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 601–700 of 778

  1. VADS: Visuo-Adaptive DualStrike attack on visual question answer
    Boyuan Zhang, Jiaxu Li, Yucheng Shi, Yahong Han, Qinghua Hu · 2024 · Computer Vision and Image Understanding
  2. Emotional Theory of Mind: Bridging Fast Visual Processing with Slow Linguistic Reasoning
    Yasaman Etesam, Özge Nilay Yalçın, Chuxuan Zhang, Angelica Lim · 2024 · International Conference on Affective Computing and Intelligent Interaction and workshops
  3. AVCaps: An Audio-Visual Dataset With Modality-Specific Captions
    Parthasaarathy Sudarsanam, Irene Martín-Morató, Aapo Hakala, Tuomas I. Virtanen · 2025 · IEEE Open Journal of Signal Processing
  4. Multi-modality guided cross-attention for visual question answering
    Muhammad Zeeshan Khan, Thanh Thi Nguyen, Thanh Thi Nguyen, Anuroop Gaddam, Imran Razzak · 2025 · Multimedia Tools and Applications
  5. Affective question answering on video
    Nelson Ruwa, Qirong Mao, Liangjun Wang, Jianping Gou · 2019 · Neurocomputing
  6. "A Distorted Skull Lies in the Bottom Center..." Identifying Paintings from Text Descriptions
    Anupam Guha, Mohit Iyyer, Jordan Lee Boyd-Graber · 2016
  7. SIGGRAPH Asia 2016
    Ruizhen Hu, Oliver Matias van Kaick, Youyi Zheng, Manolis Savva · 2016 · SIGGRAPH Asia Courses
  8. Two-Step Joint Attention Network for Visual Question Answering
    Weiming Zhang, Chunhong Zhang, Pei Liu, Zhiqiang Zhan, Xiaofeng Qiu · 2017 · International Conference on Big Data Computing and Communications (BigCom)
  9. Initialized Frame Attention Networks for Video Question Answering
    Kun Gao, Xianglei Zhu, Yahong Han · 2018 · Communications in computer and information science
  10. Selective Comprehension for Referring Expression by Prebuilt Entity Dictionary with Modular Networks
    Enjie Cui, Jianming Wang, Jiayu Liang, Guanghao Jin · 2018 · Lecture notes in computer science
  11. Visual Question Answering Agent with Visual and Textual Attention
    Lorena Kodra, Elinda Kajo Meçe · 2018 · International Conference on E-business and Mobile Commerce (ICEMC)
  12. Visual question answering algorithm based on image caption
    Wenliang Cai, Guoyong Qiu · 2019 · IEEE Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)
  13. Visual Question Answering Using Video Clips
    Mandar Bhalerao, Shlok Gujar, Aditya Bhave, Anant V. Nimkar · 2019 · IEEE Bombay Section Signature Conference (IBSSC)
  14. Visual Question Generation Under Multi-granularity Cross-Modal Interaction
    Zi Chai, Xiaojun Wan, Soyeon Caren Han, Josiah Poon · 2023 · Lecture notes in computer science
  15. On Advances in Text Generation from Images Beyond Captioning: A Case Study in Self-Rationalization
    Shruti Palaskar, Akshita Bhagia, Yonatan Bisk, Florian Metze, Alan W. Black, Ana Marasović · 2022 · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
  16. Towards Unconstrained Pointing Problem of Visual Question Answering: A Retrieval-based Method
    Wenlong Cheng, Yan Huang, Liang Wang · 2018 · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition
  17. MUMC: Minimizing uncertainty of mixture of cues
    Badri N. Patro, Vinod K Kurmi, Sandeep Kumar, Vinay P. Namboodiri · 2021 · Image and Vision Computing
  18. Lung Inflammatory Classification of Diseases using X-ray Images
    Hamza Haruna Mohanned, Selim Sürücü, Roya Choupani · 2021 · International Conference on Computer Science and Engineering (UBMK)
  19. Linguistically Driven Graph Capsule Network for Visual Question Reasoning
