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 401–500 of 778

  1. Graph neural networks for visual question answering: a systematic review
    Abdulganiyu Abdu Yusuf, Chong Feng, Xian-Ling Mao, Ramadhani Ally Duma, Mohammed Salah Abood, Abdulrahman Hamman Adama Chukkol · 2023 · Multimedia Tools and Applications
  2. When are Lemons Purple? The Concept Association Bias of Vision-Language Models
    Yingtian Tang, Yutaro Yamada, Yoyo Zhang, Ilker Yildirim · 2023 · Conference on Empirical Methods in Natural Language Processing (EMNLP)
  3. FunQA: Towards Surprising Video Comprehension
    Binzhu Xie, Sicheng Zhang, Zitang Zhou, Bo Li, Yuanhan Zhang, Jack Hessel, Jingkang Yang, Ziwei Liu · 2024 · Lecture notes in computer science
  4. Combining Multiple Cues for Visual Madlibs Question Answering
    Tatiana Tommasi, Arun Mallya, Bryan A. Plummer, Svetlana Lazebnik, Alexander C. Berg, Tamara L. Berg · 2018 · International Journal of Computer Vision
  5. Answering Visual What-If Questions: From Actions to Predicted Scene Descriptions
    Misha Wagner, Hector R. A. Basevi, Rakshith Shetty, Wenbin Li, Mateusz Malinowski, Mario Fritz, Aleš Leonardis · 2019 · Lecture notes in computer science
  6. Transfer Learning via Unsupervised Task Discovery for Visual Question Answering
    Hyeonwoo Noh, Taehoon Kim, Jonghwan Mun, Bohyung Han · 2019 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  7. Probing Multi-modal Machine Translation with Pre-trained Language Model
    Yawei Kong, Kai Fan · 2021 · Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
  8. Am I Allergic to This? Assisting Sight Impaired People in the Kitchen
    Elisa S. Ramil Brick, Vanesa Caballero Alonso, Conor O'Brien, Sheron Tong, Emilie Tavernier, Amit Parekh, Angus Addlesee, Oliver Lemon · 2021 · INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION
  9. Uncertainty Class Activation Map (U-CAM) Using Gradient Certainty Method
    Badri N. Patro, Mayank Lunayach, Vinay P. Namboodiri · 2021 · IEEE Transactions on Image Processing
  10. A general approach for automatic segmentation of pneumonia, pulmonary nodule, and tuberculosis in CT images
    Lu Wang, He-Kai Zhou, Nan Xu, Yu-Chan Liu, Xi-Ran Jiang, Shu Li, Chaolu Feng, Hai-Nan Xu, Ke-Xue Deng, Jiang-Dian Song · 2023 · iScience
  11. Chunk-aware Alignment and Lexical Constraint for Visual Entailment with Natural Language Explanations
    Qian Yang, Yunxin Li, Baotian Hu, Lin Ma, Yuxin Ding, Min Zhang · 2022 · ACM International Conference on Multimedia (ACM MM)
  12. Attention-Based Natural Language Person Retrieval
    Tao Zhou, Muhao Chen, Jie Yu, Demetri Terzopoulos · 2017 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  13. More Than An Answer
    Yiyi Zhou, Rongrong Ji, Jinsong Su, Yongjian Wu, Yunsheng Wu · 2017 · ACM International Conference on Multimedia (ACM MM)
  14. NLWSNet: a weakly supervised network for visual sentiment analysis in mislabeled web images
    Luoyang Xue, Qirong Mao, Xiaohua Huang, Jie Chen · 2020 · Frontiers of Information Technology & Electronic Engineering
  15. Bilinear Semi-Tensor Product Attention (BSTPA) model for visual question answering
    Zongwen Bai, Ying Li, Meili Zhou, Di Li, Dong Wang, Dawid Połap, Marcin Woźniak · 2020 · International Joint Conference on Neural Networks (IJCNN)
  16. Be Different to Be Better! A Benchmark to Leverage the Complementarity of Language and Vision
