
Yiming Xie 谢一鸣
xie.yim@northeastern.edu
ymxyimingxie@gmail.com
Ph.D. student,
Northeastern University
Boston, MA, U.S.
Résumé ∙
Google Scholar
GitHub ∙
Twitter
Latest News
- [Mar 2, 2022] one paper accepted to CVPR'22
- [Jul 22, 2021] one paper accepted to ICCV'21
- [Apr 29, 2021] one paper accepted to TPAMI'21
- [Feb 29, 2021] one paper accepted to CVPR'21 (oral)
About Me
I am currently a first-year Ph.D. student at Khoury College of Computer Sciences, Northeastern University supervised by Prof. Huaizu Jiang.
I previously worked as a research assistant in State Key Lab of CAD & CG, Zhejiang University
supervised by Prof. Xiaowei Zhou.
Before that, I was a research intern at 3D&AR Group of SenseTime supervised by Jiaming Sun.
I received my Bachelor's degree in 2019 from Zhejiang University(ZJU).
Publications
PlanarRecon: Real-time 3D Plane Detection and Reconstruction from Posed Monocular Videos
Yiming Xie, Matheus Gadelha, Fengting Yang, Xiaowei Zhou, Huaizu Jiang.
Computer Vision and Pattern Recognition (CVPR), 2022.
[PDF][Code][Website]
You Don’t Only Look Once: Constructing Spatial-Temporal Memory for Integrated 3D Object Detection and Tracking
Yiming Xie*, Jiaming Sun*, Siyu Zhang, Linghao Chen, Guofeng Zhang, Hujun Bao, Xiaowei Zhou. (* equal contribution)
International Conference on Computer Vision (ICCV), 2021.
[PDF][Code][Website]

Shape Prior Guided Instance Disparity Estimation for 3D Object Detection
Linghao Chen*, Jiaming Sun*, Yiming Xie, Siyu Zhang, Qing Shuai, Qinhong Jiang, Guofeng Zhang, Hujun Bao, Xiaowei Zhou. (* equal contribution)
Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021.
[PDF][Code]

Teaching Assistant
- [Spring 2022] CS 7150: Deep Learning
Projects
3D Scene Semantic Modeling

Deep Scene Flow Estimation with Iterative Soft-argmin and Edge-aware Regression
Proposed an edge-aware policy to improve the over-smoothing problem and utilized contrastive loss to learn a more
discriminative descriptor.
Proposed an iterative soft argmin to cope with the multi-modal distributions of cost volume.