高永彬
发布时间: 2018-06-15 浏览次数: 5100

姓名

高永彬

性别

职称

副教授

研究方向

视觉SLAM技术、三维视觉分析、自然语言处理、知识图谱、无人机/无人车、智能安防、智慧医疗、智能制造

通讯地址

上海市松江区bob电竞体育平台登录现代交通工程中心7718

邮政编码

201620

联系电话

021-6779-1131

电子邮箱

gaoyongbin@sues.edu.cn

个人简介

高永彬,副教授,上海市晨光学者,上海市人才发展基金资助,bob电竞体育平台登录未来智能研究中心副主任,韩国全北国立大学工学博士。发表论文60余篇,其中包括IEEE Transaction on Image Processing, IEEE TCSVT, IEEE TITS, IEEE IOTJ, ICME等顶级/知名SCI论文30余篇。主持国家级项目/省部级项目6项,并作为主要技术负责人参与国家科技部重大专项1项、国家基金委重点项目2项,上海市科委重点项目2项。2019年获得上海市科技进步二等奖。同时,积极推进产学研合作,与中国商飞上海飞机制造有限公司、上海振华重工集团、上海中山医院、上海长征医院、复旦大学附属眼耳鼻喉医院、南方医科大学珠江医院、上海市肺科医院等进行深入的产学研合作,主要负责5项横向课题

代表性课题

(1) 上海市科委“科技创新行动计划”社会发展科技攻关项目,21DZ1204900,“智能眩晕诊疗全流程数字化平台”,70万,2021.07~2024.6.30,在研,主持。

(2) 上海市地方能力建设项目,21010501500, “汽车领域知识驱动的设备故障诊断与质量检测关键技术及应用”,2021.07~2024.6,60万,在研,主持。

(3) 上海市人才发展基金资助计划,30万,主持。

(4) 工信部卫健委两部门联合5G+医疗健康应用试点项目, “面向医联体的5G+远程诊断系统研发及创新应用示范”, 课题负责人。

(5) 国家自然科学基金青年项目,61802253,“单目多视角深度图估计的三维目标检测与语义重建研究”,25万,2019.01-2021.12,结题,主持。

(6) 上海市教委“晨光人才计划”,17CG59,“单目摄像头中三维目标检测与识别研究”,2018.01~2019.12,在研,主持。

(7) 上海市科委项目子课题, 18411952800,“基于CT影像的胃癌分期数据挖掘应用及其诊治决策智能辅助系统初构研究”,15万,2018.6.30-2021.6.30, 结题,主持。

(8) 上海市教委,上海市数据智能技术及其应用协同创新中心,2500万,在研,技术骨干。

(9) 科技创新2030—“新一代人工智能”重大项目,2020AAA0109300,工业领域知识自动构建与推理决策技术及应用,1815万+5000万,2020.11-2023.10,在研,技术骨干(排名第9)

(10) 科技创新2030—“新一代人工智能”重大项目课题,2020AAA0109302,面向常识与专业知识的知识图谱自动抽取与构建,330万,2020.11-2023.10,在研,课题联系人。

(11) 国家基金委民航联合基金重点项目,U2033218多源数据融合的机场道面关键参数提取和状态评估技术,210万,2021.01.01-2024.12.31,在研,参与(排名第2)

(12) 国家基金委重点项目,61831018,“自主学习的移动互联网视频传输基础理论与方法”,292万,2019.1.1-2023.12.31, 在研,合作单位。

(13) 中国商飞上海飞机制造有限公司,“基于无人机的飞机表面喷漆状态智能检测系统设计与研发”,118.5万,2018.10.10-2019.12.1,结题,技术负责人。

(14) 上海振华重工电气有限公司,“基于计算机视觉与激光融合的目标检测算法开发服务”,50万,2019.6.1-2021.12.1, 在研,技术负责人。

(15) 上海全餐信息技术有限公司,“智慧厨房监控技术开发”,66万,2019.11.15-2020.4.15,在研,主持。

(16) 上海小享网络科技有限公司,DZ-014,“基于机器学习的非侵入式FFR测量系统开发”,项目经费:20万,结题,主持。

代表性论文

(1) Yongbin Gao, Xuebing Liu, Jun Li, Zhijun Fang, Xiaoyan Jiang, Kazi Mohammed Saidul Huq, “LFT-Net: Local Feature Transformer Network for Point Clouds Analysis”, IEEE Transaction on Intelligent transportation systems(TITS), accept, DOI: 10.1109/TITS.2022.3140355, 2021 (SCI, IF:6.492), 中科院1

(2) Fangzheng Tian, Yongbin Gao*, Zhijun Fang, Yuming Fang, Jia Gu, Hamido Fugita, Jenq-Neng Hwang, Depth Estimation Using A Self-Supervised Network based on Cross-layer Feature Fusion and the Quadtree Constraint, IEEE Transaction on Circuits and Systems for Video Technology (TCSVT), early access, DOI: 10.1109/TCSVT.2021.3080928, 2021. (SCI, IF:4.685) CCF-B类,中科院2

