单位:西北工业大学
学科领域:人工智能
研究兴趣:视频/图像复原和识别、图像生成
社会任职
[1] SAAI Member. 2022.02.
[2] CMBDA 2022 PC. 2022.02.
[3] CAAI Member. 2022.02.
[4] CAAI 青年工作委员会成员. 2022.02.
[5] 江苏省人工智能学会CCF/CSIG-MV专委会成员. 2022.02.
[6] BAAI-清源会成员. 2022.02.
[7] 学报专家组成员. 2022.02.
个人简介
田春伟,西北工业大学软件学院副教授,博士生导师。空天地海一体化大数据应用技术国家工程实验室成员。博士毕业于哈尔滨工业大学,香港城市大学Research Fellow,西北工业大学博士后。省级人才、西工大翱翔新星。研究方向为视频/图像复原和识别、图像生成等。在IEEE Trans汇刊、Pattern Recognition、Neural Networks、Information Fusion 和 ICASSP 等国际期刊/会议上发表论文70余篇。2024年度中国图象图形学学会自然科学奖,出版专著1本,教材1本。其中,6篇ESI高被引论文(3篇热点论文)、4篇Top期刊封面论文、5篇国际超分辨领域Benchmark List 论文、1篇论文技术被美国医学影像公司购买商用应用到 CT 机上、1 篇论文技术应用苹果手机上等。获得国际模式识别领域Top期刊Pattern Recognition最佳论文奖。担任 CAAI Transaction on Intelligence Technology, IEEE TFS、IEEE TCE等多个 SCI 期刊编委/客座编辑。
学术贡献
1.Search region updating with hierarchical feature fusion for accurate thermal infrared tracking
2.Hierarchical Attention Siamese Network for Thermal Infrared Target Tracking
3.A Systematic Survey of Transformer-Based 3D Object Detection for Autonomous Driving: Methods, Challenges and Trends
4.Efficient image denoising with heterogeneous kernel-based CNN
5.Image super‐resolution via dynamic network
6.Human-centered robot vision and artificial perception
7.Heterogeneous window Transformer for image denoising
8.An Enhanced GAN for Image Generation
9.A self-supervised network for image denoising and watermark removal
10.A self-supervised CNN for image watermark removal
11.Exploiting Memory-based Cross-Image Contexts for Salient Object Detection in Optical Remote Sensing Images
12.Efficient feature redundancy reduction for image denoising
13.A Heterogeneous Dynamic Convolutional Neural Network for Image Super-resolution
14.A cross Transformer for image denoising
15.Texture-guided CNN for image denoising
16.Perceptive self-supervised learning network for noisy image watermark removal
17.Graph Convolutional Network for Image Restoration: A Survey
18.A heterogeneous group CNN for image super-resolution
19.多级双树复小波网络用于低剂量 CT 图像去噪
20.Defort: Deformable Transformer for Visual Tracking
21.Knowledge distillation with fast CNN for license plate detection
22.Lightweight Image Denoising Network for Multimedia Teaching System
23.Progressive Context-aware Dynamic Network for Salient Object Detection in Optical Remote Sensing Images
24.Reform of Talent Cultivation Based on Deep Learning Technology
25.School and Enterprise Cooperation Based on Artificial Intelligence Technology
26.Motion Context guided Edge-preserving network for video salient object detection
27.Bidirectional mutual guidance transformer for salient object detection in optical remote sensing images
28.A Distributed Computation Model Based on Federated Learning Integrates Heterogeneous models and Consortium Blockchain for Solving Time-Varying Problems
29.Advances in Image Enhancement
30.A parallel and serial denoising network
31.Multi-stage image denoising with the wavelet transform
32.An improved u-net for watermark removal
33.Transformer-based cross reference network for video salient object detection
34.Image Super-resolution with An Enhanced Group Convolutional Neural Network
35.Generative adversarial networks for image super-resolution: A survey
36.A Hybrid CNN for Image Denoising
37.A Dual CNN for Image Super-Resolution
38.A Serial Attention Frame for Multi-Label Waste Bottle Classification
39.Deep multigraph hierarchical enhanced semantic representation for cross-modal retrieval
40.A Diffusion Model with A FFT for lmage Inpainting
41.A robust deformed convolutional neural network (CNN) for image denoising
42.Attention-based CNNs for Image Classification: A Survey
43.Joint multi-feature learning for facial age estimation
44.An unsupervised neural network for image denoising
45.Enhancing discoveries of molecular QTL studies with small sample size using summary statistic imputation
46.Designing and training of a dual CNN for image denoising
47.Design and implementation on matching between music and color
48.Jointly learning multi-instance hand-based biometric descriptor
49.Scalable discriminative discrete hashing for large-scale cross-modal retrieval
50.Asymmetric CNN for image superresolution
51.Jointly heterogeneous palmprint discriminant feature learning
52.Coarse-to-fine CNN for image super-resolution
53.Lightweight image super-resolution with enhanced CNN
54.Deep learning on image denoising: An overview
55.Jointly Learning Compact Multi-instance FKP Descriptor
56.Joint Learning Multiple Curvature Descriptor for 3D Palmprint Recognition
57.Attention-guided CNN for image denoising
[1] 申请发明专利(申请). 一种**图像去噪方法. 2022.05. 胡雨轩,田春伟,张师超, 章成源
[2] 发明专利(申请). 基于增强**的图像盲去噪方法. 2022.01. 田春伟,郑梦华,张璇昱等
[3] 发明专利(202210032943.7(受理)). 一种基于孪生**图像去噪方法、系统、介质及设备. 2022.01. 田春伟,马英鹏,张璇昱,张艳宁
[4] 发明专利(202210163285.5.(受理)). 一种基于物联网监测的火灾风险动态评估的方法及系统. 2022.01. 田春伟,徐勇
[5] 发明专利(202111039510.6 (受理)). 一种基于可变形卷积神经网络的图像去噪方法. 2021.08. 肖景钰、田春伟、章成源、 张师超
[6] 发明专利(202111112423.9(受理)). 一种去噪模型及其建立方法及装置、图像去噪方法及装置. 2021.08. 田春伟、袁奕萱
[7] 发明专利(CN201810803674.3(授权)). 基于增强的神经网络的图像复原方法、存储介质及系统. 2021.07. 田春伟、徐勇
[8] 发明专利(CN201810063893.2(授权)). 一种基于神经网络的图像去噪方法和系统. 2021.07. 田春伟、徐勇
[9] 发明专利(CN201811338660.5(实审阶段)). 基于深度学习的图像去噪方法、装置、设备和存储介质. 2019.04. 田春伟、徐勇、 文杰、吴坚、 刘川意
工作经历
西北工业大学
教育经历