Fan Zhang
Orcid: 0000-0002-3643-018XAffiliations:
- Hong Kong University of Science and Technology
- Massachusetts Institute of Technology, Senseable City Lab, Cambridge, MA, USA (2018 - 2022)
- Peking University, Institute of Remote Sensing and Geographical Information System, Beijing, China (2017 - 2018)
- Chinese University of Hong Kong, Institute of Space and Earth Information Science, Hong Kong (PhD 2017)
According to our database1,
Fan Zhang
authored at least 28 papers
between 2016 and 2023.
Collaborative distances:
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Bibliography
2023
Comprehensive urban space representation with varying numbers of street-level images.
Comput. Environ. Urban Syst., December, 2023
GreenScan: Towards large-scale monitoring the health of urban trees using mobile sensing.
CoRR, 2023
Multi-task deep learning for large-scale building detail extraction from high-resolution satellite imagery.
CoRR, 2023
UPDExplainer: an Interpretable Transformer-based Framework for Urban Physical Disorder Detection Using Street View Imagery.
CoRR, 2023
CoRR, 2023
2022
A monocular visual SLAM system augmented by lightweight deep local feature extractor using in-house and low-cost LIDAR-camera integrated device.
Int. J. Digit. Earth, December, 2022
Connect the last mile - textual entailment identify efforts in bridging the digital divide.
Urban Inform., 2022
Rhythm of Transit Stations - Uncovering the Activity-Travel Dynamics of Transit-Oriented Development in the U.S.
IEEE Trans. Intell. Transp. Syst., 2022
STICC: a multivariate spatial clustering method for repeated geographic pattern discovery with consideration of spatial contiguity.
Int. J. Geogr. Inf. Sci., 2022
A Saliency-Guided Street View Image Inpainting Framework for Efficient Last-Meters Wayfinding.
CoRR, 2022
Deep Roof Refiner: A detail-oriented deep learning network for refined delineation of roof structure lines using satellite imagery.
Int. J. Appl. Earth Obs. Geoinformation, 2022
Multi-scale attention integrated hierarchical networks for high-resolution building footprint extraction.
Int. J. Appl. Earth Obs. Geoinformation, 2022
2021
Places for play: Understanding human perception of playability in cities using street view images and deep learning.
Comput. Environ. Urban Syst., 2021
LADV: Deep Learning Assisted Authoring of Dashboard Visualizations From Images and Sketches.
IEEE Trans. Vis. Comput. Graph., 2021
Evaluating healthcare resource inequality in Beijing, China based on an improved spatial accessibility measurement.
Trans. GIS, 2021
Sensing Population Distribution from Satellite Imagery Via Deep Learning: Model Selection, Neighboring Effects, and Systematic Biases.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
Emotional habitat: mapping the global geographic distribution of human emotion with physical environmental factors using a species distribution model.
Int. J. Geogr. Inf. Sci., 2021
Sensing population distribution from satellite imagery via deep learning: model selection, neighboring effect, and systematic biases.
CoRR, 2021
Proceedings of the 7th IEEE International Conference on Network Intelligence and Digital Content, 2021
2020
Comput. Environ. Urban Syst., 2020
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020
Int. J. Geogr. Inf. Sci., 2020
A review of urban physical environment sensing using street view imagery in public health studies.
Ann. GIS, 2020
2019
A regionalization method for clustering and partitioning based on trajectories from NLP perspective.
Int. J. Geogr. Inf. Sci., 2019
Quantifying Legibility of Indoor Spaces Using Deep Convolutional Neural Networks: Case Studies in Train Stations.
CoRR, 2019
2018
ISPRS Int. J. Geo Inf., 2018
2016
Indoor Space Recognition using Deep Convolutional Neural Network: A Case Study at MIT Campus.
CoRR, 2016