    Qingxing Cao, Xiaodan Liang, Keze Wang, Liang Lin · 2020 · arXiv (Cornell University)
  20. Visual Question Answering as a Multi-Task Problem
    Amelia Pollard, Jonathan Shapiro · 2020 · arXiv (Cornell University)
  21. Explanation vs Attention: A Two-Player Game to Obtain Attention for VQA
    Badri N. Patro, Anupriy, Vinay P. Namboodiri · 2020 · AAAI Publications (The Association for the Advancement of Artificial Intelligence (AAAI))
  22. Towards Mathematical Reasoning: A Multimodal Deep Learning Approach
    Abhishek Sinha, Kumar Ayush · 2018 · Proceedings - International Conference on Image Processing
  23. Learning to Reason on Tree Structures for Knowledge-Based Visual Question Answering
    Qifeng Li, Xinyi Tang, Yi Jian · 2022 · Sensors
  24. An Automated Mechanism for Retrospective Event Discovery via Visual Query Responses
    Pranita P. Deshmukh, Shanmugam Poonkuntran · 2024 · IEEE Access
  25. Enhancing Visual Question Answering with Beam Search in Transformer Models
    Pratiksh Kumar, Rishik Gupta, Vanshika Mishra, Prakhar Shukla, Bagesh Kumar, Pratham Bhatia, Abhinav Upadhyay · 2025 · Communications in computer and information science
  26. A Continual Learning Approach for Embodied Question Answering with Generative Adversarial Imitation Learning
    Xin Zeng, Haonan Luo, Zihang Wang, Sijia Li, Zhixuan Shen, Tianrui Li · 2025 · IEEE International Conference on Acoustics Speech and Signal Processing
  27. Ara-DAQUAR: Into Arabic Question Answering on Real World Images
    Mohamed Khenchouch, Ahmed El Youssefi, Imad Zeroual, Anoual El Kah · 2025 · Lecture notes in networks and systems
  28. Enhancing VQA with Emphasis-Based Soft Attention
    Sushmita Upadhyay, Sanjaya Shankar Tripathy · 2025 · Signal Image and Video Processing
  29. Inferential and Commonsense Visual Question Generation
    Chao Bi, Shuhui Wang, Na Li, Qingming Huang · 2025 · IEEE Transactions on Multimedia
  30. Eliminate-Then-Select: A human-centric reasoning framework for educational question answering with LLMs
    Mingsen Wang, Zhaoqiang Li, Xuegang Zhao, Qihan Guo · 2025 · Information Processing & Management
  31. MMtuning: An Advanced Multi-adapter Framework for Efficient Multimodal Large Language Models Fine-Tuning
    Li Qiao, Haowen Wang, Kazunori Sugiura, Keren Liu, Jinglu Hu · 2025 · Lecture notes in computer science
  32. Visual Context and Commonsense-Guided Causal Chain-of-Thoughts for Visual Commonsense Reasoning
    Xinyu Li, Jing Zhao, Tongquan Wei, Shiliang Sun · 2026 · IEEE Transactions on Multimedia
  33. MMDocBench: Benchmarking Large Vision-Language Models for Fine-Grained Visual Document Understanding and Grounding
    Fengbin Zhu, Ziyang Liu, Xiang Yao Ng, Haohui Wu, Wenjie Wang, Fuli Feng, Chao Wang, Huanbo Luan, Tat‐Seng Chua · 2026 · Lecture notes in computer science
  34. Multi‐Grained Vision–Language Alignment for Domain Generalised Person Re‐Identification
    Jiachen Li, Xiaojin Gong, Dongping Zhang · 2026 · IET Computer Vision
  35. Bootstrapping Grounded Chain-of-Thought in Multimodal Llms for Data-Efficient Model Adaptation
    Jiaer Xia, Bingkui Tong, Yuhang Zang, Rui Shao, Kaiyang Zhou · 2025 · IEEE/CVF International Conference on Computer Vision (ICCV)
  36. Acknowledging Focus Ambiguity in Visual Questions
    Chongyan Chen, Yu–Yun Tseng, Zhuoheng Li, Anush Venkatesh, Danna Gurari · 2025 · IEEE/CVF International Conference on Computer Vision (ICCV)
  37. PinterNet: A thematic label curation tool for large image datasets
