README.md

Awesome Visual Question Answering:

A curated list of Visual Question Answering(VQA)(Image/Video Question Answering),Visual Question Generation ,Visual Dialog ,Visual Commonsense Reasoning and related area.

Contributing

Please feel free to send me pull requests or email ([email protected]) to add links. Markdown format:

- [Paper Name](link) - Author 1 et al, **Conference Year**. [[code]](link)

Change Log

• Mar.3rd,2019 The First version released.

Table of Contents

• Contributing
• Change Log
• Table of Contents
• Papers
  • Survey
  • 2022
    • EMNLP 2022
    • NeurIPS 2022
    • ACL 2022
    • CVPR 2022
    • ICLR 2022
    • AAAI 2022
    • IJCAI 2022
    • BMVC 2022
  • 2021
    • NeurIPS 2021
    • EMNLP 2021
    • ICCV 2021
    • ACL 2021
    • SIGIR 2021
    • CVPR 2021
    • ICLR 2021
    • NAACL-HLT 2021
    • AAAI 2021
  • 2020
    • EMNLP 2020
    • NeurIPS 2020
    • ECCV 2020
    • CVPR 2020
    • ACL 2020
    • WACV 2020
    • AAAI 2020
  • 2019
    • ACL 2019
    • ICCV 2019
    • NeurIPS 2019
    • CVPR 2019
    • AAAI 2019
    • OTHER
  • 2018
    • NIPS 2018
    • AAAI 2018
    • IJCAI 2018
    • CVPR 2018
    • ACM MM 2018
    • ECCV 2018
    • OTHER
  • 2017-2015
    • OTHER
    • ICCV 2017
• VQA Challenge Leaderboard
  • test-std 2018
  • test-std 2017
• Licenses
• Reference and Acknowledgement

Papers

Survey

• Visual question answering: Datasets, algorithms, and future challenges - Kushal Kafle et al, CVIU 2017.
• Visual question answering: A survey of methods and datasets - Qi Wu et al, CVIU 2017.
• Video Question Answering: Datasets, Algorithms and Challenges - yaoyao Zhong et al, EMNLP 2022.

2022

EMNLP 2022

• Video Question Answering: Datasets, Algorithms and Challenges - yaoyao Zhong et al, EMNLP 2022.
• Entity-Focused Dense Passage Retrieval for Outside-Knowledge Visual Question Answering - Jialin Wu et al, EMNLP 2022.
• Retrieval Augmented Visual Question Answering with Outside Knowledge - Weizhe Lin et al, EMNLP 2022.
• CRIPP-VQA: Counterfactual Reasoning about Implicit Physical Properties via Video Question Answering - Maitreya Patel et al, EMNLP 2022. [proj] [code]
• Towards Robust Visual Question Answering: Making the Most of Biased Samples via Contrastive Learning - Qingyi Si et al, EMNLP 2022 (Findings). [code]
• Plug-and-Play VQA: Zero-shot VQA by Conjoining Large Pretrained Models with Zero Training - Anthony Meng Huat Tiong et al, EMNLP 2022 (Findings).
• Language Prior Is Not the Only Shortcut: A Benchmark for Shortcut Learning in VQA - Qingyi Si et al, EMNLP 2022 (Findings). [code]

NeurIPS 2022

• REVIVE: Regional Visual Representation Matters in Knowledge-Based Visual Question Answering - Yuanze Lin et al, NeurIPS 2022.
• Towards Video Text Visual Question Answering: Benchmark and Baseline - Minyi Zhao et al, NeurIPS 2022.

ACL 2022

• CLIP Models are Few-Shot Learners: Empirical Studies on VQA and Visual Entailment - Haoyu Song et al, ACL 2022.
• CARETS: A Consistency And Robustness Evaluative Test Suite for VQA - Carlos Jimenez et al, ACL 2022.
• Hypergraph Transformer: Weakly-Supervised Multi-hop Reasoning for Knowledge-based Visual Question Answering - Yu-Jung Heo et al, ACL 2022.
• DuReader_vis: A Chinese Dataset for Open-domain Document Visual Question Answering - Le Qi et al, ACL 2022 (Findings).
• xGQA: Cross-Lingual Visual Question Answering - Jonas Pfeiffer et al, ACL 2022 (Findings). [data]
• Co-VQA : Answering by Interactive Sub Question Sequence - Ruonan Wang et al, ACL 2022 (Findings).

