Pingping Cai

About me

I am currently pursuing a Ph.D. degree in computer science under the supervision of Dr. Song Wang from the Department of Computer Science & Engineering, University of South Carolina (UofSC). Before joining UofSC, I worked as an image search algorithm developer at Baidu, Inc. for 1.5 years. I received my master's degree in software engineering from Huazhong University of Science and Technology, China, and my undergraduate degree in applied physics from Nantong University, China. My research interest includes computer vision, deep learning, image processing, and point cloud processing.

Education

  • 2021 - 2024, Ph.D. in Computer Science, University of South Carolina
  • 2015 - 2018, M.S. in Software Engineering, Huazhong University of Science and Technology
  • 2011 - 2015, B.S. in Applied Physics, Nantong University

Experience

  • Summer 2024, intern at Apple Inc.
  • 2022 - 2024, Algorithm and QT Application Developer for Moving Image Reserach Collections at University of South Caroina. official_project_website

Publications

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  • Crossmodal Few-shot 3D Point Cloud Semantic Segmentation via View Synthesis
  • Ziyu Zhao, Pingping Cai, Canyu Zhang, Xiaoguang Li, Song Wang
  • ACM MM, 2024
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  • EINet: Point Cloud Completion via Extrapolation and Interpolation
  • Pingping Cai, Canyu Zhang, Lingjia Shi, Lili Wang, Nastrin Imanpour, Song Wang
  • ECCV, 2024
  • paper      code
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  • Orthogonal Dictionary Guided Shape Completion Network for Point Cloud
  • Pingping Cai, Deja Scott, Xiaoguang Li, Song Wang
  • AAAI, 2024
  • paper      code
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  • Adversarially Regularized Low-Light Image Enhancement
  • William Wang, Lisa Liu, Pingping Cai (advisor)
  • International Conference on Multimedia Modeling (MMM), 2024
  • paper      code
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  • Point Cloud Classification via Learnable Memory Bank
  • Lisa Liu, William Wang, Pingping Cai (advisor)
  • International Conference on Multimedia Modeling (MMM), 2024
  • paper      code
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  • Parametric Surface Constrained Upsampler Network for Point Cloud
  • Pingping Cai, Zhenyao Wu, Xinyi Wu, Song Wang
  • AAAI, 2023
  • paper      code
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  • MilliPCD: Beyond Traditional Vision Indoor Point Cloud Generation via Handheld Millimeter-Wave Devices
  • Pingping Cai, Sanjib Sur
  • IMWUT(UbiComp), 2023
  • paper      code
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  • DeepPCD: Enabling AutoCompletion of Indoor Point Clouds with Deep Learning
  • Pingping Cai, Sanjib Sur
  • IMWUT(UbiComp), 2022
  • paper    project_website