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This is James Liao, former Outstanding Youth of the year at NTUST. I am currently working on a M.S. degree of computer science at National Tsing Hua University, supervised by Professor Shang-Hong Lai. If you feel like knowing me better, this is my linkedin account and instagram account.

🖥 My research topics:

  • Muti-object tracking (MOT)
  • Multi-camera MOT
  • Re-identification

😎 My WORKING EXPERIENCE:

  • AI engineer, MediaTek (RDSS)
  • Research Assistant, Acedemia sinica (CVML LAB)
  • AI engineer, TSMC (MTRDP)

🤙 My publications and awards:

  • ROBUST MULTI-OBJECT TRACKING WITH SPATIAL UNCERTAINTY (ICASSP2023 Oral)
  • AI Accelerators Certificate of Excellent Performance (issued by Dr. H. T. Kung, Harvard University)
  • AI CUP 2021 (won innovation award and excellent award)
  • Kaggle IoT Data Analytics : Traffic prediction (won second place)

廖品捷's Projects

shapematchinggan icon shapematchinggan

[ICCV 2019, Oral] Controllable Artistic Text Style Transfer via Shape-Matching GAN

stock-prediction icon stock-prediction

Stock price prediction with recurrent neural network. The data is from the Chinese stock.

swin-transformer icon swin-transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

yolo-digit-detector icon yolo-digit-detector

Implemented digit detector in natural scene using resnet50 and Yolo-v2. I used SVHN as the training set, and implemented it using tensorflow and keras.

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