Anna Rohrbach

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Max Planck Society ∙ berkeley college

Post Doctoral at University of California Berkeley

NewsCLIPpings: Automatic Generation of Out-of-Context Multimodal Media

The threat of online misinformation is hard to overestimate, with advers...
04/13/2021 ∙ by Grace Luo, et al. ∙ 0 ∙ share

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Identity-Aware Multi-Sentence Video Description

Standard video and movie description tasks abstract away from person ide...
08/22/2020 ∙ by Jae Sung Park, et al. ∙ 11 ∙ share

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

Vision-and-Language Navigation (VLN) requires grounding instructions, su...
06/02/2019 ∙ by Ronghang Hu, et al. ∙ 0 ∙ share

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Language-Conditioned Graph Networks for Relational Reasoning

Solving grounded language tasks often requires reasoning about relations...
05/10/2019 ∙ by Ronghang Hu, et al. ∙ 6 ∙ share

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Viewpoint Invariant Change Captioning

The ability to detect that something has changed in an environment is va...
01/08/2019 ∙ by Dong Huk Park, et al. ∙ 6 ∙ share

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Adversarial Inference for Multi-Sentence Video Description

While significant progress has been made in the image captioning task, v...
12/13/2018 ∙ by Jae Sung Park, et al. ∙ 14 ∙ share

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Object Hallucination in Image Captioning

Despite continuously improving performance, contemporary image captionin...
09/06/2018 ∙ by Anna Rohrbach, et al. ∙ 0 ∙ share

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Textual Explanations for Self-Driving Vehicles

Deep neural perception and control networks have become key components o...
07/30/2018 ∙ by Jinkyu Kim, et al. ∙ 2 ∙ share

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

Most machine learning methods are known to capture and exploit biases of...
07/02/2018 ∙ by Lisa Anne Hendricks, et al. ∙ 0 ∙ share

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Speaker-Follower Models for Vision-and-Language Navigation

Navigation guided by natural language instructions presents a challengin...
06/07/2018 ∙ by Daniel Fried, et al. ∙ 0 ∙ share

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Women also Snowboard: Overcoming Bias in Captioning Models

Most machine learning methods are known to capture and exploit biases of...
03/26/2018 ∙ by Kaylee Burns, et al. ∙ 0 ∙ share

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Video Object Segmentation with Language Referring Expressions

Most state-of-the-art semi-supervised video object segmentation methods ...
03/21/2018 ∙ by Anna Khoreva, et al. ∙ 0 ∙ share

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Multimodal Explanations: Justifying Decisions and Pointing to the Evidence

Deep models that are both effective and explainable are desirable in man...
02/15/2018 ∙ by Dong Huk Park, et al. ∙ 1 ∙ share

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Attentive Explanations: Justifying Decisions and Pointing to the Evidence (Extended Abstract)

Deep models are the defacto standard in visual decision problems due to ...
11/17/2017 ∙ by Dong Huk Park, et al. ∙ 0 ∙ share

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Gradient-free Policy Architecture Search and Adaptation

We develop a method for policy architecture search and adaptation via gr...
10/16/2017 ∙ by Sayna Ebrahimi, et al. ∙ 0 ∙ share

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Can you fool AI with adversarial examples on a visual Turing test?

Deep learning has achieved impressive results in many areas of Computer ...
09/25/2017 ∙ by Xiaojun Xu, et al. ∙ 0 ∙ share

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Generating Descriptions with Grounded and Co-Referenced People

Learning how to generate descriptions of images or videos received major...
04/05/2017 ∙ by Anna Rohrbach, et al. ∙ 0 ∙ share

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A dataset and exploration of models for understanding video data through fill-in-the-blank question-answering

While deep convolutional neural networks frequently approach or exceed h...
11/23/2016 ∙ by Tegan Maharaj, et al. ∙ 0 ∙ share

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Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding

Modeling textual or visual information with vector representations train...
06/06/2016 ∙ by Akira Fukui, et al. ∙ 0 ∙ share

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Movie Description

Audio Description (AD) provides linguistic descriptions of movies and al...
05/12/2016 ∙ by Anna Rohrbach, et al. ∙ 0 ∙ share

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Grounding of Textual Phrases in Images by Reconstruction

Grounding (i.e. localizing) arbitrary, free-form textual phrases in visu...
11/12/2015 ∙ by Anna Rohrbach, et al. ∙ 0 ∙ share

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The Long-Short Story of Movie Description

Generating descriptions for videos has many applications including assis...
06/04/2015 ∙ by Anna Rohrbach, et al. ∙ 0 ∙ share

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

Activity recognition has shown impressive progress in recent years. Howe...
02/23/2015 ∙ by Marcus Rohrbach, et al. ∙ 0 ∙ share

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A Dataset for Movie Description

Descriptive video service (DVS) provides linguistic descriptions of movi...
01/12/2015 ∙ by Anna Rohrbach, et al. ∙ 0 ∙ share

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Anna Rohrbach

Featured Co-authors

Trevor Darrell

Aaron Courville

Chang Liu

Bernt Schiele

Kate Saenko

Dawn Song

Hugo Larochelle

Louis-Philippe Morency

Marcus Rohrbach

Zeynep Akata

Dan Klein

NewsCLIPpings: Automatic Generation of Out-of-Context Multimodal Media

Identity-Aware Multi-Sentence Video Description

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

Language-Conditioned Graph Networks for Relational Reasoning

Viewpoint Invariant Change Captioning

Adversarial Inference for Multi-Sentence Video Description

Object Hallucination in Image Captioning

Textual Explanations for Self-Driving Vehicles

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

Speaker-Follower Models for Vision-and-Language Navigation

Women also Snowboard: Overcoming Bias in Captioning Models

Video Object Segmentation with Language Referring Expressions

Multimodal Explanations: Justifying Decisions and Pointing to the Evidence

Attentive Explanations: Justifying Decisions and Pointing to the Evidence (Extended Abstract)

Gradient-free Policy Architecture Search and Adaptation

Can you fool AI with adversarial examples on a visual Turing test?

Generating Descriptions with Grounded and Co-Referenced People

A dataset and exploration of models for understanding video data through fill-in-the-blank question-answering

Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding

Movie Description

Grounding of Textual Phrases in Images by Reconstruction

The Long-Short Story of Movie Description

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

A Dataset for Movie Description