CVPR 2022

• SimVQA: Exploring Simulated Environments for Visual Question Answering - Paola Cascante-Bonilla et al, CVPR 2022. [code]
• A Thousand Words Are Worth More Than a Picture: Natural Language-Centric Outside-Knowledge Visual Question Answering - Feng Gao et al, CVPR 2022.
• SwapMix: Diagnosing and Regularizing the Over-reliance on Visual Context in Visual Question Answering - Vipul Gupta et al, CVPR 2022. [code]
• Dual-Key Multimodal Backdoors for Visual Question Answering - Matthew Walmer et al, CVPR 2022. [code]
• MuKEA: Multimodal Knowledge Extraction and Accumulation for Knowledge-based Visual Question Answering - Yang Ding et al, CVPR 2022. [code]
• Grounding Answers for Visual Questions Asked by Visually Impaired People - Choyan Chen et al, CVPR 2022. [page]
• Maintaining Reasoning Consistency in Compositional Visual Question Answering - Chenchen Jing et al, CVPR 2022. [code]

ICLR 2022

• RelViT: Concept-guided Vision Transformer for Visual Relational Reasoning - Xiaojian Ma et al, ICLR 2022. [code]

AAAI 2022

• Dynamic Key-value Memory Enhanced Multi-step Graph Reasoning for Knowledge-based Visual Question Answering - Mingxiao Li et al, AAAI 2022. [code]

IJCAI 2022

• Multilevel Hierarchical Network with Multiscale Sampling for Video Question Answering - Min Peng et al, IJCAI 2022. [code]

BMVC 2022

• TAG: Boosting Text-VQA via Text-aware Visual Question-answer Generation - Jun Wang et al, BMVC 2022. [code]

2021

NeurIPS 2021

• Human-Adversarial Visual Question Answering - Sasha Sheng et al, NeurIPS 2021. [code]
• Debiased Visual Question Answering from Feature and Sample Perspectives - Zhiquan Wen et al, NeurIPS 2021. [code]
• Learning to Generate Visual Questions with Noisy Supervision - Kai Shen et al, NeurIPS 2021. [code]
• Proto: Program-guided transformer for program-guided tasks - Zelin Zhao et al, NeurIPS 2021. [code]

EMNLP 2021

• Discovering the Unknown Knowns: Turning Implicit Knowledge in the Dataset into Explicit Training Examples for Visual Question Answering - Jihyung Kil et al, EMNLP 2021.
• Beyond Accuracy: A Consolidated Tool for Visual Question Answering Benchmarking - Jihyung Kil et al, EMNLP 2021 (demo). [code]
• Diversity and Consistency: Exploring Visual Question-Answer Pair Generation - Sen Yang et al, EMNLP 2021 (Findings).
• Towards Developing a Multilingual and Code-Mixed Visual Question Answering System by Knowledge Distillation - Humair Raj Khan et al, EMNLP 2021 (Findings).
• MIRTT: Learning Multimodal Interaction Representations from Trilinear Transformers for Visual Question Answering - Junjie Wang et al, EMNLP 2021 (Findings). [code]

ICCV 2021

• Just Ask: Learning To Answer Questions From Millions of Narrated Videos - Antoine Yang et al, ICCV 2021.
• Env-QA: A Video Question Answering Benchmark for Comprehensive Understanding of Dynamic Environments - Difei Gao et al, ICCV 2021.
• On The Hidden Treasure of Dialog in Video Question Answering - Deniz Engin et al, ICCV 2021.
• Unshuffling Data for Improved Generalization in Visual Question Answering - Damien Teney et al, ICCV 2021.
• TRAR: Routing the Attention Spans in Transformer for Visual Question Answering - Yiyi Zhou et al, ICCV 2021.
• Greedy Gradient Ensemble for Robust Visual Question Answering - Xinzhe Han et al, ICCV 2021.
• Pano-AVQA: Grounded Audio-Visual Question Answering on 360deg Videos - Heeseung Yun et al, ICCV 2021.
• Weakly Supervised Relative Spatial Reasoning for Visual Question Answering - Pratyay Banerjee et al, ICCV 2021.
• Linguistically Routing Capsule Network for Out-of-Distribution Visual Question Answering - Qingxing Cao et al, ICCV 2021.
• Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in Visual Question Answering - Corentin Dancette et al, ICCV 2021.
• Auto-Parsing Network for Image Captioning and Visual Question Answering - Xu Yang et al, ICCV 2021.
• Unified Questioner Transformer for Descriptive Question Generation in Goal-Oriented Visual Dialogue - Shoya Matsumori et al, ICCV 2021.

