1 code implementation • 30 Sep 2023 • Pei Xu, Kaixiang Xie, Sheldon Andrews, Paul G. Kry, Michael Neff, Morgan McGuire, Ioannis Karamouzas, Victor Zordan
The technique is shown to be effective for adapting existing physics-based controllers to a wide range of new styles for locomotion, new task targets, changes in character morphology and extensive changes in environment.
1 code implementation • 5 May 2023 • Pei Xu, Xiumin Shang, Victor Zordan, Ioannis Karamouzas
In contrast to existing data-driven approaches using reinforcement learning that imitate full-body motions, we learn decoupled motions for specific body parts from multiple reference motions simultaneously and directly by leveraging the use of multiple discriminators in a GAN-like setup.
1 code implementation • 21 Feb 2023 • Pei Xu, Jean-Bernard Hayet, Ioannis Karamouzas
Real-time, accurate prediction of human steering behaviors has wide applications, from developing intelligent traffic systems to deploying autonomous driving systems in both real and simulated worlds.
1 code implementation • 15 Mar 2022 • Pei Xu, Jean-Bernard Hayet, Ioannis Karamouzas
Predicting pedestrian movement is critical for human behavior analysis and also for safe and efficient human-agent interactions.
2 code implementations • 21 May 2021 • Pei Xu, Ioannis Karamouzas
We present a simple and intuitive approach for interactive control of physically simulated characters.
1 code implementation • 18 Mar 2021 • Pei Xu, Ioannis Karamouzas
Despite significant advancements in the field of multi-agent navigation, agents still lack the sophistication and intelligence that humans exhibit in multi-agent settings.
no code implementations • 28 Sep 2020 • Pei Xu, Ioannis Karamouzas
Controlling the movements of highly articulated agents and robots has been a long-standing challenge to model-free deep reinforcement learning.
1 code implementation • 16 Mar 2020 • Pei Xu, Ioannis Karamouzas
We exploit particle filtering to dynamically explore and discretize the action space, and track the posterior policy represented as a mixture distribution.
no code implementations • 3 Jan 2020 • Pei Xu, Shan Huang, Hongzhen Wang, Hao Song, Shen Huang, Qi Ju
Chinese keyword spotting is a challenging task as there is no visual blank for Chinese words.
5 code implementations • 31 Aug 2017 • Baoguang Shi, Cong Yao, Minghui Liao, Mingkun Yang, Pei Xu, Linyan Cui, Serge Belongie, Shijian Lu, Xiang Bai
This report introduces RCTW, a new competition that focuses on Chinese text reading.
no code implementations • 24 Apr 2017 • Pei Xu
The whole system consists of three components: hand detection, gesture recognition and human-computer interaction (HCI) based on recognition; and realizes the robust control of mouse and keyboard events with a higher accuracy of gesture recognition.