Search Results for author: Joseph F. JaJa

Found 2 papers, 2 papers with code

TAG: Boosting Text-VQA via Text-aware Visual Question-answer Generation

1 code implementation3 Aug 2022 Jun Wang, Mingfei Gao, Yuqian Hu, Ramprasaath R. Selvaraju, Chetan Ramaiah, ran Xu, Joseph F. JaJa, Larry S. Davis

To address this deficiency, we develop a new method to generate high-quality and diverse QA pairs by explicitly utilizing the existing rich text available in the scene context of each image.

Answer Generation Question-Answer-Generation +3

Learning Graph-Level Representations with Recurrent Neural Networks

1 code implementation20 May 2018 Yu Jin, Joseph F. JaJa

In this work, we develop a new approach to learn graph-level representations, which includes a combination of unsupervised and supervised learning components.

General Classification Graph Classification

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