ACL 2021

• Check It Again:Progressive Visual Question Answering via Visual Entailment - Qingyi Si et al, ACL 2021. [code]
• Mind Your Outliers! Investigating the Negative Impact of Outliers on Active Learning for Visual Question Answering - Siddharth Karamcheti et al, ACL 2021. [code]
• In Factuality: Efficient Integration of Relevant Facts for Visual Question Answering - Peter Vickers et al, ACL 2021.
• Towards Visual Question Answering on Pathology Images - Xuehai He et al, ACL 2021. [code]
• Are VQA Systems RAD? Measuring Robustness to Augmented Data with Focused Interventions - Daniel Rosenberg et al, ACL 2021. [code]

SIGIR 2021

• LPF: A Language-Prior Feedback Objective Function for De-biased Visual Question Answering - Zujie Liang et al, SIGIR 2021. [code]
• Passage Retrieval for Outside-Knowledge Visual Question Answering - Chen Qu et al, SIGIR 2021. [code]
• Select, Substitute, Search: A New Benchmark for Knowledge-Augmented Visual Question Answering - Aman Jain et al, SIGIR 2021. [code]
• Visual Question Rewriting for Increasing Response Rate - Jiayi Wei et al, SIGIR 2021.

CVPR 2021

• Separating Skills and Concepts for Novel Visual Question Answering - Spencer Whitehead et al, CVPR 2021.
• Roses Are Red, Violets Are Blue... but Should VQA Expect Them To? - Corentin Kervadec et al, CVPR 2021 [code]
• Predicting Human Scanpaths in Visual Question Answering - Xianyu Chen et al, CVPR 2021
• Found a Reason for me? Weakly-supervised Grounded Visual Question Answering using Capsules - Aisha Urooj et al, CVPR 2021
• TAP: Text-Aware Pre-Training for Text-VQA and Text-Caption - Zhengyuan Yang et al, CVPR 2021
• Counterfactual VQA: A Cause-Effect Look at Language Bias - Yulei Niu et al, CVPR 2021 [code]
• KRISP: Integrating Implicit and Symbolic Knowledge for Open-Domain Knowledge-Based VQA - Kenneth Marino et al, CVPR 2021
• Perception Matters: Detecting Perception Failures of VQA Models Using Metamorphic Testing - Yuanyuan Yuan et al, CVPR 2021
• How Transferable Are Reasoning Patterns in VQA? - Corentin Kervadec et al, CVPR 2021
• Domain-Robust VQA With Diverse Datasets and Methods but No Target Labels - Mingda Zhang et al, CVPR 2021
• Learning Better Visual Dialog Agents With Pretrained Visual-Linguistic Representation - Tao Tu et al, CVPR 2021

ICLR 2021

• MultiModalQA: complex question answering over text, tables and images - Alon Talmor et al, ICLR 2021. [page]

NAACL-HLT 2021

• CLEVR_HYP: A Dataset and Baselines for Visual Question Answering with Hypothetical Actions over Images - Shailaja Keyur Sampat et al, NAACL-HLT 2021. [code]
• Video Question Answering with Phrases via Semantic Roles - Arka Sadhu et al, NAACL-HLT 2021.
• SOrT-ing VQA Models : Contrastive Gradient Learning for Improved Consistency - Sameer Dharur et al, NAACL-HLT 2021.
• EaSe: A Diagnostic Tool for VQA based on Answer Diversity - Shailza Jolly et al, NAACL-HLT 2021.
• Ensemble of MRR and NDCG models for Visual Dialog - Idan Schwartz, NAACL-HLT 2021. [code]

