From Lost to Found: Discover Missing UI Design Semantics through
Recovering Missing Tags

From Lost to Found: Discover Missing UI Design Semantics through Recovering Missing Tags

16 August 2020

Papers citing "From Lost to Found: Discover Missing UI Design Semantics through Recovering Missing Tags"

10 / 10 papers shown

Title
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 Guoqiang Li OOD 22 147 0 12 Aug 2020
ImagineNet: Restyling Apps Using Neural Style Transfer Michael H. Fischer Richard R. Yang M. Lam 19 3 0 14 Jan 2020
KLEESPECTRE: Detecting Information Leakage through Speculative Cache Attacks via Symbolic Execution Guanhua Wang Sudipta Chattopadhyay A. Biswas T. Mitra Abhik Roychoudhury 20 23 0 02 Sep 2019
Synthetic Oversampling of Multi-Label Data based on Local Label Distribution B. Liu Grigorios Tsoumakas 16 25 0 02 May 2019
Understanding Infographics through Textual and Visual Tag Prediction Zoya Bylinskii Sami Alsheikh Spandan Madan Adrià Recasens Kimberli Zhong Hanspeter Pfister F. Durand A. Oliva 33 40 0 26 Sep 2017
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 866 192,638 0 10 Dec 2015
Colors $-$ Messengers of Concepts: Visual Design Mining for Learning Color Semantics Ali Jahanian S.V.N. Vishwanathan J. Allebach VLM 39 39 0 25 May 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 290 149,474 0 22 Dec 2014
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps Karen Simonyan Andrea Vedaldi Andrew Zisserman FAtt 75 7,252 0 20 Dec 2013
Distributed Representations of Words and Phrases and their Compositionality Tomas Mikolov Ilya Sutskever Kai Chen G. Corrado J. Dean NAI OCL 207 33,445 0 16 Oct 2013