    Ruoqian Liu, Diana Palsetia, Paul Arindam, Reda Al-Bahrani, Dipendra Jha, Wei‐keng Liao, Ankit Agrawal, Alok Choudhary · 2016 · IEEE International Conference on Big Data (BigData)
  38. From image to language and back again
    Anja Belz, Tamara L. Berg, L. YU · 2018 · Natural Language Engineering
  39. A model-based approach to visual reasoning on CNLVR dataset
    Shailaja Keyur Sampat, Joohyung Lee · 2018
  40. Answer Distillation for Visual Question Answering
    Zhiwei Fang, Jing Liu, Qu Tang, Yong Li, Hanqing Lu · 2019 · Lecture notes in computer science
  41. Watch and Ask: Video Question Generation
    Shenglei Huang, Shaohan Hu, Bencheng Yan · 2019 · Lecture notes in computer science
  42. Adversarial Hard Attention Adaptation
    Hui Tao, Jun He, Quan-Jie Cao, Lei Zhang · 2020 · Information
  43. VisDG: Towards Spontaneous Visual Dialogue Generation
    Qichuan Yang, Liuxin Zhang, Yang Zhang, Jinghua Gao · 2021 · International Joint Conference on Neural Networks (IJCNN)
  44. Pre-training Model Based on Parallel Cross-Modality Fusion Layer
    Xuewei Li, Dezhi Han, Chin‐Chen Chang · 2022 · PLoS ONE
  45. Scene-Aware Prompt for Multi-modal Dialogue Understanding and Generation
    Bin Li, Yixuan Weng, Ziyu Ma, Bin Sun, Shutao Li A · 2022 · Lecture notes in computer science
  46. Classical Visual Question Answering
    Qi Wu, Peng Wang, Xin Yue Wang, Xiaodong He, Wenwu Zhu · 2022 · Advances in computer vision and pattern recognition
  47. FNet with Cross-Attention Encoder for Visual Question Answering
    Samar I. Zekrallah, Nour Eldeen M. Khalifa, Aboul Ella Hassanin · 2022 · Lecture notes on data engineering and communications technologies
  48. Exploiting Query Knowledge Embedding and Trilinear Joint Embedding for Visual Question Answering
    Zheng Chen, Yaxin Wen · 2023 · Lecture notes in computer science
  49. Multimodal Visual Question Answering Model Enhanced with Image Emotional Information
    Jin Cai, Guoyong Cai · 2023
  50. Overview of the NLPCC 2023 Shared Task 10: Learn to Watch TV: Multimodal Dialogue Understanding and Response Generation
    Yueqian Wang, Yuxuan Wang, Dongyan Zhao · 2023 · Lecture notes in computer science
  51. Dataset Bias Mitigation in Multiple-Choice Visual Question Answering and Beyond
    Zhecan Wang, Long Chen, Haoxuan You, Keyang Xu, Yicheng He, Wenhao Li, Noel Codella, Kai-Wei Chang, Shih‐Fu Chang · 2023 · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
  52. Investigation of Available Datasets and Techniques for Visual Question Answering
    Lata A. Bhavnani, Narendra M Patel · 2023 · INTERNATIONAL JOURNAL OF NEXT-GENERATION COMPUTING
  53. Across Images and Graphs for Question Answering
    Zhenyu Wen, Jiaxu Qian, Bin Qian, Yuan Qin, Jianbin Qin, Qi Xuan, Ye Yuan · 2024 · IEEE International Conference on Data Engineering (ICDE)
  54. VG-Annotator: Vision-Language Models as Query Annotators for Unsupervised Visual Grounding
    Jiabo Ye, Junfeng Tian, Xiaoshan Yang, Zhenru Zhang, Anwen Hu, Ming Yan, Ji Zhang, Liang He, Xin Alex Lin · 2024 · IEEE International Conference on Multimedia and Expo (ICME)
  55. Focal Correlation and Event-Based Focal Visual Content Text Attention for Past Event Search
    Pranita P. Deshmukh, Shanmugam Poonkuntran · 2025 · Computers
  56. Simple and effective visual question answering in a single modality
    Yuetan Lin, Zhangyang Pang, Yanan Li, Donghui Wang · 2016 · Proceedings - International Conference on Image Processing
  57. Semantic Situation Extraction from Satellite Image Based on Neural Networks
