most citedDenseLiDAR: A Real-Time Pseudo Dense Depth Guided Depth Completion Network

59 citations · 64 across the 6 of their papers we have counts for

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cs.CV2022★ 3 cited

RWT-SLAM: Robust Visual SLAM for Highly Weak-textured Environments

Qihao Peng, Zhiyu Xiang, YuanGang Fan +2

As a fundamental task for intelligent robots, visual SLAM has made great progress over the past decades. However, robust SLAM under highly weak-textured environments still remains…

cs.CV2022★ 1 cited

Objects Matter: Learning Object Relation Graph for Robust Camera Relocalization

Chengyu Qiao, Zhiyu Xiang, Xinglu Wang

Visual relocalization aims to estimate the pose of a camera from one or more images. In recent years deep learning based pose regression methods have attracted many attentions. The…

cs.CV2022★ 1 cited

Homography Loss for Monocular 3D Object Detection

Jiaqi Gu, Bojian Wu, Lubin Fan +4

Monocular 3D object detection is an essential task in autonomous driving. However, most current methods consider each 3D object in the scene as an independent training sample, whil…

cs.CV2022

CVFNet: Real-time 3D Object Detection by Learning Cross View Features

Jiaqi Gu, Zhiyu Xiang, Pan Zhao +4

In recent years 3D object detection from LiDAR point clouds has made great progress thanks to the development of deep learning technologies. Although voxel or point based methods a…

cs.CV2021★ 59 cited

DenseLiDAR: A Real-Time Pseudo Dense Depth Guided Depth Completion Network

Jiaqi Gu, Zhiyu Xiang, Yuwen Ye +1

Depth Completion can produce a dense depth map from a sparse input and provide a more complete 3D description of the environment. Despite great progress made in depth completion, t…

cs.CV2021

Real-time Instance Segmentation with Discriminative Orientation Maps

Wentao Du, Zhiyu Xiang, Shuya Chen +3

Although instance segmentation has made considerable advancement over recent years, it's still a challenge to design high accuracy algorithms with real-time performance. In this pa…