Xiaoguang Li

About me

I am currently working at eBay as an applied researcher. My research focuses on computer vision, particularly for image restoration tasks such as image and video inpainting, shadow removal, and super-resolution, as well as object detection, image classification, and image retrieval.

Education

  • 2020 - 2024, Ph.D. in Computer Science, University of South Carolina, United States
  • 2020 - 2022, M.S. in Computer Science, University of South Carolina, United States
  • 2009 - 2013, B.S. in Computer Science, Zhengzhou University, China

Academic Services

  • Program Committee for Association for the Advancement of Artificial Intelligence (AAAI)
  • Reviewer of Conference on Computer Vision and Pattern Recognition (CVPR)
  • Reviewer of International Conference on Computer Vision (ICCV)
  • Reviewer of European Conference on Computer Vision (ECCV)
  • Reviewer of Association for the Advancement of Artificial Intelligence (AAAI)
  • Reviewer of ACM International Conference on Multimedia (ACM MM)
  • Reviewer of Asian Conference on Computer Vision (ACCV)
  • Reviewer of Conference on Artificial Intelligence (CAI)
  • Reviewer of Conference on Multimedia Expo (CME)
  • Reviewer of International Journal of Computer Vision (IJCV)
  • Reviewer of Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
  • Reviewer of Transactions on Circuits and Systems for Video Technology (TCSVT)
  • Reviewer of Transactions on Neural Networks and Learning Systems (TNNLS)
  • Reviewer of Transactions on Intelligent Vehicles (TIV)
  • Reviewer of Pattern Recognition Letters (PRL)
  • Reviewer of Transactions on Multimedia (TMM)

Publications

* co-first author and contribute equally, † corresponding author
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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 International Conference on Multimedia (ACM MM), 2024
  • paper      code
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  • SAIR: Learning Semantic-aware Implicit Representation
  • Canyu Zhang*, Xiaoguang Li*, Qing Guo, Song Wang
  • European Conference on Computer Vision (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
  • Association for the Advancement of Artificial Intelligence (AAAI), 2024
  • paper      code
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  • Leveraging Inpainting for Single-Image Shadow Removal
  • Xiaoguang Li, Qing Guo, Rabab Abdelfattah, Di Lin, Wei Feng, Ivor Tsang, Song Wang
  • International Conference on Computer Vision (ICCV), 2023
  • paper      code
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  • CLIP-Driven Unsupervised Learning for Multi-Label Image Classification
  • Rabab Abdelfattah, Qing Guo, Xiaoguang Li, Xiaofeng Wang, Song Wang
  • International Conference on Computer Vision (ICCV), 2023
  • paper      code
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  • MISF: Multi-level Interactive Siamese Filtering for High-Fidelity Image Inpainting
  • Xiaoguang Li, Qing Guo, Di Lin, Ping Li, Wei Feng, Song Wang
  • Conference on Computer Vision and Pattern Recognition (CVPR), 2022
  • paper      code
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  • JPGNet: Joint Predictive Filtering and Generative Network for Image Inpainting
  • Qing Guo*, Xiaoguang Li*, Felix Juefei-Xu, Hongkai Yu, Yang Liu, and Song Wang
  • ACM International Conference on Multimedia (ACM MM), 2021
  • paper      code
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  • Deep Learning for Object Detection in Materials-Science Images
  • Lan Fu, Hongkai Yu, Xiaoguang Li, Craig P. Przybyla, and Song Wang
  • IEEE Signal Processing Magazine(SPM), 2021
  • paper      code