FENGTING YANG

Ph.D. Candidate · Computer Vision and Deep Learning · fuy34 [at] psu.edu

I am a third-year Ph.D. student supervised by Dr. Zihan Zhou. Before joining Penn State, I worked with Dr. Bin Wu , and received my Master degree in Instrument Science and Technology and Bachelor degree in Measuring and Control Technology and Instrumentations from Tianjin University in 2017 and 2014, respectively.

My research interest lies on computer vision and deep learning, especially focusing on 3D vision. Currently, I am working on projects that use deep learning methods to recover 3D structures from image(s). Please refer to my CV for more details.


PUBLICATIONS

Superpixel Segmentation with Fully Convolutional Networks

Fengting Yang, Qian Sun, Hailin Jin, and Zihan Zhou
In IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2020 [pdf] [supp] [code]

Recovering 3D Planes from a Single Image via Convolutional Neural Networks

Fengting Yang and Zihan Zhou
In European Conference on Computer Vision (ECCV). 2018 [pdf] [supp] [code]

A Cost-effective Non-orthogonal 3D Measurement System

Fengting Yang, Bin Wu, Ting Xue, Mohammed Farhan Ahmed and Jie Huang
Measurement, 128 (2018), pp.264-270. [pdf]

The Error Analysis of the Non-Orthogonal Total Station Coordinate Measurement System

Bin Wu, Wen Ding, Fengting Yang, and Ting Xue
Acta Metrologica Sinica, 2017, 38(6): 661-666 (In Chinese) [pdf]

A Novel Calibration Method for Non-orthogonal Shaft Laser Theodolite Measurement System

Bin Wu, Fengting Yang, Wen Ding, and Ting Xue.
Review of Scientific Instruments 87, no. 3 (2016): 035102. [pdf]

PATENTS

A Non-orthogonal Laser Total Station Based 3D Coordinate Measurement Method

Bin Wu, Ting Xue, and Fengting Yang
China Invention Patent, ZL 201610915794, May 2019 [link]

An Inverse Kinematic Model for Non-orthogonal Laser Theodolite

Ting Xue, Bin Wu, and Fengting Yang
China Invention Patent, ZL 201610949270, Mar. 2019 [link]

EXPERIENCE

Research Assistant

College of Information Science and Technology, Penn State University

Proposed a single-view plane recovery method for piecewise planar reconstruction, and a CNN-based superpixel segmentation method for detail preserved down- and up-sampling.

Aug. 2017 - present

Reserch Intern

ByteDance Inc. (Palo Alto)

Developed a weakly supervised single-view plane recovery method that can simultaneously predict plane segments and parameters with only depth supervision.

May. 2019 - Aug. 2019

Research Assistant

State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University

Developed the measurement principle, the hardware/software of two non-orthogonal measurement systems for large scale 3D measurement

Sept. 2014 - Jan. 2017

Teaching Assistant

School of Precision Instruments and Optoelectronics Engineering, Tianjin University

Subject: Principle of Automatic Control

Sept. 2015 - Feb. 2016

Research Intern

Zhejiang Nuoke Electronic Technology Development Co., Ltd

Designed a ZigBee based ad-hoc mesh network for real-time outdoor communication.

Feb. 2014 - May. 2014

AWARDS

  • National Scholarship for Graduate Students, China, 2016 (2%)
  • Chiang Chen Scholarship, China, 2014, 2015 (5%)
  • First-Class Academic Scholarship, China, 2014 (10%)
  • Third Prize in iCAN Contest (Tianjin Division), China, 2012