Jiangye Yuan

I am a researcher/engineer at Sturfee. We leverage machine learning, 3D computer vision, remote sensing, and geospatial data analysis to deliver very unique street level augmented reality experience. If you have strong background in these areas and are interested in working on disruptive technologies, feel free to contact me.
I was a research scientist at Amazon, where I worked on image understanding and machine learning. 
Before Amazon, I was a research scientist at Oak Ridge National Laboratory, working on geospatial image understanding.
I received my PhD in Geodetic Science in 2012 and MS in Computer Science and Engineering in 2009, both at The Ohio State University, where I was a member of the Perception and Neurodynamics Lab and the Mapping and GIS Lab.

Email: jiangye07-at-gmail.com

Research Area

Image understanding, machine learning, neural networks, and their applications to real world problems. 

Selected Projects

solarP Large scale solar panel mapping from aerial images
Jiangye Yuan, Hsiu-Han Yang, Olufemi Omitaomu, Budhendra Bhaduri
[web]
bldgExt Deep learning for automatic building extraction
Jiangye Yuan
[
web] [nationwide mapping] [training with OSM]

3dbldg
3D building models from 2D maps and street view images
Jiangye Yuan, Anil Cheriyadat
[web]
bldgext Factorization-based texture segmentation
Jiangye Yuan, DeLiang Wang, Anil Cheriyadat
[web]
bldgCnt Learning to count buildings in aerial scenes
Jiangye Yuan,
Anil Cheriyadat
[web]
GPS filtering Image based GPS trace filtering
Jiangye Yuan, Anil Cheriyadat
[poster
]
bldgExt Road segmentation by exploiting road vector data
Jiangye Yuan, Anil Cheriyadat
[slides
]
asd Aerial image segmentation benchmarking
Jiangye Yuan, Shaun Gleason, Anil Cheriyadat
[web with dataset]

Publications

Journal

  • Jiangye Yuan, “Learning Building Extraction in Aerial Scenes with Convolutional Networks,” IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017. [pdf
  • Jiangye Yuan and Anil M. Cheriyadat, “Image Feature Based GPS Trace Filtering for Road Network Generation and Road Segmentation,” Machine Vision and Applications, 2016. [pdf
  • Jiangye Yuan, DeLiang Wang, and Anil M. Cheriyadat, “Factorization-Based Texture Segmentation,” IEEE Transactions on Image Processing, 2015. [pdf]
  • Jiangye Yuan, Shaun S. Gleason, and Anil M. Cheriyadat, “Systematic Benchmarking for Aerial Image Segmentation,” Geoscience and Remote Sensing Letters, 2013. [pdf]
  • Jiangye Yuan, DeLiang Wang, and Rongxing Li, “Remote Sensing Image Segmentation by Combining Spectral and Textural Features,” IEEE Transactions on Geoscience and Remote Sensing, 2013. [pdf]
  • Jiangye Yuan, DeLiang Wang, and Rongxing Li, “Image Segmentation Using Local Spectral Histograms and Linear Regression,” Pattern Recognition Letters, 2012. [pdf]
  • Jiangye Yuan, DeLiang Wang, Bo Wu, Lin Yan, and Rongxing Li, “LEGION-Based Automatic Road Extraction from Satellite Imagery,” IEEE Transactions on Geoscience and Remote Sensing, 2011. [pdf]
  • Xueming Yang, Jiangye Yuan, Jinsha Yuan, and Huina Mao, “An Improved WM Method Based on PSO for Electric Load Forecasting,” Expert Systems with Applications, 2010.
  • Xueming Yang, Jinsha Yuan, Jiangye Yuan, and Huina Mao, “A Modified Particle Swarm Optimizer with Dynamic Adaptation,” Applied Mathematics and Computation, 2007.
  • Conference

  • Jiangye Yuan, Hsiu-Han L. Yang, Olufemi A. Omitaomu, and Budhendra L. Bhaduri, “Large-Scale Solar Panel Mapping from Aerial Images Using Deep Convolutional Networks,” in Proc. IEEE International Workshop on Big Spatial Data 2016. [pdf]
  • Jiangye Yuan and Anil M. Cheriyadat, “Combining Maps and Street Level Images for Building Height and Facade Estimation,” in Proc. ACM SIGSPATIAL Workshop on Smart Cities and Urban Analytics 2016. [pdf]
  • Jiangye Yuan and Anil M. Cheriyadat, “Learning to Count Buildings in Diverse Aerial Scenes,” in Proc. ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems 2014. [pdf]
  • Jiangye Yuan and Anil M. Cheriyadat, “Image Driven GPS Trace Analysis for Road Map Inference,” in Proc. ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems 2013. [pdf]
  • Jiangye Yuan and Anil Cheriyadat, “Road Segmentation in Aerial Scenes by Exploiting Road Vector Data,” in Proc. International Conference on Computing for Geospatial Research & Applications 2013. [pdf]
  • Jiangye Yuan, DeLiang Wang, Bo Wu, Lin Yan, and Rongxing Li, “Automatic Road Extraction from Satellite Imagery Using LEGION Networks,” in Proc. 2009 International Joint Conference on Neural Networks.