    Sandro Pezzelle, Claudio Greco, Greta Gandolfi, Eleonora Gualdoni, Raffaella Bernardi · 2020 · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
  17. Scene-Graph-Guided message passing network for dense captioning
    An-An Liu, Yanhui Wang, Ning Xu, Shan Liu, Xuanya Li · 2021 · Pattern Recognition Letters
  18. Reciprocal Attention Fusion for Visual Question Answering
    Moshiur R. Farazi, Salman Hameed Khan · 2018 · arXiv (Cornell University)
  19. A Diagram Is Worth A Dozen Images
    Aniruddha Kembhavi, Mike Salvato, Eric Kolve, Minjoon Seo, Hannaneh Hajishirzi, Ali Farhadi · 2016 · arXiv (Cornell University)
  20. Deep Bayesian Active Learning for Multiple Correct Outputs
    Khaled Jedoui, Ranjay Krishna, Michael S. Bernstein, Li Fei-Fei · 2019 · arXiv.org
  21. Multi-stage Pre-training over Simplified Multimodal Pre-training Models
    Liu, Tongtong, Feng, Fangxiang, Wang, Xiaojie · 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
  22. VQD: Visual Query Detection In Natural Scenes
    Manoj Acharya, Karan Jariwala, Christopher Kanan · 2019 · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT)
  23. HaVQA: A Dataset for Visual Question Answering and Multimodal Research in Hausa Language
    Shantipriya Parida, Idris Abdulmumin, Shamsuddeen Hassan Muhammad, Aneesh Bose, Guneet Singh Kohli, Ibrahim Said Ahmad, Ketan Kotwal, Sayan Deb Sarkar, Ondřej Bojar, Habeebah Adamu Kakudi · 2023 · Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
  24. A Critical Analysis of Benchmarks, Techniques, and Models in Medical Visual Question Answering
    Suheer A. Al-Hadhrami, Mohamed El Bachir Menaï, Saad A. Al-Ahmadi, Ahmad Alnafessah · 2023 · IEEE Access
  25. Context-VQA: Towards Context-Aware and Purposeful Visual Question Answering
    Nandita Shankar Naik, Christopher Potts, Elisa Kreiss · 2023 · IEEE International Conference on Computer Vision Workshops
  26. Object Grounding via Iterative Context Reasoning
    Lei Chen, Mengyao Zhai, Jiawei He, Greg Mori · 2019 · IEEE International Conference on Computer Vision Workshops
  27. One for all: One-stage referring expression comprehension with dynamic reasoning
    Zhipeng Zhang, Zhimin Wei, Zhongzhen Huang, Rui Niu, Peng Wang · 2022 · Neurocomputing
  28. Robustness Analysis of Visual QA Models by Basic Questions
    Jia-Hong Huang, Dao, Cuong Duc, Modar Alfadly, Yang, C. Huck, Bernard Ghanem · 2017 · arXiv (Cornell University)
  29. Survey of Recent Advances in Visual Question Answering
    Supriya Pandhre, Shagun Sodhani · 2017 · arXiv (Cornell University)
  30. Cross-Dataset Adaptation for Visual Question Answering
    Wei‐Lun Chao, Hexiang Hu, Fei Sha · 2018 · arXiv (Cornell University)
  31. MCQA: Multimodal Co-attention Based Network for Question Answering
    Abhishek Kumar, Trisha Mittal, Dinesh Manocha · 2020 · arXiv (Cornell University)
  32. Second Grand-Challenge and Workshop on Multimodal Language (Challenge-HML)
    2020
  33. VQA Therapy: Exploring Answer Differences by Visually Grounding Answers
    Chongyan Chen, Samreen Anjum, Danna Gurari · 2023 · IEEE/CVF International Conference on Computer Vision (ICCV)
  34. UNK-VQA: A Dataset and a Probe Into the Abstention Ability of Multi-Modal Large Models
