师资队伍

2023

Y. Jia, J. Gao, W. Huang, Y. Yuan, and Q. Wang, "Holistic Mutual Representation Enhancement for Few-Shot Remote Sensing Segmentation," IEEE T-GRS, 2023.  （SCI 一区、遥感顶级期刊）

J. Hu, J. Gao, Y. Yuan, J. Chanussot, and Q. Wang*, "LGNet: Location-Guided Network for Road Extraction from Satellite Images," IEEE T-GRS, 2023.  （SCI 一区、遥感顶级期刊）

H. Ding, J. Gao*, Y. Yuan, and Q. Wang*, "An End-to-End Contrastive License Plate Detector," IEEE T-ITS, 2023.  （SCI 一区、智能交通顶级期刊）

Y. Jia, J. Gao*, W. Huang, Y. Yuan, and Q. Wang*, "Exploring Hard Samples in Multi-View for Few-Shot Remote Sensing Scene Classification," IEEE T-GRS, 2023.  （SCI 一区、遥感顶级期刊）

J. Wang, J. Gao*, Y. Yuan, and Q. Wang*, "Crowd Localization from Gaussian Mixture Scoped Knowledge and Scoped Teacher," IEEE T-IP, 2023.  （SCI 一区、CCF A、图像处理顶级期刊）

H. Ding, J. Gao*, Y. Yuan, and Q. Wang*, "Boosting One-Stage License Plate Detector via Self-Constrained Contrastive Aggregation," IEEE T-CSVT, 2023.  (SCI 一区）

L. Zhao, J. Gao*, and X. Li, "NAS-Kernel: Learning Suitable Gaussian Kernel for Remote-Sensing Object Counting," IEEE GRSL, 2023. (SCI 二区)

J. Gao, H. Lu, and X. Li, “Learning from Temporal Aviation Data to Detect Anomaly Events,” CASTC, 2023.

高君宇，尹阁豪，李学龙. 智能航空传感器故障诊断一体化架构设计. 中国航空科学技术大会, 2023.

高君宇，张达，李学龙. 基于多尺度表征的航空时序数据故障检测. 中国航空科学技术大会, 2023.

杨昊，高君宇，李学龙. 基于自适应重采样的试飞数据异常检测. 中国航空科学技术大会, 2023.

孙旭，高君宇，袁媛. 多模态航空传感器故障分析. 中国航空科学技术大会, 2023.

张达，高君宇，丁腾欢，谷士鹏，李学龙. 基于时序二维化的航空传感器故障检测. 西北工业大学学报, 2023.

2022

T Han, L Bai, J. Gao, Q Wang, W Ouyang, "DR. VIC: Decomposition and Reasoning for Video Individual Counting", EEE CVPR, 2022. (CCF A、计算机视觉顶级会议)

W. Lin, K. Yang, X. Ma, J. Gao, L. Liu, S. Liu, J. Hou, S. Yi, AB Chan, "Scale-Prior Deformable Convolution for Exemplar-Guided Class-Agnostic Counting," BMVC, 2022.

H. Li, L. Liu, K. Yang, S. Liu, J. Gao, B. Zhao, R. Zhang, and J. Hou, "Video Crowd Localization With Multifocus Gaussian Neighborhood Attention and a Large-Scale Benchmark," IEEE T-IP, 2023.  （SCI 一区、CCF A、图像处理顶级期刊）

J. Gao, M. Gong, and X. Li*, "Congested crowd instance localization with dilated convolutional swin transformer," Neurocomputing, 2022. (SCI 二区)

2021

Q Wang, J. Gao, W. Lin, and Y. Yuan, "Pixel-wise crowd understanding via synthetic data", IJCV, 2021. （计算机视觉顶级期刊）

J. Gao, T. Han, Y. Yuan, and Q. Wang, "Domain-Adaptive Crowd Counting via High-Quality Image Translation and Density Reconstruction," IEEE T-NNLS, 2021. （SCI 一区）

Q. Wang, T. Han, J. Gao, and Y. Yuan, "Neuron linear transformation: Modeling the domain shift for crowd counting," IEEE T-NNLS, 2021. （SCI 一区）

S Bai, J. Gao*, Q Wang*, and X Li, "Multi-Domain Synchronous Refinement Network for Unsupervised Cross-Domain Person Re-Identification," IEEE ICME, 2021.

W. Lin, J. Gao, Q. Wang, and X. Li, "Learning to detect anomaly events in crowd scenes from synthetic data", Neurocomputing, 2021. (SCI 二区)

2020

J. Gao, Y. Yuan, and Q. Wang, "Feature-Aware Adaptation and Density Alignment for Crowd Counting in Video Surveillance," IEEE T-CYB, 2020. （SCI 一区）

Q. Wang, J. Gao, W. Lin, X. Li, "NWPU-Crowd: A Large-Scale Benchmark for Crowd Counting and Localization", IEEE T-PAMI, 2020. （ESI高被引论文、SCI 一区、CCF A、人工智能顶级期刊）

T. Han#, J. Gao#, Y. Yuan, and Q. Wang, "Unsupervised Semantic Aggregation and Deformable Template Matching for Semi-Supervised Learning," NeurIPS, 2020. （共同一作、CCF A）

Q. Wang, W. Lin, J. Gao, and X. Li, "Density-Aware Curriculum Learning for Crowd Counting," IEEE T-CYB, 2020. （ESI高被引论文、SCI 一区）

Q. Wang, T. Han, Z. Qin, J. Gao, X. Li, "Multitask attention network for lane detection and fitting", IEEE T-NNLS, 2020. （ESI高被引论文、SCI 一区）

W. Lin, J. Gao, Q. Wang, and X. Li, "Pixel-level self-paced learning for super-resolution," IEEE ICASSP, 2020.

T. Han, J. Gao, Y. Yuan, and Q. Wang, "Focus on semantic consistency for cross-domain crowd understanding," IEEE ICASSP, 2020.

Z. Zhao, T. Han, J. Gao, Q. Wang, and X Li, "A flow base bi-path network for cross-scene video crowd understanding in aerial view," ECCVW, 2020.

2019之前

Q. Wang, J. Gao, and Y. Yuan, "Learning from synthetic data for crowd counting in the wild," IEEE CVPR, 2019. (CCF A、计算机视觉顶级会议)

J. Gao, Y. Yuan, and Q. Wang, "SCAR: Spatial-/channel-wise attention regression networks for crowd counting," Neurocomputing, 2019.

J. Gao, Q. Wang, and X. Li, "Pcc net: Perspective crowd counting via spatial convolutional network," T-CSVT, 2019. （ESI高被引论文、SCI 一区、年度最佳论文候选）

Q. Wang, J. Gao, and X. Li, "Weakly supervised adversarial domain adaptation for semantic segmentation in urban scenes," IEEE T-IP, 2019.  （ESI高被引论文、SCI 一区、CCF A、图像处理顶级期刊）

Q. Wang, J. Gao, and Y. Yuan, "A joint convolutional neural networks and context transfer for street scenes labeling,"  IEEE T-ITS, 2018.  （ESI高被引论文、SCI 一区、智能交通顶级期刊）

Q. Wang, J. Gao, and Y. Yuan, "Embedding  structured contour and location prior in siamesed fully convolutional networks for road detection,"  IEEE T-ITS, 2018.  （ESI高被引论文、SCI 一区、智能交通顶级期刊）

J. Gao, Q. Wang, and Y. Yuan, "Embedding  structured contour and location prior in siamesed fully convolutional networks for road detection,"  IEEE ICRA, 2017.