Ailing Zeng 曾爱玲

Fourth-year Ph.D. Student, Department of Computer Science and Engineering, The Chinese University of Hong Kong Google Scholar Resume

Biography

I am currently a final-year Ph.D. student in the department of computer science and engineering, the Chinese University of Hong Kong. I am supervised by Prof. Qiang Xu. I have also spent wonderful time at Baidu, Microsoft Asia, and Sensetime as a research intern. Before that I got my bachelor’s degrees (Top 1% graduates) of Electronic Engineering and Finance mathematics in Xiamen University.

My research interests include: human-centric visual understanding by deep learning, like 3d human pose estimation/prediction, action recognition and motion analysis.

I am looking for a full-time job or postdoctoral position. Please feel free to contact me through the email.

News

• [2022.01] T-WaveNet has been accepted to ICLR 2022!

• [2021.07] Two papers accepted to ICCV 2021! (1 oral and 1 poster)

• [2021.05] One paper accepted to IJCAI 2021!

• [2020.07] One paper accepted to ECCV 2020!

Publications

• T-WaveNet: Tree-Structured Wavelet Neural Network for Sensor-Based Time Series Analysis
  Minhao Liu, Ailing Zeng, Qiuxia Lai, Qiang Xu
  2022 Tenth International Conference on Learning Representations (ICLR'22)

• SmoothNet: A Plug-and-Play Network for Refining Human Poses in Videos [Website]

  Ailing Zeng, Lei Yang, Xuan Ju, Jiefeng Li, Jianyi Wang, Qiang Xu
  arXiv preprint, 2021

• Learning Skeletal Graph Neural Networks for Hard 3D Pose Estimation [Code]

  Ailing Zeng, Xiao Sun, Lei Yang, Nanxuan Zhao, Minhao Liu, Qiang Xu
  2021 IEEE/CVF International Conference on Computer Vision (ICCV’21)

• Human Pose Regression with Residual Log-likelihood Estimation [Code]

  Jiefeng Li, Siyuan Bian, Ailing Zeng, Can Wang, Bo Pang, Wentao Liu and Cewu Lu
  (Oral) 2021 IEEE/CVF International Conference on Computer Vision (ICCV’21)

• Hop-Aware Dimension Optimization for Graph Neural Networks
  Ailing Zeng, Minhao Liu, Zhiwei Liu, Ruiyuan Gao, Qiang Xu
  arXiv preprint, 2021

• SRNet: Improving Generalization in 3D Human Pose Estimation with a Split-and-Recombine Approach [Code]

  Ailing Zeng, Xiao Sun, Fuyang Huang, Minhao Liu, Qiang Xu, Stephen Lin
  2020 European Conference on Computer Vision (ECCV’20)

• Skimming and Scanning for Untrimmed Video Action Recognition
  Yunyan Hong*, Ailing Zeng*, Min Li, Cewu Lu, Li Jiang, Qiang Xu
  2021 The International Congress on Image and Signal Processing, BioMedical Engineering and Informatics

• Time Series is a Special Sequence: Forecasting with Sample Convolution and Interaction [Code]

  Minhao Liu, Ailing Zeng, Qiuxia Lai, Qiang Xu
  arXiv preprint, 2021

• Information Bottleneck Approach to Spatial Attention Learning
  Qiuxia Lai, Yu Li, Ailing Zeng, Minhao Liu, Qiang Xu, Hanqiu Sun
  2021 The 30th International Joint Conference on Artificial Intelligence (IJCAI’21)

• DeepFuse: An IMU-Aware Network for Real-Time 3D Human Pose Estimation from Multi-View Image
  Fuyang Huang, Ailing Zeng, Minhao Liu, Qiang Xu
  2020 IEEE Winter Conference on Applications of Computer Vision (WACV’20)

• Differentiable Kernel Evolution
  Yu Liu, Jihao Liu, Ailing Zeng, Xiaogang Wang
  2019 IEEE/CVF International Conference on Computer Vision (ICCV’19)

• Structure-Aware 3D Hourglass Network for Hand Pose Estimation from Single Depth Image
  Fuyang Huang, Ailing Zeng, Minhao Liu, Jing Qin, Qiang Xu
  2018 The British Machine Vision Conference (BMVC’18)

Working Experience

• Research intern at Sensetime Research, X-lab. (2021)
  Worked on robust 3D human pose estimation&reconstruction from videos.

• Research intern at Microsoft Asia Research, Visual Computing Group. (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.

Honors & Awards

• Full Postgraduate Studentship, CUHK (2017 - 2021)

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

• National Scholarship (2015)