    Yangyang Guo, Fangkai Jiao, Zhiqi Shen, Liqiang Nie, Mohan Kankanhalli · 2024 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  35. Unveiling Typographic Deceptions: Insights of the Typographic Vulnerability in Large Vision-Language Models
    Hao Cheng, Erjia Xiao, Jindong Gu, Le Yang, Jinhao Duan, Jize Zhang, Jiahang Cao, Kaidi Xu, Renjing Xu · 2024 · Lecture notes in computer science
  36. C3VQG
    Shagun Uppal, Anish Madan, Sarthak Bhagat, Yi Yu, Rajiv Ratn Shah · 2021 · ACM International Conference on Multimedia in Asia (MMAsia)
  37. Event-Oriented Visual Question Answering: The E-VQA Dataset and Benchmark
    Zhenguo Yang, Jiale Xiang, Jiuxiang You, Qing Li, Wenyin Liu · 2023 · IEEE Transactions on Knowledge and Data Engineering
  38. Machine Comprehension of Spoken Content: TOEFL Listening Test and Spoken SQuAD
    Chia‐Hsuan Lee, Hung-yi Lee, Szu-Lin Wu, Chi-Liang Liu, Wei Fang, Juei-Yang Hsu, Bo-Hsiang Tseng · 2019 · IEEE/ACM Transactions on Audio Speech and Language Processing
  39. Good, Better, Best: Textual Distractors Generation for Multiple-Choice Visual Question Answering via Reinforcement Learning
    Jiaying Lu, Xin Ye, Yi Cheng Ren, Yezhou Yang · 2022 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  40. CoDraw: Collaborative Drawing as a Testbed for Grounded Goal-driven Communication
    Jin-Hwa Kim, Nikita Kitaev, Xinlei Chen, Marcus Rohrbach, Byoung‐Tak Zhang, Yuandong Tian, Dhruv Batra, Devi Parikh · 2017 · arXiv (Cornell University)
  41. Answering Visual What-If Questions: From Actions to Predicted Scene Descriptions
    Misha Wagner, Hector R. A. Basevi, Rakshith Shetty, W. Li, Mateusz Malinowski, Mario Fritz, Aleš Leonardis · 2018 · arXiv (Cornell University)
  42. An Empirical Evaluation of Visual Question Answering for Novel Objects
    Santhosh Kumar Ramakrishnan, Ambar Pal, Gaurav Sharma, Anurag Mittal · 2017 · arXiv (Cornell University)
  43. Explainable High-order Visual Question Reasoning: A New Benchmark and Knowledge-routed Network
    Qingxing Cao, Bailin Li, Xiaodan Liang, Liang Lin · 2019 · arXiv (Cornell University)
  44. Object-Centric Diagnosis of Visual Reasoning
    Jianwei Yang, Jiayuan Mao, Jiajun Wu, Devi Parikh, David Cox, Joshua B. Tenenbaum, Chuang Gan · 2020 · arXiv (Cornell University)
  45. Visual Question Answering: A Survey on Techniques and Common Trends in Recent Literature
    Claudio Filipi Gonçalves dos Santos, Felype de Castro Bastos, Ana Claudia Akemi Matsuki de Faria, Jose Victor Nogueira Alves da Silva, Valeska de Sousa Uchôa, Décio Gonçalves de Aguiar Neto · 2023 · Research Square
  46. Auditing Image-based NSFW Classifiers for Content Filtering
    Warren Leu, Yuta Nakashima, Noa García · 2024 · ACM Conference on Fairness, Accountability, and Transparency (FAccT)
  47. ViCLEVR: a visual reasoning dataset and hybrid multimodal fusion model for visual question answering in Vietnamese
    Khiem Vinh Tran, Hao Phu Phan, Kiet Van Nguyen, Ngan Luu Thuy Nguyen · 2024 · Multimedia Systems
  48. Robust Explanations for Visual Question Answering
    Badri N. Patro, Shivansh Patel, Vinay P. Namboodiri · 2020 · IEEE Winter Conference on Applications of Computer Vision
  49. Answer Mining from a Pool of Images: Towards Retrieval-Based Visual Question Answering
    Abhirama Subramanyam Penamakuri, Manish Gupta, Mithun Das Gupta, Anand Mishra · 2023 · International Joint Conference on Artificial Intelligence
  50. Segmentation Guided Attention Networks for Visual Question Answering
