| 1 |
Benchmark Visual Question Answer Models by using Focus Map |
2018.01.13 |
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[Overlap(2017)] |
course CS348 |
| 2 |
Structured Triplet Learning with POS-tag Guided Attention for Visual Question Answering |
2018.01.23 |
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| 3 |
DVQA: Understanding Data Visualizations via Question Answering |
2018.01.24 |
2018.03.29 |
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CVPR 2018 |
| 4 |
Tell-and-Answer: Towards Explainable Visual Question Answering using Attributes and Captions |
2018.01.27 |
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| 5 |
Object-based reasoning in VQA |
2018.01.29 |
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WACV 2018 |
| 6 |
Dual Recurrent Attention Units for Visual Question Answering |
2018.02.01 |
2018.11.07 |
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| 7 |
Answerer in Questioner's Mind: Information Theoretic Approach to Goal-Oriented Visual Dialog |
2018.02.11 |
2018.11.28 |
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NIPS 2018 |
| 8 |
Learning to Count Objects in Natural Images for Visual Question Answering |
2018.02.15 |
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[code] |
ICLR 2018 |
| 9 |
Multimodal Explanations: Justifying Decisions and Pointing to the Evidence |
2018.02.15 |
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[Overlap(2016`41)] |
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| 10 |
VizWiz Grand Challenge: Answering Visual Questions from Blind People |
2018.02.22 |
2018.05.09 |
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| 11 |
Inverse Visual Question Answering: A New Benchmark and VQA Diagnosis Tool |
2018.03.16 |
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[Overlap(2017`43)] |
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| 12 |
VQA-E: Explaining, Elaborating, and Enhancing Your Answers for Visual Questions |
2018.03.20 |
2018.08.25 |
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ECCV 2018 |
| 13 |
Attention on Attention: Architectures for Visual Question Answering (VQA) |
2018.03.20 |
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[code] |
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| 14 |
Explicit Reasoning over End-to-End Neural Architectures for Visual Question Answering |
2018.03.23 |
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AAAI 2018 |
| 15 |
Generalized Hadamard-Product Fusion Operators for Visual Question Answering |
2018.03.25 |
2018.04.06 |
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CRV, 2018, 15th Canadian Conference on Computer and Robot Vision |
| 16 |
DDRprog: A CLEVR Differentiable Dynamic Reasoning Programmer |
2018.03.30 |
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| 17 |
Differential Attention for Visual Question Answering |
2018.03.30 |
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[Web] |
CVPR 2018 |
| 18 |
Improved Fusion of Visual and Language Representations by Dense Symmetric Co-Attention for Visual Question Answering |
2018.04.02 |
2018.12.01 |
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CVPR 2018 |
| 19 |
Question Type Guided Attention in Visual Question Answering |
2018.04.05 |
2018.07.18 |
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| 20 |
Reciprocal Attention Fusion for Visual Question Answering |
2018.05.11 |
2018.07.22 |
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the British Machine Vision Conference (BMVC), September 2018 |
| 21 |
Did the Model Understand the Question? |
2018.05.14 |
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ACL 2018 |
| 22 |
Bilinear Attention Networks |
2018.05.21 |
2018.10.19 |
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NIPS 2018 |
| 23 |
Reproducibility Report for |
2018.05.21 |
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Reproducibility in ML Workshop, ICML 2018 |
| 24 |
Joint Image Captioning and Question Answering |
2018.05.22 |
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| 25 |
R-VQA: Learning Visual Relation Facts with Semantic Attention for Visual Question Answering |
2018.05.24 |
2018.07.19 |
[data] |
SIGKDD 2018 |
| 26 |
On the Flip Side: Identifying Counterexamples in Visual Question Answering |
2018.06.03 |
2018.07.24 |
[framework] |
KDD 2018 |
| 27 |
CS-VQA: Visual Question Answering with Compressively Sensed Images |
2018.06.08 |
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ICIP 2018 |
| 28 |
Learning Answer Embeddings for Visual Question Answering |
2018.06.10 |
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CVPR 2018 |
| 39 |
Cross-Dataset Adaptation for Visual Question Answering |
2018.06.10 |
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CVPR 2018 |
| 30 |
Learning Visual Knowledge Memory Networks for Visual Question Answering |
2018.06.13 |
