Email: sujinming@meituan.com
Github: https://github.com/Jinming-Su
Jinming Su(苏金明)
News
We are recruiting excellent self-motivated intern students. This is JD. Please contact me if you wish.
[2021-10-14] Code for IJCAI'21 SGNet are released [Code].
[2021-10-14] Code for T-IP'21 PurNet are released [Code].
[2021-10-13] Dataset and code for ICME'21 task-driven SOD (TSOD) are released [Project].
[2021-07-04] One paper on foreground object segmentation is accepted by T-IP 2021.
[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.
About
I currently work as an algorithm engineer at Meituan.
I am broadly interested in solving real-world visual understanding problems with optimization/learning-based algorithms. Recently, I focus on developing learning and optimization frameworks for scene understanding and 3D Reconstruction.
I obtained my Master's degree (CS) in State Key Laboratory of Virtual Reality Technology and Systems, SCSE, Beihang University (BUAA), adviced by Prof. Jia Li [CVTEAM], in Jan. 2020. From 2018 to 2019, I worked as research assistant at Peng Cheng Laboratory with Dr. Changqun Xia. Before that, I received Bachelor's degree (CS) from SCSE, Northeastern University (NEU), in Jul. 2017.
This is my [CV].
Research Interest
- Street Scene Understanding: panoptic/instance/semantic segmentation, video segmentation, multiple object tracking
- Autonomous Driving: lane detection, depth estimation, 3D reconstruction
Visual Saliency: salient object detection (SOD)
Technical Report [Google Scholar]
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]
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.
- A project for source code analysis of Caffe, which is helpful to understand the pipeline of Caffe running. [Github]
- A public learning_note on computer vision is under construction, including mathematics, machine learning and deep learning. This note will solve many difficult derivation problems.[Github]
- A web application on salient object detection (SOD) of 360$^\circ$ omnidirectional images will be publicly available. In this project, everyone can upload omnidirectional images, browse images by drgging as well as prediction of SOD of these images on any platform with a browser.[Release later]
- An old blog for anything related to computer science can be found, which has 300+ posters written from 2014 to 2018. I will reorganize this blog if I have time later.[Csdn blog]
Selected Honors
- Intelligent Traffic Star (39 of 2000+), Meituan, 2021
- Outstanding Master Graduate, Beijing, 2020
- Outstanding Master Graduate Thesis for 《场景和任务引导的图像显著内容解析》, Beihang University, 2020
- National Scholarship, 2019
- Huawei Scholarship, 2019
- Outstanding Undergraduate Thesis for 《基于移动终端的室外场景语义分割方法与系统》, Northeastern University, 2017
- National Encouragement Scholarship, 2014-2016
Services and Activities
- Reviewer for the conference: CVPR, ICCV, MIPR (PC Member)
- Reviewer for the journal: T-PAMI
- Valse 2021 Poster for Structure Guided Lane Detection [Poster]