Jinting Shi

According to our database, Jinting Shi authored at least 18 papers between 2016 and 2023.

Collaborative distances:

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

2023

A multiple gated boosting network for multi-organ medical image segmentation.

Feiniu Yuan, Zhaoda Tang, Chunmei Wang, Qinghua Huang, Jinting Shi

IET Image Process., 2023

2022

Cubic-cross convolutional attention and count prior embedding for smoke segmentation.

Feiniu Yuan, Zeshu Dong, Lin Zhang, Xue Xia, Jinting Shi

Pattern Recognit., 2022

An anisotropic non-local attention network for image segmentation.

Feiniu Yuan, Yaowen Zhu, Kang Li, Zhijun Fang, Jinting Shi

Mach. Vis. Appl., 2022

Fully extracting feature correlation between and within stages for semantic segmentation.

Feiniu Yuan, Kang Li, Chunmei Wang, Jinting Shi, Yaowen Zhu

Digit. Signal Process., 2022

2020

Encoding features from multi-layer Gabor filtering for visual smoke recognition.

Feiniu Yuan, Gang Li, Xue Xia, Jinting Shi, Lin Zhang

Pattern Anal. Appl., 2020

Image dehazing based on a transmission fusion strategy by automatic image matting.

Feiniu Yuan, Yu Zhou, Xue Xia, Jinting Shi, Yuming Fang, Xueming Qian

Comput. Vis. Image Underst., 2020

2019

Convolutional neural networks based on multi-scale additive merging layers for visual smoke recognition.

Feiniu Yuan, Lin Zhang, Boyang Wan, Xue Xia, Jinting Shi

Mach. Vis. Appl., 2019

Dual-Encoded Features from Both Spatial and Curvelet Domains for Image Smoke Recognition.

Feiniu Yuan, Tiantian Tang, Xue Xia, Jinting Shi, Shuying Li

KSII Trans. Internet Inf. Syst., 2019

Holistic learning-based high-order feature descriptor for smoke recognition.

Feiniu Yuan, Xue Xia, Jinting Shi

Int. J. Wavelets Multiresolution Inf. Process., 2019

Fusing texture, edge and line features for smoke recognition.

Feiniu Yuan, Gang Li, Xue Xia, Bangjun Lei, Jinting Shi

IET Image Process., 2019

Co-occurrence matching of local binary patterns for improving visual adaption and its application to smoke recognition.

Feiniu Yuan, Jinting Shi, Xue Xia, Qinghua Huang, Xuelong Li

IET Comput. Vis., 2019

Encoding pairwise Hamming distances of Local Binary Patterns for visual smoke recognition.

Feiniu Yuan, Jinting Shi, Xue Xia, Lin Zhang, Shuying Li

Comput. Vis. Image Underst., 2019

2018

Learning multi-scale and multi-order features from 3D local differences for visual smoke recognition.

Feiniu Yuan, Xue Xia, Jinting Shi, Lin Zhang, Jifeng Huang

Inf. Sci., 2018

Mixed co-occurrence of local binary patterns and Hamming-distance-based local binary patterns.

Feiniu Yuan, Xue Xia, Jinting Shi

Inf. Sci., 2018

2017

Non-Linear Dimensionality Reduction and Gaussian Process Based Classification Method for Smoke Detection.

Feiniu Yuan, Xue Xia, Jinting Shi, Hongdi Li, Gang Li

IEEE Access, 2017

A Deep Normalization and Convolutional Neural Network for Image Smoke Detection.

Zhijian Yin, Boyang Wan, Feiniu Yuan, Xue Xia, Jinting Shi

IEEE Access, 2017

2016

Sub Oriented Histograms of Local Binary Patterns for Smoke Detection and Texture Classification.

Feiniu Yuan, Jinting Shi, Xue Xia, Yong Yang, Yuming Fang, Rui Wang

KSII Trans. Internet Inf. Syst., 2016

High-order local ternary patterns with locality preserving projection for smoke detection and image classification.

Feiniu Yuan, Jinting Shi, Xue Xia, Yuming Fang, Zhijun Fang, Tao Mei

Inf. Sci., 2016