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LIYangggggg/README.md

Yang Li

Computer Vision Algorithm Engineer focused on OOD Detection, Failure Prediction, and reliable visual recognition systems.

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Research Focus

  • OOD Detection and Open-set Recognition
  • Failure Prediction and reliability assessment
  • Classification, Face Recognition, Re-ID, Detection, and Segmentation
  • Production-oriented training, evaluation, annotation, and deployment pipelines

Highlights

  • Algorithm Engineer at Hefei Intellindust Information Technology Co., Ltd.
  • B.E. / M.E. in Surveying and Mapping Engineering, Wuhan University
  • Team leader and champion of the Open-set Recognition track in ECCV 2024 Workshop OOD-CV Challenge
  • First-author work on classification reliability, OOD Detection, Failure Prediction, and automated 3D building reconstruction

Selected Work

  • From Misclassifications to Outliers: Joint Reliability Assessment in Classification · TPAMI under review · First Author
  • Zigzag-ViT: Enhancing Vision Transformer Reliability through Prompted Zigzag · Pattern Recognition under review · First Author
  • EdgeCrafter: A Series of Lightweight High-Performance Vision Models on Edge Devices · TMLR under review · Co-first Author, Third Listed
  • Automated 3D Building Reconstruction from a Single Satellite Image · Published in Geomatics Science and Technology · First Author

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  1. Intellindust-AI-Lab/SSB-OSR Intellindust-AI-Lab/SSB-OSR Public

    PyTorch Implementation of ECCV 2024 OOD-CV Workshop SSB Challenge (Open-Set Recognition Track) - 1st Place

    Python 29 5

  2. Intellindust-AI-Lab/SUREPlus Intellindust-AI-Lab/SUREPlus Public

    From Misclassification to Outliers: Joint Reliability Assessment in Classification

    Python 9