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Visual Question Answering

226 papers

Papers per year

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Papers

Towards Developing a Multilingual and Code-Mixed Visual Question Answering System by Knowledge Distillation EMNLP 2021
MIRTT: Learning Multimodal Interaction Representations from Trilinear Transformers for Visual Question Answering EMNLP 2021
VQA-MHUG: A Gaze Dataset to Study Multimodal Neural Attention in Visual Question Answering EMNLP 2021
Unshuffling Data for Improved Generalization in Visual Question Answering ICCV 2021
Auto-Parsing Network for Image Captioning and Visual Question Answering ICCV 2021
Automatic Generation of Contrast Sets from Scene Graphs: Probing the Compositional Consistency of GQA NAACL 2021
MIMOQA: Multimodal Input Multimodal Output Question Answering NAACL 2021
MiniVQA - A resource to build your tailored VQA competition NAACL 2021
Multimodal Graph Networks for Compositional Generalization in Visual Question Answering NIPS 2020
Divide and Conquer: Question-Guided Spatio-Temporal Contextual Attention for Video Question Answering AAAI 2020
Overcoming Language Priors in VQA via Decomposed Linguistic Representations AAAI 2020
Cross-Modality Relevance for Reasoning on Language and Vision ACL 2020
On the role of effective and referring questions in GuessWhat?! ACL 2020
TA-Student VQA: Multi-Agents Training by Self-Questioning CVPR 2020
In Defense of Grid Features for Visual Question Answering CVPR 2020
Iterative Answer Prediction With Pointer-Augmented Multimodal Transformers for TextVQA CVPR 2020
Video Object Grounding Using Semantic Roles in Language Description CVPR 2020
SQuINTing at VQA Models: Introspecting VQA Models With Sub-Questions CVPR 2020
VQA With No Questions-Answers Training CVPR 2020
On the General Value of Evidence, and Bilingual Scene-Text Visual Question Answering CVPR 2020
Multi-Modal Graph Neural Network for Joint Reasoning on Vision and Scene Text CVPR 2020
PhraseCut: Language-Based Image Segmentation in the Wild CVPR 2020
Where Does It Exist: Spatio-Temporal Video Grounding for Multi-Form Sentences CVPR 2020
Learning to Contrast the Counterfactual Samples for Robust Visual Question Answering EMNLP 2020
ISAAQ - Mastering Textbook Questions with Pre-trained Transformers and Bottom-Up and Top-Down Attention EMNLP 2020