Kaiyang Liao

According to our database, Kaiyang Liao authored at least 31 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Multi-scale saliency features fusion model for person re-identification.

Kaiyang Liao, Keer Wang, Yuanlin Zheng, Guangfeng Lin, Congjun Cao

Multim. Tools Appl., July, 2024

Layer similarity guiding few-shot Chinese style transfer.

Yumei Li, Guangfeng Lin, Menglan He, Dan Yuan, Kaiyang Liao

Vis. Comput., April, 2024

Attention-based multi-scale recursive residual network for low-light image enhancement.

Kaidi Wang, Yuanlin Zheng, Kaiyang Liao, Haiwen Liu, Bangyong Sun

Signal Image Video Process., April, 2024

Incremental image retrieval method based on feature perception and deep hashing.

Kaiyang Liao, Jie Lin, Yuanlin Zheng, Keer Wang, Wen Feng

Int. J. Multim. Inf. Retr., March, 2024

Small target detection algorithm for printing defects detection based on context structure perception and multi-scale feature fusion.

Wenqian Chen, Yuanlin Zheng, Kaiyang Liao, Haiwen Liu, Yalin Miao, Bangyong Sun

Signal Image Video Process., February, 2024

Feature channel interaction long-tailed image classification model based on dual attention.

Kaiyang Liao, Keer Wang, Yuanlin Zheng, Guangfeng Lin, Congjun Cao

Signal Image Video Process., 2024

Deep graph layer information mining convolutional network.

Guangfeng Lin, Wenchao Wei, Xiaobing Kang, Kaiyang Liao, Erhu Zhang

Pattern Recognit., 2024

2023

No-reference image quality assessment of multi-level residual feature augmentation.

Chunxia Liu, Yuanlin Zheng, Kaiyang Liao, Bing Chen, Kaidi Wang, Chongjun Zhong, Bo Xie, Yalin Miao

Signal Image Video Process., June, 2023

Coordinate feature fusion networks for fine-grained image classification.

Kaiyang Liao, Gang Huang, Yuanlin Zheng, Guangfeng Lin, Congjun Cao

Signal Image Video Process., April, 2023

Approximate object location deep visual representations for image retrieval.

Kaiyang Liao, Gang Huang, Yuanlin Zheng, Guangfeng Lin, Congjun Cao

Displays, April, 2023

2022

Pedestrian reidentification based on multiscale convolution feature fusion.

Kaiyang Liao, Gang Huang, Yuanlin Zheng, Guangfeng Lin, Congjun Cao

Signal Image Video Process., 2022

Image Retrieval Based on the Weighted and Regional Integration of CNN Features.

Kaiyang Liao, Bing Fan, Yuanlin Zheng, Guangfeng Lin, Congjun Cao

KSII Trans. Internet Inf. Syst., 2022

2021

Deep graph learning for semi-supervised classification.

Guangfeng Lin, Xiaobing Kang, Kaiyang Liao, Fan Zhao, Yajun Chen

Pattern Recognit., 2021

A deep multi-feature distance metric learning method for pedestrian re-identification.

Xuan Deng, Kaiyang Liao, Yuanlin Zheng, Guangfeng Lin, Hao Lei

Multim. Tools Appl., 2021

2020

Image Quality Assessment by Combining Masking Texture and Perceptual Color Difference Model.

Zhisen Tang, Yuanlin Zheng, Wei Wang, Kaiyang Liao

KSII Trans. Internet Inf. Syst., 2020

Image quality assessment via spatial-transformed domains multi-feature fusion.

Miaomiao Yu, Yuanlin Zheng, Kaiyang Liao, Zhisen Tang

IET Image Process., 2020

Bow image retrieval method based on SSD target detection.

Kaiyang Liao, Bing Fan, Yuanlin Zheng, Guangfeng Lin, Congjun Cao

IET Image Process., 2020

High-order structure preserving graph neural network for few-shot learning.

Guangfeng Lin, Ying Yang, Yindi Fan, Xiaobing Kang, Kaiyang Liao, Fan Zhao

CoRR, 2020

2019

IR Feature Embedded BOF Indexing Method for Near-Duplicate Video Retrieval.

Kaiyang Liao, Hao Lei, Yuanlin Zheng, Guangfeng Lin, Congjun Cao, Mingzhu Zhang, Jie Ding

IEEE Trans. Circuits Syst. Video Technol., 2019

Full-Reference Image Quality Assessment by Combining Features in Spatial and Frequency Domains.

Zhisen Tang, Yuanlin Zheng, Ke Gu, Kaiyang Liao, Wei Wang, Miaomiao Yu

IEEE Trans. Broadcast., 2019

Structure fusion based on graph convolutional networks for semi-supervised classification.

Guangfeng Lin, Jing Wang, Kaiyang Liao, Fan Zhao, Wanjun Chen

CoRR, 2019

Transfer Feature Generating Networks With Semantic Classes Structure for Zero-Shot Learning.

Guangfeng Lin, Wanjun Chen, Kaiyang Liao, XiaoBing Kang, Caixia Fan

IEEE Access, 2019

2017

Dynamic graph fusion label propagation for semi-supervised multi-modality classification.

Guangfeng Lin, Kaiyang Liao, Bangyong Sun, Yajun Chen, Fan Zhao

Pattern Recognit., 2017

Parallel N-Path Quantification Hierarchical K-Means Clustering Algorithm for Video Retrieval.

Kaiyang Liao, Fan Zhao, Yuanlin Zheng, Congjun Cao, Mingzhu Zhang

Int. J. Pattern Recognit. Artif. Intell., 2017

2015

An efficient content based video copy detection using the sample based hierarchical adaptive k-means clustering.

Kaiyang Liao, Guizhong Liu

J. Intell. Inf. Syst., 2015

2014

Fast Encoder Design for Multi-view Video.

Fan Zhao, Kaiyang Liao, Erhu Zhang, Fangying Qu

KSII Trans. Internet Inf. Syst., 2014

Parallel Implementation Strategy for Content Based Video Copy Detection Using a Multi-core Processor.

Kaiyang Liao, Fan Zhao, Mingzhu Zhang

KSII Trans. Internet Inf. Syst., 2014

2013

An improvement to the SIFT descriptor for image representation and matching.

Kaiyang Liao, Guizhong Liu, Youshi Hui

Pattern Recognit. Lett., 2013

A sample-based hierarchical adaptive K-means clustering method for large-scale video retrieval.

Kaiyang Liao, Guizhong Liu, Li Xiao, Chaoteng Liu

Knowl. Based Syst., 2013

Multi-core based Parallel N-path labeling HKM clustering algorithm.

Kaiyang Liao, Guizhong Liu, Zhen Qiao, Chaoteng Liu

Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, 2013

2010

An improved local feature descriptor based on SIFT.

Kaiyang Liao, Guizhong Liu

Proceedings of the Second International Conference on Internet Multimedia Computing and Service, 2010