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个人简介
高君宇：副教授
学术主页：[谷歌学术] | [Github] | [Github Page]
研究方向：多模态认知计算、跨域遥感
联系地址：陕西省西安市碑林区友谊西路127号西北工业大学64信箱
邮政编码：710072
电子邮箱：gjy3035 AT gmail DOT com
综合介绍
长期关注于像素级图像理解与分析的理论研究和面向临地安防场景的数据分析工程应用，学术能力与工程实践能力兼备。发表高水平论文30余篇，包含TPAMI/IJCV等顶级期刊和CVPR/NeurIPS等顶级会议论文，ESI高被引论文7篇，谷歌学术总被引2700+。开源了目标计数领域内最为流行的代码框架，开发了领域内第一个在线算法评测平台，Github 代码仓库收藏数3000+。主持国家自然科学基金青年项目、科技部科技创新2030重大项目子课题（本单位负责人）、国家级博士后基金2项。
目前还有少量考研名额，欢迎具有自我驱动力的同学通过邮件（gjy3035 AT mail DOT nwpu DOT edu DOT cn）联系具体事宜，并附上个人简历。
教育背景
| 2018-2021 | 西北工业大学 | 计算机科学与技术 | 博士 |
| 2015-2018 | 西北工业大学 | 计算机科学与技术 | 硕士 |
| 2011-2015 | 西北工业大学 | 计算机科学与技术 | 学士 |
工作经历
| 2021至今 | 西北工业大学 | 特聘学者 |
| 2021至今 | 西安电子科技大学 | 师资博士后 |
获奖信息
2022 中国航空学会科学技术奖 科技进步奖 一等奖
2021 IEEE T-CSVT （中科院一区） 年度最佳论文提名
2021 陕西省优秀毕业生
2021 NeurIPS 杰出审稿人
2020 ECCV （CCF-B类、CV三大顶会之一）VisDrone Challenge 亚军、荣誉提名
科研项目
2024 国家自然科学基金青年项目 主持
2023 科技部科技创新2030—重大项目 子课题负责人
2021 中国博士后科学基金特别资助 主持
2021 中国博士后科学基金面上资助 主持
近期论文（2023年度）
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.
以往论文
点击展开
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.
学术活动
长期担任计算机视觉、机器学习、人工智能领域顶级会议审稿人、程序委员会委员：
CVPR'20-'24、ICCV'23、ECCV'20-'22...
NeurIPS'20-'23、ICML'22-'23、ICLR'22-'24 ...
AAAI、IJCAI、BMVC、WACV、ACCV、ITSC、ICASSP ...并长期担任顶级期刊审稿人：
IEEE T-PAMI、T-IP、T-NNLS、T-CYB、T-CSVT、T-GRS、T-ITS、TII ...
IJCV、CVIU、PR、SPL、Neurocomputing、Cognitive Computation ...
其他信息
每年招收硕士若干（目前还有考研名额），欢迎具有自我驱动力的同学通过邮件（gjy3035 AT mail DOT nwpu DOT edu DOT cn）联系具体事宜，并附上个人简历。