AAAI 2021

• Regularizing Attention Networks for Anomaly Detection in Visual Question Answering - Doyup Lee et al, AAAI 2021.
• A Case Study of the Shortcut Effects in Visual Commonsense Reasoning - Keren Ye et al, AAAI 2021. [code]
• VisualMRC: Machine Reading Comprehension on Document Images - Ryota Tanaka et al, AAAI 2021. [page]

2020

EMNLP 2020

• MUTANT: A Training Paradigm for Out-of-Distribution Generalization in Visual Question Answering - Tejas Gokhale et al, EMNLP 2020. [code]
• Learning to Contrast the Counterfactual Samples for Robust Visual Question Answering - Zujie Liang et al, EMNLP 2020. [code]
• VD-BERT: A Unified Vision and Dialog Transformer with BERT - Yue Wang et al, EMNLP 2020.

NeurIPS 2020

• Multimodal Graph Networks for Compositional Generalization in Visual Question Answering - Raeid Saqur et al, NeurIPS 2020.
• Removing Bias in Multi-modal Classifiers: Regularization by Maximizing Functional Entropies - Itai Gat et al, NeurIPS 2020.
• Dialog without Dialog Data: Learning Visual Dialog Agents from VQA Data - Michael Cogswell et al, NeurIPS 2020.
• On the Value of Out-of-Distribution Testing: An Example of Goodhart's Law - Damien Teney et al, NeurIPS 2020.

ECCV 2020

• Reducing Language Biases in Visual Question Answering with Visually-Grounded Question Encoder - Gouthaman KV et al, ECCV 2020.
• Knowledge-Based Video Question Answering with Unsupervised Scene Descriptions - Noa Garcia et al, ECCV 2020.
• Semantic Equivalent Adversarial Data Augmentation for Visual Question Answering - Ruixue Tang et al, ECCV 2020.
• Visual Question Answering on Image Sets - Ankan Bansal et al, ECCV 2020.
• VQA-LOL: Visual Question Answering under the Lens of Logic - Tejas Gokhale et al, ECCV 2020.
• TRRNet: Tiered Relation Reasoning for Compositional Visual Question Answering - Xiaofeng Yang et al, ECCV 2020.
• Spatially Aware Multimodal Transformers for TextVQA - Yash Kant et al, ECCV 2020.

CVPR 2020

• Multi-Modal Graph Neural Network for Joint Reasoning on Vision and Scene Text - Difei Gao et al, CVPR 2020. [code]
• On the General Value of Evidence, and Bilingual Scene-Text Visual Question Answering - Xinyu Wang et al, CVPR 2020.
• In Defense of Grid Features for Visual Question Answering - Huaizu Jiang et al, CVPR 2020.
• Counterfactual Samples Synthesizing for Robust Visual Question Answering - Long Chen et al, CVPR 2020.
• Counterfactual Vision and Language Learning - Ehsan Abbasnejad et al, CVPR 2020.
• Iterative Answer Prediction With Pointer-Augmented Multimodal Transformers for TextVQA - Ronghang Hu et al, CVPR 2020.
• Towards Causal VQA: Revealing and Reducing Spurious Correlations by Invariant and Covariant Semantic Editing - Vedika Agarwal et al, CVPR 2020.
• SQuINTing at VQA Models: Introspecting VQA Models With Sub-Questions - Ramprasaath R. Selvaraju et al, CVPR 2020.
• TA-Student VQA: Multi-Agents Training by Self-Questioning - Peixi Xiong et al, CVPR 2020.
• VQA With No Questions-Answers Training - Ben-Zion Vatashsky et al, CVPR 2020.
• Hierarchical Conditional Relation Networks for Video Question Answering - Thao Minh Le et al, CVPR 2020.
• Modality Shifting Attention Network for Multi-Modal Video Question Answering - Junyeong Kim et al, CVPR 2020.
• Webly Supervised Knowledge Embedding Model for Visual Reasoning - Wenbo Zheng et al, CVPR 2020.
• Differentiable Adaptive Computation Time for Visual Reasoning - Cristobal Eyzaguirre et al, CVPR 2020.

