activity
20182021
most citedAttention-SLAM: A Visual Monocular SLAM Learning from Human Gaze

5 citations · 6 across the 2 of their papers we have counts for

collaborators

7 papers

cs.CV20211 cited

StructDepth: Leveraging the structural regularities for self-supervised indoor depth estimation

Boying Li, Yuan Huang, Zeyu Liu +2

Self-supervised monocular depth estimation has achieved impressive performance on outdoor datasets. Its performance however degrades notably in indoor environments because of the l…

cs.CV20205 cited

Attention-SLAM: A Visual Monocular SLAM Learning from Human Gaze

Jinquan Li, Ling Pei, Danping Zou +5

This paper proposes a novel simultaneous localization and mapping (SLAM) approach, namely Attention-SLAM, which simulates human navigation mode by combining a visual saliency model…

cs.CV2020

A Deep Learning Method for Complex Human Activity Recognition Using Virtual Wearable Sensors

Fanyi Xiao, Ling Pei, Lei Chu +4

Sensor-based human activity recognition (HAR) is now a research hotspot in multiple application areas. With the rise of smart wearable devices equipped with inertial measurement un…

cs.CV2019

TextSLAM: Visual SLAM with Planar Text Features

Boying Li, Danping Zou, Daniele Sartori +2

We propose to integrate text objects in man-made scenes tightly into the visual SLAM pipeline. The key idea of our novel text-based visual SLAM is to treat each detected text as a…

q-bio.QM2018

Reconstructing 3D Motion Trajectory of Large Swarm of Flying Objects

Danping Zou, Yan Qiu Chen

This paper addresses the problem of reconstructing the motion trajectories of the individuals in a large collection of flying objects using two temporally synchronized and geometri…

cs.RO2018

StructVIO : Visual-inertial Odometry with Structural Regularity of Man-made Environments

Danping Zou, Yuanxin Wu, Ling Pei +2

We propose a novel visual-inertial odometry approach that adopts structural regularity in man-made environments. Instead of using Manhattan world assumption, we use Atlanta world m…