My research focuses on geometric computer vision. I am insterested in developing new approaches for vision tasks including visual odometry, SLAM, multi-view stereo and image-based rendering. I also like studying lower-level tasks such as optical flow and geometric models.
Email: zmin1 [at] stevens.edu
VOLDOR-SLAM: For the times when feature-based or direct methods are not good enough
Zhixiang Min, Enrique Dunn
[pdf] [video] [code]
Our SLAM solution has achieved 2nd place in both tracks (monocular, stereo) of CVPR'20 SLAM Challenge with realtime performance.
VOLDOR: Visual Odometry from Log-logistic Dense Optical flow Residuals
Zhixiang Min, Yiding Yang, Enrique Dunn
CVPR 2020 (Oral)
[pdf] [appendix] [video] [code]
(code is released)
(The arxiv version fixed some editorial errors.)