Kangjian He

According to our database, Kangjian He authored at least 32 papers between 2016 and 2024.

Collaborative distances:

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

2024

Affective image recognition with multi-attribute knowledge in deep neural networks.

Hao Zhang, Gaifang Luo, Yingying Yue, Kangjian He, Dan Xu

Multim. Tools Appl., February, 2024

2023

Adaptive low light visual enhancement and high-significant target detection for infrared and visible image fusion.

Wenxia Yin, Kangjian He, Dan Xu, Yingying Yue, Yueying Luo

Vis. Comput., December, 2023

Cascade connection-based channel attention network for bidirectional medical image registration.

Lingxiang Kong, Tao Yang, Lisiqi Xie, Dan Xu, Kangjian He

Vis. Comput., November, 2023

Superpixel-based adaptive salient region analysis for infrared and visible image fusion.

Chengzhou Li, Kangjian He, Dan Xu, Dapeng Tao, Xu Lin, Hongzhen Shi, Wenxia Yin

Neural Comput. Appl., October, 2023

Skeleton-based Human Action Recognition via Large-kernel Attention Graph Convolutional Network.

Yanan Liu, Hao Zhang, Yanqiu Li, Kangjian He, Dan Xu

IEEE Trans. Vis. Comput. Graph., 2023

Fidelity-driven Optimization Reconstruction and Details Preserving Guided Fusion for Multi-Modality Medical Image.

Kangjian He, Xuejie Zhang, Dan Xu, Jian Gong, Lisiqi Xie

IEEE Trans. Multim., 2023

Low-light image enhancement for infrared and visible image fusion.

Yiqiao Zhou, Lisiqi Xie, Kangjian He, Dan Xu, Dapeng Tao, Xu Lin

IET Image Process., 2023

D2BEGAN: A Dual-Discriminator Boundary Equilibrium Generative Adversarial Network for Infrared and Visible Image Fusion.

Wenbo Liu, Kangjian He, Dan Xu

Proceedings of the 6th International Conference on Image and Graphics Processing, 2023

Boosting Image Emotion Analysis via Coupling Dependent Attentive Model.

Xiao Han, Hao Zhang, Zhaoyu Xiong, Yanan Liu, Kangjian He, Dan Xu

Proceedings of the 6th International Conference on Image and Graphics Processing, 2023

Multi-autoencoder with Perceptual Loss-Based Network for Infrared and Visible Image Fusion.

Kai Chen, Kangjian He, Dan Xu

Proceedings of the 6th International Conference on Image and Graphics Processing, 2023

2022

Learning multi-level representations for affective image recognition.

Hao Zhang, Dan Xu, Gaifang Luo, Kangjian He

Neural Comput. Appl., 2022

Adaptive enhanced infrared and visible image fusion using hybrid decomposition and coupled dictionary.

Wenxia Yin, Kangjian He, Dan Xu, Yueying Luo, Jian Gong

Neural Comput. Appl., 2022

Focus-pixel estimation and optimization for multi-focus image fusion.

Kangjian He, Jian Gong, Dan Xu

Multim. Tools Appl., 2022

Graph transformer network with temporal kernel attention for skeleton-based action recognition.

Yanan Liu, Hao Zhang, Dan Xu, Kangjian He

Knowl. Based Syst., 2022

OsaMOT: Occlusion and scale-aware multi-object tracking algorithm for low viewpoint.

Yingying Yue, Dan Xu, Kangjian He, Hongzhen Shi, Hao Zhang

IET Image Process., 2022

Precision Inspection and Evaluation System for Paper Packaging of Cigarettes.

Jian Gong, Haipeng Li, Dan Xu, Kangjian He, Hao Zhang, Chao Zhang, Zhong Luo

Proceedings of the ICIGP 2022: The 5th International Conference on Image and Graphics Processing, Beijing, China, January 7, 2022

Image Inpainting Based on Edge Features and Attention Mechanism.

Yuting Fu, Dan Xu, Kangjian He, Haipeng Li, Tingting Zhang

Proceedings of the ICIGP 2022: The 5th International Conference on Image and Graphics Processing, Beijing, China, January 7, 2022

2021

Contrastive learning for a single historical painting's blind super-resolution.

Hongzhen Shi, Dan Xu, Kangjian He, Hao Zhang, Yingying Yue

Vis. Informatics, 2021

Regions Preserving Edge Enhancement for Multisensor-Based Medical Image Fusion.

Kangjian He, Jian Gong, Lisiqi Xie, Xuejie Zhang, Dan Xu

IEEE Trans. Instrum. Meas., 2021

Adaptive colour restoration and detail retention for image enhancement.

Kangjian He, Dapeng Tao, Dan Xu

IET Image Process., 2021

AMF-UNet: A CT Image Segmentation Approach of Pulmonary Tuberculosis.

Yan Zhao, Dan Xu, Kangjian He

Proceedings of the ICIGP 2021: The 4th International Conference on Image and Graphics Processing, Sanya, China, 1, 2021

2019

FuseGAN: Learning to Fuse Multi-Focus Image via Conditional Generative Adversarial Network.

Xiaopeng Guo, Rencan Nie, Jinde Cao, Dongming Zhou, Liye Mei, Kangjian He

IEEE Trans. Multim., 2019

Multi-focus image fusion combining focus-region-level partition and pulse-coupled neural network.

Kangjian He, Dongming Zhou, Xuejie Zhang, Rencan Nie, Xin Jin

Soft Comput., 2019

MRI and PET/SPECT fusion with pseudo spatial frequency in local laplacian filter domain.

Lingyu Meng, Rencan Nie, Xiaopeng Guo, Min He, Kangjian He

Proceedings of the 8th International Conference on Informatics, 2019

2018

Multi-focus image fusion method using S-PCNN optimized by particle swarm optimization.

Xin Jin, Dongming Zhou, Shaowen Yao, Rencan Nie, Qian Jiang, Kangjian He, Quan Wang

Soft Comput., 2018

A lightweight scheme for multi-focus image fusion.

Xin Jin, Jingyu Hou, Rencan Nie, Shaowen Yao, Dongming Zhou, Qian Jiang, Kangjian He

Multim. Tools Appl., 2018

Infrared and Visible Image Fusion Combining Interesting Region Detection and Nonsubsampled Contourlet Transform.

Kangjian He, Dongming Zhou, Xuejie Zhang, Rencan Nie

J. Sensors, 2018

Multi-focus: Focused region finding and multi-scale transform for image fusion.

Kangjian He, Dongming Zhou, Xuejie Zhang, Rencan Nie

Neurocomputing, 2018

Color Transfer Pulse-Coupled Neural Networks for Underwater Robotic Visual Systems.

Kangjian He, Ruxin Wang, Dapeng Tao, Jun Cheng, Weifeng Liu

IEEE Access, 2018

2016

基于拉普拉斯金字塔与PCNN-SML的图像融合算法 (Image Fusion Algorithm Using LP Transformation and PCNN-SML).

Quan Wang, Rencan Nie, Xin Jin, Dongming Zhou, Kangjian He, Jiefu Yu

计算机科学, 2016

Multifocus Color Image Fusion Based on NSST and PCNN.

Xin Jin, Rencan Nie, Dongming Zhou, Quan Wang, Kangjian He

J. Sensors, 2016

Analysis of Similarity/Dissimilarity of DNA Sequences Based on Pulse Coupled Neural Network.

Xin Jin, Dongming Zhou, Shaowen Yao, Rencan Nie, Quan Wang, Kangjian He

Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2016