Jingchun Zhou

According to our database, Jingchun Zhou authored at least 51 papers between 2019 and 2025.

Collaborative distances:

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

2025

WaterHE-NeRF: Water-ray matching neural radiance fields for underwater scene reconstruction.

Jingchun Zhou, Tianyu Liang, Dehuan Zhang, Siyuan Liu, Junsheng Wang, Edmond Q. Wu

Inf. Fusion, 2025

MLFINet : A multi-level feature interaction 3D medical image segmentation network.

Chuanlin Liao, Xiaolin Gou, Kemal Polat, Jingchun Zhou, Yi Lin

Neurocomputing, 2025

2024

Correction: HCLR-Net: Hybrid Contrastive Learning Regularization with Locally Randomized Perturbation for Underwater Image Enhancement.

Jingchun Zhou, Jiaming Sun, Chongyi Li, Qiuping Jiang, Man Zhou, Kin-Man Lam, Weishi Zhang, Xianping Fu

Int. J. Comput. Vis., November, 2024

HCLR-Net: Hybrid Contrastive Learning Regularization with Locally Randomized Perturbation for Underwater Image Enhancement.

Jingchun Zhou, Jiaming Sun, Chongyi Li, Qiuping Jiang, Man Zhou, Kin-Man Lam, Weishi Zhang, Xianping Fu

Int. J. Comput. Vis., October, 2024

Robust underwater image enhancement with cascaded multi-level sub-networks and triple attention mechanism.

Dehuan Zhang, Chenyu Wu, Jingchun Zhou, Weishi Zhang, Zifan Lin, Kemal Polat, Fayadh Alenezi

Neural Networks, January, 2024

A Pixel Distribution Remapping and Multi-Prior Retinex Variational Model for Underwater Image Enhancement.

Jingchun Zhou, Shiyin Wang, Zifan Lin, Qiuping Jiang, Ferdous Sohel

IEEE Trans. Multim., 2024

DTKD-Net: Dual-Teacher Knowledge Distillation Lightweight Network for Water-Related Optics Image Enhancement.

Jingchun Zhou, Bo Zhang, Dehuan Zhang, Gemine Vivone, Qiuping Jiang

IEEE Trans. Geosci. Remote. Sens., 2024

IACC: Cross-Illumination Awareness and Color Correction for Underwater Images Under Mixed Natural and Artificial Lighting.

Jingchun Zhou, Qilin Gai, Dehuan Zhang, Kin-Man Lam, Weishi Zhang, Xianping Fu

IEEE Trans. Geosci. Remote. Sens., 2024

Integrally Mixing Pyramid Representations for Anchor-Free Object Detection in Aerial Imagery.

Cong Zhang, Jun Xiao, Cuixin Yang, Jingchun Zhou, Kin-Man Lam, Qi Wang

IEEE Geosci. Remote. Sens. Lett., 2024

Improved YOLOv7 model for underwater sonar image object detection.

Ken Sinkou Qin, Di Liu, Fei Wang, Jingchun Zhou, Jiaxuan Yang, Weishi Zhang

J. Vis. Commun. Image Represent., 2024

Decoupled variational retinex for reconstruction and fusion of underwater shallow depth-of-field image with parallax and moving objects.

Jingchun Zhou, Shiyin Wang, Dehuan Zhang, Qiuping Jiang, Kui Jiang, Yi Lin

Inf. Fusion, 2024

TANet: Transmission and atmospheric light driven enhancement of underwater images.

Dehuan Zhang, Yakun Guo, Jingchun Zhou, Weishi Zhang, Zifan Lin, Kemal Polat, Fayadh Alenezi, Adi Alhudhaif

Expert Syst. Appl., 2024

FBDPN: CNN-Transformer hybrid feature boosting and differential pyramid network for underwater object detection.

Xun Ji, Shijie Chen, Li-Ying Hao, Jingchun Zhou, Long Chen

Expert Syst. Appl., 2024

Hybrid network via key feature fusion for image restoration.

Shuteng Hu, Guodong Fan, Jingchun Zhou, Jinfu Fan, Min Gan, C. L. Philip Chen

Eng. Appl. Artif. Intell., 2024

Underwater Image Enhancement with Cascaded Contrastive Learning.

