Visual7W: Grounded Question Answering in Images

Zhu, Yuke, Groth, Oliver, Bernstein, Michael, Fei-Fei, Li·2016·2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Cited by (778)

Items 501–600 of 778

  1. Learning neighbor-enhanced region representations and question-guided visual representations for visual question answering
    Ling Gao, Hongda Zhang, Nan Sheng, Lida Shi, Hao Xu · 2023 · Expert Systems with Applications
  2. A focus fusion attention mechanism integrated with image captions for knowledge graph-based visual question answering
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  3. Video Dialog via Multi-Grained Convolutional Self-Attention Context Networks
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  4. Visual Grounding in Video for Unsupervised Word Translation
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  5. Double-layer affective visual question answering network
    Zihan Guo, Dezhi Han, Francisco Isidro Massetto, Kuan‐Ching Li · 2020 · Computer Science and Information Systems
  6. Multi-type decision fusion network for visual Q&A
    An-An Liu, Zimu Lu, Ning Xu, Weizhi Nie, Wenhui Li · 2021 · Image and Vision Computing
  7. Diversity and Consistency: Exploring Visual Question-Answer Pair Generation
    Sen Yang, Qingyu Stephanie Zhou, Dawei Feng, Yang Liu, Chao Li, Yunbo Cao, Dongsheng Li · 2021 · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
  8. SemEval-2022 Task 9: R2VQ – Competence-based Multimodal Question Answering
    Jingxuan Tu, Eben Holderness, Marco Maru, Simone Conia, Kyeongmin Rim, Kelley Lynch, Richard A. Brutti, Roberto Navigli A, James D. Pustejovsky · 2022 · International Workshop on Semantic Evaluation (SemEval)
  9. An Xception-GRU Model for Visual Question Answering in the Medical Domain.
    Shengyan Liu, Xiaozhi Ou, Jiao Che, Xiaobing Zhou, Hanyi Ding · 2019 · CLEF (Working Notes)
  10. From Two Graphs to N Questions: A VQA Dataset for Compositional Reasoning on Vision and Commonsense.
    Difei Gao, Ruiping Wang, Shiguang Shan, Xilin Chen · 2019 · arXiv (Cornell University)
  11. C3VQG: Category Consistent Cyclic Visual Question Generation
    Shagun Uppal, Anish Madan, Sarthak Bhagat, Yu, Yi, Rajiv Ratn Shah · 2020 · arXiv (Cornell University)
  12. Hybrid Convolutional Neural Networks Based Framework for Skimmed Milk Powder Price Forecasting
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  13. Channel spatial attention based single-shot object detector for autonomous vehicles
    Divya Singh, Rajeev Srivastava · 2021 · Multimedia Tools and Applications
  14. Enhancing Visual Question Answering Using Dropout
    Zhiwei Fang, Jing Liu, Yanyuan Qiao, Qu Tang, Yong Li, Hanqing Lu · 2018 · ACM International Conference on Multimedia (ACM MM)
  15. A Convolutional Neural Network for Sentiment Analysis of TripAdvisor reviews
    Dimitrios Amanatidis, Michael F. Dossis, Ifigeneia Mylona · 2019 · South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM)
  16. PGCL: Prompt guidance and self-supervised contrastive learning-based method for Visual Question Answering
    Ling Gao, Hongda Zhang, Yiming Liu, Nan Sheng, Haotian Feng, Hao Xu · 2024 · Expert Systems with Applications
  17. ViOCRVQA: novel benchmark dataset and VisionReader for visual question answering by understanding Vietnamese text in images
    Huy Quang Pham, Thang Kien-Bao Nguyen, Quan Van Nguyen, Dan Quang Tran, Nghia Hieu Nguyen, Kiet Van Nguyen, Ngan Luu-Thuy Nguyen · 2025 · Multimedia Systems
  18. Image Caption Description of Traffic Scene Based on Deep Learning
    Shiru Qu, Yuling Xi, Songtao Ding · 2018 · Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University
  19. A survey of deep learning-based visual question answering
    Tongyuan Huang, Yuling Yang, Xuejiao Yang · 2021 · Journal of Central South University
  20. 3DVQA: Visual Question Answering for 3D Environments
    Yasaman Etesam, Leon Kochiev, Angel X. Chang · 2022 · Canadian Conference on Computer and Robot Vision
  21. SoftSkip
    Dulanga Weerakoon, Vigneshwaran Subbaraju, Tuan Tran, Archan Misra · 2022 · ACM International Conference on Multimedia (ACM MM)
  22. FocusQA: Open-Domain Question Answering with a Context in Focus
    Gianni Barlacchi, Ivano Lauriola, Alessandro Moschitti, Marco Del Tredici, Xiaoyu Shen, Thuy Vu, Bill Byrne, Adrià de Gispert · 2022 · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
  23. Aligning Salient Objects to Queries: A Multi-modal and Multi-object Image Retrieval Framework
    Sounak Dey, Anjan Dutta, Suman K. Ghosh, Ernest Valveny, Josep Lladós, Umapada Pal · 2019 · Lecture notes in computer science
