Yi-Ting Chen

Research Scientist at Honda Research Institute

Email: YChen [at] hra [dot] com

I am a research scientist at Honda Research Institute working on computer vision, multimodal fusion and machine learning. Specifically, I am developing multimodal fusion algorithms for large scale 2D/3D scene understanding. 

I received the PhD degree in Electrical and Computer Engineering from Purdue University advised by Prof. Jan Allebach in 2015. My research topics at Purdue are digital image processing and digital imaging. From June 2014 to April 2015, I worked as a visiting student at UC Merced advised by Prof. Ming-Hsuan Yang. At Merced, I worked on computer vision and machine learning. In particular, I worked on object segmentation, detection and recognition.

Previously, I had great experiences to work with Bezhad Dariush (research intern at Honda Research Institute, Summer 2015), Deepak Chandra and Brandon Barbello (visiting researcher at Google, Spring 2015), Mark Shaw and Terry Nelson (research imaging intern at HP, Summer 2011), and Thomas Huang and Zhen Li (visiting researcher at UIUC, Spring 2009).

Here is my CV.

  • 08/2015: Start working as a research scientist at Honda Research Institute
  • 08/2015: Give a talk about my CVPR'15 at Honda Research Institute [slide
  • 06/2015: Source code of our WACV'15 is released [link]
  • 05/2015: Start my research internship at Honda Research Institute
  • 03/2015: One CVPR'15 paper is accepted
  • 01/2015: Visit Google as a visiting researcher working on mobile authentication
  • 10/2014: One WACV'15 paper is accepted
  • 06/2014: Start working as a computer vision researcher at UC Merced    


      Conference Papers
  1. Guangyu Zhong, Yi-Hsuan Tsai, Yi-Ting Chen, Ming-Hsuan Yang, Xue Mei, Danil Prokhorov, and Michael James, "Learning to Tell Brake Lights with Convolutional Features," International Conference on Intelligent Transportation Systems (ITSC), Brazil, 2016.
  2. Yi-Ting Chen, Xiaokai Liu and Ming-Hsuan Yang, "Multi-instance Object Segmentation with Occlusion Handling," IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Boston, MA, 2015. [project webpage][paper][ext. abstract][supp][poster][slide]
  3. Yi-Ting Chen, Jimei Yang and Ming-Hsuan Yang, "Extracting Image Regions by Structured Edge Prediction," IEEE Winter Conference on Applications of Computer Vision (WACV), Waikoloa Beach, HI, 2015. [project webpage][paper][poster][code]
  4. Altyngul Jumabayeva, Yi-Ting Chen, Tal Frank, Robert Ulichney and Jan Allebach, "Design of irregular screen sets that generate maximally smooth halftone patterns," 
    Color Imaging XVIII: Displaying, Processing, Hardcopy, and Applications, San Francisco, CA, 2015. [paper]
  5. Yi-Ting Chen, Tamar Kashti, Tal Frank, Robert Ulichney, and Jan Allebach, "Fourier-based analysis of regular and irregular periodic, clustered-dot halftone textures,International Congress of Imaging Science (ICIS), Tel Aviv, Israel, 2014. [paper]
  6. Yi-Ting Chen, Terry Nelson, Tami Ogle, Hong Ren, Mark Q. Shaw, and 
    Jan P. Allebach, "Laser Scanner Jitter Characterization," IS&T International Conference on Digital Printing Technologies (NIP), Seattle, WA, 2013. [paper]
  7. Yi-Ting Chen, Di-Yuan Tzeng, Terry Nelson, Mark Shaw, and Jan Allebach, 
    "Segmentation for Better Rendering of Mixed-Content Pages," Color Imaging XVIII: Displaying, Processing, Hardcopy, and Applications, San Francisco, CA, 2013. [paper]
  8. Yi-Ting Chen, Zhen Li, and Thomas S. Huang, "A Study of Multi-View Gender Recognition on a Large Database," accepted by IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Dallas, TX, 2010. [paper]