87 citations · 94 across the 4 of their papers we have counts for
4 papers
MobileInst: Video Instance Segmentation on the Mobile
Renhong Zhang, Tianheng Cheng, Shusheng Yang +8
Video instance segmentation on mobile devices is an important yet very challenging edge AI problem. It mainly suffers from (1) heavy computation and memory costs for frame-by-frame…
GRIP++: Enhanced Graph-based Interaction-aware Trajectory Prediction for Autonomous Driving
Xin Li, Xiaowen Ying, Mooi Choo Chuah
Despite the advancement in the technology of autonomous driving cars, the safety of a self-driving car is still a challenging problem that has not been well studied. Motion predict…
DAC: Data-free Automatic Acceleration of Convolutional Networks
Xin Li, Shuai Zhang, Bolan Jiang +3
Deploying a deep learning model on mobile/IoT devices is a challenging task. The difficulty lies in the trade-off between computation speed and accuracy. A complex deep learning mo…
ReHAR: Robust and Efficient Human Activity Recognition
Xin Li, Mooi Choo Chuah
Designing a scheme that can achieve a good performance in predicting single person activities and group activities is a challenging task. In this paper, we propose a novel robust a…