  24. Shengyan at VQA-Med 2020: An Encoder-Decoder Model for Medical Domain Visual Question Answering Task.
    Shengyan Liu, Hanyi Ding, Xiaobing Zhou · 2020 · CLEF (Working Notes)
  25. Open-ended visual question answering
    Issey Masuda · 2016 · arXiv (Cornell University)
  26. c-TextGen: Conditional Text Generation for Harmonious Human-Machine Interaction.
    Bin Guo, Hao Wang, Yasan Ding, Shaoyang Hao, Yueqi Sun, Zhiwen Yu · 2019 · arXiv (Cornell University)
  27. Grid-VLP: Revisiting Grid Features for Vision-Language Pre-training
    Ming Yan, Haiyang Xu, Chenliang Li, Bin Bi, Junfeng Tian, Min Gui, Wei Wang · 2021 · arXiv (Cornell University)
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    Nanyi Fei, Zhiwu Lu, Yizhao Gao, Guoxing Yang, Yuqi Huo, Jingyuan Wen, Haoyu Lu, Ruihua Song, Xin Gao, Tao Xiang et al. · 2021 · arXiv (Cornell University)
  29. 3D U-Net With Attention and Focal Loss for Coronary Tree Segmentation
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  30. Video question answering via traffic knowledge database and question classification
    Xiaoyong Sun, Yu Dai, Yuchen Wang, Weifeng Ma, Xuefen Lin · 2024 · Multimedia Systems
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    Jiabo Ye, Junfeng Tian, Ming Yan, Haiyang Xu, Qinghao Ye, Yaya Shi, Xiaoshan Yang, Xuwu Wang, Ji Zhang, Liang He et al. · 2024 · ACM Transactions on Multimedia Computing Communications and Applications
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  33. End-to-End Recurrent Cross-Modality Attention for Video Dialogue
    Yun-Wei Chu, Kuan-Yen Lin, Chao-Chun Hsu, Lun‐Wei Ku · 2021 · IEEE/ACM Transactions on Audio Speech and Language Processing
  34. Video Captcha Proposition based on VQA, NLP, Deep Learning and Computer Vision
    Era Johri, Leesa Dharod, Rasika Joshi, Shreya Kulkarni, Vaibhavi Kundle · 2022 · International Conference on Advances in Science and Technology (ICAST)
  35. Multi-stage reasoning on introspecting and revising bias for visual question answering
    An-An Liu, Zimu Lu, Ning Xu, Min Liu, Chenggang Clarence Yan, Bolun Zheng, Bo Lv, Duan Yulong, Zhuang Shao, Xuanya Li · 2023 · ACM Transactions on the Web
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  37. Multimodal attention-driven visual question answering for Malayalam
    Abhishek Gopinath Kovath, Anand Nayyar, O. K. Sikha · 2024 · Neural Computing and Applications
  38. JUST at VQA-Med: A VGG-Seq2Seq Model.
    Bashar Talafha, Mahmoud Al‐Ayyoub · 2018 · CLEF (Working Notes)
  39. BTDP
    Zhiwei Fang, Jing Liu, Xueliang Liu, Qu Tang, Yong Li, Hanqing Lu · 2019 · ACM Transactions on Multimedia Computing Communications and Applications
