← Search

Nurbiya Yadikar

3 accepted papers

2024

MMHSV: A Multimodal Handwritten Signature Verification Fusing Dynamic and Static Feature

ICASSP 2024accepted

In recent years, significant progress has been made in the field of handwritten signature verification through methods based on deep learning. However, due to the high intra-class variability and high inter-class similarity of signature samples, achieving high accuracy and security in handwritten si…

Cited by 0SourceScholar
2024

The Collaboration of 3D Convolutions and CRO-TSM in Lipreading

ICASSP 2024accepted

Lip reading refers to the recognition of speech solely based on the subtle movements of the lips without audio information. Extracting temporal information in lip reading has always been a challenge in this field. In this work, we propose an effective method for extracting temporal information. Spec…

Cited by 0SourceScholar
2021

How to Use Time Information Effectively? Combining with Time Shift Module for Lipreading

ICASSP 2021accepted

Lipreading refers to recognizing the speaker's speech content through the image sequence of lip movement without the speech signal. Currently, most models use a spatiotemporal (3D) convolutional layer combined with 2D CNN to extract spatial and temporal features from image sequences. However, compar…

Cited by 0SourceScholar