VQA-E: Explaining, Elaborating, and Enhancing Your Answers for Visual
Questions

VQA-E: Explaining, Elaborating, and Enhancing Your Answers for Visual Questions

20 March 2018

Jianfei Cai

Papers citing "VQA-E: Explaining, Elaborating, and Enhancing Your Answers for Visual Questions"

11 / 61 papers shown

Title
Teaching Machine Comprehension with Compositional Explanations Qinyuan Ye Xiao Huang Elizabeth Boschee Xiang Ren LRM ReLM 24 34 0 02 May 2020
Generating Question Relevant Captions to Aid Visual Question Answering Jialin Wu Zeyuan Hu Raymond J. Mooney 31 42 0 03 Jun 2019
Why do These Match? Explaining the Behavior of Image Similarity Models Bryan A. Plummer Mariya I. Vasileva Vitali Petsiuk Kate Saenko David A. Forsyth XAI FAtt 26 18 0 26 May 2019
Challenges and Prospects in Vision and Language Research Kushal Kafle Robik Shrestha Christopher Kanan 22 41 0 19 Apr 2019
GQA: A New Dataset for Real-World Visual Reasoning and Compositional Question Answering Drew A. Hudson Christopher D. Manning CoGe NAI 24 137 0 25 Feb 2019
VQA with no questions-answers training B. Vatashsky S. Ullman 41 12 0 20 Nov 2018
Understand, Compose and Respond - Answering Visual Questions by a Composition of Abstract Procedures B. Vatashsky S. Ullman CoGe 26 1 0 25 Oct 2018
Shuffle-Then-Assemble: Learning Object-Agnostic Visual Relationship Features Xu Yang Hanwang Zhang Jianfei Cai 50 74 0 01 Aug 2018
Joint Image Captioning and Question Answering Jialin Wu Zeyuan Hu Raymond J. Mooney 24 12 0 22 May 2018
Tell-and-Answer: Towards Explainable Visual Question Answering using Attributes and Captions Qing Li Jianlong Fu D. Yu Tao Mei Jiebo Luo FAtt XAI CoGe 51 60 0 27 Jan 2018
Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding Akira Fukui Dong Huk Park Daylen Yang Anna Rohrbach Trevor Darrell Marcus Rohrbach 167 1,465 0 06 Jun 2016