Now showing items 1-3 of 3

    • DARC: A Visual Analytics System for Multivariate Applicant Data Aggregation, Reasoning and Comparison 

      Hou, Yihan; Liu, Yu; Wang, He; Zhang, Zhichao; Li, Yue; Liang, Hai-Ning; Yu, Lingyun (The Eurographics Association, 2022)
      People often make decisions based on their comprehensive understanding of various materials, judgement of reasons, and comparison among choices. For instance, when hiring committees review multivariate applicant data, they ...
    • Learning a Generative Model for Multi-Step Human-Object Interactions from Videos 

      Wang, He; Pirk, Sören; Yumer, Ersin; Kim, Vladimir; Sener, Ozan; Sridhar, Srinath; Guibas, Leonidas (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      Creating dynamic virtual environments consisting of humans interacting with objects is a fundamental problem in computer graphics. While it is well-accepted that agent interactions play an essential role in synthesizing ...
    • Model‐based Crowd Behaviours in Human‐solution Space 

      Xiang, Wei; Wang, He; Zhang, Yuqing; Yip, Milo K.; Jin, Xiaogang (© 2023 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd., 2023)
      Realistic crowd simulation has been pursued for decades, but it still necessitates tedious human labour and a lot of trial and error. The majority of currently used crowd modelling is either empirical (model‐based) or ...