---
title: "Who cites From Captions to Visual Concepts and Back"
description: "163 papers of the Elamur Research library cite «From Captions to Visual Concepts and Back», found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/papers/fang-2014-captions-visual-concepts-back/cited-by/"
---
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# Who cites «From Captions to Visual Concepts and Back»

163 papers of our library cite it (of the 149,439 whose bibliographies we read) · 23 with a page here, the most cited first · [← back to «From Captions to Visual Concepts and Back»](https://md.research.elamur.ai/free/en/papers/fang-2014-captions-visual-concepts-back/)

1. [**Show, Attend and Tell: Neural Image Caption Generation with Visual Attention arXiv:1502.03044**Kelvin Xu, Jimmy Ba, Ryan Kiros, et al.*2015 · 7,670 citations*](https://md.research.elamur.ai/free/en/papers/xu-2015-show-attend-tell-neural-image/)
2. **[Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization](https://md.research.elamur.ai/free/en/papers/selvaraju-2016-grad-cam-visual-explanations-deep/) [International Journal of Computer Vision](https://md.research.elamur.ai/free/en/venues/international-journal-of-computer-vision/)**Ramprasaath R. Selvaraju, Michael Cogswell, Abhishek Das, et al.*2016 · 6,394 citations*
3. **[Conceptual Captions: A Cleaned, Hypernymed, Image Alt-text Dataset For Automatic Image Captioning](https://md.research.elamur.ai/free/en/papers/sharma-2018-conceptual-captions-cleaned-hypernymed-image/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Piyush Sharma, Nan Ding, Sebastian Goodman, et al.*2018 · 2,348 citations*
4. **[Stacked Attention Networks for Image Question Answering](https://md.research.elamur.ai/free/en/papers/yang-2015-stacked-attention-networks-image-question/) [IEEE Computer Society Conference on Computer Vision and Pattern Recognition](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/)**Zichao Yang, Xiaodong He, Jianfeng Gao, et al.*2015 · 2,157 citations*
5. **[BLEURT: Learning Robust Metrics for Text Generation](https://md.research.elamur.ai/free/en/papers/sellam-2020-bleurt-learning-robust-metrics-text/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Thibault Sellam, Dipanjan Das, Ankur Parikh*2020 · 2,032 citations*
6. [**Microsoft COCO Captions: Data Collection and Evaluation Server arXiv:1504.00325**Xinlei Chen, Hao Fang, Tsung-Yi Lin, et al.*2015 · 1,948 citations*](https://md.research.elamur.ai/free/en/papers/chen-2015-microsoft-coco-captions-data-collection/)
7. **[Generation and Comprehension of Unambiguous Object Descriptions](https://md.research.elamur.ai/free/en/papers/mao-2015-generation-comprehension-unambiguous-object-descriptions/) [IEEE Computer Society Conference on Computer Vision and Pattern Recognition](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/)**Junhua Mao, Jonathan Huang, Alexander Toshev, et al.*2015 · 1,388 citations*
8. **[Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering](https://md.research.elamur.ai/free/en/papers/goyal-2016-making-v-vqa-matter-elevating/) [International Journal of Computer Vision](https://md.research.elamur.ai/free/en/venues/international-journal-of-computer-vision/)**Yash Goyal, Tejas Khot, Douglas Summers-Stay, et al.*2016 · 1,281 citations*
9. **[Modeling Context in Referring Expressions](https://md.research.elamur.ai/free/en/papers/yu-2016-modeling-context-referring-expressions/) [Lecture notes in computer science](https://md.research.elamur.ai/free/en/venues/lecture-notes-in-computer-science/)**Licheng Yu, Patrick Poirson, Shan Yang, et al.*2016 · 1,203 citations*
10. **[The Design and Implementation of XiaoIce, an Empathetic Social Chatbot](https://md.research.elamur.ai/free/en/papers/zhou-2018-design-implementation-xiaoice-empathetic-social/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Li Zhou, Jianfeng Gao, Di Li, et al.*2018 · 872 citations*
