Shaohui Sun's Homepage  
Doctoral Dissertation Defended on Dec. 4th, 2013
Shaohui Sun

Ph.D. in Imaging Science
(entered program in Sep. 2010)

Sr. Architect - Computer Vision @ Vipshop USA Inc (NYSE: VIPS)

Reviewer of Pattern Recognition

Reviewer of Sensors

Reviewer of Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Reviewer of EURASIP Journal on Advances in Signal Processing

Reviewer of Remote Sensing

Advisor:  Carl Salvaggio, Ph.D.

Digital Imaging and Remote Sensing Laboratory
Chester F. Carlson Center for Imaging Science
Rochester Institute of Technology

Phone:  (585) 752-5618

My Complete CV

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Previous Education
B.S.  Biomedical Engineering (2006), Sun Yat-sen University(中山大学), Guangzhou, China
M.S. Computer Science           (2008), Sun Yat-sen University(中山大学), Guangzhou, China

Previous Experience
2015.2 - 2015.10    Sr. Staff Engineer ,            Volkswagen Group of America - ERL (Belmont, CA).
2013.1 - 2015.2    Sr. Computer Vision Engineer ,            Hover Inc (San Fransisco, CA).
2012.1 - 2012.4    Research Developer (Part-time),            Willow Garage (Menlo Park , CA).
2008.7 - 2010.6    Software Designer,                                   Tektronix (China Development Center).
2007.4 - 2007.6    Software Developer (Intern),                    Microsoft (Windows Live Mobile China).

Research Interest
3D feature extraction from 2D multi-view imagery,  LIDAR 3D feature extraction, point cloud registration, image and video compression, image registration, data fusion

Ph.D. Dissertation: Automatic 3D Building Detection and Modeling from Airborne LiDAR Point Clouds (pdf) (slides) (video)

Snapshot of my research (fully automatic reconstruction of RIT north campus)

Snapshot of my research (fully automatic reconstruction of downtown Rochester)

IGARSS 2012, July 26, 2012 (slides)
DIRS Weekly Group Meeting, July 11, 2012
SPIE Medical Imaging 2012, Conference on Image Processing, Feb. 8, 2012 (slides)
Center for Applied and Computational Mathematics Weekly Seminar, Jan. 30, 2012
IS&T RIT Student Chapeter, Jan. 20, 2012
The 3rd Annual RIT Graduate Research Symposium, July 22, 2011


Shaohui Sun, Carl Salvaggio, "Aerial 3D Building Detection and Modeling from Airborne LiDAR Point Clouds", Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of , vol.6, no.3, pp.1440,1449, June 2013. (pdf)

Shaohui Sun, Carl Salvaggio, "Complex Building Roof Detection and Strict Description From LIDAR Data and Orthorectified Aerial Imagery", IEEE International Geoscience and Remote Sensing Symposium, Munich, Germany, July 22-27, 2012. (peer reviewed)(pdf)

David R. Nilosek, Shaohui Sun, and Carl Salvaggio "Geo-Accurate Model Extraction from Three-Dimensional Image-Derived Point Clouds", Defense, Security, and Sensing, Proceeding of SPIE Vol. 8390, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII, Baltimore, MD, USA, Apr., 2012. (pdf)

Shaohui Sun, Nzola De Magalhaes, and Nathan D. Cahill, "Nearly Rigid Descriptor-Based Matching for Volume Reconstruction from Histological Sections", SPIE Medical Imaging, Proceedings of SPIE Vol. 8314, Image Processing, San Diego, CA, United States, Feb., 2012. (peer reviewed)(pdf)

Jiyuan Lu, Shaohui Sun, Hongyang Chao, “A Fast Algorithm for Multi-frame Selection with Jointly Optimization of Fractional Pixel Motion Estimation,” JOURNAL OF COMPUTER SCIENCE, Vol.37, No.6, June 2010.

Chunyi Lin, Junxun Yin, Xue Gao, Jianyu Chen and Shaohui Sun, “A Multi-level Medical Image Semantic Modeling Approach based on Statistical Learning,” JOURNAL OF SHENZHEN UNIVERSITY SCIENCE AND ENGINEERING, Vol.24, No.2, April 2007.

Master Thesis
“Fast Multi-frame Selection Motion Estimation Algorithm in H.264,” Sun Yat-sen University, June, 2008

RIT Winter Graduate Research and Creativity Grant ($350)

Upcoming Deadlines

Useful Links
Point Cloud Library (A sister project of OpenCV)
Computer Vision Reading Group

Exciting dataset (Imagery & LIDAR) about the city of San Fransisco.

Trimble Code Sprint 2012 
Development Blog


RIT Homepage