ACL 2020

• A negative case analysis of visual grounding methods for VQA - Robik Shrestha et al, ACL 2020.
• Cross-Modality Relevance for Reasoning on Language and Vision - Chen Zheng et al, ACL 2020.
• Dense-Caption Matching and Frame-Selection Gating for Temporal Localization in VideoQA - Hyounghun Kim et al, ACL 2020.
• TVQA+: Spatio-Temporal Grounding for Video Question Answering - Jie Lei et al, ACL 2020.

WACV 2020

• BERT representations for Video Question Answering - Zekun Yang et al, WACV 2020.
• Deep Bayesian Network for Visual Question Generation - Badri Patro et al, WACV 2020.
• Robust Explanations for Visual Question Answering - Badri Patro et al, WACV 2020.
• Visual Question Answering on 360deg Images - Shih-Han Chou et al, WACV 2020.
• LEAF-QA: Locate, Encode & Attend for Figure Question Answering - Ritwick Chaudhry et al, WACV 2020.
• Answering Questions about Data Visualizations using Efficient Bimodal Fusion - Kushal Kafle et al, WACV 2020.

AAAI 2020

• Multi‐Question Learning for Visual Question Answering - Chenyi Lei et al, AAAI 2020.
• Explanation vs Attention: A Two-Player Game to Obtain Attention for VQA - Badri N. Patro et al, AAAI 2020.
• Overcoming Language Priors in VQA via Decomposed Linguistic Representations - Chenchen Jing et al, AAAI 2020.
• Unified Vision-Language Pre-Training for Image Captioning and VQA - Luowei Zhou et al, AAAI 2020.
• Re‐Attention for Visual Question Answering - Wenya Guo et al, AAAI 2020.
• Divide and Conquer: Question­‐Guided Spatio­‐Temporal Contextual Attention for Video Question Answering - Jianwen Jiang et al, AAAI 2020.
• Reasoning with Heterogeneous Graph Alignment for Video Question Answering - Pin Jiang et al, AAAI 2020.
• Location­‐aware Graph Convolutional Networks for Video Question Answering - Deng Huang et al, AAAI 2020.
• KnowIT VQA: Answering Knowledge­‐Based Questions about Videos - Noa Garcia et al, AAAI 2020.

2019

ACL 2019

• Generating Question Relevant Captions to Aid Visual Question Answering - Jialin Wu et al, ACL 2019.
• Psycholinguistics Meets Continual Learning: Measuring Catastrophic Forgetting in Visual Question Answering - Claudio Greco et al, ACL 2019. [code]
• Multi-grained Attention with Object-level Grounding for Visual Question Answering - Pingping Huang et al, ACL 2019.
• Improving Visual Question Answering by Referring to Generated Paragraph Captions - Hyounghun Kim et al, ACL 2019.

ICCV 2019

• Compact Trilinear Interaction for Visual Question Answering - Tuong Do Kim et al, ICCV 2019.
• Scene Text Visual Question Answering - Ali Furkan Biten et al, ICCV 2019.
• Multi-Modality Latent Interaction Network for Visual Question Answering - Peng Gao et al, ICCV 2019.
• Relation-Aware Graph Attention Network for Visual Question Answering - Linjie Li et al, ICCV 2019.
• Why Does a Visual Question Have Different Answers? - Nilavra Bhattacharya et al, ICCV 2019.

NeurIPS 2019

• RUBi: Reducing Unimodal Biases for Visual Question Answering - Remi Cadene et al, NeurIPS 2019.
• Self-Critical Reasoning for Robust Visual Question Answering - Jialin Wu et al, NeurIPS 2019.

