chaoqinhuang
A Ph.D. candidate in SJTU and NUS, 2021-. My advisors are Prof. Ya Zhang and Prof. Xinchao Wang. My study focuses on computer vision and anomaly detection.
SJTU & NUSShanghai China
Pinned Repositories
anomaly_detection
This is the official implementation of "Anomaly Detection with Deep Perceptual Autoencoders".
AnomalyDetectionTransformations
A simple and effective method for single-class classification of images
awesome-anomaly-detection
A curated list of awesome anomaly detection resources
chaoqinhuang.github.io
mnist
CS420 Project: MNIST Handwritten-Digits Recognition
py-faster-rcnn-youtubebb
Faster R-CNN (Python implementation) augmented to train and test on the YouTube BoundingBox dataset
Pytorch-STN
Spatial Transformer Networks in Pytorch.
RCF-pytorch
Richer Convolutional Features for Edge Detection model in pytorch
awesome-anomaly-detection
A curated list of awesome anomaly detection resources
RegAD
[ECCV2022 Oral] Registration based Few-Shot Anomaly Detection
chaoqinhuang's Repositories
chaoqinhuang/anomaly_detection
This is the official implementation of "Anomaly Detection with Deep Perceptual Autoencoders".
chaoqinhuang/AnomalyDetectionTransformations
A simple and effective method for single-class classification of images
chaoqinhuang/awesome-anomaly-detection
A curated list of awesome anomaly detection resources
chaoqinhuang/chaoqinhuang.github.io
chaoqinhuang/mnist
CS420 Project: MNIST Handwritten-Digits Recognition
chaoqinhuang/py-faster-rcnn-youtubebb
Faster R-CNN (Python implementation) augmented to train and test on the YouTube BoundingBox dataset
chaoqinhuang/Pytorch-STN
Spatial Transformer Networks in Pytorch.
chaoqinhuang/RCF-pytorch
Richer Convolutional Features for Edge Detection model in pytorch