Yingxu Qiao

28 papers Journal 22Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Real-Time Semantic Segmentation Network with Boundary-Focused and Multi-Scale Context Fusion.
IET Image Process.
Shan Zhao, Jing Ning, Fukai Zhang, Zhanqiang Huo, Yingxu Qiao
2026 J jnl
AEAFFNet: enhancing real-time semantic segmentation through attention-enhanced adaptive feature fusion.
J. Supercomput.
Shan Zhao, Wenjing Fu, Fukai Zhang, Zhanqiang Huo, Yingxu Qiao
2026 J jnl
Hunting for the unknown: Open world object detection from a class-agnostic perspective.
Neural Networks
Jing Wang, Yonghua Cao, Zhanqiang Huo, Yingxu Qiao
2026 J jnl
Towards universal object detection: a fine-grained perspective on open-vocabulary object detection.
Multim. Syst.
Jing Wang, Yonghua Cao, Zhanqiang Huo, Yingxu Qiao
2025 J jnl
Combining implicit and explicit priors for zero-reference low-light image enhancement and denoising.
Multim. Syst.
Jinxia Yu, Fabao Xue, Zhanqiang Huo, Yingxu Qiao
2025 J jnl
D3-Dehaze: a divide-and-conquer framework for enhanced single image dehazing.
Vis. Comput.
Zhanqiang Huo, Xiyan Zhan, Yingxu Qiao, Shan Zhao
2025 J jnl
Dark channel map and union training strategy for object detection in foggy scenes.
Pattern Recognit. Lett.
Zhanqiang Huo, Sen Li, Sensen Meng, Yingxu Qiao, Shan Zhao, LuYao Liu
2025 J jnl
More Realistic Edges, Textures, and Colors for Image Non-Homogeneous Dehazing.
IET Image Process.
Hairu Guo, Yaning Li, Zhanqiang Huo, Shan Zhao, Yingxu Qiao
2025 J jnl
VMamba-Crowd: Bridging multi-scale features from Visual Mamba for weakly-supervised crowd counting.
Pattern Recognit. Lett.
Zhanqiang Huo, Chunxin Yuan, Kunwei Zhang, Yingxu Qiao, Fen Luo
2024 J jnl
Dual-route synthetic-to-real adaption for single image dehazing.
IET Image Process.
Yingxu Qiao, Zhanqiang Huo, Sensen Meng
2024 J jnl
Joint dual-teacher distillation and unsupervised fusion for unpaired real-world image dehazing.
Complex Intell. Syst.
Yingxu Qiao, Xiyan Zhan, Fen Luo, Zhanqiang Huo
2024 J jnl
Rethinking Zero-DCE for Low-Light Image Enhancement.
Neural Process. Lett.
Aizhong Mi, Wenhui Luo, Yingxu Qiao, Zhanqiang Huo
2024 J jnl
Robust Synthetic-to-Real Ensemble Dehazing Algorithm With the Intermediate Domain.
IEEE Trans. Comput. Soc. Syst.
Yingxu Qiao, Xing Wang, Hongmin Liu, Zhanqiang Huo
2023 — conf
Boosting Object Detection in Foggy Scenes via Dark Channel Map and Union Training Strategy.
PRCV (12)
Zhanqiang Huo, Sensen Meng, Yingxu Qiao, Fen Luo
2023 J jnl
Domain adaptive crowd counting via dynamic scale aggregation network.
IET Comput. Vis.
Zhanqiang Huo, Yanan Wang, Yingxu Qiao, Jing Wang, Fen Luo
2023 — conf
PVT-Crowd: Bridging Multi-scale Features from Pyramid Vision Transformer for Weakly-Supervised Crowd Counting.
PRCV (9)
Zhanqiang Huo, Kunwei Zhang, Fen Luo, Yingxu Qiao
2023 J jnl
Semantics recalibration and detail enhancement network for real-time semantic segmentation.
IET Comput. Vis.
Aizhong Mi, Mingming Gao, Zhanqiang Huo, Yingxu Qiao, Jian Chen, Haiyang Jia
2022 — conf
Detail Recovery and Color Enhancement for Single Image Dehazing.
ICNCC
Wangming Fang, Zhanqiang Huo, Yingxu Qiao
2022 J jnl
Efficient photorealistic style transfer with multi-order image statistics.
Appl. Intell.
Zhanqiang Huo, Xueli Li, Yingxu Qiao, Panbo Zhou, Jing Wang
2022 J jnl
High quality proposal feature generation for crowded pedestrian detection.
Pattern Recognit.
Jing Wang, Cailing Zhao, Zhanqiang Huo, Yingxu Qiao, Haifeng Sima
2022 — conf
Low-light Image Enhancement via Unsupervised Progressive Fusion Network.
ICNCC
Hengxuan Li, Zhanqiang Huo, Yingxu Qiao
2022 — conf
Realistic Nighttime Haze Image Generation with Glow Effect.
ICNCC
Yading Zheng, Aizhong Mi, Yingxu Qiao, Yijiang Wang
2021 J jnl
Efficient Style-Corpus Constrained Learning for Photorealistic Style Transfer.
IEEE Trans. Image Process.
Yingxu Qiao, Jiabao Cui, Fuxian Huang, Hongmin Liu, Cuizhu Bao, Xi Li
2021 J jnl
Towards learning line descriptors from patches: a new paradigm and large-scale dataset.
Int. J. Mach. Learn. Cybern.
Hongmin Liu, Yujie Liu, Miaomiao Fu, Yuhui Wei, Zhanqiang Huo, Yingxu Qiao
2020 J jnl
D-MSCD: Mean-Standard Deviation Curve Descriptor Based on Deep Learning.
IEEE Access
Zhanqiang Huo, Guangxing Du, Fen Luo, Yingxu Qiao, Junwei Luo
2020 J jnl
Deep High-Resolution Network With Double Attention Residual Blocks for Human Pose Estimation.
IEEE Access
Zhanqiang Huo, Han Jin, Yingxu Qiao, Fen Luo
2020 J jnl
Learning Multi-Level Features to Improve Crowd Counting.
IEEE Access
Zhanqiang Huo, Bin Lu, Aizhong Mi, Fen Luo, Yingxu Qiao
2011 — conf
Research on Client Detection of BitTorrent Based on Content.
CSEE (2)
Yingxu Qiao, Hong-guo Yang