About Me

I'm a Ph.D student in MCG Group, Department of Computer Science and Technology, Nanjing University, under the supervision of Prof. Limin Wang. I also spent wonderful years as an undergraduate in Department of Computer Science and Technology, Nanjing University and received my Bachelor of Science in June 2021.

My research interests include Computer Vision and Deep Learning, recently lie in Multiple-Object-Tracking (MOT). During undergraduate, I have studied about the impact of code changes with Jiaming Xu and Prof. Liang Wang et al.

News 🔥

• 2024.03.26: 🤗 Regarding Multiple Object Tracking as ID Prediction problems, a streamlined yet effective method MOTIP is proposed.
• 2023.10.25: 🎉 One paper is accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI).
• 2023.07.28: I release MeMOTR (ICCV 2023) paper on arXiv, a simple but effective long-term memory-augmented multi-object tracker, significantly improving the association performance. Code is already available.
• 2023.07.14: 🎉 One paper is accepted by ICCV 2023, the paper and code will be released as soon the paper and code are released.
• 2022.09.28: Fengyuan Shi and I release Dynamic MDETR, a sparse and light decoder for visual grounding, significantly reducing the computational cost.
• 2022.08.30: 🥳 I release a modern and user-friendly personal homepage template. Welcome to STAR⭐ and FORK🔀.

Publications 📝

• Multiple Object Tracking as ID Prediction
  Ruopeng Gao, Yijun Zhang, Limin Wang.
  Tech report, Mar. 2024.
  

• MeMOTR: Long-Term Memory-Augmented Transformer for Multi-Object Tracking
  Ruopeng Gao, Limin Wang.
  in IEEE International Conference on Computer Vision (ICCV), 2023.
  

• Dynamic MDETR: A Dynamic Multimodal Transformer Decoder for Visual Grounding
  Fengyuan Shi, Ruopeng Gao, Weilin Huang, Limin Wang.
  in IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI).
  

Academic Service 🪪

• Journal Review:
  IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
  IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)

• Conference Review:
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
  European Conference on Computer Vision (ECCV)

Projects 🕶️

• CV-Framework (Python, PyTorch)
  A visual deep learning training framework based on PyTorch, which is small but fully equipped. It can perform mainstream distributed training, logging, and so on. I will keep updating some necessary features as my research continues.

• rpg-homepage-template (vue, ts, scss)
  A personal homepage template (primarily for academic pages) based on vuepress-theme-hope, as you can see on this page. You can develop your own personal page quickly utilizing this template, and use markdown for maintenance.

• GRPTemplate (C++)
  Since the Data Structure course does not allow the use of containers in C++ Standard Library, I implemented a simple alternative library, reducing the duplicated code in homework.

• CG-Lab-Painter (C++, Qt)
  The lab of the Computer Graphic course, using C++ and Qt to implement a painter board software that include both command-line and graphical user interface (CLI and GUI).

Educations 🎓

• 2021.6 - Present, Ph.D, Department of Computer Science and Technology, Nanjing University, Nanjing.

  • 2021.6 - Present, Research in Computer Vision and Deep Learning, supervised by Prof. Limin Wang.

• 2017.8 - 2021.6, Undergraduate, Department of Computer Science and Technology, Nanjing University, Nanjing.

  • 2020.8 - 2021.6, Focus on Computer Vision and Deep Learning, mainly about RGB-D scene recognition, supervised by Prof. Limin Wang.

  • 2019.3 - 2021.5, Working on propagation of the effects after code commits, supervised by Prof. Liang Wang.

• 2014.9 - 2017.6, Guiyang No.1 High School, Guiyang.

Internships 🖥️

• 2019 Summer, Mini-apps developer at PCG, Tencent, Shenzhen.

Honors 🏅

• The second prize of Doctoral Scholarship of Nanjing University in 2023.
• PhD President Scholarship of Nanjing University, 2021.
• Well completed in National Training Program of Innovation for Undergraduates as the first host, 2020.
• The second prize of Renmin Scholarship of Nanjing University in 2019.

Contact 📫

• Email:
  • Gmail: ruopenggao@gmail.com (recommended)
  • Edu: ruopenggao@smail.nju.edu.cn

Friends 😃

Xuyang Cao