27 citations · 70 across the 9 of their papers we have counts for
9 papers
Edge Device Deployment of Multi-Tasking Network for Self-Driving Operations
Shokhrukh Miraliev, Shakhboz Abdigapporov, Jumabek Alikhanov +2
A safe and robust autonomous driving system relies on accurate perception of the environment for application-oriented scenarios. This paper proposes deployment of the three most cr…
FV-UPatches: Enhancing Universality in Finger Vein Recognition
Ziyan Chen, Jiazhen Liu, Changwen Cao +2
Many deep learning-based models have been introduced in finger vein recognition in recent years. These solutions, however, suffer from data dependency and are difficult to achieve…
Mixture separability loss in a deep convolutional network for image classification
Trung Dung Do, Cheng-Bin Jin, Hakil Kim +1
In machine learning, the cost function is crucial because it measures how good or bad a system is. In image classification, well-known networks only consider modifying the network…
Real-time and robust multiple-view gender classification using gait features in video surveillance
Trung Dung Do, Hakil Kim, Van Huan Nguyen
It is common to view people in real applications walking in arbitrary directions, holding items, or wearing heavy coats. These factors are challenges in gait-based application meth…
Blind Deconvolution Method using Omnidirectional Gabor Filter-based Edge Information
Trung Dung Do, Xuenan Cui, Thi Hai Binh Nguyen +2
In the previous blind deconvolution methods, de-blurred images can be obtained by using the edge or pixel information. However, the existing edge-based methods did not take advanta…
End-to-End Fingerprints Liveness Detection using Convolutional Networks with Gram module
Eunsoo Park, Xuenan Cui, Weonjin Kim +1
This paper proposes an end-to-end CNN(Convolutional Neural Networks) model that uses gram modules with parameters that are approximately 1.2MB in size to detect fake fingerprints.…