1 code implementation • 6 Jan 2021 • wei he, Meiqing Wu, Mingfu Liang, Siew-Kei Lam
In this paper, we advocate the importance of contextual information during channel pruning for semantic segmentation networks by presenting a novel Context-aware Pruning framework.
1 code implementation • 6 Jan 2021 • wei he, Meiqing Wu, Mingfu Liang, Siew-Kei Lam
In this paper, we advocate the importance of contextual information during channel pruning for semantic segmentation networks by presenting a novel Context-aware Pruning framework.
no code implementations • 26 Apr 2020 • Qi She, Fan Feng, Qi Liu, Rosa H. M. Chan, Xinyue Hao, Chuanlin Lan, Qihan Yang, Vincenzo Lomonaco, German I. Parisi, Heechul Bae, Eoin Brophy, Baoquan Chen, Gabriele Graffieti, Vidit Goel, Hyonyoung Han, Sathursan Kanagarajah, Somesh Kumar, Siew-Kei Lam, Tin Lun Lam, Liang Ma, Davide Maltoni, Lorenzo Pellegrini, Duvindu Piyasena, ShiLiang Pu, Debdoot Sheet, Soonyong Song, Youngsung Son, Zhengwei Wang, Tomas E. Ward, Jianwen Wu, Meiqing Wu, Di Xie, Yangsheng Xu, Lin Yang, Qiaoyong Zhong, Liguang Zhou
This report summarizes IROS 2019-Lifelong Robotic Vision Competition (Lifelong Object Recognition Challenge) with methods and results from the top $8$ finalists (out of over~$150$ teams).
no code implementations • 25 Feb 2019 • Chengju Zhou, Meiqing Wu, Siew-Kei Lam
We propose a method that explores semantic segmentation results as self-attention cues to significantly improve the pedestrian detection performance.
no code implementations • 13 Feb 2019 • Sirin Haddad, Meiqing Wu, He Wei, Siew Kei Lam
Pedestrian trajectory prediction is essential for collision avoidance in autonomous driving and robot navigation.