1 code implementation • 18 Jul 2024 • Changshuo Wang, Meiqing Wu, Siew-Kei Lam, Xin Ning, Shangshu Yu, Ruiping Wang, Weijun Li, Thambipillai Srikanthan
The core of GPSFormer is the Global Perception Module (GPM) and the Local Structure Fitting Convolution (LSFConv).
Ranked #4 on
3D Point Cloud Classification
on ScanObjectNN
no code implementations • 19 Apr 2021 • Yidan Sun, Guiyuan Jiang, Siew-Kei Lam, Peilan He, Fangxin Ning
We propose a Heterogeneous Spatial Correlation (HSC) model to capture the spatial correlation based on a specific measurement, where the traffic data of varying road segments can be heterogeneous (i. e. obtained with different sampling frequency).
no code implementations • 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 • 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 • 11 Dec 2020 • Sirin Haddad, Siew-Kei Lam
To fill this gap, we propose Social Trajectory Recommender-Gated Graph Recurrent Neighborhood Network, (STR-GGRNN), which uses data-driven adaptive online neighborhood recommendation based on the contextual scene features and pedestrian visual cues.
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.