Qing Li

Affiliations:
  • Pengcheng Laboratory, Shenzhen, China
  • Shenzhen University, Shenzhen Key Laboratory of Spatial Smart Sensing and Services and Key Laboratory for GeoEnvironmental Monitoring of Coastal Zone of the National Administration of Surveying, Mapping and Geoinformation, Shenzhen, China
  • University of Nottingham, School of Computer Science, Nottingham, UK (PhD 2020)


According to our database1, Qing Li authored at least 11 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Integrating satellite and street-level images for local climate zone mapping.
Int. J. Appl. Earth Obs. Geoinformation, May, 2023

2021
Relative geometry-aware siamese neural network for 6DOF camera relocalization.
Neurocomputing, 2021

2020
An investigation into image-based indoor localization using deep learning.
PhD thesis, 2020

A contextual conditional random field network for monocular depth estimation.
Image Vis. Comput., 2020

Deep Learning based Monocular Depth Prediction: Datasets, Methods and Applications.
CoRR, 2020

MiniNet: An extremely lightweight convolutional neural network for real-time unsupervised monocular depth estimation.
CoRR, 2020

PoseGAN: A Pose-to-Image Translation Framework for Camera Localization.
CoRR, 2020

2019
Indoor Topological Localization Using a Visual Landmark Sequence.
Remote. Sens., 2019

Enhancing Remote Sensing Image Retrieval with Triplet Deep Metric Learning Network.
CoRR, 2019

Learning Spatial-Aware Cross-View Embeddings for Ground-to-Aerial Geolocalization.
Proceedings of the Image and Graphics - 10th International Conference, 2019

2017
Visual landmark sequence-based indoor localization.
Proceedings of the 1st Workshop on Artificial Intelligence and Deep Learning for Geographic Knowledge Discovery, 2017


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