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Annotating user interfaces (UIs) that involves localization and classification of meaningful UI elements on a screen is a critical step for many mobile applications such as screen readers and voice control of devices.
Xingyi Zhou, Dequan Wang, and Philipp Krähenbühl. 2019 · 1904
Earlier work this paper cites.
Distinctive Image Features from Scale-Invariant Keypoints
David Lowe. 2004 · 2004
Earlier work this paper cites.
Learning Structural Semantics for the Web
Maxine Lim, Ranjitha Kumar, Arvind Satyanarayan, Cesar Torres, Jerry Talton, and Scott Klemmer. 2012-02 · 2012
Earlier work this paper cites.
Webzeitgeist: Design Mining the Web (CHI ’13) . Association for Computing Machinery, New York, NY, USA, 3083–3092
Ranjitha Kumar, Arvind Satyanarayan, Cesar Torres, Maxine Lim, Salman Ahmad, Scott R. Klemmer, and Jerry O. Talton. 2013 · 2013
Earlier work this paper cites.
Microsoft COCO: Common Objects in Context
Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C. Lawrence Zitnick. 2014 · 2014
Earlier work this paper cites.
The Pascal Visual Object Classes Challenge: A Retrospective
Mark Everingham, S. M. Eslami, Luc Gool, Christopher K. Williams, John Winn, and Andrew Zisserman. 2015 · 2015
Earlier work this paper cites.
SUPOR: Precise and Scalable Sensitive User Input Detection for Android Apps. In 24th USENIX Security Symposium (USENIX Security 15) . USENIX Association, Washington, D.C., 977–992
Jianjun Huang, Zhichun Li, Xusheng Xiao, Zhenyu Wu, Kangjie Lu, Xiangyu Zhang, and Guofei Jiang. 2015 · 2015
Earlier work this paper cites.
UIPicker: User-Input Privacy Identification in Mobile Applications. In 24th USENIX Security Symposium (USENIX Security 15) . USENIX Association, Washington, D.C., 993–1008
Yuhong Nan, Min Yang, Zhemin Yang, Shunfan Zhou, Guofei Gu, and XiaoFeng Wang. 2015 · 2015
Earlier work this paper cites.
SSD: Single Shot MultiBox Detector
Wei Liu, Dragomir Anguelov, Dumitru Erhan, Christian Szegedy, Scott Reed, Cheng-Yang Fu, and Alexander C. Berg. 2016 · 2016
Earlier work this paper cites.
Stacked Hourglass Networks for Human Pose Estimation
Alejandro Newell, Kaiyu Yang, and Jia Deng. 2016 · 2016
Earlier work this paper cites.
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy, Vincent Vanhoucke, Sergey Ioffe, Jon Shlens, and Zbigniew Wojna. 2016 · 2016
Cited alongside, same era.
How people with low vision access computing devices: Understanding challenges and opportunities. In Proceedings of the 18th International ACM SIGACCESS Conference on Computers and Accessibility . 171–180
Sarit Felicia Anais Szpiro, Shafeka Hashash, Yuhang Zhao, and Shiri Azenkot. 2016 · 2016
Cited alongside, same era.
UiRef: Analysis of Sensitive User Inputs in Android Applications. In Proceedings of the 10th ACM Conference on Security and Privacy in Wireless and Mobile Networks (Boston, Massachusetts) (WiSec ’17) . Association for Computing Machinery, New York, NY, USA, 23–34
Benjamin Andow, Akhil Acharya, Dengfeng Li, William Enck, Kapil Singh, and Tao Xie. 2017 · 2017
Cited alongside, same era.
Rico: A Mobile App Dataset for Building Data-Driven Design Applications. In Proceedings of the 30th Annual Symposium on User Interface Software and Technology (UIST ’17)
Biplab Deka, Zifeng Huang, Chad Franzen, Joshua Hibschman, Daniel Afergan, Yang Li, Jeffrey Nichols, and Ranjitha Kumar. 2017 · 2017
Understanding and Modeling User-Perceived Brand Personality from Mobile Application UIs. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (CHI ’19) . 1–12
Ziming Wu, Taewook Kim, Quan Li, and Xiaojuan Ma. 2019 · 2019
Later among the works it cites.