11. **[Deep Captioning with Multimodal Recurrent Neural Networks (m-RNN)](https://md.research.elamur.ai/free/en/papers/mao-2014-deep-captioning-multimodal-recurrent-neural/) [International Conference on Learning Representations (ICLR)](https://md.research.elamur.ai/free/en/venues/international-conference-on-learning-representations-iclr/)**Junhua Mao, Wei Xu, Yi Yang, et al.*2014 · 715 citations*
12. **[Neural Text Generation from Structured Data with Application to the Biography Domain](https://md.research.elamur.ai/free/en/papers/lebret-2016-neural-text-generation-structured-data/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Remi Lebret, David Grangier, Michael Auli*2016 · 701 citations*
13. [**Deep Visual-Semantic Alignments for Generating Image Descriptions arXiv:1412.2306**Andrej Karpathy, Li Fei-Fei*2014 · 608 citations*](https://md.research.elamur.ai/free/en/papers/karpathy-2014-deep-visual-semantic-alignments-generating/)
14. **[On the Automatic Generation of Medical Imaging Reports](https://md.research.elamur.ai/free/en/papers/jing-2018-automatic-generation-medical-imaging-reports/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Baoyu Jing, Pengtao Xie, Eric Xing*2018 · 484 citations*
15. [**Exploring Models and Data for Image Question Answering arXiv:1505.02074**Mengye Ren, Ryan Kiros, Richard Zemel*2015 · 455 citations*](https://md.research.elamur.ai/free/en/papers/ren-2015-exploring-models-data-image-question/)
16. **[Generating Natural Questions About an Image](https://md.research.elamur.ai/free/en/papers/mostafazadeh-2016-generating-natural-questions-about-image/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Nasrin Mostafazadeh, Ishan Misra, Jacob Devlin, et al.*2016 · 343 citations*
17. [**SPICE: Semantic Propositional Image Caption Evaluation arXiv:1607.08822**Peter Anderson, Basura Fernando, Mark Johnson, et al.*2016 · 289 citations*](https://md.research.elamur.ai/free/en/papers/anderson-2016-spice-semantic-propositional-image-caption/)
18. **[Guided Open Vocabulary Image Captioning with Constrained Beam Search](https://md.research.elamur.ai/free/en/papers/anderson-2017-guided-open-vocabulary-image-captioning/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Peter Anderson, Basura Fernando, Mark Johnson, et al.*2017 · 286 citations*
19. [**Long-term Recurrent Convolutional Networks for Visual Recognition and Description arXiv:1411.4389**Jeff Donahue, Lisa Anne Hendricks, Marcus Rohrbach, et al.*2014 · 245 citations*](https://md.research.elamur.ai/free/en/papers/donahue-2014-long-term-recurrent-convolutional-networks/)
20. [**FigureQA: An Annotated Figure Dataset for Visual Reasoning arXiv:1710.07300**Samira Ebrahimi Kahou, Vincent Michalski, Adam Atkinson, et al.*2017 · 240 citations*](https://md.research.elamur.ai/free/en/papers/kahou-2017-figureqa-annotated-figure-dataset-visual/)
21. **[Solving Geometry Problems: Combining Text and Diagram Interpretation](https://md.research.elamur.ai/free/en/papers/seo-2015-solving-geometry-problems-combining-text/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Minjoon Seo, Hannaneh Hajishirzi, Ali Farhadi, et al.*2015 · 220 citations*
22. **[FOIL it! Find One mismatch between Image and Language caption](https://md.research.elamur.ai/free/en/papers/shekhar-2017-foil-it-find-one-mismatch/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ravi Shekhar, Sandro Pezzelle, Yauhen Klimovich, et al.*2017 · 127 citations*
23. **[Generating Image Captions in Arabic using Root-Word Based Recurrent Neural Networks and Deep Neural Networks](https://md.research.elamur.ai/free/en/papers/jindal-2018-generating-image-captions-arabic-root/) [Conference of the North American Chapter of the Association for Computational Linguistics: Student Research Workshop](https://md.research.elamur.ai/free/en/venues/conference-of-the-north-american-chapter-of-the-association-for-computational/)**Vasu Jindal*2018 · 23 citations*

140 more papers of our library cite it; they have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/fang-2014-captions-visual-concepts-back/) — From Captions to Visual Concepts and Back