Chenyou Fan
Ph.D. Candidate
Department of Computer Science and Informatics
School of Informatics and Computing
Indiana University Bloomington


I am now a computer vision engineer at AI&BD team of USA.
I am also working on gaining my Ph.D. degree of Computer Science from School of Informatics and Computing at Indiana University.
My research topics include predicting robotics motion, recognizing first-person videos, and captioning first-person images with deep learning methods.

Curriculum Vitae pdf

Committee Members

David J. Crandall
Michael S. Ryoo
Paul W. Purdom
Chunfeng Huang


  • Mingze Xu, Chenyou Fan, John Paden, Geoffrey Fox, and David Crandall. "Multi-Task Spatiotemporal Neural Networks for Structured Surface Reconstruction." IEEE Winter Conference on Applications of Computer Vision 2018 (WACV’18). [pdf]
  • Chenyou Fan, Jangwon Lee and Michael S. Ryoo. "Forecasting Hand and Object Locations inFuture Frames." [ArXiv]
  • C. Fan, J. Lee, M. Xu, K.K. Singh, Y.J. Lee, D.J. Crandall, M.S. Ryoo, "Identifying first-person camera wearers in third-person videos", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 2017. [pdf] [poster] [example video] [data & project page]
  • A. Piergiovanni, C. Fan, and M. S. Ryoo, "Learning Latent Sub-events in Activity Videos Using Temporal Attention Filters", the 31st AAAI Conference on Artificial Intelligence (AAAI), February 2017. [pdf] [source_code]
  • C. Fan and D.J. Crandall, "Deepdiary: Automatically Captioning Lifelogging Image Streams", European Conference on Computer Vision International Workshop on Egocentric Perception, Interaction, and Computing (EPIC@ECCV), October 2016. [pdf and source_code] [poster]


  • Chenyou Fan. "Survey of Convolutional Neural Network" pdf

Associate Instructor

B551: Elements of Artificial Intelligence
B555: Algorithm Design and Analysis

Updated 11/01/2017