Type: User
Company: CRIPAC, NLPR, CASIA
Bio: Smart Iris Recognition (SIR) group concentrates on cutting-edge research of ocular biometrics, wherein the main focus is the whole pipeline of iris recognition.
Location: Beijing
Blog: http://www.cripacsir.cn/
cripac-sir's Projects
Iris recognition, Biometrics, PyTorch
An recognition oriented deep learning framework for biometric sample quality assessment
Official Dynamic Graph Representation PyTorch implement for iris/face recognition
The sources codes including training, test and some metric calculating toolkit for the paper titled "High-fidelity View Synthesis for Light Field Imaging with Extended Pseudo 4DCNN"
[TIFS 2020]Towards Complete and Accurate Iris Segmentation Using Deep Multi-Task Attention Network for Non-Cooperative Iris Recognition
Test codes of LFNet: A Novel Bidirectional Recurrent Convolutional Neural Network for Light-field Image Super-resolution
End-to-end View Synthesis for Light Field Imaging with Pseudo 4DCNN[C] European Conference on Computer Vision (ECCV) 2018