  40. Exploring Weaknesses of VQA Models through Attribution Driven Insights
    Shaunak Halbe · 2020
  41. TAM at VQA-Med 2021: A Hybrid Model with Feature Extraction and Fusion for Medical Visual Question Answering.
    Yong Li, Zhenguo Yang, Tianyong Hao · 2021 · CLEF (Working Notes)
  42. Referring Image Segmentation via Language-Driven Attention
    Ding-Jie Chen, He‐Yen Hsieh, Tyng-Luh Liu · 2021 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
  43. SC- Tune: Unleashing Self-Consistent Referential Comprehension in Large Vision Language Models
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  44. COCO is “ALL” You Need for Visual Instruction Fine-tuning
    Xiaotian Han, Yiqi Wang, Bohan Zhai, Quanzeng You, Hongxia Yang · 2024 · IEEE International Conference on Multimedia and Expo (ICME)
  45. Visual Question Answering using Explicit Visual Attention
    Vasileios Lioutas, Nikolaos Passalis, Anastasios Tefas · 2018 · IEEE International Symposium on Circuits and Systems proceedings
  46. Can Image Captioning Help Passage Retrieval in Multimodal Question Answering?
    Shurong Sheng, Katrien Laenen, Marie‐Francine Moens · 2019 · Lecture notes in computer science
  47. Deep Bayesian Network for Visual Question Generation
    Badri N. Patro, Vinod K Kurmi, Sandeep Kumar, Vinay P. Namboodiri · 2020 · IEEE Winter Conference on Applications of Computer Vision
  48. Play it again IMuCo! Music Composition to Match your Mood
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  50. Deep Multimodal Reinforcement Network with Contextually Guided Recurrent Attention for Image Question Answering
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  51. Video Question Answering Using a Forget Memory Network
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  52. Mind the Context: The Impact of Contextualization in Neural Module Networks for Grounding Visual Referring Expressions
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  53. Scene Graph Parsing as Dependency Parsing
    Yu-Siang Wang, Chenxi Liu, Xiaohui Zeng, Alan Yuille · 2018 · arXiv (Cornell University)
  54. Constructing Hierarchical Q&A Datasets for Video Story Understanding
    Yu‐Jung Heo, Kyoung-Woon On, Seong-Ho Choi, Jaeseo Lim, Jinah Kim, Jeh-Kwang Ryu, Byung-Chull Bae, Byoung‐Tak Zhang · 2019 · arXiv (Cornell University)
  55. Multimodal Differential Network for Visual Question Generation
    Badri N. Patro, Sandeep Kumar, Vinod K Kurmi, Vinay P. Namboodiri · 2018 · arXiv (Cornell University)
  56. Driver Eye Movements and the Application in Autonomous Driving
    Ye Xia · 2019 · eScholarship (California Digital Library)
  57. Seeing past words: Testing the cross-modal capabilities of pretrained V&L models
    Letiția Pârcălăbescu, Albert Gatt A, Anette Frank, Iacer Calixto · 2020 · arXiv (Cornell University)
  58. Visual Question Answering
    Pankti Kansara · 2018
  59. Unsupervised Visual Chain-of-Thought Reasoning via Preference Optimization
    Kesen Zhao, Beier Zhu, Qianru Sun, H L Zhang · 2025 · IEEE/CVF International Conference on Computer Vision (ICCV)
  60. Understanding Museum Exhibits using Vision-Language Reasoning
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  61. Counting Attention Based on Classification Confidence for Visual Question Answering
    Mingqin Chen, Yilei Wang, Shan Chen, Yingjie Wu · 2019 · IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA)
