Fetching the paper…
Reading the bibliography…
Infographics are documents designed to effectively communicate information using a combination of textual, graphical and visual elements.
Latent dirichlet allocation
David M. Blei, Andrew Y. Ng, and Michael I. Jordan · 2003
Earlier work this paper cites.
Multidimensional Scaling
Michael A. A. Cox and Trevor F. Cox · 2008
Earlier work this paper cites.
Software Framework for Topic Modelling with Large Corpora
Radim Řehůřek and Petr Sojka · 2010
Earlier work this paper cites.
What Makes a Visualization Memorable?
M. A. Borkin, A. A. Vo, Z. Bylinskii, P. Isola, S. Sunkavalli, A. Oliva, and H. Pfister · 2013
Earlier work this paper cites.
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun · 2015
Earlier work this paper cites.
SQuAD: 100,000+ Questions for Machine Comprehension of Text
Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, and Percy Liang · 2016
Earlier work this paper cites.
Google’s neural machine translation system: Bridging the gap between human and machine translation
Y. Wu, M. Schuster, Z. Chen, Quoc V. Le, Mohammad Norouzi, Wolfgang Macherey, M. Krikun, Yuan Cao, Q. Gao, Klaus Macherey, Jeff Klingner, Apurva Shah, M. Johnson, X. Liu, L. Kaiser, S. Gouws, Y. Kato, Taku Kudo, H. Kazawa, K. Stevens, G. Kurian, Nishant Patil, W. Wang, C. Young, J. Smith, Jason Riesa, Alex Rudnick, Oriol Vinyals, G. S. Corrado, Macduff Hughes, and J. Dean · 2016
Earlier work this paper cites.
Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering, 2017
Peter Anderson, Xiaodong He, Chris Buehler, Damien Teney, Mark Johnson, Stephen Gould, and Lei Zhang · 2017
Earlier work this paper cites.
Understanding infographics through textual and visual tag prediction
Z. Bylinskii, Sami Alsheikh, Spandan Madan, A. Recasens, Kimberli Zhong, H. Pfister, F. Durand, and A. Oliva · 2017
Earlier work this paper cites.
Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering
Y. Goyal, T. Khot, D. Summers-Stay, D. Batra, and D. Parikh · 2017
Earlier work this paper cites.
Mask r-cnn
Kaiming He, Georgia Gkioxari, Piotr Dollár, and Ross Girshick · 2017
Earlier work this paper cites.
TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension
Mandar Joshi, Eunsol Choi, Daniel Weld, and Luke Zettlemoyer · 2017
Earlier work this paper cites.
Figureqa: An annotated figure dataset for visual reasoning
Samira Ebrahimi Kahou, Vincent Michalski, Adam Atkinson, Ákos Kádár, Adam Trischler, and Yoshua Bengio · 2017
Earlier work this paper cites.
Show, ask, attend, and answer: A strong baseline for visual question answering
Vahid Kazemi and Ali Elqursh · 2017
Earlier work this paper cites.
Are You Smarter Than A Sixth Grader? Textbook Question Answering for Multimodal Machine Comprehension
Aniruddha Kembhavi, Minjoon Seo, Dustin Schwenk, Jonghyun Choi, Ali Farhadi, and Hannaneh Hajishirzi · 2017
Earlier work this paper cites.
Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations
Ranjay Krishna, Yuke Zhu, Oliver Groth, Justin Johnson, Kenji Hata, Joshua Kravitz, Stephanie Chen, Yannis Kalantidis, Li-Jia Li, David A. Shamma, Michael S. Bernstein, and Li Fei-Fei · 2017
Earlier work this paper cites.
Attention is All you Need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Ł ukasz Kaiser, and Illia Polosukhin · 2017
Earlier work this paper cites.
Bottom-up and top-down attention for image captioning and visual question answering
Peter Anderson, Xiaodong He, Chris Buehler, Damien Teney, Mark Johnson, Stephen Gould, and Lei Zhang · 2018
Earlier work this paper cites.
Vizwiz grand challenge: Answering visual questions from blind people
Danna Gurari, Qing Li, Abigale J Stangl, Anhong Guo, Chi Lin, Kristen Grauman, Jiebo Luo, and Jeffrey P Bigham · 2018
Earlier work this paper cites.
DVQA: Understanding Data Visualizations via Question Answering
Kushal Kafle, Brian Price, Scott Cohen, and Christopher Kanan · 2018
Cited alongside, same era.
Towards abstractive captioning of infographics
Nathan Landman · 2018
Cited alongside, same era.
Synthetically trained icon proposals for parsing and summarizing infographics
Spandan Madan, Zoya Bylinskii, Matthew Tancik, Adrià Recasens, Kimberli Zhong, Sami Alsheikh, Hanspeter Pfister, Aude Oliva, and Fredo Durand · 2018
Cited alongside, same era.
RecipeQA: A Challenge Dataset for Multimodal Comprehension of Cooking Recipes
Semih Yagcioglu, Aykut Erdem, Erkut Erdem, and Nazli Ikizler-Cinbis · 2018
Cited alongside, same era.