CVPR 2019

• Deep Modular Co-Attention Networks for Visual Question Answering - Zhou Yu et al, CVPR 2019. [code]
• Information Maximizing Visual Question Generation - Ranjay Krishna et al, CVPR 2019. [code]
• Social-IQ: A Question Answering Benchmark for Artificial Social Intelligence - Amir Zadeh et al, CVPR 2019. [code]
• Learning to Compose Dynamic Tree Structures for Visual Contexts - Kaihua Tang et al, CVPR 2019. [code]
• Transfer Learning via Unsupervised Task Discovery for Visual Question Answering - Hyeonwoo Noh et al, CVPR 2019. [code]
• Video Relationship Reasoning using Gated Spatio-Temporal Energy Graph - Yao-Hung Hubert Tsai et al, CVPR 2019. [code]
• Explainable and Explicit Visual Reasoning over Scene Graphs - Jiaxin Shi et al, CVPR 2019. [code]
• MUREL: Multimodal Relational Reasoning for Visual Question Answering - Remi Cadene et al, CVPR 2019. [code]
• Image-Question-Answer Synergistic Network for Visual Dialog - Dalu Guo et al, CVPR 2019. [code]
• RAVEN: A Dataset for Relational and Analogical Visual rEasoNing - Chi Zhang et al, CVPR 2019. [project page]
• Cycle-Consistency for Robust Visual Question Answering - Meet Shah et al, CVPR 2019.
• It's Not About the Journey; It's About the Destination: Following Soft Paths Under Question-Guidance for Visual Reasoning - Monica Haurilet et al, CVPR 2019.
• OK-VQA: A Visual Question Answering Benchmark Requiring External Knowledge - Kenneth Marino et al, CVPR 2019.
• Visual Question Answering as Reading Comprehension - Hui Li et al, CVPR 2019.
• Dynamic Fusion With Intra- and Inter-Modality Attention Flow for Visual Question Answering - Peng Gao et al, CVPR 2019.
• Explicit Bias Discovery in Visual Question Answering Models - Varun Manjunatha et al, CVPR 2019.
• Answer Them All! Toward Universal Visual Question Answering Models - Robik Shrestha et al, CVPR 2019.
• Visual Query Answering by Entity-Attribute Graph Matching and Reasoning - Peixi Xiong et al, CVPR 2019.

AAAI 2019

• Differential Networks for Visual Question Answering - Chenfei Wu et al, AAAI 2019. [code]
• BLOCK: Bilinear Superdiagonal Fusion for Visual Question Answering and Visual Relationship Detection - Hedi Ben-younes et al, AAAI 2019. [code]
• Dynamic Capsule Attention for Visual Question Answering - Yiyi Zhou et al, AAAI 2019. [code]
• Structured Two-stream Attention Network for Video Question Answering - Lianli Gao et al, AAAI 2019. [code]
• Beyond RNNs: Positional Self-Attention with Co-Attention for Video Question Answering - Xiangpeng Li et al, AAAI 2019. [code]
• WK-VQA: World Knowledge-enabled Visual Question Answering - Sanket Shah et al, AAAI 2019. [code]
• Free VQA Models from Knowledge Inertia by Pairwise Inconformity Learning - Yiyi Zhou et al, AAAI 2019. [code]

OTHER

• Focal Visual-Text Attention for Memex Question Answering - Junwei Liang et al, TPAMI 2019. [code]
• Plenty is Plague: Fine-Grained Learning for Visual Question Answering - Yiyi Zhou et al, TPAMI 2019.
• Combining Multiple Cues for Visual Madlibs Question Answering - Tatiana Tommasi et al, IJCV 2019. [code]
• Large-Scale Answerer in Questioner's Mind for Visual Dialog Question Generation - Sang-Woo Lee et al, ICLR 2019. [code]

2018

NIPS 2018

• Bilinear Attention Networks - Jin-Hwa Kim et al, NIPS 2018. [code]
• Chain of Reasoning for Visual Question Answering - Chenfei Wu et al, NIPS 2018. [code]
• Learning Conditioned Graph Structures for Interpretable Visual Question Answering - Will Norcliffe-Brown et al, NIPS 2018. [code]
• Learning to Specialize with Knowledge Distillation for Visual Question Answering - Jonghwan Mun et al, NIPS 2018. [code]
• Out of the Box: Reasoning with Graph Convolution Nets for Factual Visual Question Answering - Medhini Narasimhan et al, NIPS 2018. [code]
• Overcoming Language Priors in Visual Question Answering with Adversarial Regularization - Sainandan Ramakrishnan et al, NIPS 2018. [code]

AAAI 2018

• Explicit Reasoning over End-to-End Neural Architectures for Visual Question Answering - Somak Aditya et al, AAAI 2018. [code]
• Co-Attending Free-Form Regions and Detections with Multi-Modal Multiplicative Feature Embedding for Visual Question Answering - Pan Lu et al, AAAI 2018. [code]
• Exploring Human-Like Attention Supervision in Visual Question Answering - Somak Aditya et al, AAAI 2018. [code]
• Movie Question Answering: Remembering the Textual Cues for Layered Visual Contents - Bo Wang et al, AAAI 2018. [code]

