VQA: Visual Question Answering,
dataset containing open-ended questions about images
WWW Link.
Dataset, Visual Question Answering. See also VQA: Visual Question Answering.
Visual7W visual question answering,
Large-scale visual question answering (QA) dataset, with object-level
groundings and multimodal answers.
WWW Link.
Dataset, Visual Question Answering.
Visual Genome,
Visual Genome is a dataset, a knowledge base, an ongoing effort to
connect structured image concepts to language.
WWW Link.
WWW Link.
Dataset, Visual Question Answering.
Wu, Y.C.[Yu-Chieh],
Yang, J.C.[Jie-Chi],
A Robust Passage Retrieval Algorithm for Video Question Answering,
CirSysVideo(18), No. 10, October 2008, pp. 1411-1421.
IEEE DOI
0811
BibRef
Wu, Y.C.[Yu-Chieh],
Lee, Y.S.[Yue-Shi],
Yang, J.C.[Jie-Chi],
Yen, S.J.[Show-Jane],
A New Passage Ranking Algorithm for Video Question Answering,
PSIVT06(563-572).
Springer DOI
0612
BibRef
Li, G.D.[Guang-Da],
Li, H.[Haojie],
Ming, Z.Y.[Zhao-Yan],
Hong, R.[Richang],
Tang, S.[Sheng],
Chua, T.S.[Tat-Seng],
Question Answering over Community-Contributed Web Videos,
MultMedMag(17), No. 4, October-December 2010, pp. 46-57.
IEEE DOI
1011
BibRef
Song, Y.C.[Yi-Cheng],
Li, H.[Haojie],
Mash-Up Approach for Web Video Category Recommendation,
PSIVT10(197-202).
IEEE DOI
1011
BibRef
Agrawal, A.[Aishwarya],
Lu, J.[Jiasen],
Antol, S.[Stanislaw],
Mitchell, M.[Margaret],
Zitnick, C.L.[C. Lawrence],
Parikh, D.[Devi],
Batra, D.[Dhruv],
VQA: Visual Question Answering,
IJCV(123), No. 1, May 2017, pp. 4-31.
Springer DOI
1705
BibRef
Xue, H.,
Zhao, Z.,
Cai, D.,
Unifying the Video and Question Attentions for Open-Ended Video
Question Answering,
IP(26), No. 12, December 2017, pp. 5656-5666.
IEEE DOI
1710
image retrieval, video coding,
temporal question attention, temporal structures,
Adaptation models, Coherence, Hair, Knowledge discovery,
BibRef
Malinowski, M.[Mateusz],
Rohrbach, M.[Marcus],
Fritz, M.[Mario],
Ask Your Neurons: A Deep Learning Approach to Visual Question Answering,
IJCV(125), No. 1-3, December 2018, pp. 110-135.
Springer DOI
1711
BibRef
Earlier:
Ask Your Neurons:
A Neural-Based Approach to Answering Questions about Images,
ICCV15(1-9)
IEEE DOI
1602
Deep learning for questions about real-world images.
A Visual Turing Test.
Language output based on visual and natural language input.
BibRef
Kafle, K.[Kushal],
Kanan, C.[Christopher],
Visual question answering:
Datasets, algorithms, and future challenges,
CVIU(163), No. 1, 2017, pp. 3-20.
Elsevier DOI
1712
Image understanding
BibRef
Wu, Q.[Qi],
Teney, D.[Damien],
Wang, P.[Peng],
Shen, C.H.[Chun-Hua],
Dick, A.[Anthony],
van den Hengel, A.J.[Anton J.],
Visual question answering: A survey of methods and datasets,
CVIU(163), No. 1, 2017, pp. 21-40.
Elsevier DOI
1712
Survey, Visual Question Answering. Visual question answering
BibRef
Tamaazousti, Y.[Youssef],
Borgne, H.L.[Hervé Le],
Popescu, A.[Adrian],
Gadeski, E.[Etienne],
Ginsca, A.[Alexandru],
Hudelot, C.[Céline],
Vision-language integration using constrained local semantic features,
CVIU(163), No. 1, 2017, pp. 41-57.
