87 citations · 162 across the 18 of their papers we have counts for
6 papers · 1 filter
Point2Node: Correlation Learning of Dynamic-Node for Point Cloud Feature Modeling
Wenkai Han, Chenglu Wen, Cheng Wang +2
Fully exploring correlation among points in point clouds is essential for their feature modeling. This paper presents a novel end-to-end graph model, named Point2Node, to represent…
GMAN: A Graph Multi-Attention Network for Traffic Prediction
Chuanpan Zheng, Xiaoliang Fan, Cheng Wang +1
Long-term traffic prediction is highly challenging due to the complexity of traffic systems and the constantly changing nature of many impacting factors. In this paper, we focus on…
Accelerating Mini-batch SARAH by Step Size Rules
Zhuang Yang, Zengping Chen, Cheng Wang
StochAstic Recursive grAdient algoritHm (SARAH), originally proposed for convex optimization and also proven to be effective for general nonconvex optimization, has received great…
RF-Net: An End-to-End Image Matching Network based on Receptive Field
Xuelun Shen, Cheng Wang, Xin Li +5
This paper proposes a new end-to-end trainable matching network based on receptive field, RF-Net, to compute sparse correspondence between images. Building end-to-end trainable mat…
PointNLM: Point Nonlocal-Means for vegetation segmentation based on middle echo point clouds
Jonathan Li, Rongren Wu, Yiping Chen +3
Middle-echo, which covers one or a few corresponding points, is a specific type of 3D point cloud acquired by a multi-echo laser scanner. In this paper, we propose a novel approach…
LO-Net: Deep Real-time Lidar Odometry
Qing Li, Shaoyang Chen, Cheng Wang +4
We present a novel deep convolutional network pipeline, LO-Net, for real-time lidar odometry estimation. Unlike most existing lidar odometry (LO) estimations that go through indivi…