IJCAI 2018

• Feature Enhancement in Attention for Visual Question Answering - Yuetan Lin et al, IJCAI 2018. [code]
• A Question Type Driven Framework to Diversify Visual Question Generation - Zhihao Fan et al, IJCAI 2018. [code]
• Multi-Turn Video Question Answering via Multi-Stream Hierarchical Attention Context Network - Zhou Zhao et al, IJCAI 2018. [code]
• Open-Ended Long-form Video Question Answering via Adaptive Hierarchical Reinforced Networks - Zhou Zhao et al, IJCAI 2018. [code]

CVPR 2018

• Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering - Peter Anderson et al, CVPR 2018. [code(author)] [code(pythiaV0.1)] [code(Pytorch Reimplementation)]
• Tips and Tricks for Visual Question Answering: Learnings From the 2017 Challenge - Damien Teney et al, CVPR 2018. [code]
• Learning by Asking Questions - Ishan Misra et al, CVPR 2018. [code]
• Embodied Question Answering - Abhishek Das et al, CVPR 2018. [code]
• VizWiz Grand Challenge: Answering Visual Questions From Blind People - Danna Gurari et al, CVPR 2018. [code]
• Textbook Question Answering Under Instructor Guidance With Memory Networks - Juzheng Li et al, CVPR 2018. [code]
• IQA: Visual Question Answering in Interactive Environments - Daniel Gordon et al, CVPR 2018. [sample video]
• Don't Just Assume; Look and Answer: Overcoming Priors for Visual Question Answering - Aishwarya Agrawal et al, CVPR 2018. [code]
• Learning Answer Embeddings for Visual Question Answering - Hexiang Hu et al, CVPR 2018. [code]
• DVQA: Understanding Data Visualizations via Question Answering - Kushal Kafle et al, CVPR 2018. [code]
• Cross-Dataset Adaptation for Visual Question Answering - Wei-Lun Chao et al, CVPR 2018. [code]
• Two Can Play This Game: Visual Dialog With Discriminative Question Generation and Answering - Unnat Jain et al, CVPR 2018. [code]
• Improved Fusion of Visual and Language Representations by Dense Symmetric Co-Attention for Visual Question Answering - Duy-Kien Nguyen et al, CVPR 2018. [code]
• Visual Question Generation as Dual Task of Visual Question Answering - Yikang Li et al, CVPR 2018. [code]
• Focal Visual-Text Attention for Visual Question Answering - Junwei Liang et al, CVPR 2018. [code]
• Motion-Appearance Co-Memory Networks for Video Question Answering - Jiyang Gao et al, CVPR 2018. [code]
• Visual Question Answering With Memory-Augmented Networks - Chao Ma et al, CVPR 2018. [code]
• Visual Question Reasoning on General Dependency Tree - Qingxing Cao et al, CVPR 2018. [code]
• Differential Attention for Visual Question Answering - Badri Patro et al, CVPR 2018. [code]
• Learning Visual Knowledge Memory Networks for Visual Question Answering - Zhou Su et al, CVPR 2018. [code]
• IVQA: Inverse Visual Question Answering - Feng Liu et al, CVPR 2018. [code]
• Customized Image Narrative Generation via Interactive Visual Question Generation and Answering - Andrew Shin et al, CVPR 2018. [code]

ACM MM 2018

• Object-Difference Attention: A simple relational attention for Visual Question Answering - Chenfei Wu et al, ACM MM 2018. [code]
• Enhancing Visual Question Answering Using Dropout - Zhiwei Fang et al, ACM MM 2018. [code]
• Fast Parameter Adaptation for Few-shot Image Captioning and Visual Question Answering - Xuanyi Dong et al, ACM MM 2018. [code]
• Explore Multi-Step Reasoning in Video Question Answering - Xiaomeng Song et al, ACM MM 2018. [code] [SVQA dataset]