Scene Text Visual Question Answering
Ali Furkan Biten, Ruben Tito, Andres Mafla, Lluis Gomez, Marcal Rusinol, Ernest Valveny, C.V. Jawahar, and Dimosthenis Karatzas · 2019
Cited alongside, same era.
Detectron2 for document layout analysis
Himanshu · 2020
Later among the works it cites.
Iterative answer prediction with pointer-augmented multimodal transformers for textvqa
Ronghang Hu, Amanpreet Singh, Trevor Darrell, and Marcus Rohrbach · 2020
Later among the works it cites.
Exploring Visual Information Flows in Infographics
Min Lu, Chufeng Wang, Joel Lanir, Nanxuan Zhao, Hanspeter Pfister, Daniel Cohen-Or, and Hui Huang · 2020
Later among the works it cites.
DocVQA: A Dataset for VQA on Document Images
Minesh Mathew, Dimosthenis Karatzas, and C. V. Jawahar · 2020
Later among the works it cites.
MMF: A multimodal framework for vision and language research
Amanpreet Singh, Vedanuj Goswami, Vivek Natarajan, Yu Jiang, Xinlei Chen, Meet Shah, Marcus Rohrbach, Dhruv Batra, and Devi Parikh · 2020
Later among the works it cites.
Are we pretraining it right? Digging deeper into visio-linguistic pretraining
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Yen-Chun Chen, Linjie Li, Licheng Yu, Ahmed El Kholy, Faisal Ahmed, Zhe Gan, Yu Cheng, and Jingjing Liu · 2019
Cited alongside, same era.
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2019
Cited alongside, same era.
DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs
Dheeru Dua, Yizhong Wang, Pradeep Dasigi, Gabriel Stanovsky, Sameer Singh, and Matt Gardner · 2019
Cited alongside, same era.
GQA: a new dataset for compositional question answering over real-world images
Drew A. Hudson and Christopher D. Manning · 2019
Cited alongside, same era.
Imagededup
Tanuj Jain, Christopher Lennan, Zubin John, and Dat Tran · 2019
Cited alongside, same era.
VisualBERT: A Simple and Performant Baseline for Vision and Language
Liunian Harold Li, Mark Yatskar, Da Yin, C. Hsieh, and Kai-Wei Chang · 2019
Cited alongside, same era.
OCR-VQA: Visual question answering by reading text in images
Anand Mishra, Shashank Shekhar, Ajeet Kumar Singh, and Anirban Chakraborty · 2019
Cited alongside, same era.
Amanpreet Singh, Vedanuj Goswami, and D. Parikh · 2020
Later among the works it cites.
Vl-bert: Pre-training of generic visual-linguistic representations
Weijie Su, X. Zhu, Y. Cao, B. Li, Lewei Lu, Furu Wei, and Jifeng Dai · 2020
Later among the works it cites.
Huggingface’s transformers: State-of-the-art natural language processing, 2020
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Rémi Louf, Morgan Funtowicz, Joe Davison, Sam Shleifer, Patrick von Platen, Clara Ma, Yacine Jernite, Julien Plu, Canwen Xu, Teven Le Scao, Sylvain Gugger, Mariama Drame, Quentin Lhoest, and Alexander M. Rush · 2020
Later among the works it cites.
LayoutLM: Pre-training of Text and Layout for Document Image Understanding
Yiheng Xu, Minghao Li, Lei Cui, Shaohan Huang, Furu Wei, and Ming Zhou · 2020
Later among the works it cites.
Layoutlmv2: Multi-modal pre-training for visually-rich document understanding
Yang Xu, Yiheng Xu, Tengchao Lv, Lei Cui, Furu Wei, Guoxin Wang, Yijuan Lu, Dinei Florencio, Cha Zhang, Wanxiang Che, et al · 2020
Later among the works it cites.
TAP: Text-Aware Pre-training for Text-VQA and Text-Caption, 2020
Zhengyuan Yang, Yijuan Lu, Jianfeng Wang, Xi Yin, Dinei Florencio, Lijuan Wang, Cha Zhang, Lei Zhang, and Jiebo Luo · 2020
Later among the works it cites.
https://aws.amazon.com/textract/
Amazon Textract · 2021
Closest in time.
https://huggingface.co/models
Huggingface’s Models · 2021
Closest in time.
Docformer: End-to-end transformer for document understanding, 2021
Srikar Appalaraju, Bhavan Jasani, Bhargava Urala Kota, Yusheng Xie, and R. Manmatha · 2021
Closest in time.
Structext: Structured text understanding with multi-modal transformers, 2021
Yulin Li, Yuxi Qian, Yuchen Yu, Xiameng Qin, Chengquan Zhang, Yan Liu, Kun Yao, Junyu Han, Jingtuo Liu, and Errui Ding · 2021
Closest in time.
pyLDAvis
Ben Mabey · 2021
Closest in time.
Going full-tilt boogie on document understanding with text-image-layout transformer
Rafał Powalski, Łukasz Borchmann, Dawid Jurkiewicz, Tomasz Dwojak, Michał Pietruszka, and Gabriela Pałka · 2021
Closest in time.
Visualmrc: Machine reading comprehension on document images
Ryota Tanaka, Kyosuke Nishida, and Sen Yoshida · 2021
Closest in time.