  62. Visual Question Answering reasoning with external knowledge based on bimodal graph neural network
    Zhenyu Yang, Lei Wu, Peian Wen, Peng Chen · 2023 · Electronic Research Archive
  63. Can Commonsense Knowledge Improve CLIP's Performance in Cross-Domain VQA?
    Mohamad Hassan N C, Ankit Jha, Moloud Abdar, Biplab Banerjee · 2024 · Indian Conference on Computer Vision, Graphics and Image Processing
  64. Advancements in Large-Scale Image and Text Representation Learning: A Comprehensive Review and Outlook
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  65. RefChartQA: Grounding Visual Answer on Chart Images Through Instruction Tuning
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  66. An Entropy Clustering Approach for Assessing Visual Question Difficulty
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  67. NAAQA: A Neural Architecture for Acoustic Question Answering
    Jerome Abdelnour, Jean Rouat, Giampiero Salvi · 2022 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  68. A Survey on Visual Question Answering
    Mrinal Banchhor, Pradeep Singh · 2021 · IEEE Global Conference for Advancement in Technology (GCAT)
  69. Flexible Visual Grounding
    Yongmin Kim, Chenhui Chu, Sadao Kurohashi · 2022 · Annual Meeting of the Association for Computational Linguistics: Student Research Workshop (ACL SRW)
  70. ChiQA
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  71. Consistency Conditioned Memory Augmented Dynamic Diagnosis Model for Medical Visual Question Answering
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  72. Bidirectional cascaded multimodal attention for multiple choice visual question answering
    Sushmita Upadhyay, Sanjaya Shankar Tripathy · 2025 · Machine Vision and Applications
  73. CoSIm: Commonsense Reasoning for Counterfactual Scene Imagination
    Hyounghun Kim, Abhay Zala, Mohit Bansal · 2022 · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT)
  74. NewsStories: Illustrating Articles with Visual Summaries
    Reuben Tan, Bryan A. Plummer, Kate Saenko, John P. Lewis, Avneesh Sud, Thomas Leung · 2022 · Lecture notes in computer science
  75. Activity Forecasting
    Kris Kitani, De-An Huang, Wei-Chiu Ma · 2017 · Elsevier eBooks
  76. Remember and forget: video and text fusion for video question answering
    Feng Gao, Yuanyuan Ge, Yongge Liu · 2018 · Multimedia Tools and Applications
  77. Large-Scale Training Framework for Video Annotation
    Seong Jae Hwang, Joonseok Lee, Balakrishnan Varadarajan, A. Gordon, Zheng Xu, Apostol Natsev · 2019 · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
  78. Video Alignment Using Bi-Directional Attention Flow in a Multi-Stage Learning Model
    Reham Abobeah, Amin Shoukry, Jiro Katto · 2020 · IEEE Access
  79. Inductive Biases for Low Data VQA: A Data Augmentation Approach
    Narjes Askarian, Ehsan Abbasnejad, Ingrid Zukerman A, Wray Buntine, Gholamreza Haffari · 2022 · IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW)
  80. Enhancing Augmented Reality Dialogue Systems with Multi-Modal Referential Information
    Ziyao He, Zhongmin Cai · 2023 · China Automation Congress (CAC)
  81. Optimal Image Feature Ranking and Fusion for Visual Question Answering
    Sruthy Manmadhan, Binsu C. Kovoor · 2020 · Advances in intelligent systems and computing
  82. MAGNet: Multi-Region Attention-Assisted Grounding of Natural Language Queries at Phrase Level
    Amar Shrestha, Krittaphat Pugdeethosapol, Haowen Fang, Qinru Qiu · 2021 · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition
  83. From Visual to Acoustic Question Answering
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  84. Deep Exemplar Networks for VQA and VQG
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  85. Label-Descriptive Patterns and their Application to Characterizing Classification Errors
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  86. Viclevr: A Visual Reasoning Dataset and Hybrid Multimodal Fusion Model for Visual Question Answering in Vietnamese
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  87. Advancing Causal Intervention in Image Captioning With Causal Prompt
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  88. BACON: Improving Clarity of Image Captions via Bag-of-Concept Graphs
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  89. Visual Grounding with Attention-Driven Constraint Balancing
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  90. Embodied Referring Expression Comprehension in Human-Robot Interaction
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    Shaofeng Yin, Ting Lei, Yang Liu · 2025 · IEEE International Conference on Computer Vision
  92. Spatio-Temporal Context Networks for Video Question Answering
    Kun Gao, Yahong Han · 2018 · Lecture notes in computer science
  93. Augmenting Visual Question Answering with Semantic Frame Information in a Multitask Learning Approach
    Mehrdad Alizadeh, Barbara Di Eugenio · 2020 · IEEE International Conference on Semantic Computing (ICSC)
  94. Revisiting audio visual scene-aware dialog
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  95. The Core of Smart Cities: Knowledge Representation and Descriptive Framework Construction in Knowledge-Based Visual Question Answering
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  96. GQA-it: Italian Question Answering on Image Scene Graphs
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  97. Visual Question Answering System for Indian Regional Languages
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  99. Multimodal Information Retrieval
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  100. Robust stochastic gradient descent with momentum based framework for enhanced chest X-ray image diagnosis
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