Jack Fan
Jack Fan is a research engineer at Uber ATG. He works on several projects on localization and lane extraction. He also designs and implements amazing machine learning training platform and pipeline for the reserach team.
Research Papers
DAGMapper: Learning to Map by Discovering Lane Topology
N. Homayounfar, W.-C. Ma\*, J. Liang\*, X. Wu, J. Fan, R. Urtasun
We map complex lane topologies in highways by formulating the problem as a deep directed graphical model. As an interesting result, we can train our model in I40 and generalize to unseen highways in SF. [PDF]
International Conference on Computer Vision (ICCV), 2019
We map complex lane topologies in highways by formulating the problem as a deep directed graphical model. As an interesting result, we can train our model in I40 and generalize to unseen highways in SF. [PDF]
International Conference on Computer Vision (ICCV), 2019
