Question Part Relevance and Editing for Cooperative and Context-Aware VQA (C2VQA)

By Andeep S. Toor, Harry Wechsler, Michele Nappi. 2017

12 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition, Question Answering & Reading Comprehension

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Jiebo Luo
2. Kristen Grauman
3. Jeffrey P. Bigham
4. Danna Gurari
5. Chi Lin
6. Qing Li
7. Anhong Guo
8. Abigale Stangl

In Computer Vision and Pattern Recognition

1. Jiebo Luo
2. Kristen Grauman
3. Luc Van Gool
4. Danna Gurari
5. Trevor Darrell
6. Dacheng Tao
7. Andrew Zisserman
8. Ming-Hsuan Yang

In Question Answering & Reading Comprehension

1. Jeffrey P. Bigham
2. Danna Gurari
3. Qing Li
4. Jiebo Luo
5. Ana Marasovic

Citations in the corpus

• VizWiz Grand Challenge: Answering Visual Questions from Blind People (2018, background): “Our work relates to recent “relevance” datasets which were artificially constructed to include irrelevant visual questions by injecting questions that are unrelated to the contents of high quality images [20, 27, 31, 36].”