4 citations · 13 across the 6 of their papers we have counts for
7 papers
Towards Accurate Loop Closure Detection in Semantic SLAM with 3D Semantic Covisibility Graphs
Zhentian Qian, Jie Fu, Jing Xiao
Loop closure is necessary for correcting errors accumulated in simultaneous localization and mapping (SLAM) in unknown environments. However, conventional loop closure methods base…
One-shot Joint Extraction, Registration and Segmentation of Neuroimaging Data
Yao Su, Zhentian Qian, Lei Ma +2
Brain extraction, registration and segmentation are indispensable preprocessing steps in neuroimaging studies. The aim is to extract the brain from raw imaging scans (i.e., extract…
Topology-Guided Modular Actor-Critic Learning for Continuous Systems under Temporal Objectives
Lening Li, Zhentian Qian, Jianan Xia +7
We study formal policy synthesis for continuous-state stochastic systems under linear temporal logic specifications. The product of the system with the automaton of the specificati…
Autonomous Search of Semantic Objects in Unknown Environments
Zhentian Qian, Jie Fu, Jing Xiao
This paper addresses the problem of enabling a robot to search for a semantic object, i.e., an object with a semantic label, in an unknown and GPS-denied environment. For the robot…
ERNet: Unsupervised Collective Extraction and Registration in Neuroimaging Data
Yao Su, Zhentian Qian, Lifang He +1
Brain extraction and registration are important preprocessing steps in neuroimaging data analysis, where the goal is to extract the brain regions from MRI scans (i.e., extraction s…
Semantic SLAM with Autonomous Object-Level Data Association
Zhentian Qian, Kartik Patath, Jie Fu +1
It is often desirable to capture and map semantic information of an environment during simultaneous localization and mapping (SLAM). Such semantic information can enable a robot to…