(3) Yongbin Gao, Fangzheng Tian, Jun Li, Zhijun Fang, Saba Al-Rubaye, Wei Song, Yier Yan, “Joint Optimization of Depth and Ego-Motion for Intelligent Autonomous Vehicles,” IEEE Transaction on Intelligent transportation systems (TITS), minor,2022 (SCI, IF:6.492), 中科院1

(4) Anjie Wang, Zhijun Fang*, Yongbin Gao*, Songchao Tan, Shanshe Wang, Siwei Ma, Jenq-Neng Hwang, “Adversarial Learning for Joint Optimization of Depth and Ego-Motion”, IEEE Transaction on Image Processing, vol. 29, pp. 4130-4142, 2020. (SCI, IF:10.856) CCF-A类,中科院1

(5) Jun Li, Wei Song, Yongbin Gao*, et.al. “Monocular 3D Object Detection Based on Depth-Guided Local Convolution”, IEEE Internet of Things Journal, accept, DOI: 10.1109/JIOT.2021.3128440, 2021, (SCI, IF:9.515) 中科院1

(6) Yongbin Gao, Hyo Jong Lee, “Pose-invariant features and Personalized Correspondence Learning for Face Recognition,” Neural Computing and Applications, vol. 31, no.1, pp. 607-616, 2019. (SCI, IF: 5.606) CCF推荐

(7) Tian, Fangzheng, Gao, Yongbin*, Fang, Zhijun, Gu Jia. Automatic coronary artery segmentation algorithm based on deep learning and digital image processing. Applied Intelligence (2021). https://doi.org/10.1007/s10489-021-02197-6. (SCI, IF: 5.086) CCF推荐

(8) Renyue Dai, Yongbin Gao*, Zhijun Fang, Xiaoyan Jiang, Anjie Wang, Juan Zhang, Cengsi Zhong, “Unsupervised learning of depth estimation based on attention model and global pose optimization,” Signal Processing: Image Communication, vol. 78, pp. 284-292, 2019. (SCI, IF:3.256) CCF推荐

(9) Yongbin Gao, Hyo Jong Lee, Cross-Pose Face Recognition Based on Multiple Virtual Views and Alignment Error,” vol. 65, pp. 170-176, Nov. 2015, Pattern Recognition Letters. (SCI, IF: 3.756) CCF推荐

(10) Fangzheng Tian, Yongbin Gao*, Zhijun Fang, Jia Gu, Shuqun Yang, “3D reconstruction with auto-selected keyframes based on depth completion correction and pose fusion,” Journal of Visual Communication and Image Representation, vol. 79, 2021. (SCI, IF: 2.678) CCF推荐

(11) Anjie Wang#, Yongbin Gao#, Xiaoyan Jiang, Zhijun Fang*, Shanshe Wang, Siwei Ma, Jenq-Neng Hwang. “Unsupervised learning of depth and ego-motion with spatial-temporal geometric constraints,” IEEE International Conference on Multimedia and Expo (ICME), 2019. (CCF B类会议)

(12) Jiacheng Xu, Zhijun Fang, Yongbin Gao, Siwei Ma, Yaochu Jin, Heng Zhou, Anjie Wang, “Point AE-DCGAN: A deep learning model for 3D point cloud lossy geometry compression,” Data Compression Conference, 2021. (CCF B类会议)

(13) Zhijun Fang, Yongbin Gao, Naixue Xiong, Athanasios V. Vasilakos, Yuming Fang, “A general effective rate control system based on matching measurement and inter-quantizer,” vol. 346-347, pp. 351-368, 2016, Information Sciences. (SCI, IF: 5.91) 1

(14) Heng Zhou, Zhijun Fang*, Yongbin Gao, Bo Huang, Cengsi Zhong, “Feature Fusion Network based on Attention Mechanism for 3D Semantic Segmentation of Point Clouds,” Pattern Recognition Letters, 2020. (SCI, IF:3.255) CCF推荐

(15) Kaiying Zhu, Xiaoyan Jiang, Zhijun Fang, Yongbin Gao, Hamido Fujita, and Jenq-Neng Hwang. Photometric transfer for direct visual odometry. Knowledge-Based Systems (2021): 106671. (SCI, Impact Factor: 5.921) 2

(16) Yi Wu and Xiaoyan Jiang* and Zhijun Fang and Yongbin Gao and Hamido Fujita. Multi-modal 3D Object Detection by 2D-guided Precision Anchor Proposal and Multi-layer Fusion. Applied Soft Computing. 2021. (SCI, IF 5.472) 2

(17) Jingming Zhao, Juan Zhang, Zhi Li, Jenq-Neng Hwang, Yongbin Gao, and Zhijun Fang, “DD-CycleGAN: Unpaired image dehazing via Double-Discriminator Cycle-Consistent Generative Adversarial network,Engineering Applications of Artificial Intelligence (EAAI), vol. 82, pp. 263-271, 2019. (SCI, IF: 4.201) 2

(18) Junxin Lu, Zhijun Fang, Yongbin Gao, Jieyu Chen, “Line-based Visual Odometry using Local Gradient Fitting,” Journal of Visual Communication and Image Representation, 2021. (SCI, IF: 2.479) CCF推荐


Baidu
sogou

bob电竞体育平台登录 - bob竞技官网 - Welcome!