral presentation.
• I am happy to co-organize the Workshop on Fairness Accountability Transparency and Ethics in Computer Vision (at CVPR 2019).
• 1 paper accepted to ACCV 2018.
• 1 paper accepted to NeurIPS 2018.
• 1 paper accepted to EMNLP 2018.
• 2 papers accepted to ECCV 2018.
• 2 papers accepted to CVPR 2018, including one spotlight.
• I am honored to be a recipient of Otto Hahn Medal for 2017.

Technical Reports

• Language-Conditioned Graph Networks for Relational Reasoning.
  Ronghang Hu, Anna Rohrbach, Trevor Darrell, Kate Saenko.
• Robust Change Captioning.
  Dong Huk Park, Trevor Darrell, Anna Rohrbach.

Selected Publications

• Are You Looking? Grounding to Multiple Modalities in Vision-and-Language Navigation.
  Ronghang Hu, Daniel Fried, Anna Rohrbach, Dan Klein, Trevor Darrell, Kate Saenko
  ACL 2019.
• Adversarial Inference for Multi-Sentence Video Description.
  Jae Sung Park, Marcus Rohrbach, Trevor Darrell, Anna Rohrbach.
  CVPR 2019, Oral.
• Speaker-Follower Models for Vision-and-Language Navigation.
  Daniel Fried*, Ronghang Hu*, Volkan Cirik*, Anna Rohrbach, Jacob Andreas, Louis-Philippe Morency, Taylor Berg-Kirkpatrick, Kate Saenko, Dan Klein**, and Trevor Darrell**.
  NeurIPS 2018, *, ** indicate equal contribution.
• Video Object Segmentation with Language Referring Expressions.
  Anna Khoreva, Anna Rohrbach, and Bernt Schiele.
  ACCV 2018.
• Object Hallucination in Image Captioning.
  Anna Rohrbach*, Lisa Anne Hendricks*, Kaylee Burns, Trevor Darrell, and Kate Saenko.
  EMNLP 2018, * indicates equal contribution.
• Women also Snowboard: Overcoming Bias in Captioning Models.
  Lisa Anne Hendricks*, Kaylee Burns*, Kate Saenko, Trevor Darrell, Anna Rohrbach.
  ECCV 2018, * indicates equal contribution.
• Textual Explanations for Self-Driving Vehicles.
  Jinkyu Kim, Anna Rohrbach, Trevor Darrell, John Canny, and Zeynep Akata.
  ECCV 2018.
• Multimodal Explanations: Justifying Decisions and Pointing to the Evidence.
  Dong Huk Park, Lisa Anne Hendricks, Zeynep Akata, Anna Rohrbach, Bernt Schiele, Trevor Darrell, and Marcus Rohrbach.
  CVPR 2018, Spotlight.
• Fooling Vision and Language Models Despite Localization and Attention Mechanisms.
  Xiaojun Xu, Xinyun Chen, Chang Liu, Anna Rohrbach, Trevor Darrell, and Dawn Song.
  CVPR 2018.
• Generating Descriptions with Grounded and Co-Referenced People.
  Anna Rohrbach, Marcus Rohrbach, Siyu Tang, Seong Joon Oh, and Bernt Schiele.
  CVPR 2017.
• Grounding of Textual Phrases in Images by Reconstruction.
  Anna Rohrbach, Marcus Rohrbach, Ronghang Hu, Trevor Darrell, and Bernt Schiele.
  ECCV 2016, Oral.
• Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding.
  Akira Fukui*, Dong Huk Park*, Daylen Yang*, Anna Rohrbach*, Trevor Darrell, and Marcus Rohrbach.
  EMNLP 2016, * indicates equal contribution.
• A Dataset for Movie Description.
  Anna Rohrbach, Marcus Rohrbach, Niket Tandon, and Bernt Schiele.
  CVPR 2015.

The complete list of publications is available on my Google Scholar profile.