Chen Zheng

Orcid: 0000-0002-4851-7530

Affiliations:
  • Henan University, School of Mathematics and Statistics, Kaifeng, China


According to our database1, Chen Zheng authored at least 18 papers between 2013 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
OMRF-HS: Object Markov Random Field With Hierarchical Semantic Regularization for High-Resolution Image Semantic Segmentation.
IEEE Trans. Geosci. Remote. Sens., 2025

Video Complicated-Information Extraction and Filtering Network for Weakly-Supervised Temporal Action Localization.
IEEE Signal Process. Lett., 2025

2024
Hierarchical Self-Learning Knowledge Inference Based on Markov Random Field for Semantic Segmentation of Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2024

SLPA-Net: A Real-Time Recognition Network for Intelligent Stomata Localization and Phenotypic Analysis.
IEEE ACM Trans. Comput. Biol. Bioinform., 2024

Crop Identification of UAV Images Based on an Unsupervised Semantic Segmentation Method.
IEEE Geosci. Remote. Sens. Lett., 2024

Multi-Semantic Markov Random Field Model for Semantic Segmentation of High-Resolution Remote Sensing Images.
Proceedings of the IGARSS 2024, 2024

2023
A Generalization Sample Learning Method of Deep Learning for Semantic Segmentation of Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2023

A Self-Learning-Update CNN Model for Semantic Segmentation of Remote Sensing Images.
IEEE Geosci. Remote. Sens. Lett., 2023

Deep Face Recognition with Cosine Boundary Softmax Loss.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

2022
EnhanceFace: Adaptive Weighted SoftMax Loss for Deep Face Recognition.
IEEE Signal Process. Lett., 2022

An MRF-Based Multigranularity Edge-Preservation Optimization for Semantic Segmentation of Remote Sensing Images.
IEEE Geosci. Remote. Sens. Lett., 2022

2021
Multigranularity Multiclass-Layer Markov Random Field Model for Semantic Segmentation of Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2021

Multigranularity Multiclass-Layer Markov Random Field Model for Improving Remote Sensing Image Classification.
Proceedings of the 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, 2021

2019
A Hybrid Markov Random Field Model With Multi-Granularity Information for Semantic Segmentation of Remote Sensing Imagery.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019

A Markov Random Field Moel with Alternating Granularities for Segmentation of High Spatial Resolution Remote Sensing Imagery.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2017
Semantic Segmentation of Remote Sensing Imagery Using an Object-Based Markov Random Field Model With Auxiliary Label Fields.
IEEE Trans. Geosci. Remote. Sens., 2017

2015
Semantic Segmentation of Remote Sensing Imagery Using Object-Based Markov Random Field Model With Regional Penalties.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015

2013
Image Segmentation Using Multiregion-Resolution MRF Model.
IEEE Geosci. Remote. Sens. Lett., 2013


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