Publications
SalienTime: User-driven Selection of Salient Time Steps for Large-Scale Geospatial Data Visualization
ACM SIGCHI Conference on Human Factors in Computing Systems 2024 (CHI 2024)
Selecting a subset of time steps with user-specified priorities, leveraging structural variation info learned by Autoencoders.
Projects
Posts
SalienTime: User-driven Selection of Salient Time Steps for Large-Scale Geospatial Data Visualization
Juntong Chen, Haiwen Huang, Huayuan Ye, Zhong Peng, Chenhui Li, Changbo Wang
ACM SIGCHI Conference on Human Factors in Computing Systems 2024 (CHI 2024)
Selecting a subset of time steps with user-specified priorities, leveraging structural variation info learned by Autoencoders.