I am currently a second-year PhD student in Robotics Institute of Carnegie Mellon University, under supervision of Dr. Simon Lucey and Dr. Michael Kaess . I am interested in robot vision, especially for 3D reconstruction and efficient real-world deep network applications. Before CMU, I graduated from Electrical Engineering department of National Taiwan University in 2012, directed by Dr. Li-chen Fu. And worked in Quanta Computer and MediaTek as ISP(Image Signal Processor) algorithm developer for 3 years. Link to CV

Contact: mingfanc at andrew dot cmu dot edu

Recent News

Recent Publications

Google Scholar

  1. Ming-Fang Chang*; John Lambert*; Patsorn Sangkloy*; Jagjeet Singh*; Slawomir Bak; Andrew Hartnett; De Wang; Peter Carr; Simon Lucey; Deva Ramanan; James Hays, “Argoverse: 3D Tracking and Forecasting With Rich Maps”, accepted by CVPR2019 (Thanks to the hard work of all co-authors!!) (Oral) (link) (website)

  2. Calvin Murdock, Ming-Fang Chang, Simon Lucey, Deep Component Analysis via Alternating DirectionNeural Networks, accepted by ECCV2018 (link)

  3. Ming-Fang Chang, Simon Lucey, “Monocular Depth from Small Motion using Surface Normal Prediction”, submitted (link), 2018

  4. Christopher Ham, Ming-Fang Chang, Simon Lucey, and Surya Singh , “Metric Monocular Depth from Small Motion Video Accelerated”, accepted by International Conference on 3D Vision (3DV), 2017 (Spotlight) (link)

Teaching

  1. TA for Robot Localization and Mapping(16833), 2019 fall at CMU
  2. TA for Computer Vision(16720B), 2018 fall at CMU