25 citations · 32 across the 5 of their papers we have counts for
6 papers
A Dataset for Interactive Vision-Language Navigation with Unknown Command Feasibility
Andrea Burns, Deniz Arsan, Sanjna Agrawal +3
Vision-language navigation (VLN), in which an agent follows language instruction in a visual environment, has been studied under the premise that the input command is fully feasibl…
Effectively Leveraging Attributes for Visual Similarity
Samarth Mishra, Zhongping Zhang, Yuan Shen +3
Measuring similarity between two images often requires performing complex reasoning along different axes (e.g., color, texture, or shape). Insights into what might be important for…
Mobile App Tasks with Iterative Feedback (MoTIF): Addressing Task Feasibility in Interactive Visual Environments
Andrea Burns, Deniz Arsan, Sanjna Agrawal +3
In recent years, vision-language research has shifted to study tasks which require more complex reasoning, such as interactive question answering, visual common sense reasoning, an…
Can AI decrypt fashion jargon for you?
Yuan Shen, Shanduojiao Jiang, Muhammad Rizky Wellyanto +1
When people talk about fashion, they care about the underlying meaning of fashion concepts,e.g., style.For example, people ask questions like what features make this dress smart.Ho…
Learning Type-Aware Embeddings for Fashion Compatibility
Mariya I. Vasileva, Bryan A. Plummer, Krishna Dusad +3
Outfits in online fashion data are composed of items of many different types (e.g. top, bottom, shoes) that share some stylistic relationship with one another. A representation for…
Learning Interpretable Musical Compositional Rules and Traces
Haizi Yu, Lav R. Varshney, Guy E. Garnett +1
Throughout music history, theorists have identified and documented interpretable rules that capture the decisions of composers. This paper asks, "Can a machine behave like a music…