Towards Interpretable Defense Against Adversarial Attacks via Causal Inference, FedIris: Towards More Accurate and Privacy-preserving Iris Recognition via Federated Template Communication
Towards More Discriminative and Robust Iris Recognition by Learning Uncertain Factors, Multitask deep active contour-based iris segmentation for off-angle iris images
In this challenge, we aim to benchmark the performance of iris segmentation on NIR iris images from Asian and African people captured in non-cooperative environments.
Zhang published paper, All-in-Focus Iris Camera With a Great Capture Volume, wins the PC chairs choice best paper award runner-Up at the 2020 International Joint Conference on Biometrics (IJCB 2020).
Smart Iris Recognition (SIR) group is affiliated to Center for Research on Intelligent Perception and Computing (CRIPAC), Institute of Automation, Chinese Academy of Sciences (CASIA), led by Prof. Tieniu Tan and Prof.