About Me

Zhongwei Qiu is currently working as an algorithm expert at Alibaba DAMO Academy, under the leadership of Dr. Le Lu. He is also a postdoctoral researcher at the College of Computer Science and Technology at Zhejiang University, collaborating with Prof. Fei Wu.

He received his Ph.D. degree from the University of Science and Technology Beijing (USTB), supervised by Prof. Dongmei Fu, co-supervised by Dr. Jianlong Fu from Microsoft Research Asia (MSRA). Before that, he received his B.S. degree in Automation from USTB in 2018. He was a visiting researcher at the University of Sydney (USYD) from July 2022 to July 2023, supervised by Dr. Chang Xu.

His research interest is primarily focused on computer vision, multimodal learning, and artificial intelligence, including Human-Centric Visual Perception and Generation(2D/3D Human Pose and Shape Estimation, Human Motion and Video Generation), Low-level Vision and Generation(Video Super-Resolution, NeRF, Diffusion Model), the applications of AI for Healthcare and Science, and so on.

We have $\color{red}{opening~positions}$ for $\color{red}{research~interns}$ (undergraduate, master, Ph.D., and gap year students are all welcomed). Please drop me an e-mail (qiuzhongwei.qzw@alibaba-inc.com) if you are interested.

🎓︎ Educations

• 2022.07 - 2023.08, Visiting Research Student, The University of Sydney, Sydney, Australia.
• 2018.06 - 2024.01, Ph.D. student in Control Science and Engineering, University of Science and Technology Beijing, Beijing China.
• 2014.09 - 2018.06, Bachelor of Engineering in Automation, University of Science and Technology Beijing, Beijing China.

🔥 News

• 2024.01:  🎉🎉 I received my Ph.D. degree from USTB and joined Alibaba DAMO Academy as an Algorithm Expert (算法专家).
• 2023.09:  🎉🎉 2 papers are accepted by NeurIPS.
• 2023.08:  🎉🎉 1 paper is accepted by TPAMI.
• 2023.08: I will be the reviewer of AAAI 2024 and ICLR 2024.
• 2023.03: The technology of FTVSR has been shipped to Microsoft Edge Browser.
• 2023.03: I will serve as the reviewer of NeurIPS 2023.
• 2023.03:  🎉🎉 1 paper is accepted by CVPR2023.
• 2023.03:  🎉🎉 1 paper is accepted by Pattern Recognition.
• 2022.12: I will be the reviewer of ICML 2023.
• 2022.11:  🎉🎉 1 paper is accepted by AAAI2023.
• 2022.10: I will be the reviewer of CVPR 2023.

📝 Publications

• HAP: Structure-Aware Masked Image Modeling for Human-Centric Perception

  Junkun Yuan, Xinyu Zhang, Hao Zhou, Jian Wang, Zhongwei Qiu, Zhiyin Shao, Shaofeng Zhang, Sifan Long, Kun Kuang, Kun Yao, Junyu Han, Errui Ding, Lanfen Lin, Fei Wu, Jingdong Wang.

  NeurIPS 2023 [paper]

• Stable Diffusion is Unstable

  Chengbin Du, Yanxi Li, Zhongwei Qiu, Chang Xu.

  NeurIPS 2023 [paper]

• PSVT: End-to-End Multi-person 3D Pose and Shape Estimation with Progressive Video Transformers

  Zhongwei Qiu, Yang Qiansheng, Jian Wang, Haocheng Feng, Junyu Han, Errui Ding, Chang Xu, Dongmei Fu, Jingdong Wang

  CVPR 2023 [paper]

• Weakly-supervised Pre-training for 3D Human Pose Estimation via Perspective Knowledge

  Zhongwei Qiu, Kai Qiu, Jianlong Fu, Dongmei Fu

  Pattern Recognition [paper]

• Learning Degradation-robust Spatiotemporal Frequency-Transformer for Video Super-Resolution

  Zhongwei Qiu, Huan Yang, Jianlong Fu, Daochang Liu, Chang Xu, Dongmei Fu

  TPAMI [paper] [code]

• DMIS: Dynamic Mesh-based Importance Sampling for Training Physics-Informed Neural Networks

  Zijiang Yang, Zhongwei Qiu, Dongmei Fu

  AAAI 2023 [paper] [code]

• Learning spatiotemporal frequency-transformer for compressed video super-resolution

  Zhongwei Qiu, Huan Yang, Jianlong Fu, Dongmei Fu

  ECCV 2022 [paper] [code]

• IVT: An End-to-End Instance-guided Video Transformer for 3D Pose Estimation

  Zhongwei Qiu, Qiansheng Yang, Jian Wang, Dongmei Fu

  ACM MM 2022 oral [paper]

• Dynamic Graph Reasoning for Multi-person 3D Pose Estimation

  Zhongwei Qiu, Qiansheng Yang, Jian Wang, Dongmei Fu

  ACM MM 2022 [paper]

• DGCN: Dynamic graph convolutional network for efficient multi-person pose estimation

  Zhongwei Qiu, Kai Qiu, Jianlong Fu, Dongmei Fu

  AAAI 2020 [paper]

• Learning recurrent structure-guided attention network for multi-person pose estimation

  Zhongwei Qiu, Kai Qiu, Jianlong Fu, Dongmei Fu

  ICME 2019 oral [paper]

👨‍💼 Work Experience

• 2021 - 2023, Research Intern, Baidu VIS, Beijing, China.
• 2018.07 - 2021.02, Research Intern, Microsoft Research Asia, Beijing, China.

🛠 Projects

• AI Coach for freestyle skiing, work with XiaoIce at MSRA
• Video Super-Resolution, work at MSRA

🎖 Honors and Awards

• 2023.11 Scholarship from Baosteel Education Foundation
• 2023.05 CVPR 2023 Student Scholarship, CVPR
• 2022.12 Scholarship from Zenith Steel Group
• 2022.12 Star of Academic, University of Science and Technology Beijing
• 2022.12 Excellent Graduate Student, University of Science and Technology Beijing
• 2022.10 ECCV 2022 Student Scholarship, ECCV
• 2022.10 ACM Multimedia 2022 Student Scholarship, ACM Multimedia
• 2021.12 Star of Tomorrow, Microsoft Research Asia
• 2021.02 Star of Tomorrow, Microsoft Research Asia
• 2019.12 Silver Medal (10/1300+) in RSNA Intracranial Hemorrhage Detection, RSNA-Kaggle
• 2018.09 The 2nd place of ChinaMM 2018 JD AI Fashion-Challenge, JD.com
• 2018.06 Excellent Graduation Thesis, University of Science and Technology Beijing
• 2018.06 Outstanding Graduate, University of Science and Technology Beijing

💬 Invited Talks

• 2022.10, “IVT: An End-to-End Instance-guided Video Transformer for 3D Pose Estimation” at ACM Multimedia 2022 (online), Lisbon, Portugal.
• 2019.07, “Learning recurrent structure-guided attention network for multi-person pose estimation” at ICME 2019, Shanghai, China.

📖 Academic Service

Conference Reviewer

• ICLR: 2024
• CVPR: 2024, 2023
• ICML: 2024，2023
• NeurIPS: 2023,2022
• ACM MM: 2024,2023,2022,2021
• AAAI: 2024,2023
• MICCAI: 2024
• ICASSP: 2023
• ICME: 2023,2022,2021,2020,2019

Journal Reviewer

• TVCG, TMM, TCSVT