    Vasu Sharma, Ankita Bishnu, Labhesh Patel · 2017 · Annual Meeting of the Association for Computational Linguistics: Student Research Workshop (ACL SRW)
  51. Improving the quality of Business Process Models: Lesson learned from the State of the Art
    Fadwa Yahya, Khouloud Boukadi, Hanêne Ben‐Abdallah · 2018 · Business Process Management Journal
  52. Task-Oriented Multi-Modal Question Answering For Collaborative Applications
    Hui Li Tan, Mei Chee Leong, Qianli Xu, Liyuan Li, Fen Fang, Yi Cheng, Nicolas Gauthier, Ying Sun, Joo‐Hwee Lim · 2020 · Proceedings - International Conference on Image Processing
  53. CRAFT: A Benchmark for Causal Reasoning About Forces and inTeractions
    Tayfun Ates, M. Samil Atesoglu, Çağatay Yiğit, İlker Kesen, Mert Kobaş, Erkut Erdem, Aykut Erdem, Tilbe Göksun, Deniz Yüret · 2022 · Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
  54. Dual Self-Guided Attention with Sparse Question Networks for Visual Question Answering
    Xiang SHEN, Dezhi Han, Chin‐Chen Chang, Liang Zong · 2022 · IEICE Transactions on Information and Systems
  55. Anomaly traffic detection based on feature fluctuation for secure industrial internet of things
    Jie Yin, Chuntang Zhang, Wenwei Xie, Guangjun Liang, Lanping Zhang, Guan Gui · 2023 · Peer-to-Peer Networking and Applications
  56. Image interpretation above and below the object level
    Guy Ben-Yosef, Shimon Ullman · 2018 · Interface Focus
  57. AttentionRNN: A Structured Spatial Attention Mechanism
    Siddhesh Khandelwal, Leonid Sigal · 2019 · IEEE/CVF International Conference on Computer Vision (ICCV)
  58. A Review on Intelligent Object Perception Methods Combining Knowledge-based Reasoning and Machine Learning
    Filippos Gouidis, Alexandros Vassiliades, Theodore Patkos, Antonis Argyros, Nick Bassiliades, Dimitris Plexousakis · 2019 · arXiv (Cornell University)
  59. TAB-VCR: Tags and Attributes based Visual Commonsense Reasoning Baselines
    Jingxiang Lin, Unnat Jain, Alexander Gerhard Schwing · 2019 · arXiv (Cornell University)
  60. Probing Text Models for Common Ground with Visual Representations
    Gabriel Ilharco, Rowan Zellers, Ali Farhadi, Hannaneh Hajishirzi · 2020 · arXiv (Cornell University)
  61. Nimble: Mobile Interface for a Visual Question Answering Augmented by Gestures
    Yevhen Romaniak, Anastasiia Smielova, Yevhenii Yakishyn, Valerii Dziubliuk, Mykhailo Zlotnyk, Oleksandr Viatchaninov · 2020 · ACM Symposium on User Interface Software and Technology (UIST)
  62. Elysium: Exploring Object-Level Perception in Videos via MLLM
    Han Wang, Yongjie Ye, Yanjie Wang, Yuxiang Nie, Can Huang · 2024 · Lecture notes in computer science
  63. NovaChart: A Large-scale Dataset towards Chart Understanding and Generation of Multimodal Large Language Models
    Linmei Hu, Duokang Wang, Yiming Pan, Jifan Yu, Yingxia Shao, Chong Feng, Liqiang Nie · 2024 · ACM International Conference on Multimedia (ACM MM)
  64. A flexible testing environment for visual question answering with performance evaluation
    Mihael Cudic, Ryan Burt, Eder Santana, José Carlos Príncipe · 2018 · Neurocomputing
  65. Visual Relationship Recognition via Language and Position Guided Attention
    Hao Zhou, Chuanping Hu, Chongyang Zhang, Shengyang Shen · 2019 · IEEE International Conference on Acoustics Speech and Signal Processing