    Xutao Qu, Dongye Zhuang, Haibin Xie · 2019 · Lecture notes in computer science
  58. Automatic Classification and Reporting of Multiple Common Thorax Diseases Using Chest Radiographs
    Xiaosong Wang, Yifan Peng, Le Lü, Zhiyong Lu, Ronald M. Summers · 2019 · Advances in computer vision and pattern recognition
  59. Cross-Modal Representation
    Zhiyuan Liu, Yankai Lin, Maosong Sun · 2020 · Springer eBooks
  60. The Emergence, Advancement and Future of Textual Answer Triggering
    Kingsley Nketia Acheampong, Wenhong Tian, Emmanuel Boateng Sifah, Kwame Obour-Agyekum Opuni-Boachie · 2020 · Advances in intelligent systems and computing
  61. Review of VQA : Datasets and Approaches
    Devika Patadia, Shivam Kejriwal, Richa Shah, Neha Katre · 2021 · International Conference on Advances in Computing, Communication and Control (ICAC3)
  62. Integrating Scene Image and Conversational Text to Develop Human–Machine Dialogue
    Hao‐Yi Wang, Jhih-Yuan Huang, Wei‐Po Lee · 2022 · International Journal of Semantic Computing
  63. An Enhanced Term Weighted Question Embedding for Visual Question Answering
    Sruthy Manmadhan, Binsu C. Kovoor · 2022 · Journal of Information & Knowledge Management
  64. Zero-Shot Visual Question Answering based on DataSet Redistribution
    2022 · Journal of System and Management Sciences
  65. Learning More May Not Be Better: Knowledge Transferability in Vision-and-Language Tasks
    Tianwei Chen, Noa García, Mayu Otani, Chenhui Chu, Yuta Nakashima, Hajime Nagahara · 2024 · Journal of Imaging
  66. The Wisdom of MaSSeS: Majority, Subjectivity, and Semantic Similarity in the Evaluation of VQA
    Shailza Jolly, Sandro Pezzelle, Tassilo Klein, Andreas R. Dengel, Moin Nabi · 2018 · arXiv (Cornell University)
  67. Video Question Generation via Cross-Modal Self-Attention Networks Learning
    Yu-Siang Wang, Hung-Ting Su, Chen-Hsi Chang, Liu, Zhe-Yu, Hsu, Winston H. · 2019 · arXiv (Cornell University)
  68. Granular Multimodal Attention Networks for Visual Dialog
    Badri N. Patro, Shivansh Patel, Vinay P. Namboodiri · 2019 · arXiv (Cornell University)
  69. Good, Better, Best: Textual Distractors Generation for Multi-Choice VQA via Policy Gradient.
    Jiaying Lu, Xin Ye, Yi Ren, Yezhou Yang · 2019 · arXiv (Cornell University)
  70. Evaluating visually grounded language capabilities using microworlds
    Alexander Kuhnle · 2019 · Apollo (University of Cambridge)
  71. Towards Solving Multimodal Comprehension
    Sahu, Pritish, Karan Sikka, Ajay Divakaran · 2021 · arXiv (Cornell University)
  72. Binaryvqa: A Versatile Test Set to Evaluate the Out-of-Distribution Generalization of Vqa Models
    Ali Borji · 2023 · SSRN Electronic Journal
  73. Integrating Multiple Deep Learning Models to Classify Disaster Scene Videos
    Yuan Li · 2021
  74. PerceptionBench: Evaluating Atomic Visual Perception in Multimodal Large Language Models
    Lin, Zichao, Xie, Yifeng, Qu, Bowen, Wang, Haiming, Li, Jia, Wu, Haoning, Dong, Yuhao, Yang, Zuhao, Zhu, Jinguo, Lu, Haoyu et al. · 2026 · arXiv
  75. Proposing Plausible Answers for Open-ended Visual Question Answering
    Omid Bakhshandeh, Trung Bui, Zhe Lin, Walter Hong‐Shong Chang · 2016 · arXiv (Cornell University)
  76. Recurrent and Contextual Models for Visual Question Answering
    Abhijit Sharang, Lau, Eric · 2017 · arXiv (Cornell University)
  77. The Forgettable-Watcher Model for Video Question Answering
    Hongyang Xue, Zhou Zhao, Deng Cai · 2017 · arXiv (Cornell University)
