Chuang Yu

Orcid: 0000-0003-2604-4282

Affiliations:
  • Hainan University, School of Computer Science and Cyberspace Security, Haikou, China


According to our database1, Chuang Yu authored at least 16 papers between 2019 and 2024.

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

Timeline

Legend:

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Links

Online presence:

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Bibliography

2024
LR-Net: A Lightweight and Robust Network for Infrared Small Target Detection.
CoRR, 2024

Refined Infrared Small Target Detection Scheme with Single-Point Supervision.
CoRR, 2024

Infrared Small Target Detection based on Adjustable Sensitivity Strategy and Multi-Scale Fusion.
CoRR, 2024

Multi-Scale Direction-Aware Network for Infrared Small Target Detection.
CoRR, 2024

Relational Representation Learning Network for Cross-Spectral Image Patch Matching.
CoRR, 2024

2023
Dual-Domain Prior-Driven Deep Network for Infrared Small-Target Detection.
Remote. Sens., August, 2023

Feature Interaction Learning Network for Cross-Spectral Image Patch Matching.
IEEE Trans. Image Process., 2023

Efficient Feature Relation Learning Network for Cross-Spectral Image Patch Matching.
IEEE Trans. Geosci. Remote. Sens., 2023

Gradient-Guided Learning Network for Infrared Small Target Detection.
IEEE Geosci. Remote. Sens. Lett., 2023

Prototype Contrastive Learning for Building Extraction From Remote Sensing Images.
IEEE Geosci. Remote. Sens. Lett., 2023

An intelligent measurement scheme for basic characters of fish in smart aquaculture.
Comput. Electron. Agric., 2023

2022
Multibranch Feature Difference Learning Network for Cross-Spectral Image Patch Matching.
IEEE Trans. Geosci. Remote. Sens., 2022

Precise and Fast Segmentation of Offshore Farms in High-Resolution SAR Images Based on Model Fusion and Half-Precision Parallel Inference.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Pay Attention to Local Contrast Learning Networks for Infrared Small Target Detection.
IEEE Geosci. Remote. Sens. Lett., 2022

2020
Accurate Prediction Scheme of Water Quality in Smart Mariculture With Deep Bi-S-SRU Learning Network.
IEEE Access, 2020

2019
Fish Behavior Tracking Algorithm Based on Multi-Domain Deep Convolutional Neural Network.
Proceedings of the 4th International Conference on Multimedia Systems and Signal Processing, 2019


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