Elsevier DOI
1712
Image classification
BibRef
Das, A.[Abhishek],
Agrawal, H.[Harsh],
Zitnick, L.[Larry],
Parikh, D.[Devi],
Batra, D.[Dhruv],
Human Attention in Visual Question Answering:
Do Humans and Deep Networks Look at the Same Regions?,
CVIU(163), No. 1, 2017, pp. 90-100.
Elsevier DOI
1712
Visual Question Answering
BibRef
Teney, D.,
Wu, Q.,
van den Hengel, A.J.[Anton J.],
Visual Question Answering: A Tutorial,
SPMag(34), No. 6, November 2017, pp. 63-75.
IEEE DOI
1712
Survey, Visual Question Answering. Bioinformatics, Computer vision, Genomics, Machine learning, Visualization
BibRef
Wu, Q.[Qi],
Shen, C.H.[Chun-Hua],
Wang, P.[Peng],
Dick, A.[Anthony],
van den Hengel, A.J.[Anton J.],
Image Captioning and Visual Question Answering Based on Attributes
and External Knowledge,
PAMI(40), No. 6, June 2018, pp. 1367-1381.
IEEE DOI
1805
BibRef
Earlier: A1, A3, A2, A4, A5:
Ask Me Anything: Free-Form Visual Question Answering Based on
Knowledge from External Sources,
CVPR16(4622-4630)
IEEE DOI
1612
Computational modeling, Computer vision, Knowledge based systems,
Knowledge discovery, Resource description framework, Semantics,
visual question answering
BibRef
Lioutas, V.[Vasileios],
Passalis, N.[Nikolaos],
Tefas, A.[Anastasios],
Explicit ensemble attention learning for improving visual question
answering,
PRL(111), 2018, pp. 51-57.
Elsevier DOI
1808
Visual question answering, Explicit attention, Pictorial superiority effect
BibRef
Zhao, H.,
Fan, Q.,
Gutfreund, D.,
Fu, Y.,
Semantically Guided Visual Question Answering,
WACV18(1852-1860)
IEEE DOI
1806
data visualisation, image colour analysis, image representation,
learning (artificial intelligence),
Visualization
BibRef
Wang, Z.,
Liu, X.,
Wang, L.,
Qiao, Y.,
Xie, X.,
Fowlkes, C.,
Structured Triplet Learning with POS-Tag Guided Attention for Visual
Question Answering,
WACV18(1888-1896)
IEEE DOI
1806
convolution, data visualisation,
learning (artificial intelligence),
Visualization
BibRef
Chowdhury, I.,
Nguyen, K.,
Fookes, C.,
Sridharan, S.,
A cascaded long short-term memory (LSTM) driven generic visual
question answering (VQA),
ICIP17(1842-1846)
IEEE DOI
1803
Feature extraction, Mathematical model, Natural languages,
Principal component analysis, Task analysis, Training,
scene understanding
BibRef
Sheng, S.[Shurong],
Venkitasubramanian, A.N.[Aparna Nurani],
Moens, M.F.[Marie-Francine],
A Markov Network Based Passage Retrieval Method for Multimodal Question
Answering in the Cultural Heritage Domain,
MMMod18(I:3-15).
Springer DOI
1802
BibRef
Rosso-Mateus, A.[Andrés],
González, F.A.[Fabio A.],
Montes-y-Gómez, M.[Manuel],
A Two-Step Neural Network Approach to Passage Retrieval for Open Domain
Question Answering,
CIARP17(566-574).