  78. Joint Parsing of Cross-view Scenes with Spatio-temporal Semantic Parse Graphs.
    Hang Qi, Yuanlu Xu, Yuan Tao, Tianfu Wu, Song Chun Zhu · 2017 · arXiv (Cornell University)
  79. Multimodal Attention Agents in Visual Conversation
    Lorena Kodra, Elinda Kajo Meçe · 2018 · Lecture notes on data engineering and communications technologies
  80. On the Flip Side: Identifying Counterexamples in Visual Question Answering
    Gabriel Grand, Aron Szanto, Kim, Yoon, Alexander M. Rush · 2018 · arXiv (Cornell University)
  81. Grounding natural language phrases in images and video
    Bryan A. Plummer · 2018 · Illinois Digital Environment for Access to Learning and Scholarship (University of Illinois at Urbana-Champaign)
  82. Multimodal Attention for Visual Question Answering
    Lorena Kodra, Elinda Kajo Meçe · 2018 · Advances in intelligent systems and computing
  83. Application of deep learning and geo-knowledge bases to scene understanding
    Sambit Bhattacharya, Rajeev K. Agrawal, Neal Wagner · 2018 · International Conference on Management of Emergent Digital EcoSystems (MEDES)
  84. Adversarial Multimodal Network for Movie Question Answering
    Zhaoquan Yuan, Sun, Siyuan, Lixin Duan, Xiao Ying Wu, Changsheng Xu · 2019 · arXiv (Cornell University)
  85. Semantic bottleneck for computer vision tasks
    Maxime Bucher, Stéphane Herbin, Frédéric Jurie · 2018 · HAL
  86. Decoupled Box Proposal and Featurization with Ultrafine-Grained Semantic Labels Improve Image Captioning and Visual Question Answering
    Soravit Changpinyo, Bo Pang, Piyush Kumar Sharma, Radu Soricut · 2019 · arXiv (Cornell University)
  87. Dynamic Attention Networks for Task Oriented Grounding
    Soumik Dasgupta, Badri N. Patro, Vinay P. Namboodiri · 2019 · arXiv (Cornell University)
  88. Two-Headed Monster and Crossed Co-Attention Networks
    Yaoyiran Li, Jing Jiang · 2020 · Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the International Joint Conference on Natural Language Processing: Student Research Workshop (AACL-IJCNLP SRW)
  89. OptiBox: Breaking the Limits of Proposals for Visual Grounding
    Zicong Fan, Si Yi Meng, Leonid Sigal, James J. Little · 2019 · arXiv (Cornell University)
  90. Uncertainty based Class Activation Maps for Visual Question Answering
    Badri N. Patro, Mayank Lunayach, Vinay P. Namboodiri · 2020 · arXiv (Cornell University)
  91. P ≈ NP, at least in Visual Question Answering
    Shailza Jolly, Sebastian Palacio, Joachim Folz, Federico Raue, Jorn Hees, Andreas R. Dengel · 2021 · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition
  92. A Simple Baseline for Visual Commonsense Reasoning.
    Jingxiang Lin, Unnat Jain, Alexander Gerhard Schwing · 2019
  93. P $\approx$ NP, at least in Visual Question Answering
    Shailza Jolly, Sebastian Palacio, Joachim Folz, Federico Raue, Hees, Joern, Andreas R. Dengel · 2020 · arXiv (Cornell University)
  94. A Corpus for Visual Question Answering Annotated with Frame Semantic Information
    Mehrdad Alizadeh, Barbara Di Eugenio · 2020 · Language Resources and Evaluation
  95. Eliminating Catastrophic Interference with Biased Competition
    Amelia Pollard, Jonathan Shapiro · 2020 · arXiv (Cornell University)
  96. Incorporating Verb Semantic Information in Visual Question Answering Through Multitask Learning Paradigm
    Mehrdad Alizadeh, Barbara Di Eugenio · 2020 · International Journal of Semantic Computing
  97. Spatial Attention as an Interface for Image Captioning Models
    Philipp Sadler · 2020 · arXiv (Cornell University)
  98. Two-Headed Monster And Crossed Co-Attention Networks
    Yaoyiran Li, Jing Jiang · 2019 · arXiv (Cornell University)
  99. DVD: A Diagnostic Dataset for Multi-step Reasoning in Video Grounded Dialogue
    Le, Hung, Chinnadhurai Sankar, Seungwhan Moon, Ahmad Beirami, Alborz Geramifard, Satwik Kottur · 2021 · arXiv (Cornell University)
  100. Graph Discovery for Visual Test Generation
    Neil Hallonquist, Donald German, Laurent Younes B · 2021 · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition