田彦

1
田彦
职务
硕士生导师
教授
电子邮件
电话
18667938516
学位
博士
简历

      

田彦,男,教授、硕士生导师,民盟盟员,美国卡内基梅隆大学与北京邮电大学联合培养博士,浙江大学博士后。主要研究方向为计算机视觉、几何分析、机器学习等。已在IEEE Transactions on ITS、PR、NC等SCI TOP期刊上以第一作者发表十余篇学术论文,其中ESI高被引论文3篇;在UAI等CCF-B高水平学术会议做大会演讲2次;已出版《计算机视觉前沿发展: 目标检测专题》等学术专著;授权20余项国家发明专利和软件著作权,其中多项已经成功成果转化。主持国家自然科学基金(3项)、浙江省自然科学基金等项目10余项。入选“西湖学者拔尖人才”、“浙江省高校领军高层次人才”计划,任中国计算机学会计算机辅助设计与图形学专委会委员、浙江省人工智能协会增强现实分会副秘书长。

2015年起参与研究生和实习生的培养工作,指导硕士研究生在读期间入选新苗人才计划,每个培养的研究生和实习生均发表了高水平科研论文或发明专利,学生毕业时起薪均在20/年以上。具体研究工作和发表论文可搜索个人主页:yaletian

  • 发表论文

Yan Tian, Tao Chen, Guohua Cheng, Shihao Yu, Xi Li, Jianyuan Li, Bailin Yang*, Global Context Assisted Structure-aware Vehicle Retrieval,  IEEE Transactions on Intelligent Transportation Systems, 23(1), 2022: 165-174. (SCI TOP, CCF-B, IF=6.31)

Yan Tian, Yujie Zhang, Huayi Xu, Jianfeng Han, Wei-Gang Chen, Dongsheng Liu, Yiwen Ge, Huiyan Wang*. 3D Tooth Instance Segmentation Learning Objectness and Affinity in Point Cloud. ACM Transactions on Multimedia Computing Communications and Applications, 2022. (CCF-B, IF=3.98)

Wanting Ji, Ruili Wang, Yan Tian, Xun Wang. An attention based dual learning approach for video captioning. Applied Soft Computing. 2022. (SCI Q2, IF=6.72)

Di Zhou, Yan Tian*, Wei-Gang Chen, Gang Huang. Self-Supervised Saliency Estimation for Pixel Embedding in Road DetectionIEEE Signal Processing Letters, 28(8), 2021: 1325-1329. (SCI Q2, IF=3.10)

Yan Tian, Guohua Cheng, Shihao Yu, Judith Gelernter, Chao Song, Bailin Yang*, Joint Temporal Context Exploitation and Active Learning for Video Segmentation, Pattern Recognition, 100, 2020: 107158. (CCF-B, IF=7.19)

Yan Tian, Yujie Zhang, Di Zhou, Guohua Cheng, Wei-Gang Chen, Ruili Wang*, Triple Attention Network for Video Segmentation, Neurocomputing, 2020, 417: 202-211.  (SCI Q2, IF=4.43)

Xun Wang, Yan Tian*,  Xuran Zhao, Tao Yang, Judith Gelernter, Jialei Wang, Guohua Cheng, and Wei Hu, Improving Multiperson Pose Estimation by Mask-aware Deep Reinforcement Learning, ACM Transactions on Multimedia Computing, Communications, and Applications, 16(3), 2020, in press. (CCF-B, IF=3.98)

Guohua Cheng*, Hongli Ji, Yan Tian, Walking on Two Legs: Learning Image Segmentation with Noisy LabelsUncertainty in Artificial Intelligence (UAI), 2020. (CCF-B, 142/515=27.5%) (Oral)

Guohua Cheng*, Jingliang Cheng, Mengyan Luo, Linyang He, Yan Tian, and Ruili Wang, Effective and Efficient Multitask Learning for Brain Tumor Segmentation, Journal of Real-time Image Processing, 2020, 17: 1951-1960. (SCI Q3, IF=1.96)

Zhe Chen, Hongmin Gao, Zhen Zhang, Helen Zhou, Xun Wang*, YanTianUnderwater salient object detection by combining 2D and 3D visual featuresNeurocomputing, 2020, 391: 249-259.  (SCI  Q2, IF=4.43)

Yan Tian, Judith Gelernter, Xun Wang*, Jianyuan Li, and Yizhou Yu, Traffic Sign Detection Using a Multi-Scale Recurrent Attention Network, IEEE Transactions on Intelligent Transportations Systems, 20(12), 2019: 4466-4475. (SCI TOP, CCF-B, IF=6.31)

Yan Tian,  Xun Wang*, Jiachen Wu, RuiliWang, Bailin Yang, Multi-scale Hierarchical Residual Network for Dense Captioning, Journal of Artificial Intelligence Research, 64, 2019: 181-196. (CCF-B, IF=2.44)

Yan Tian*,  Wei Hu, Hangsen Hang, Jiachen Wu*, Densely Connected Attentional Pyramid Residual Network for Human Pose EstimationNeurocomputing, 347, 2019:13-23. (SCI Q2, IF=4.43)

Yan Tian,  Yifan Cao, Wei Hu, Jiachen Wu, Chao Song, Tao Yang*, Multi-cue Combination Network for Action-based Video ClassificationIET Computer Vision, 13(6), 2019: 542-548. (SCI Q4,  IF=1.51)

Bailing Yang, Shulin Sun,  Jianyuan Li,  Xianxuan Lin, and Yan Tian*Traffic Flow Prediction Using LSTM with Feature EnhancementNeurocomputing, 332, 2019: 320-327. (SCI Q2, IF=4.43, ESI highly cited paper)

Wei-Gang Chen, Yuxuan Chen, Xun Wang, Yan Tian, RunYi Yu, A learning-based method for lane detection using regionlet representation,  IET Intelligent Transport Systems, 13(12), 2019: 1745-1753. (SCI Q4,  IF=2.05)

Wanting Ji, Yirui Wu, Xiaozhong Ji, Yan Tian, Helen Zhou, CASR: A Context-aware Residual Network for Single Image Super-ResolutionNeural Computing and Applications, 2019: 1-16. (CCF-C, IF=4.77)

Yan Tian, Kaili Zhang,  Jianyuan Li,  Xianxuan Lin, and Bailing Yang*, LSTM Based Traffic Flow Prediction with Missing Data, Neurocomputing, 318, 2018: 297-305. (SCI Q2, IF=4.43, ESI highly cited paper)

Yan Tian, Judith Gelernter, Xun Wang*, Weigang Chen, Junxiang Gao, Yujie Zhang, and Xiaolan Li, Lane Marking Detection via Deep Convolutional Neural Network, Neurocomputing, 280, 2018: 46-55. (SCI Q2, IF=4.43)

Yan Tian, Huiyan Wang, and Xun Wang*, Object Localization via Evaluation Multi-task Learning, Neurocomputing, 253, 2017: 34-41. (SCI Q2, IF=4.43)

Wei-Gang Chen*, Xun Wang, and Yan Tian, A two-stage algorithm for the early detection of zero-quantized discrete cosine transform coefficients in High Efficiency Video Coding, EURASIP Journal on Image and Video Processing, 2017. (SCI Q4 IF=1.74)

Bailin Yang, Zhaoyi Jiang, Yan Tian, Jiantao Shangguan, Chao Song, Yibo Guo and Minglinang Xu, A Novel Dynamic Mesh Sequence Compression Framework for Progressive StreamingInternational Conference on Virtual Reality and Visualization (ICVRV), 2017: 49-54.

Yan Tian, Gang Huang, Huiyan Wang, and Xun Wang*, Multi-task Network Combing Multi-Level Information for Object Localization, International Conference on Chinagraph 2016, Hangzhou, P.R.China, 2016.

Yan Tian*, Leonid Signal, Fernando de La Torre, and Yonghua Jia, Canonical Locality Preserving Latent Variable Model for Discriminative Pose InferenceImage and Vision Computing, 31(3), 2013: 223-230. (SCI Q3, IF=3.10)

Yan Tian*, Yuan Shi and Yong Liu, “Inferring 3D Body Pose Using Variational Semi-Parametric Regression”, IEEE International Conference on Image Processing (ICIP), Brussels, Belgium, 2011. (Oral)

H Ji*, R Liu, F Su, Z Su, Yan Tian, Robust head pose estimation via convex regularized sparse regression,  IEEE International Conference on Image Processing (ICIP), Brussels, Belgium, 2011.

  • 在审/授权专利(仅列出所有权归浙江工商大学的专利)

徐照程田彦,一种基于多尺度跨图像弱监督学习的违禁物检测方法,专利申请号2021102756403, 申请日2021-03-15

田彦,王勋,王慧燕,华璟,基于集成学习级联分类器的车道线检测方法,授权号201610563188.X,授权日2019-05-14

田彦,王勋,吴佳辰,一种基于多尺度循环注意力网络的交通标识符检测方法,授权号201810360701.4,授权日2020-08-14

徐照程田彦,一种基于自监督学习显著性估计像素嵌入的道路检测方法,申请号202110600086.1,公开日2021-08-12

来锴楠,田彦,基于弱监督学习的域自适应实例分割方法及装置,申请号202210236149.4,申请日2022-03-11

田彦王勋, 吴佳辰,一种基于掩码感知深度强化学习的多人物姿态估计方法,授权号201810968949.9,申请日2020-09-29(已转让)

田彦, 王勋, 蒋杭森,一种结合密集连接注意力金字塔残差网络和等距限制的人体3D姿势估计方法授权号201810362559.7, 授权日2020-08-28 (已转让)

田彦,王勋,黄刚,一种基于多尺度分层残差网络的图像多字幕自动生成方法,专利号201710896059.7,授权日2020-04-28

徐照程,田彦,一种基于跨图注意力机制和代价函数学习的牙模点云分割方法,申请号202111012399.1,申请日2021-08-31

  • 主持/参与项目

国家自然科学基金,61972351,面向口腔医学的视频驱动3D重建及异质信息融合,2020/01-2023/1259万元,在研,主持

国家自然科学基金,62111530300,数据驱动的3D数字化及异质数据分析研究,2022/01-2023/1220万元,在研,主持

国家自然科学基金,61602407,基于数据驱动的移动终端非刚体3D重建,2017/01-2019/1220万元,结项,主持

国家自然科学基金,U1609215,面向移动电子商务的可视体验计算,2017/01-2020/12210万元,结项,参与

国家自然科学基金,61672460,分布式智能摄像机协同的非正常事件检测技术研究,2017/01-2020/1262万元,结项,参与(3/8)

国家自然科学基金,6211101461,显著性和骨架驱动的动态点云流传输机制研究,2022/01-2025/12,万元,在研,参与

国家自然科学基金,61702453,基于对抗式生成网络和用户交互的单目图像深度估计,2018/01-2020/1224万元,结项,参与

教育部国际司,促进与加拿大、澳大利亚、新西兰及拉美地区科研合作与高层次人才培养项目,2020/01-2022/12, 10万元,在研,主持

浙江省自然科学基金,LY19F030005,基于对抗式生成网络的交通场景目标检测,2019/01-2021/129万元,在研,主持

浙江省自然科学基金,LY18F020008,基于深度学习的人体运动识别、解释和预测,2018/01-2020/128万元,在研,参与

省重点研发计划项目,2021C01120,多谱超高清智能视频监控系统关键技术研究及应用,2021/01-2023/12,万元,在研,参与(4/25)

北京航空航天大学虚拟现实与系统国家重点实验室开放课题, VRLAB2020B15,面向口腔医学的视频驱动3D重建, 2020/05-2021/054万元,在研,主持

智能信息处理与实时工业系统湖北省重点实验室,znxx2018MS04,基于注意力机制的多人3D姿势估计,2017/10-2019/102万,结项,主持

浙江大学CAD&CG国家重点实验室开放课题,A1811,面向人机交互的多人3D姿势估计,2018.1-2018.122万元,结项,主持

北京航空航天大学虚拟现实与系统国家重点实验室开放课题, BUAA-VR-16KF-19,基于卷积神经网络的非刚体目标3D重建, 2016/05-2018/054万元,结项,主持

银江股份有限公司,2017ERCITZJ-KF04,基于数据驱动的卡口图像车辆检索研究,2017/09-2018/095万元,结项,主持

银江股份有限公司,2016ERCITZJ-KF02,车辆出行行为画像分析研究,2016/09-2017/095万元,结项,参与