Yi Liu, Qiuping Jiang, Xinyi Wang, Ting Luo, Jingchun Zhou

CoRR, 2024

Randomized dual singular value decomposition.

Mengyu Wang, Jingchun Zhou, Hanyu Li

CoRR, 2024

FDCE-Net: Underwater Image Enhancement with Embedding Frequency and Dual Color Encoder.

Zheng Cheng, Guodong Fan, Jingchun Zhou, Min Gan, C. L. Philip Chen

CoRR, 2024

AMSP-UOD: When Vortex Convolution and Stochastic Perturbation Meet Underwater Object Detection.

Jingchun Zhou, Zongxin He, Kin-Man Lam, Yudong Wang, Weishi Zhang, Chunle Guo, Chongyi Li

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Synergistic Multiscale Detail Refinement via Intrinsic Supervision for Underwater Image Enhancement.

Dehuan Zhang, Jingchun Zhou, Chunle Guo, Weishi Zhang, Chongyi Li

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Underwater image enhancement via variable contrast and saturation enhancement model.

Lei Pang, Jingchun Zhou, Weishi Zhang

Multim. Tools Appl., December, 2023

ReX-Net: A reflectance-guided underwater image enhancement network for extreme scenarios.

Dehuan Zhang, Jingchun Zhou, Weishi Zhang, Zifan Lin, Jian Yao, Kemal Polat, Fayadh Alenezi, Adi Alhudhaif

Expert Syst. Appl., November, 2023

Cardinality estimation of activity trajectory similarity queries using deep learning.

Ruijie Tian, Weishi Zhang, Fei Wang, Jingchun Zhou, Adi Alhudhaif, Fayadh Alenezi

Inf. Sci., October, 2023

Scale-progressive Multi-patch Network for image dehazing.

Dan Zhang, Jingchun Zhou, Dehuan Zhang, Pengfei Qi

Signal Process. Image Commun., September, 2023

Underwater object detection by fusing features from different representations of sonar data.

Fei Wang, Wanyu Li, Miao Liu, Jingchun Zhou, Weishi Zhang

Frontiers Inf. Technol. Electron. Eng., June, 2023

Cross-view enhancement network for underwater images.

Jingchun Zhou, Dehuan Zhang, Weishi Zhang

Eng. Appl. Artif. Intell., May, 2023

Multi-view underwater image enhancement method via embedded fusion mechanism.

Jingchun Zhou, Jiaming Sun, Weishi Zhang, Zifan Lin

Eng. Appl. Artif. Intell., May, 2023

UGIF-Net: An Efficient Fully Guided Information Flow Network for Underwater Image Enhancement.

Jingchun Zhou, Boshen Li, Dehuan Zhang, Jieyu Yuan, Weishi Zhang, Zhanchuan Cai, Jinyu Shi

IEEE Trans. Geosci. Remote. Sens., 2023

Hierarchical attention aggregation with multi-resolution feature learning for GAN-based underwater image enhancement.

Dehuan Zhang, Chenyu Wu, Jingchun Zhou, Weishi Zhang, Chaolei Li, Zifan Lin

Eng. Appl. Artif. Intell., 2023

Adaptive weighted multiscale retinex for underwater image enhancement.

Dayi Li, Jingchun Zhou, Shiyin Wang, Dehuan Zhang, Weishi Zhang, Raghad Alwadai, Fayadh Alenezi, Prayag Tiwari, Taian Shi

Eng. Appl. Artif. Intell., 2023

DGNet: Dynamic Gradient-guided Network with Noise Suppression for Underwater Image Enhancement.

Jingchun Zhou, Zongxin He, Dehuan Zhang, Kin-Man Lam, Weishi Zhang, Xianping Fu, Yi Wang, Chongyi Li

CoRR, 2023

IA2U: A Transfer Plugin with Multi-Prior for In-Air Model to Underwater.

Jingchun Zhou, Qilin Gai, Weishi Zhang, Kin-Man Lam, Xianping Fu, Ting Li, Chongyi Li

CoRR, 2023

WaterHE-NeRF: Water-ray Tracing Neural Radiance Fields for Underwater Scene Reconstruction.