  66. Triple attention network for sentimental visual question answering
    Nelson Ruwa, Qirong Mao, Heping Song, Hongjie Jia, Ming Dong · 2019 · Computer Vision and Image Understanding
  67. Inferential Visual Question Generation
    Chao Bi, Shuhui Wang, Zhe Xue, Shengbo Chen, Qingming Huang · 2022 · ACM International Conference on Multimedia (ACM MM)
  68. An image conveys a message: A brief survey on image description generation
    Sidra Shabir, Syed Yasser Arafat · 2018 · International Conference on Power, Energy and Smart Grid (ICPESG)
  69. The forgettable-watcher model for video question answering
    Wenqing Chu, Hongyang Xue, Zhou Zhao, Deng Cai, Chengwei Yao · 2018 · Neurocomputing
  70. Learning Visual Question Answering by Bootstrapping Hard Attention
    Mateusz Malinowski, Carl Doersch, Adam Santoro, Peter Battaglia · 2018 · arXiv (Cornell University)
  71. Scene Graph Parsing by Attention Graph
    Martin Andrews, Yew Ken Chia, Sam Witteveen · 2019 · arXiv (Cornell University)
  72. Visual Reasoning: From State to Transformation
    Xin Hong, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng · 2023 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  73. Interpreting vision and language generative models with semantic visual priors
    Michele Cafagna, Lina Maria Rojas-Barahona, Kees van Deemter, Albert Gatt A · 2023 · Frontiers in Artificial Intelligence
  74. GazeVQA: A Video Question Answering Dataset for Multiview Eye-Gaze Task-Oriented Collaborations
    Muhammet Furkan Ilaslan, Chenan Song, Joya Chen, Difei Gao, Weixian Lei, Qianli Xu, Joo‐Hwee Lim, Mike Zheng Shou · 2023 · Conference on Empirical Methods in Natural Language Processing (EMNLP)
  75. Do Vision-and-Language Transformers Learn Grounded Predicate-Noun Dependencies?
    Mitja Nikolaus, Emmanuelle Salin, Stéphane Ayache, Abdellah Fourtassi, Benoît Favre · 2022 · Conference on Empirical Methods in Natural Language Processing (EMNLP)
  76. An Effective Med-VQA Method Using a Transformer with Weights Fusion of Multiple Fine-Tuned Models
    Suheer A. Al-Hadhrami, Mohamed El Bachir Menaï, Saad A. Al-Ahmadi, Ahmad Alnafessah · 2023 · Applied Sciences
  77. DeepGender2: A Generative Approach Toward Occlusion and Low-Resolution Robust Facial Gender Classification via Progressively Trained Attention Shift Convolutional Neural Networks (PTAS-CNN) and Deep Convolutional Generative Adversarial Networks (DCGAN)
    Felix Juefei-Xu, Eshan Verma, Marios Savvides · 2017 · Advances in computer vision and pattern recognition
  78. Towards Developing a Multilingual and Code-Mixed Visual Question Answering System by Knowledge Distillation
    Humair Raj Khan, Deepak Gupta, Asif Ekbal · 2021 · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
  79. Towards Open-Set Scene Graph Generation With Unknown Objects
    Motoharu Sonogashira, Masaaki Iiyama, Yasutomo Kawanishi · 2022 · IEEE Access
  80. VQuAD: Video Question Answering Diagnostic Dataset
    Vivek Gupta, Badri N. Patro, Hemant Parihar, Vinay P. Namboodiri · 2022 · IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW)
  81. Medical visual question answering via corresponding feature fusion combined with semantic attention
    Han Zhu, Xiaohai He, Meiling Wang, Mozhi Zhang, Linbo Qing · 2022 · Mathematical Biosciences & Engineering
  82. Selective interactive networks with knowledge graphs for image classification
