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Hi there πŸ‘‹

I am pursuing my Ph.D. degree (2023.04 - Present) in Shanghai Jiao Tong University, Shanghai, China. My research direction focuses on how to improve the performance of image and video anomaly detection.

  • πŸ’¬ Feel free to send me emails if you have interests.

Xincheng Yao's github stats

Xincheng Yao's Projects

awesome-pytorch-list icon awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

bgad icon bgad

Pytorch Implementation for CVPR2023 paper: Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Supervised Anomaly Detection

cifar-zoo icon cifar-zoo

PyTorch implementation of CNNs for CIFAR dataset (97.71% on cifar10)

fod icon fod

Pytorch Implementation for ICCV2023 paper: Focus the Discrepancy: Intra- and Inter-Correlation Learning for Image Anomaly Detection

imgaug icon imgaug

Image augmentation for machine learning experiments.

mnist_tutorial icon mnist_tutorial

A tutorial for MNIST handwritten digit classification using sklearn, PyTorch and Keras.

pmad icon pmad

Pytorch Implementation for AAAI2023 paper: One-for-All: Proposal Masked Cross-Class Anomaly Detection

sjtu-course icon sjtu-course

This is a repository for restoring my course-projects in sjtu EE courses.

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