no code implementations • 1 Feb 2021 • Xiaodong Mei, Yuxiang Sun, Yuying Chen, Congcong Liu, Ming Liu
To provide a solution to this problem, we propose a novel branched network G-CIL for the navigation policy learning.
no code implementations • 14 Jan 2021 • Congcong Liu, Yuying Chen, Ming Liu, Bertram E. Shi
We suggest that introducing an attention mechanism to infer the importance of different neighbors is critical for accurate trajectory prediction in scenes with varying crowd size.
no code implementations • 15 Sep 2020 • Yuying Chen, Congcong Liu, Xiaodong Mei, Bertram E. Shi, Ming Liu
Fully investigating the social interactions within the crowd is crucial for accurate pedestrian trajectory prediction.
no code implementations • 2 May 2020 • Yuying Chen, Congcong Liu, Bertram Shi, Ming Liu
Forecasting human trajectories is critical for tasks such as robot crowd navigation and autonomous driving.
no code implementations • 16 Apr 2020 • Tianyu Liu, Qinghai Liao, Lu Gan, Fulong Ma, Jie Cheng, Xupeng Xie, Zhe Wang, Yingbing Chen, Yilong Zhu, Shuyang Zhang, Zhengyong Chen, Yang Liu, Meng Xie, Yang Yu, Zitong Guo, Guang Li, Peidong Yuan, Dong Han, Yuying Chen, Haoyang Ye, Jianhao Jiao, Peng Yun, Zhenhua Xu, Hengli Wang, Huaiyang Huang, Sukai Wang, Peide Cai, Yuxiang Sun, Yandong Liu, Lujia Wang, Ming Liu
Moreover, many countries have imposed tough lockdown measures to reduce the virus transmission (e. g., retail, catering) during the pandemic, which causes inconveniences for human daily life.
no code implementations • 23 Sep 2019 • Yuying Chen, Congcong Liu, Ming Liu, Bertram E. Shi
Previous work has shown the power of deep reinforcement learning frameworks to train efficient policies.
1 code implementation • 23 Aug 2019 • Fei Wang, Qi Liu, Enhong Chen, Zhenya Huang, Yuying Chen, Yu Yin, Zai Huang, Shijin Wang
Cognitive diagnosis is a fundamental issue in intelligent education, which aims to discover the proficiency level of students on specific knowledge concepts.
no code implementations • 10 Jul 2019 • Congcong Liu, Yuying Chen, Lei Tai, Ming Liu, Bertram Shi
Vision-based autonomous driving through imitation learning mimics the behaviors of human drivers by training on pairs of data of raw driver-view images and actions.
no code implementations • 17 Apr 2019 • Yuying Chen, Congcong Liu, Lei Tai, Ming Liu, Bertram E. Shi
The basic idea behind behavioral cloning is to have the neural network learn from observing a human expert's behavior.
1 code implementation • 15 Apr 2019 • Haoyang Ye, Yuying Chen, Ming Liu
By sensor fusion, we can compensate the deficiencies of stand-alone sensors and provide more reliable estimations.
1 code implementation • 3 Mar 2019 • Lei Tai, Peng Yun, Yuying Chen, Congcong Liu, Haoyang Ye, Ming Liu
End-to-end visual-based imitation learning has been widely applied in autonomous driving.