Yi-Ting Chen

Research Scientist at Honda Research Institute

Email: YChen [at] honda-ri [dot] com

I am a research scientist at Honda Research Institute working on computer vision and machine learning. Specifically, I am working on 3D dynamic scene understanding, driver behavior modeling, and their applications. 

I received the Ph.D. 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 am honored to work with Dr. Behzad Dariush (research intern at Honda Research Institute, Summer 2015), Dr. Deepak Chandra and Brandon Barbello (visiting researcher at Google, Spring 2015), Dr. Mark Shaw and Terry Nelson (research imaging intern at HP, Summer 2011), and Prof. Thomas Huang and Dr. Zhen Li (visiting researcher at UIUC, Spring 2009).

Here is my CV.

  • 02/2019: [NEW] One CVPR'19 on grounding human-to-vehicle advice for driver behavior modeling is accepted!
  • 01/2019: [NEW] One ICRA'19 on a dataset for benchmarking full-surround 3D object detection and tracking is accepted [paper][project page]!
  • 07/2018: [NEW] A paper are accepted at ITSC'18!
  • 04/2018: [NEW] Two papers are accepted at IV'18!
  • 02/2018: [NEW] A CVPR'18 paper on a dataset for learning driver behavior is accepted [project page]!
  • 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    


      Journal Paper
  • A. Ceravola, F. Joublin, H. Wersing, S. Hasler, B. Dariush, and Y.-T. Chen, "A Data Management Infrastructure for Intelligent Systems," Journal of the Japanese Society for Artificial Intelligence, Vol. 33, No. 1, January 2018.

    Conference Papers
  • J. Kim, T. Misu, Y.-T. Chen, A. Tawari, and J. Canny, "Grounding Human-to-Vehicle Advice for Self-driving Vehicles," IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019. [paper][project page]
  • A. Patil, S. Malla, H. Gang, and Y.-T. Chen, "The H3D Dataset for Full-Surround 3D Multi-Object Detection and Tracking in Crowded Urban Scenes," IEEE Conference on Robotics and Automation (ICRA), 2019. [paper][project page]
  • V. Ramanishka, Y.-T. Chen, T. Misu, and K. Saenko, "Toward Driving Scene Understanding: A Dataset for Learning Driver Behavior and Casual Reasoning," IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018. [paper][project page]
  • T. Misu and Y.-T. Chen, "Toward Reasoning of Driver Behavior," IEEE Conference on Intelligent Transportation Systems (ITSC), 2018.
  • C.-Y. Wang, A. Narayanan, A. Patil, W. Zhan, and Y.-T. Chen, "A 3D Dynamic Scene Analysis Framework for Development of Intelligent Transportation Systems," IEEE Intelligent Vehicle Symposium (IV), 2018. [paper][video]
  • W. Zhan, A. de La Fortelle, Y.-T. Chen, C.-Y. Chan, and M. Tomizuka, "Probabilistic Prediction from Planning Perspective: Problem Formulation, Representation Simplification and Evaluation Metric," IEEE Intelligent Vehicle Symposium (IV), 2018.
  • Y. Lu, J. Huang, Y.-T. Chen, B. Heisele, "Monocular Localization in Urban Environments using Road Marking," Intelligent Vehicles Symposium (IV), 2017.
  • G. Zhong, Y.-H. Tsai, Y.-T. Chen, M.-H. Yang, X. Mei, D. Prokhorov, and M. James, "Learning to Tell Brake Lights with Convolutional Features," International Conference on Intelligent Transportation Systems (ITSC), 2016.
  • Y.-T. Chen, J. Yang and M.-H. Yang, "Extracting Image Regions by Structured Edge Prediction," IEEE Winter Conference on Applications of Computer Vision (WACV), 2015. [project webpage][paper][poster][code
  • A. Jumabayeva, Y.-T. Chen, T. Frank, R. Ulichney, and J. P. Allebach, "Design of irregular screen sets that generate maximally smooth halftone patterns," Color Imaging XVIII: Displaying, Processing, Hardcopy, and Applications, 2015. [paper
  • Y.-T. Chen, T. Kashti, T. Frank, R. Ulichney, and J. P. Allebach, "Fourier-based analysis of regular and irregular periodic, clustered-dot halftone textures," International Congress of Imaging Science (ICIS), 2014. [paper
  • Y.-T. Chen, T. Nelson, T. Ogle, H. Ren, M. Q. Shaw, and J. P. Allebach, "Laser Scanner Jitter Characterization," IS&T International Conference on Digital Printing Technologies (NIP), 2013. [paper
  • Y.-T. Chen, D.-Y. Tzeng, T. Nelson, M. Q. Shaw, and J. P. Allebach, "Segmentation for Better Rendering of Mixed-Content Pages," Color Imaging XVIII: Displaying, Processing, Hardcopy, and Applications, 2013. [paper
  • Y.-T. Chen, Z. Li, and T. 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), 2010. [paper