Jingchun Zhou, Tianyu Liang, Zongxin He, Dehuan Zhang, Weishi Zhang, Xianping Fu, Chongyi Li

CoRR, 2023

Block-Randomized Stochastic Methods for Tensor Ring Decomposition.

Yajie Yu, Hanyu Li, Jingchun Zhou

CoRR, 2023

Underwater vision enhancement technologies: a comprehensive review, challenges, and recent trends.

Jingchun Zhou, Tongyu Yang, Weishi Zhang

Appl. Intell., 2023

2022

Multi-scale retinex-based adaptive gray-scale transformation method for underwater image enhancement.

Jingchun Zhou, Jian Yao, Weishi Zhang, Dehuan Zhang

Multim. Tools Appl., 2022

Auto Color Correction of Underwater Images Utilizing Depth Information.

Jingchun Zhou, Dehuan Zhang, Wenqi Ren, Weishi Zhang

IEEE Geosci. Remote. Sens. Lett., 2022

Underwater image restoration via backscatter pixel prior and color compensation.

Jingchun Zhou, Tongyu Yang, Weishen Chu, Weishi Zhang

Eng. Appl. Artif. Intell., 2022

SnowFormer: Scale-aware Transformer via Context Interaction for Single Image Desnowing.

Sixiang Chen, Tian Ye, Yun Liu, Erkang Chen, Jun Shi, Jingchun Zhou

CoRR, 2022

Underwater Image Restoration via Information Distribution and Light Scattering Prior.

Jingchun Zhou, Yanyun Wang, Weishi Zhang

Comput. Electr. Eng., 2022

Underwater image enhancement method with light scattering characteristics.

Jingchun Zhou, Xiaojing Wei, Jinyu Shi, Weishen Chu, Weishi Zhang

Comput. Electr. Eng., 2022

Underwater image enhancement method via multi-feature prior fusion.

Jingchun Zhou, Dehuan Zhang, Weishi Zhang

Appl. Intell., 2022

Spatial Characteristics Analysis of Tourist Spots in Kunming based on POI Data.

Zhanyong Feng, Jingchun Zhou

Proceedings of the International Conference on Computers, 2022

Light Attenuation and Color Fluctuation for Underwater Image Restoration.

Jingchun Zhou, Dingshuo Liu, Dehuan Zhang, Weishi Zhang

Proceedings of the Computer Vision - ACCV 2022, 2022

2021

A multifeature fusion method for the color distortion and low contrast of underwater images.

Jingchun Zhou, Dehuan Zhang, Weishi Zhang

Multim. Tools Appl., 2021

Underwater image restoration based on secondary guided transmission map.

Jingchun Zhou, Zhenzhen Liu, Weidong Zhang, Dehuan Zhang, Weishi Zhang

Multim. Tools Appl., 2021

Adaptive histogram fusion-based colour restoration and enhancement for underwater images.

Jingchun Zhou, Dehuan Zhang, Weishi Zhang

Int. J. Secur. Networks, 2021

Autonomous underwater robot for underwater image enhancement via multi-scale deformable convolution network with attention mechanism.

Yi Lin, Jingchun Zhou, Wenqi Ren, Weishi Zhang

Comput. Electron. Agric., 2021

Image enhancement and image matching of UAV based on histogram equalization.

Jingchun Zhou, Wenfei Xi, Dongsheng Li, Hongzhi Huang

Proceedings of the 28th International Conference on Geoinformatics, 2021

2020

Classical and state-of-the-art approaches for underwater image defogging: a comprehensive survey.

Jingchun Zhou, Dehuan Zhang, Wei-shi Zhang

Frontiers Inf. Technol. Electron. Eng., 2020

2019

Retinex-Based Laplacian Pyramid Method for Image Defogging.

Jingchun Zhou, Dehuan Zhang, Peiyu Zou, Weidong Zhang, Weishi Zhang

IEEE Access, 2019

Single Image Defogging Based on Multi-Channel Convolutional MSRCR.

Weidong Zhang, Lili Dong, Xipeng Pan, Jingchun Zhou, Li Qin, Wenhai Xu

IEEE Access, 2019