Springer DOI
1802
BibRef
Zhang, Q.,
Cao, R.,
Wu, Y.N.,
Zhu, S.C.,
Mining Object Parts from CNNs via Active Question-Answering,
CVPR17(3890-3899)
IEEE DOI
1711
BibRef
Earlier: A1, A3, A4, Only:
Mining And-Or Graphs for Graph Matching and Object Discovery,
ICCV15(55-63)
IEEE DOI
1602
Object detection, Object recognition, Semantics, Strain, Training,
Visualization
BibRef
Gupta, T.[Tanmay],
Shih, K.J.[Kevin J.],
Singh, S.[Saurabh],
Hoiem, D.[Derek],
Aligned Image-Word Representations Improve Inductive Transfer Across
Vision-Language Tasks,
ICCV17(4223-4232)
IEEE DOI
1802
data visualisation, image recognition,
learning (artificial intelligence),
Visualization
BibRef
Das, A.,
Kottur, S.,
Moura, J.M.F.,
Lee, S.,
Batra, D.,
Learning Cooperative Visual Dialog Agents with Deep Reinforcement
Learning,
ICCV17(2970-2979)
IEEE DOI
1802
interactive systems, learning (artificial intelligence),
multi-agent systems, natural language interfaces, robot vision,
Visualization
BibRef
Mun, J.[Jonghwan],
Seo, P.H.[Paul Hongsuck],
Jung, I.[Ilchae],
Han, B.[Bohyung],
MarioQA: Answering Questions by Watching Gameplay Videos,
ICCV17(2886-2894)
IEEE DOI
1802
computer games, inference mechanisms, neural nets,
question answering (information retrieval), VideoQA problems,
Visualization
BibRef
Gan, C.,
Li, Y.,
Li, H.,
Sun, C.,
Gong, B.,
VQS: Linking Segmentations to Questions and Answers for Supervised
Attention in VQA and Question-Focused Semantic Segmentation,
ICCV17(1829-1838)
IEEE DOI
1802
image annotation, image segmentation, multilayer perceptrons,
question answering (information retrieval), COCO, VQA dataset,
Visualization
BibRef
Yu, Z.,
Yu, J.,
Fan, J.,
Tao, D.,
Multi-modal Factorized Bilinear Pooling with Co-attention Learning
for Visual Question Answering,
ICCV17(1839-1848)
IEEE DOI
1802
computational complexity, feature extraction, image fusion,
learning (artificial intelligence),
Visualization
BibRef
Ben-younes, H.,
Cadene, R.,
Cord, M.,
Thome, N.,
MUTAN: Multimodal Tucker Fusion for Visual Question Answering,
ICCV17(2631-2639)
IEEE DOI
1802
image fusion, image representation,
question answering (information retrieval), tensors, (VQA) tasks,
Visualization
BibRef
Zhu, C.,
Zhao, Y.,
Huang, S.,
Tu, K.,
Ma, Y.,
Structured Attentions for Visual Question Answering,
ICCV17(1300-1309)
IEEE DOI
1802
belief networks, data visualisation, image retrieval,
inference mechanisms, neural nets,
Visualization
BibRef
Hu, R.,
Andreas, J.,
Rohrbach, M.,
Darrell, T.J.,
Saenko, K.,
Learning to Reason: End-to-End Module Networks for Visual Question
Answering,
ICCV17(804-813)
IEEE DOI
1802
computational linguistics, grammars, natural language processing,
neural net architecture,
Visualization
BibRef
Jain, U.[Unnat],
Zhang, Z.Y.[Zi-Yu],
Schwing, A.[Alexander],
Creativity: Generating Diverse Questions Using Variational
Autoencoders,
CVPR17(5415-5424)
IEEE DOI
1711
Artificial intelligence, Creativity, Hidden Markov models,
Training, Transforms, Visualization
BibRef
de Vries, H.[Harm],
Strub, F.[Florian],
Chandar, S.[Sarath],
Pietquin, O.[Olivier],
Larochelle, H.[Hugo],
Courville, A.[Aaron],
GuessWhat?! Visual Object Discovery through Multi-modal Dialogue,
CVPR17(4466-4475)
IEEE DOI
1711
Databases, Games, Knowledge discovery,
Natural languages, Visualization
BibRef
Nam, H.[Hyeonseob],
Ha, J.W.[Jung-Woo],
Kim, J.[Jeonghee],
Dual Attention Networks for Multimodal Reasoning and Matching,
CVPR17(2156-2164)
IEEE DOI
1711
Cognition, Knowledge discovery, Mathematical model,
Neural networks, Semantics, Visualization
BibRef
Johnson, J.[Justin],
Hariharan, B.[Bharath],
van der Maaten, L.[Laurens],
Hoffman, J.,
Fei-Fei, L.[Li],
Zitnick, C.L.[C. Lawrence],
Girshick, R.[Ross],
Inferring and Executing Programs for Visual Reasoning,
ICCV17(3008-3017)
IEEE DOI
1802
BibRef
Earlier: A1, A2, A3, A5, A6, A7, Only:
CLEVR: A Diagnostic Dataset for Compositional Language and Elementary
Visual Reasoning,
CVPR17(1988-1997)
IEEE DOI
1711
backpropagation, image matching,
learning (artificial intelligence), neural nets,
Visualization.
