no code implementations • 3 Aug 2022 • Mei Chee Leong, Haosong Zhang, Hui Li Tan, Liyuan Li, Joo Hwee Lim
Fine-grained action recognition is a challenging task in computer vision.
no code implementations • 24 May 2022 • Qianli Xu, Nicolas Gauthier, Wenyu Liang, Fen Fang, Hui Li Tan, Ying Sun, Yan Wu, Liyuan Li, Joo-Hwee Lim
When deploying a robot to a new task, one often has to train it to detect novel objects, which is time-consuming and labor-intensive.
no code implementations • 12 Oct 2021 • Mei Chee Leong, Hui Li Tan, Haosong Zhang, Liyuan Li, Feng Lin, Joo Hwee Lim
Inspired by the recently proposed hierarchy representation of fine-grained actions in FineGym and SlowFast network for action recognition, we propose a novel multi-task network which exploits the FineGym hierarchy representation to achieve effective joint learning and prediction for fine-grained human action recognition.
no code implementations • 8 Mar 2021 • Jiafei Duan, Samson Yu, Hui Li Tan, Hongyuan Zhu, Cheston Tan
This paper aims to provide an encyclopedic survey for the field of embodied AI, from its simulators to its research.
1 code implementation • 3 Oct 2020 • Jiafei Duan, Samson Yu, Hui Li Tan, Cheston Tan
The problem of task planning for artificial agents remains largely unsolved.