About

I currently work as an algorithm engineer at Meituan since Feb. 2020. I am broadly interested in solving real-world visual understanding problems with optimization/learning-based algorithms.

I obtained my Master's Degree (CS) in State Key Laboratory of Virtual Reality Technology and Systems, SCSE, Beihang University (BUAA), in Jan. 2020. Before that, I received Bachelor's degree (CS) from SCSE, Northeastern University (NEU), in Jul. 2017.

This is my [CV].

News

[2021-04-30] One paper on lane detection is accepted by IJCAI 2021.

[2021-03-06] One paper on task-driven SOD is accepted as oral paper by ICME 2021.

[2020-02-17] I join Meituan as an algorithm engineer.

[2019-12-10] I pass my Master Dissertation defense.

[2019-11-19] One paper on 360$^\circ$ SOD is accepted by J-STSP 2020.

[2019-07-22] One paper on boundary-aware SOD is accepted by ICCV 2019.

Research Interest

Technical Report [Google Scholar]

Salient Object Detection with Purificatory Mechanism and Structural Similarity Loss.

Jia Li, Jinming Su, Changqun Xia and Yonghong Tian.
Under review by TIP
[PDF]

Exploring Reciprocal Attention for Salient Object Detection by Cooperative Learning.

Changqun Xia, Jia Li, Jinming Su and Yonghong Tian.
[arXiv]

Learning a saliency evaluation metric using crowdsourced perceptual judgments.

Changqun Xia, Jia Li, Jinming Su and Ali Borji.
[arXiv]

Publications [Google Scholar]

Structure Guided Lane Detection.

Jinming Su, Chao Chen, Ke Zhang, Junfeng Luo, Xiaoming Wei and Xiaolin Wei.
International Joint Conference on Artificial Intelligence (IJCAI), 2021. [arXiv] [jiqizhixin]

Exploring Driving-aware Salient Object Detection via Knowledge Transfer.

Jinming Su, Changqun Xia and Jia Li.
IEEE International Conference on Multimedia and Expo (ICME), 2021. (oral) [arXiv]

Distortion-adaptive Salient Object Detection in 360$^\circ$ Omnidirectional Images.

Jia Li, Jinming Su, Changqun Xia and Yonghong Tian.
IEEE Journal of Selected Topics in Signal Processing (J-STSP), 14(1), pp.38-48, 2020. [PDF] [Project]

Selectivity or Invariance: Boundary-aware Salient Object Detection.

Jinming Su, Jia Li, Yu Zhang, Changqun Xia and Yonghong Tian.
IEEE International Conference on Computer Vision (ICCV), 2019. [PDF] [Project]

Patents [SooPAT]

Projects

I specialize in computer vision with deep/machine learning learning. In addition, I am interested in some engineering practices, especially some open source projects related to deep/machine learning. Moreover, I am also interested in basic computer algorithm, such as data structure, program optimization, etc.

Education

Beihang University (BUAA), Beijing, China

2017 - 2020
M.Sc. in Computer Science and Technology, ranked 9/303 (top 5%)
- State Key Laboratory of Virtual Reality Technology and Systems, SCSE
- Dissertation: 场景和任务引导的图像显著内容解析
- Advisor: Jia Li [CVTEAM]

Northeastern University (NEU), Shenyang, China

2013 - 2017
B.Eng. in Computer Science and Technology, ranked 10/258 (top 5%)
- Dissertation: 基于移动终端的室外场景语义分割方法与系统
- Recommended for admission to Beihang University without exams


Contact

Email: sujinming@meituan.com

Github: https://github.com/Jinming-Su

Zhihu: https://www.zhihu.com/people/sjming