Modeling Mobile Interface Tappability Using Crowdsourcing and Deep Learning

28 February 2019

Papers citing "Modeling Mobile Interface Tappability Using Crowdsourcing and Deep Learning"

5 / 5 papers shown

Title
Video2Action: Reducing Human Interactions in Action Annotation of App Tutorial Videos Sidong Feng Chunyang Chen Zhenchang Xing 24 12 0 07 Aug 2023
WebUI: A Dataset for Enhancing Visual UI Understanding with Web Semantics Jason Wu Siyan Wang Siman Shen Yi-Hao Peng Jeffrey Nichols Jeffrey P. Bigham 21 69 0 30 Jan 2023
Predicting and Explaining Mobile UI Tappability with Vision Modeling and Saliency Analysis E. Schoop Xin Zhou Gang Li Zhourong Chen Björn Hartmann Yang Li HAI FAtt 32 32 0 05 Apr 2022
VUT: Versatile UI Transformer for Multi-Modal Multi-Task User Interface Modeling Yang Li Gang Li Xin Zhou Mostafa Dehghani A. Gritsenko MLLM 35 35 0 10 Dec 2021
Multimodal Icon Annotation For Mobile Applications Xiaoxue Zang Ying Xu Jindong Chen 22 19 0 09 Jul 2021