Cognition, Image color analysis, Metals, Semantics, Shape.
BibRef
Yu, Y.,
Ko, H.,
Choi, J.,
Kim, G.,
End-to-End Concept Word Detection for Video Captioning, Retrieval,
and Question Answering,
CVPR17(3261-3269)
IEEE DOI
1711
Detectors, Knowledge discovery, Motion pictures, Semantics, Training, Visualization
BibRef
Teney, D.,
Liu, L.,
van den Hengel, A.J.[Anton J.],
Graph-Structured Representations for Visual Question Answering,
CVPR17(3233-3241)
IEEE DOI
1711
Feature extraction, Knowledge discovery, Neural networks,
Syntactics, Training, Visualization
BibRef
Das, A.[Abhishek],
Kottur, S.[Satwik],
Gupta, K.[Khushi],
Singh, A.[Avi],
Yadav, D.[Deshraj],
Moura, J.M.F.[José M. F.],
Parikh, D.[Devi],
Batra, D.[Dhruv],
Visual Dialog,
CVPR17(1080-1089)
IEEE DOI
1711
Hold a dialog with humans in a natural visual context.
History, Knowledge discovery, Protocols, Visualization, Wheelchairs
BibRef
Zhu, Y.,
Lim, J.J.,
Fei-Fei, L.[Li],
Knowledge Acquisition for Visual Question Answering via Iterative
Querying,
CVPR17(6146-6155)
IEEE DOI
1711
Computational modeling, Data models, Generators,
Knowledge discovery, Standards, Visualization
BibRef
Bolaños, M.[Marc],
Peris, Á.[Álvaro],
Casacuberta, F.[Francisco],
Radeva, P.[Petia],
VIBIKNet: Visual Bidirectional Kernelized Network for Visual Question
Answering,
IbPRIA17(372-380).
Springer DOI
1706
BibRef
Lin, Y.T.[Yue-Tan],
Pang, Z.Y.[Zhang-Yang],
Li, Y.[Yanan],
Wang, D.H.[Dong-Hui],
Simple and effective visual question answering in a single modality,
ICIP16(2276-2280)
IEEE DOI
1610
Benchmark testing. Not just add text to image questions.
