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.
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].
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.