DeepIntent: Deep icon-behavior learning for detecting intention-behavior discrepancy in mobile apps. In Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security . 2421–2436
Shengqu Xi, Shao Yang, Xusheng Xiao, Yuan Yao, Yayuan Xiong, Fengyuan Xu, Haoyu Wang, Peng Gao, Zhuotao Liu, Feng Xu, et al · 2019
Later among the works it cites.
IconIntent: Automatic Identification of Sensitive UI Widgets Based on Icon Classification for Android Apps. 257–268
Xusheng Xiao, Xiaoyin Wang, Zhihao Cao, Hanlin Wang, and Peng Gao. 2019 · 2019
Later among the works it cites.
Object Detection for Graphical User Interface: Old Fashioned or Deep Learning or a Combination?
Jieshan Chen, Mulong Xie, Zhenchang Xing, Chunyang Chen, Xiwei Xu, Liming Zhu, and Guoqiang Li. 2020 · 2020
Later among the works it cites.
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Cited alongside, same era.
Learning Design Semantics for Mobile Apps. In The 31st Annual ACM Symposium on User Interface Software and Technology (Berlin, Germany) (UIST ’18) . ACM, New York, NY, USA, 569–579
Thomas F. Liu, Mark Craft, Jason Situ, Ersin Yumer, Radomir Mech, and Ranjitha Kumar. 2018 · 2018
Cited alongside, same era.
P2A: A Tool for Converting Pixels to Animated Mobile Application User Interfaces. In 2018 IEEE/ACM 5th International Conference on Mobile Software Engineering and Systems (MOBILESoft) . 224–235
S. Natarajan and C. Csallner. 2018 · 2018
Cited alongside, same era.
MobileNetV2: Inverted Residuals and Linear Bottlenecks
Mark Sandler, Andrew Howard, Menglong Zhu, Andrey Zhmoginov, and Liang-Chieh Chen. 2018 · 2018
Cited alongside, same era.
Resolving Referring Expressions in Images with Labeled Elements
Nevan Wichers, Dilek Hakkani-Tur, and Jindong Chen. 2018 · 2018
Cited alongside, same era.
Modeling Mobile Interface Tappability Using Crowdsourcing and Deep Learning
Amanda Swearngin and Yang Li. 2019 · 2019
Cited alongside, same era.
Enrico: A Dataset for Topic Modeling of Mobile UI Designs. In 22nd International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI ’20) . Association for Computing Machinery, Article 9, 4 pages
Luis A. Leiva, Asutosh Hota, and Antti Oulasvirta. 2020 · 2020
Later among the works it cites.
Mapping Natural Language Instructions to Mobile UI Action Sequences. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics . Association for Computational Linguistics, Online, 8198–8210
Yang Li, Jiacong He, Xin Zhou, Yuan Zhang, and Jason Baldridge. 2020 · 2020
Later among the works it cites.
Machine Learning-Based Prototyping of Graphical User Interfaces for Mobile Apps
K. Moran, C. Bernal-Cárdenas, M. Curcio, R. Bonett, and D. Poshyvanyk. 2020 · 2020
Later among the works it cites.
A review of object detection based on deep learning
Youzi Xiao, Zhiqiang Tian, Jiachen Yu, Yinshu Zhang, Shuai Liu, Shaoyi Du, and Xuguang Lan. 2020 · 2020
Later among the works it cites.
Screen Recognition: Creating Accessibility Metadata for Mobile Applications from Pixels
Xiaoyi Zhang, Lilian de Greef, Amanda Swearngin, Samuel White, Kyle Murray, Lisa Yu, Qi Shan, Jeffrey Nichols, Jason Wu, Chris Fleizach, Aaron Everitt, and Jeffrey P. Bigham. 2021 · 2021
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