    Wenqiang Tang, Zhouwang Yang, Yanzhi Song · 2023 · Knowledge-Based Systems
  83. RCA: Region Conditioned Adaptation for Visual Abductive Reasoning
    Hao Zhang, Yeo Keat Ee, Basura Fernando · 2024 · ACM International Conference on Multimedia (ACM MM)
  84. Multi-Question Learning for Visual Question Answering
    Chenyi Lei, Lei Wu, Dong Liu, Zhao Li, Guoxin Wang, Haihong Tang, Houqiang Li · 2020 · Proceedings of the AAAI Conference on Artificial Intelligence
  85. A Visually-grounded First-person Dialogue Dataset with Verbal and Non-verbal Responses
    Hisashi Kamezawa, Noriki Nishida, Nobuyuki Shimizu, Takashi Miyazaki, Hideki Nakayama · 2020 · Conference on Empirical Methods in Natural Language Processing (EMNLP)
  86. Towards an effective model for lung disease classification
    Faizan Karim, Munam Ali Shah, Hasan Ali Khattak, Zoobia Ameer, Umar Shoaib, Hafiz Tayyab Rauf, Fadi M. Al-Turjman · 2022 · Applied Soft Computing
  87. A dataset for multimodal question answering in the cultural heritage domain
    Shurong Sheng, Luc Van Gool, Marie‐Francine Moens · 2016 · Lirias
  88. Understanding Image and Text Simultaneously: a Dual Vision-Language Machine Comprehension Task
    Nan Ding, Sebastian Goodman, Fei Sha, Radu Soricut · 2016 · arXiv (Cornell University)
  89. CLEAR: A Dataset for Compositional Language and Elementary Acoustic Reasoning
    Jerome Abdelnour, Giampiero Salvi, Jean Rouat · 2018 · arXiv (Cornell University)
  90. VQD: Visual Query Detection in Natural Scenes
    Manoj Acharya, Karan Jariwala, Christopher Kanan · 2019 · arXiv (Cornell University)
  91. Transfer learning for multimodal dialog
    Palaskar, Shruti, Sanabria, Ramon, Metze, Florian · 2020 · Computer Speech & Language
  92. Multimodal fusion: advancing medical visual question-answering
    Anjali Mudgal, Udbhav Kush, Aditya Kumar, Amir Jafari · 2024 · Neural Computing and Applications
  93. Recent, Rapid Advancement in Visual Question Answering: a Review
    Venkat Kodali, Daniel Berleant · 2022 · IEEE International Conference on Electro Information Technology
  94. Visual question generation for explicit questioning purposes based on target objects
    Jiayuan Xie, Jiali Chen, Wenhao Fang, Yi Cai, Qing Li · 2023 · Neural Networks
  95. ManufVisSGG: A Vision-Language-Model Approach for Cognitive Scene Graph Generation in Manufacturing Systems
    Zhijie Yan, Zuoxu Wang, Shufei Li, Mingrui Li, Xinxin Liang, Jihong Liu · 2024 · IEEE International Conference on Automation Science and Engineering (CASE)
  96. MoQA – A Multi-modal Question Answering Architecture
    Monica Haurilet, Ziad Al-Halah, Rainer Stiefelhagen · 2019 · Lecture notes in computer science
  97. TA-Student VQA: Multi-Agents Training by Self-Questioning
    Peixi Xiong, Ying Wu · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  98. Can deep learning solve a preschool image understanding problem?
    Bidyut Das, Arif Ahmed Sekh, Mukta Majumder, Santanu Phadikar · 2021 · Neural Computing and Applications
  99. Multi-Tier Attention Network using Term-weighted Question Features for Visual Question Answering
    Sruthy Manmadhan, Binsu C. Kovoor · 2021 · Image and Vision Computing
  100. Research Progress on Vision–Language Multimodal Pretraining Model Technology
    Huansha Wang, Ruiyang Huang, Jianpeng Zhang · 2022 · Electronics