Ailing Zeng 曾爱玲

Ailing Zeng 

Ph.D.
Department of Computer Science and Engineering
The Chinese University of Hong Kong

Researcher
International Digital Economy Academy (IDEA)

Google Scholar
Resume

Biography

I am a researcher of Computer Vision and Robotics at the International Digital Economy Academy (IDEA). Previously, I obtained my Ph.D. degree from the Department of Computer Science and Engineering, the Chinese University of Hong Kong, supervised by Prof. Qiang Xu. I was a visiting scholar in the Robotics Institute, Carnegie Mellon University.

My research targets to build multi-modal AI-human interaction in Metaverse via the scalable data-driven loop, especially for Large Motion Models to capture, understand, and generate the motion of humans, animals, and the world. Specifically,

1) Human-centric visual understanding and perception with large-scale data and general models, focusing on human pose estimation/reconstruction/animation, interactive annotation, and human neural rendering: SMPLer-X, OSX, DW-Pose, ED-Pose, SmoothNet, DeciWatch

2) Human-centric large-scale image/motion generation and editing: Motion-X, HuMMan, HumanSD, Human-Art

3) Interactive AI & Human-in-the-loop techniques: Uni-Pose, Click-Pose

4) Previously, time series analysis and forecasting: LTSF-Linear, SCINet

I'm looking for self-motivated interns at IDEA (Shenzhen). If you are interested in the above topics, please send me your resume by email.

News

  • [2024.01] Three papers are accepted to ICLR 2024!

  • [2023.12] We are hosting the CVPR 2024 Workshop on “Computer Vision with Humans in the Loop” (CVHL).

  • [2023.09] LTSF-Linear was selected as the Top-3 Influential Paper in AAAI 2023!

  • [2023.09] Four papers are accepted to NeurIPS 2023!

  • [2023.07] Four papers are accepted to ICCV 2023!

  • [2023.02] Three papers are accepted to CVPR 2023!

  • [2023.01] One paper is accepted to ICLR 2023.

  • [2022.11] One paper is accepted to AAAI 2023 Oral with three strong accept!

  • [2022.09] One paper is accepted to NeurIPS 2022!

  • [2022.07] Invited Talk at OpenMMlab about Human Motion Modeling from a Time Series Perspective. [Slides] [Video]

  • [2022.07] Three papers are accepted to ECCV 2022! (1 oral)

Publications

See full list at Google Scholar. (*equal contribution, #corresponding author)

Mentoring

    I will provide research and engineering guidance as much as possible based on the situation of each intern. Long-term goal-oriented research is welcome!
  • Kenkun Liu, CUHK(SZ)

  • Yinhuai Wang, PKU(SZ)

  • Linghao Chen, THU(SZ)

  • Shunlin Lu, CUHK(SZ),(2023.01-now), two first-author works along human motions.

  • Jing Lin, THU(SZ)->MPI,(2022.09-2023.11), two first-author and two co-author works along 3D digital human.

  • Xuan Ju, CUHK->Tencent,(2022.06-2023.10), three first-author works along generative models.

  • Jie Yang, CUHK(SZ)->BIGAI,(2022.05-2023.11), four first-author works along end-to-end keypoint detection.

Working Experience

  • Researcher at International Digital Economy Academy. (Apr. 2022 to now)
    Worked on human-centric computer vision.

  • Research intern at Sensetime Research. (Nov. 2020 to Apr. 2022)
    Worked on robust and efficient 2D/3D human pose estimation and reconstruction from videos.

  • Research intern at Microsoft Asia Research. (Dec. 2019 to Sep. 2020)
    Worked on improving the generalization ability of single-view 3D human pose estimation from either images or videos.

  • Research intern at Baidu Research. (June 2018 to Sep. 2018)
    Worked on 2D human pose estimation.

  • TMT investment intern at ASB Ventures. (March 2017 to Aug. 2017)
    Analyzed technological feasibility of start-up companies.

  • In recent years, I have been a reviewer of the following conferences and journals: CVPR, ICCV, ECCV, ICLR, ICML, NeurIPS, AAAI, TPAMI, IJCV, etc.

Honors & Awards

  • Full Postgraduate Studentship, CUHK (2017 - 2021)

  • Excellent League Member, Top 1% student of Xiamen University

  • National Scholarship (2015)