BibRef
Kafle, K.[Kushal],
Kanan, C.[Christopher],
An Analysis of Visual Question Answering Algorithms,
ICCV17(1983-1991)
IEEE DOI
1802
BibRef
Earlier:
Answer-Type Prediction for Visual Question Answering,
CVPR16(4976-4984)
IEEE DOI
1612
case-based reasoning, computer vision, data visualisation,
image retrieval, neural nets,
Visualization
BibRef
Jang, Y.,
Song, Y.,
Yu, Y.,
Kim, Y.,
Kim, G.,
TGIF-QA:
Toward Spatio-Temporal Reasoning in Visual Question Answering,
CVPR17(1359-1367)
IEEE DOI
1711
Cognition, Crowdsourcing, Image color analysis,
Knowledge discovery, Motion pictures, Visualization
BibRef
Wang, P.,
Wu, Q.,
Shen, C.,
van den Hengel, A.J.[Anton J.],
The VQA-Machine: Learning How to Use Existing Vision Algorithms to
Answer New Questions,
CVPR17(3909-3918)
IEEE DOI
1711
Cognition, Data mining, Neural networks, Prediction algorithms,
Telescopes, Visualization
BibRef
Yu, D.,
Fu, J.,
Mei, T.,
Rui, Y.,
Multi-level Attention Networks for Visual Question Answering,
CVPR17(4187-4195)
IEEE DOI
1711
Feature extraction, Knowledge discovery, Natural languages,
Recurrent neural networks, Semantics, Visualization
BibRef
Kembhavi, A.,
Seo, M.,
Schwenk, D.,
Choi, J.,
Farhadi, A.,
Hajishirzi, H.,
Are You Smarter Than a Sixth Grader? Textbook Question Answering for
Multimodal Machine Comprehension,
CVPR17(5376-5384)
IEEE DOI
1711
Cognition, Knowledge discovery, Natural languages,
Training, Visualization
BibRef
Goyal, Y.,
Khot, T.,
Summers-Stay, D.,
Batra, D.,
Parikh, D.,
Making the V in VQA Matter: Elevating the Role of Image Understanding
in Visual Question Answering,
CVPR17(6325-6334)
IEEE DOI
1711
Benchmark testing, Data collection, Data models,
Knowledge discovery, Protocols, Visualization
BibRef
Ganju, S.,
Russakovsky, O.,
Gupta, A.,
What's in a Question:
Using Visual Questions as a Form of Supervision,
CVPR17(6422-6431)
IEEE DOI
1711
Artificial intelligence, Computational modeling,
Dogs, Image color analysis, SPICE, Visualization
BibRef
Ramakrishnan, S.K.,
Pal, A.,
Sharma, G.,
Mittal, A.,
An Empirical Evaluation of Visual Question Answering for Novel
Objects,
CVPR17(7312-7321)
IEEE DOI
1711
Knowledge discovery, Recurrent neural networks, Training,
Training data, Visualization, Vocabulary
BibRef
Maharaj, T.,
Ballas, N.,
Rohrbach, A.,
Courville, A.,
Pal, C.,
A Dataset and Exploration of Models for Understanding Video Data
through Fill-in-the-Blank Question-Answering,
CVPR17(7359-7368)
IEEE DOI
1711
Computational modeling, Motion pictures, Natural languages,
Training, Visualization, Voltage, control
BibRef
Xu, H.J.[Hui-Juan],
Saenko, K.[Kate],
Ask, Attend and Answer:
Exploring Question-Guided Spatial Attention for Visual Question Answering,
ECCV16(VII: 451-466).
Springer DOI
1611
Visual Question Answering.
BibRef
Jabri, A.[Allan],
Joulin, A.[Armand],
van der Maaten, L.[Laurens],
Revisiting Visual Question Answering Baselines,
ECCV16(VIII: 727-739).
Springer DOI
1611
BibRef
Yang, Z.C.[Zi-Chao],
He, X.D.[Xiao-Dong],
Gao, J.F.[Jian-Feng],
Deng, L.[Li],
Smola, A.[Alex],
Stacked Attention Networks for Image Question Answering,
CVPR16(21-29)
IEEE DOI
1612
BibRef
Sadeghi, F.[Fereshteh],
Divvala, S.K.[Santosh K.],
Farhadi, A.[Ali],
VisKE: Visual knowledge extraction and question answering by visual
verification of relation phrases,
CVPR15(1456-1464)
IEEE DOI
1510
Visual verification of text relationships.
BibRef
Liu, Y.[Yang],
Liu, J.[Jie],
Wang, D.[Dong],
Cheng, J.[Jian],
A robust multivariate reranking algorithm for Question Answering
enrichment,
ICIP12(1917-1920).
IEEE DOI
1302
BibRef
Varekamp, C.[Chris],
van de Walle, P.[Patrick],
de Putter, M.[Marc],
Question interface for 3D picture creation on an autostereoscopic
digital picture frame,
3DTV09(1-4).
IEEE DOI
0905
BibRef
Chapter on Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection continues in
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