As the social impact of visual recognition has been under scrutiny, seve...
A large number of deep neural network based techniques have been develop...
As equality issues in the use of face recognition have garnered a lot of...
Unlike conventional zero-shot classification, zero-shot semantic segment...
Advances in deep learning, combined with availability of large datasets,...
Deep neural networks are powerful, massively parameterized machine learn...
In order to combat the COVID-19 pandemic, society can benefit from vario...
Fingerprint presentation attack detection (FPAD) is becoming an increasi...
Finding a template in a search image is one of the core problems many
co...
The image-to-GPS verification problem asks whether a given image is take...