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20172022
most citedReal-Time Action Detection in Video Surveillance using Sub-Action Descriptor with Multi-CNN

27 citations · 33 across the 5 of their papers we have counts for

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Showing cs.CVShow all

7 papers · 1 filter

cs.CV20225 cited

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…

cs.CV2019

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…

cs.CV20191 cited

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…

cs.CV2019

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…

cs.CV2018

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.…

cs.CV2018

Patch-based Fake Fingerprint Detection Using a Fully Convolutional Neural Network with a Small Number of Parameters and an Optimal Threshold

Eunsoo Park, Xuenan Cui, Weonjin Kim +2

Fingerprint authentication is widely used in biometrics due to its simple process, but it is vulnerable to fake fingerprints. This study proposes a patch-based fake fingerprint det…