2 citations · 2 across the 1 of their papers we have counts for
4 papers
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…