Peishan Cong

Peishan Cong

Major in Computer Science, a PhD student at Visual & Data Intelligence Center(VDI Center), 4DVlab, ShanghaiTech University. I am interested in 3D point cloud perception, human-centric scene understanding, human motion generation.

I am currently a PhD student at the Visual & Data Intelligence Center (VDI Center), 4DVLab, ShanghaiTech University, under the supervision of Prof. Yuexin Ma. I am also fortunate to be a visiting student at MMLab, CUHK, mentored by Prof. Xiangyu Yue. My research focuses on 3D point cloud perception, human-centric scene understanding, and human motion generation.

I received my bachelor’s degree from ShanghaiTech University with the honor of outstanding graduate student.

🔥 News

  • 2024:  🎉🎉 Papers accpeted by ECCV 2024, ACMMM 2024!
  • 2023:  🎉🎉 Papers accpeted by TVCG 2023, AAAI 2023, and ICCV 2023!
  • 2022:  🎉🎉 Papers accpeted by CVPR 2022 and ICME 2022!
  • 2021:  🎉🎉 One paper accpeted by ICME 2021!

📝 Publications

ACMMM 2024
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Gait Recognition in Large-scale Free Environment via Single LiDAR. ACMMM,2024 (oral, Best paper candidate)

Xiao Han,Yiming Ren, Peishan Cong, Yujing Sun, Jingya Wang, Lan Xu, Yuexin Ma.

ECCV 2024
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WildRefer: 3D Object Localization in Large-scale Dynamic Scenes with Multi-modal Visual Data and Natural Language. ECCV,2024

Zhenxiang Lin, Xidong Peng, Peishan Cong, Ge Zheng, Yujing Sun, Yuenan Hou, Xinge Zhu, Sibei Yang, Yuexin Ma.

ICCV 2023
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Human-centric Scene Understanding in 3D Large-scale Scenarios. ICCV,2023

Yiteng Xu*,Peishan Cong *,Yichen Yao*, Runnan Chen, Yuenan Hou, Xinge Zhu, Xuming He, Jingyi Yu,Yuexin Ma.

AAAI 2023
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Weakly Supervised 3D Multi-person Pose Estimation for Large-scale Scenes based on Monocular Camera and Single LiDAR. AAAI,2023 (oral)

Peishan Cong *, Yiteng Xu*, Yiming Ren, Juze Zhang, Lan Xu, Jingya Wang, Jingyi Yu, Yuexin Ma.

TVCG 2023
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Lidar-aid inertial poser: Large-scale human motion capture by sparse inertial and lidar sensors. TVCG,2023

Yiming Ren*, Chengfeng Zhao*, Yannan He, Peishan Cong, Han Liang, Jingyi Yu, Lan Xu, Yuexin Ma.

ICME 2022
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Self-Supervised Point Cloud Completion on Real Traffic Scenes Via Scene-Concerned Bottom-Up Mechanism. ICME,2022

Yiming Ren, Peishan Cong, Xinge Zhu, Yuexin Ma.

CVPR 2022
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Stcrowd: A multimodal dataset for pedestrian perception in crowded scenes. CVPR,2022

Peishan Cong, Xinge Zhu, Feng Qiao, Yiming Ren, Xidong Peng, Yuenan Hou, Lan Xu, Ruigang Yang, Dinesh Manocha, Yuexin Ma. 

ICME 2021
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Input-output balanced framework for long-tailed lidar semantic segmentation ICME,2021

Peishan Cong, Xinge Zhu, Yuexin Ma.

🎖 Honors and Awards

  • 2022.10, 2023.10 Merit Student, ShanghaiTech University
  • 2021.06 Outstanding graduate Student , Shanghai
  • 2020.02 Outstanding Teacher Assistant Award, ShanghaiTech University
  • 2019.10 Third Prize Scholarship, ShanghaiTech University
  • 2019.9 Outstanding Student Award, ShanghaiTech University

📖 Educations

  • 2021.09 - present , PhD, ShanghaiTech University, Shanghai, China.
  • 2017.09 - 2021.07 , Bachelor, ShanghaiTech University, Shanghai, China.

💬 Teaching Assistants

  • ShanghaiTech University, 2019.10 - 2022.12
    • Computer Graphic (Spring 2022,Fall 2022).
    • Algorithms and Analysis (Fall 2021).
    • Optimization and Machine learning (Spring 2020).
    • Database and Data mining (Fall 2019).
  • Utech Academy, 2021.06
    • Machine learning

💻 Internships