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Ming Gong
Ming Gong
PhD student of Electrical Engineering, University of Dayton
Verified email at udayton.edu
Title
Cited by
Cited by
Year
Diagram image retrieval and analysis: Challenges and opportunities
L Yang, M Gong, VK Asari
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
212020
The geometry of large tundra lakes observed in historical maps and satellite images
I Sudakov, A Essa, L Mander, M Gong, T Kariyawasam
Remote Sensing 9 (10), 1072, 2017
82017
TGGLines: A robust topological graph guided line segment detector for low quality binary images
M Gong, L Yang, C Potts, VK Asari, D Oyen, B Wohlberg
arXiv preprint arXiv:2002.12428, 2020
32020
Recognizing figure labels in patents
M Gong, X Wei, D Oyen, J Wu, M Gryder
CEUR Workshop Proceedings: Proceedings of the Workshop on Scientific …, 2021
12021
TGGLinesPlus: A robust topological graph-guided computer vision algorithm for line detection from images
L Yang, J Driscol, M Gong, S Wang, CG Potts
arXiv preprint arXiv:2403.18038, 2024
2024
Machine/Deep Learning Based Glacier Surface Segmentation of ISRO-ASAR Datasets
M Gong, U Haritashya, H Bhasin, WC Chern, V Asari, J Kargel, ...
AGU Fall Meeting Abstracts 2021, G35C-0310, 2021
2021
Integrated color, shape and texture features for object classification on oil/gas pipeline right-of-ways
M Gong, A Essa, V Asari
Automatic Target Recognition XXVIII 10648, 73-82, 2018
2018
Investigation of the Fractal Geometry of Tundra Lake Patterns using Historical Topographic Maps and Satellite Imagery.
T Kariyawasam, A Essa, M Gong, I Sudakov
AGU Fall Meeting Abstracts 2017, C24A-07, 2017
2017
Detection of tundra lake patterns on permafrost historical maps
A Essa, I Sudakov, T Kariyawasam, M Gong, V Asari
2017 IEEE National Aerospace and Electronics Conference (NAECON), 237-240, 2017
2017
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