Qunbo Lv

According to our database1, Qunbo Lv authored at least 17 papers between 2015 and 2024.

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Bibliography

2024
An Efficient Hybrid CNN-Transformer Approach for Remote Sensing Super-Resolution.
Remote. Sens., March, 2024

Infrared Small Target Detection Based on Tensor Tree Decomposition and Self-Adaptive Local Prior.
Remote. Sens., March, 2024

Adaptive Global Power-of-Two Ternary Quantization Algorithm Based on Unfixed Boundary Thresholds.
Sensors, 2024

2023
Multi-Attention Multi-Image Super-Resolution Transformer (MAST) for Remote Sensing.
Remote. Sens., September, 2023

Gradient Structure Information-Guided Attention Generative Adversarial Networks for Remote Sensing Image Generation.
Remote. Sens., June, 2023

A Hardware-Friendly High-Precision CNN Pruning Method and Its FPGA Implementation.
Sensors, January, 2023

Infrared Small Target Detection Using Double-Weighted Multi-Granularity Patch Tensor Model With Tensor-Train Decomposition.
CoRR, 2023

Features Matter: Cross-Domain Mutual Centralized Learning for Few Shot Remote Sensing Object Detection.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022
Blind Deblurring of Remote-Sensing Single Images Based on Feature Alignment.
Sensors, 2022

A Hardware-Friendly Low-Bit Power-of-Two Quantization Method for CNNs and Its FPGA Implementation.
Sensors, 2022

A Deconvolutional Deblurring Algorithm Based on Short- and Long-Exposure Images.
Sensors, 2022

2021
Identification of Typical Solid Hazardous Chemicals Based on Hyperspectral Imaging.
Remote. Sens., 2021

A Two-Stage Network for Image Deblurring.
IEEE Access, 2021

2019

Real-Time Domain Transform Recursive Filtering Dehazing Method Based on Polarization Image.
Proceedings of the 12th International Congress on Image and Signal Processing, 2019

2016
An image sharpening strategy based on multiframe super resolution for multispectral data.
Proceedings of the 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2016

2015
Sub-block PCA-wavelet image sharpening approach for hyperspectral images.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015


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