activity
20142025
most citedA Dataset for Movie Description

53 citations · 134 across the 8 of their papers we have counts for

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7 papers · 1 filter

cs.CV20231 cited

Simple Token-Level Confidence Improves Caption Correctness

Suzanne Petryk, Spencer Whitehead, Joseph E. Gonzalez +3

The ability to judge whether a caption correctly describes an image is a critical part of vision-language understanding. However, state-of-the-art models often misinterpret the cor…

cs.CV20222 cited

Learn2Augment: Learning to Composite Videos for Data Augmentation in Action Recognition

Shreyank N Gowda, Marcus Rohrbach, Frank Keller +1

We address the problem of data augmentation for video action recognition. Standard augmentation strategies in video are hand-designed and sample the space of possible augmented dat…

cs.CV202136 cited

FLAVA: A Foundational Language And Vision Alignment Model

Amanpreet Singh, Ronghang Hu, Vedanuj Goswami +4

State-of-the-art vision and vision-and-language models rely on large-scale visio-linguistic pretraining for obtaining good performance on a variety of downstream tasks. Generally,…

cs.CV201621 cited

Modeling Relationships in Referential Expressions with Compositional Modular Networks

Ronghang Hu, Marcus Rohrbach, Jacob Andreas +2

People often refer to entities in an image in terms of their relationships with other entities. For example, "the black cat sitting under the table" refers to both a "black cat" en…

cs.CV201617 cited

Utilizing Large Scale Vision and Text Datasets for Image Segmentation from Referring Expressions

Ronghang Hu, Marcus Rohrbach, Subhashini Venugopalan +1

Image segmentation from referring expressions is a joint vision and language modeling task, where the input is an image and a textual expression describing a particular region in t…

cs.CV201553 cited

A Dataset for Movie Description

Anna Rohrbach, Marcus Rohrbach, Niket Tandon +1

Descriptive video service (DVS) provides linguistic descriptions of movies and allows visually impaired people to follow a movie along with their peers. Such descriptions are by de…