ECCV 2018

• Visual Question Answering as a Meta Learning Task - Damien Teney et al, ECCV 2018. [code]
• Question-Guided Hybrid Convolution for Visual Question Answering - Peng Gao et al, ECCV 2018. [code]
• Goal-Oriented Visual Question Generation via Intermediate Rewards - Junjie Zhang et al, ECCV 2018. [code]
• Multimodal Dual Attention Memory for Video Story Question Answering - Kyung-Min Kim et al, ECCV 2018. [code]
• A Joint Sequence Fusion Model for Video Question Answering and Retrieval - Youngjae Yu et al, ECCV 2018. [code]
• Deep Attention Neural Tensor Network for Visual Question Answering - Yalong Bai et al, ECCV 2018. [code]
• Question Type Guided Attention in Visual Question Answering - Yang Shi et al, ECCV 2018. [code]
• Learning Visual Question Answering by Bootstrapping Hard Attention - Mateusz Malinowski et al, ECCV 2018. [code]
• Straight to the Facts: Learning Knowledge Base Retrieval for Factual Visual Question Answering - Medhini Narasimhan et al, ECCV 2018. [code]
• Visual Question Generation for Class Acquisition of Unknown Objects - Kohei Uehara et al, ECCV 2018. [code]

OTHER

• Image Captioning and Visual Question Answering Based on Attributes and External Knowledge - Qi Wu et al, TPAMI 2018. [code]
• FVQA: Fact-Based Visual Question Answering - Peng Wang et al, TPAMI 2018. [code]
• R-VQA: Learning Visual Relation Facts with Semantic Attention for Visual Question Answering - Pan Lu et al, SIGKDD 2018. [code(Dataset)]
• Interpretable Counting for Visual Question Answering - Alexander Trott et al, ICLR 2018. [code]
• Learning to Count Objects in Natural Images for Visual Question Answering - Yan Zhang et al, ICLR 2018. [code]
• A Better Way to Attend: Attention With Trees for Video Question Answering - Hongyang Xue et al, TIP 2018. [code]
• Zero-Shot Transfer VQA Dataset - Pan Lu et al, arxiv preprint. [code]
• Visual Question Answering using Explicit Visual Attention - Vasileios Lioutas et al, *ISCAS 2018*. [code]
• Explicit ensemble attention learning for improving visual question answering - Vasileios Lioutas et al, *Pattern Recognition Letters 2018*. [code]

2017-2015

OTHER

Please check the other papers list from VQA area between 2017-2015 in awesome-vqa from JamesChuanggg, it seems that he hasn't maintained that project for a long time. Really appreciate for his work. I will merge his work to this list in the future.Stay tuned...

ICCV 2017

• Learning to Reason: End-to-End Module Networks for Visual Question Answering - Ronghang Hu et al, ICCV 2017. [code]
• Structured Attentions for Visual Question Answering - Chen Zhu et al, ICCV 2017. [code]
• VQS: Linking Segmentations to Questions and Answers for Supervised Attention in VQA and Question-Focused Semantic Segmentation - Chuang Gan et al, ICCV 2017. [code]
• Multi-modal Factorized Bilinear Pooling with Co-attention Learning for Visual Question Answering - Zhou Yu et al, ICCV 2017. [code]
• An Analysis of Visual Question Answering Algorithms - Kushal Kafle et al, ICCV 2017. [code]
• MUTAN: Multimodal Tucker Fusion for Visual Question Answering - Hedi Ben-younes et al, ICCV 2017. [code]
• MarioQA: Answering Questions by Watching Gameplay Videos - Jonghwan Mun et al, ICCV 2017. [code]
• Learning to Disambiguate by Asking Discriminative Questions - Yining Li et al, ICCV 2017. [code]

VQA Challenge Leaderboard

I will collect the leaderboard's implementations in the future.Stay tuned...

test-std 2018

• VQA Challenge 2018 Leaderboard in EvalAI

test-std 2017

• VQA Challenge 2017(Open-Ended) Leaderboard in EvalAI

TextVQA

• TextVQA Challenge 2019 Leaderboard in EvalAI

VQA-CP

• The VQA-CP leaderboard

Licenses

To the extent possible under law, Jokie Leung has waived all copyright and related or neighboring rights to this work.

Reference and Acknowledgement

• awesome-image-captioning from Zhihong Chen
• awesome-vqa from JamesChuanggg

Really appreciate for their contributions in this area.