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CVPR 2018 |
| 31 |
Learning Conditioned Graph Structures for Interpretable Visual Question Answering |
2018.06.19 |
2018.11.01 |
[code] |
NIPS 2018 |
| 32 |
Question Relevance in Visual Question Answering |
2018.07.23 |
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[code] |
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| 33 |
Pythia v0.1: the Winning Entry to the VQA Challenge 2018 |
2018.07.26 |
2018.07.27 |
[code] |
winner of 2018 VQA challenge |
| 34 |
Interpretable Visual Question Answering by Visual Grounding from Attention Supervision Mining |
2018.08.01 |
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| 35 |
Learning Visual Question Answering by Bootstrapping Hard Attention |
2018.08.01 |
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ECCV 2018 |
| 36 |
Question-Guided Hybrid Convolution for Visual Question Answering |
2018.08.08 |
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ECCV 2018 |
| 37 |
Straight to the Facts: Learning Knowledge Base Retrieval for Factual Visual Question Answering |
2018.09.04 |
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ECCV 2018 |
| 38 |
Interpretable Visual Question Answering by Reasoning on Dependency Trees |
2018.09.08 |
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| 39 |
Faithful Multimodal Explanation for Visual Question Answering |
2018.09.08 |
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AAAI 2019 |
| 40 |
The Wisdom of MaSSeS: Majority, Subjectivity, and Semantic Similarity in the Evaluation of VQA |
2018.09.12 |
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| 41 |
The Visual QA Devil in the Details: The Impact of Early Fusion and Batch Norm on CLEVR |
2018.09.11 |
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ECCV 2018 |
| 42 |
Textually Enriched Neural Module Networks for Visual Question Answering |
2018.09.23 |
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[Overlop(2018\CVPR 2018)] |
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE |
| 43 |
Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding |
2018.10.04 |
2019.01.14 |
[Web] [code] |
NIPS 2018 |
| 44 |
Transfer Learning via Unsupervised Task Discovery for Visual Question Answering |
2018.10.03 |
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| 45 |
Overcoming Language Priors in Visual Question Answering with Adversarial Regularization |
2018.10.08 |
2018.11.08 |
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NIPS 2018 |
| 46 |
Knowing Where to Look? Analysis on Attention of Visual Question Answering System |
2018.10.09 |
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ECCV SiVL Workshop paper |
| 47 |
Understand, Compose and Respond - Answering Visual Questions by a Composition of Abstract Procedures |
2018.10.24 |
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| 48 |
Do Explanations make VQA Models more Predictable to a Human? |
2018.10.29 |
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EMNLP 2018 |
| 49 |
TallyQA: Answering Complex Counting Questions |
2018.10.31 |
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[data] |
AAAI 2019 |
| 50 |
Out of the Box: Reasoning with Graph Convolution Nets for Factual Visual Question Answering |
2018.11.01 |
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NIPS 2018 |
| 51 |
Zero-Shot Transfer VQA Dataset |
2018.11.01 |
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| 52 |
Explicit Bias Discovery in Visual Question Answering Models |
2018.11.19 |
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| 53 |
VQA with no questions-answers training |
2018.11.20 |
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| 54 |
Visual Entailment Task for Visually-Grounded Language Learning |
2018.11.20 |
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NeurIPS 2018 |
| 55 |
Visual Question Answering as Reading Comprehension |
2018.11.28 |
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| 56 |
From Known to the Unknown: Transferring Knowledge to Answer Questions about Novel Visual and Semantic Concepts |
2018.11.29 |
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| 57 |
Systematic Generalization: What Is Required and Can It Be Learned? |
2018.11.30 |
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Work in progress |
| 58 |
Learning Representations of Sets through Optimized Permutations |
2018.12.10 |
2019.01.14 |
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ICLR 2019 |
| 59 |
Dynamic Fusion with Intra- and Inter- Modality Attention Flow for Visual Question Answering |
2018.12.12 |
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report |
| 60 |
Multi-modal Learning with Prior Visual Relation Reasoning |
2018.12.23 |
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| 61 |
The meaning of "most" for visual question answering models |
2018.12.31 |
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