580 citations · 3.8k across the 56 of their papers we have counts for
10 papers · 2 filters
Attentive Explanations: Justifying Decisions and Pointing to the Evidence
Dong Huk Park, Lisa Anne Hendricks, Zeynep Akata +3
Deep models are the defacto standard in visual decision models due to their impressive performance on a wide array of visual tasks. However, they are frequently seen as opaque and…
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…
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…
Captioning Images with Diverse Objects
Subhashini Venugopalan, Lisa Anne Hendricks, Marcus Rohrbach +3
Recent captioning models are limited in their ability to scale and describe concepts unseen in paired image-text corpora. We propose the Novel Object Captioner (NOC), a deep visual…
Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding
Akira Fukui, Dong Huk Park, Daylen Yang +3
Modeling textual or visual information with vector representations trained from large language or visual datasets has been successfully explored in recent years. However, tasks suc…
Movie Description
Anna Rohrbach, Atousa Torabi, Marcus Rohrbach +5
Audio Description (AD) provides linguistic descriptions of movies and allows visually impaired people to follow a movie along with their peers. Such descriptions are by design main…