299 citations · 321 across the 5 of their papers we have counts for
5 papers
Efficient Human Pose Estimation by Maximizing Fusion and High-Level Spatial Attention
Zhiyuan Ren, Yaohai Zhou, Yizhe Chen +2
In this paper, we propose an efficient human pose estimation network -- SFM (slender fusion model) by fusing multi-level features and adding lightweight attention blocks -- HSA (Hi…
DA4AD: End-to-End Deep Attention-based Visual Localization for Autonomous Driving
Yao Zhou, Guowei Wan, Shenhua Hou +4
We present a visual localization framework based on novel deep attention aware features for autonomous driving that achieves centimeter level localization accuracy. Conventional ap…
Learning Efficient Video Representation with Video Shuffle Networks
Pingchuan Ma, Yao Zhou, Yu Lu +1
3D CNN shows its strong ability in learning spatiotemporal representation in recent video recognition tasks. However, inflating 2D convolution to 3D inevitably introduces additiona…
DeepICP: An End-to-End Deep Neural Network for 3D Point Cloud Registration
Weixin Lu, Guowei Wan, Yao Zhou +3
We present DeepICP - a novel end-to-end learning-based 3D point cloud registration framework that achieves comparable registration accuracy to prior state-of-the-art geometric meth…
Modelling Sentence Pairs with Tree-structured Attentive Encoder
Yao Zhou, Cong Liu, Yan Pan
We describe an attentive encoder that combines tree-structured recursive neural networks and sequential recurrent neural networks for modelling sentence pairs. Since existing atten…