Junjie Wang (王俊杰)

me_middle_pic.jpg

Shenzhen, China

dreamboy.gns@sjtu.edu.cn

I am a machine learning engineer in Tencent@IEG. I received my Master’s degree in Electronic Engineering from Shanghai Jiao Tong University(SJTU) in 2024. Before that, I received my B.S. in Computer Science and Technology from SJTU.

When I was a student, I worked on research in 3D human pose estimation, 3D human mesh recovery, object animating and structured illuminational microscopy, under the supervision of Dr. Zhenbo Yu, Prof. Bing Bing Ni, Prof. Xiaoyan Wu. I also participated in virtual avatar projects in MetaCube Lab in SJTU. After graduation (up to now), I have been working on the application of latest machine learning techniques in game industries.

I have broad interests in games and 3D vision tasks (e.g. 3D Generative Models, Motion Capture, Differentible Rendering). I am a beginner but keep learning :).

In my life, I am a metaphysics lover. I love reading and photography.

News

Dec 30, 2024 One paper accepted by TSCVT!
Mar 31, 2024 Got my master degree, joined Tencent!
Nov 11, 2022 Awarded a National Gold Medal in “China College Students’ Internet+ Competition”!
Jun 15, 2022 Two papers accepted by ACMMM22!
Sep 15, 2021 Two papers accepted by ICCV2021!
Jun 30, 2021 Got my bachelor degree!
Jul 20, 2020 Joined Deptrum as an intern, working on face algorithms!

Selected Publications

  1. uvhpe.gif
    Towards alleviating the modeling ambiguity of unsupervised monocular 3d human pose estimation
    Zhenbo Yu, Bingbing Ni, Jingwei Xu, Junjie Wang, and 2 more authors
    In Proceedings of the IEEE/CVF International Conference on Computer Vision, 2021
  2. skeleton2mesh.gif
    Skeleton2mesh: Kinematics prior injected unsupervised human mesh recovery
    Zhenbo Yu*Junjie Wang*, Jingwei Xu, Bingbing Ni, and 3 more authors
    In Proceedings of the IEEE/CVF international conference on computer vision, 2021
  3. ocrpose2.png
    Ocr-pose: Occlusion-aware contrastive representation for unsupervised 3d human pose estimation
    Junjie Wang, Zhenbo Yu, Zhengyan Tong, Hang Wang, and 3 more authors
    In Proceedings of the 30th ACM International Conference on Multimedia, 2022
  4. dl_in_si.png
    Applications of deep learning in computational imaging with structured illumination
    Junjie Wang, Xinliang Zhai, Xiaoyan Wu, Jianhong Shi, and 1 more author
    In Sixth Conference on Frontiers in Optical Imaging and Technology: Imaging Detection and Target Recognition, 2024