Search Results for author: Meiqing Wu

Found 5 papers, 2 papers with code

CAP-Context-Aware-Pruning-for-Semantic-Segmentation

1 code implementation6 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.

Network Pruning Segmentation +1

CAP: Context-Aware Pruning for Semantic-Segmentation

1 code implementation6 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.

Network Pruning Segmentation +1

SSA-CNN: Semantic Self-Attention CNN for Pedestrian Detection

no code implementations25 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.

Autonomous Driving Computational Efficiency +3

Situation-Aware Pedestrian Trajectory Prediction with Spatio-Temporal Attention Model

no code implementations13 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.

Autonomous Driving Collision Avoidance +3

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