Yingxu Qiao

Orcid: 0000-0001-6227-614X

According to our database1, Yingxu Qiao authored at least 18 papers between 2011 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Robust Synthetic-to-Real Ensemble Dehazing Algorithm With the Intermediate Domain.
IEEE Trans. Comput. Soc. Syst., August, 2024

Rethinking Zero-DCE for Low-Light Image Enhancement.
Neural Process. Lett., April, 2024

Dual-route synthetic-to-real adaption for single image dehazing.
IET Image Process., March, 2024

2023
Domain adaptive crowd counting via dynamic scale aggregation network.
IET Comput. Vis., October, 2023

Semantics recalibration and detail enhancement network for real-time semantic segmentation.
IET Comput. Vis., June, 2023

PVT-Crowd: Bridging Multi-scale Features from Pyramid Vision Transformer for Weakly-Supervised Crowd Counting.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Boosting Object Detection in Foggy Scenes via Dark Channel Map and Union Training Strategy.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

2022
High quality proposal feature generation for crowded pedestrian detection.
Pattern Recognit., 2022

Efficient photorealistic style transfer with multi-order image statistics.
Appl. Intell., 2022

Realistic Nighttime Haze Image Generation with Glow Effect.
Proceedings of the 11th International Conference on Networks, Communication and Computing, 2022

Low-light Image Enhancement via Unsupervised Progressive Fusion Network.
Proceedings of the 11th International Conference on Networks, Communication and Computing, 2022

Detail Recovery and Color Enhancement for Single Image Dehazing.
Proceedings of the 11th International Conference on Networks, Communication and Computing, 2022

2021
Efficient Style-Corpus Constrained Learning for Photorealistic Style Transfer.
IEEE Trans. Image Process., 2021

Towards learning line descriptors from patches: a new paradigm and large-scale dataset.
Int. J. Mach. Learn. Cybern., 2021

2020
Learning Multi-Level Features to Improve Crowd Counting.
IEEE Access, 2020

Deep High-Resolution Network With Double Attention Residual Blocks for Human Pose Estimation.
IEEE Access, 2020

D-MSCD: Mean-Standard Deviation Curve Descriptor Based on Deep Learning.
IEEE Access, 2020

2011
Research on Client Detection of BitTorrent Based on Content.
Proceedings of the Advances in Computer Science, Environment, Ecoinformatics, and Education, 2011


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