胡占义
近期热点
资料介绍
个人简历
教育背景1986-12--1993-02 比利时列日大学 比利时国家博士1981-09--1985-07 北方工业大学 工学学士学历1981.9--1985.6, 北方工业大学自动化系读学士。1985.9--1986.5,四川外语学院学法语1986.12-1993.02 ,比利时列日大学读博士。于1993年一月获比利时国家博士学位出国学习工作1986.12-1993.02, 比利时列日大学读博士工作简历1997-05~1998-05,香港中文大学, 合作研究1993-02~2017-12,中国科学院自动化研究所, 研究员,博士教授课程计算机视觉计算机视觉 II 奖励信息(1) 视觉计算理论和算法研究, 二等奖, 国家级, 2004(2) 视觉计算理论与算法研究, 二等奖, 部委级, 2000专利成果( 1 ) XXX, 发明, 2012, 第 1 作者, 专利号: 请从http://vision.ia.ac.cn了解详细情况发表著作(1) 请从http://vision.ia.ac.cn了解详细情况, XXX, XXX, 2012-06, 第 2 作者科研项目( 1 ) 机器人三维环境感知, 主持, 国家级, 2015-01--2020-12( 2 ) 三维场景理解中的高阶能量优化理论与方法研究, 主持, 国家级, 2014-01--2018-12( 3 ) 视觉腹部通道建模和表达一致性研究, 主持, 国家级, 2018-01--2022-12( 4 ) P3P问题多解之间的伴随出现现象研究, 主持, 国家级, 2019-01--2022-12( 5 ) SAR图像视觉三维认知理论与方法, 主持, 国家级, 2020-01--2024-12参与会议(1)XXX 请从http://vision.ia.ac.cn了解详细情况 XXX 2012-06-27研究领域
计算机视觉"专业:模式识别与智能系统"近期论文
(1) Two-View Line Segment Reconstruction Based on Structure Priors, SCIENCE CHINA Information Sciences, 2020, 第 3 作者(2) 3D Scanning of High Dynamic Scenes Using an RGB-D Sensor and an IMU on a Mobile Device, IEEE Access, 2019, 第 3 作者(3) Ground and aerial meta-data integration for localization and reconstruction: A review, Pattern Recognition Letters, 2019, 第 3 作者(4) Effective Piecewise Planar Modeling Based on Sparse 3D Points and Convolutional Neural Network, Neurocomputing, 2019, 第 3 作者(5) Complete Scene Reconstruction by Merging Images and Laser Scans, IEEE Transactions on Circuits and Systems for Video Technology, 2019, 第 6 作者(6) Zero-shot learning from Adversarial feature residual to compact visual feature, AAAI conference, 2019, 第 3 作者(7) Active Semantic Labeling of Street View Point Clouds, International Conference on Multimedia and Expo, ICME 2019, 2019, 第 3 作者(8) Visual-Inertial Odometry Tightly Coupled with Wheel Encoder Adopting Robust Initialization and Online Extrinsic Calibration, IROS, 2019, 2019, 第 3 作者(9) Learning Depth from Single Images with Deep Neural Network Embedding Focal Length, IEEE Transactions on Image Processing,Vol.27,No.29, pp.4676-4689, 2018, 通讯作者(10) Geometrically Stable Tracking for Depth Images Based 3D Reconstruction on Mobile Devices, ISPRS Journal of Photogrammetry and Remote Sensing, Vol.143, pp.222-232, 2018, 2018, 第 3 作者(11) Ancient Chinese Architecture 3D Preservation by Merging Ground and Aerial Point Clouds, ISPRS Journal of Photogrammetry and Remote Sensing, Vol.143, pp.72-84, 2018, 2018, 第 6 作者(12) Commentary: Using goal-driven deep learning models to understand sensory cortex, Frontiers in Computational Neuroscience, 19 January 2018, 2018, 通讯作者(13) Learning Stratified 3D Scene Reconstruction, Science China: Information Sciences, Vol.61, Feb., 2018, 通讯作者(14) Statistics of Visual Responses to Object Stimuli from Primate AIT Neurons to DNN Neurons, Neural Computation 30:447-476, 2018, 2018, 通讯作者(15) Large Scale Urban Scene Modeling from MVS Meshes, ECCV 2018, 2018, 第 4 作者(16) Fine-Level Semantic Labeling of Large-Scale 3D Model by Active Learning., 3DV2018, 2018, 第 3 作者(17) Dynamic Graph Cuts in Parallel, IEEE Transactions on Image Processing, Vol.26, No.8, pp. 3775-3788, 2017, 2017, 通讯作者(18) Comparison of IT Neural Response Statistics with Simulations, Frontiers in Computational Neuroscience,July 11, 2017, 通讯作者(19) Tracks Selection for Robust, Efficient and Scalable Large-Scale Structure from Motion, Pattern Recognition, Vol.72, pp. 341-354 2017, 2017, 第 3 作者(20) Accurate and efficient ground-to-aerial model alignment, Pattern Recognition, 76(4): 288-302, 2018, 2017, 第 5 作者(21) Two-Stream Deep Correlation Network for Frontal Face Recovery, IEEE Signal Processing Letters,Vol. 24, No.10,pp 1478 – 1482,2017, 2017, 第 4 作者(22) Semantic labeling of High Resolution Aerial Images Using an Ensemble of Fully Convolutional Networks, the Journal of Applied Remote Sensing, Dec. 2017://DOI: 10.1117/1.JRS.11.042617, 2017, 第 4 作者(23) High-Resolution Remote Sensing Data Classification over Urban Areas Using Random Forest Ensemble and Fully Connected Conditional Random Field, ISPRS International Journal of Geo-Information, 6(8), 245, 2017, 2017, 第 4 作者(24) Modern Physiognomy: An Investigation on the Prediction on the Personality Traits and the Intelligence from the Human Face, Science China: Information Sciences, Vol.61, May, 2017, 通讯作者(25) Physiognomy: Personality Traits Prediction by Learning,14(4):371-385,2017, International Journal of Automation and Computing, 2017, 第 4 作者(26) HSfM: Hybrid Structure-from-Motio, CVPR2017,July 21 – 26, Honolulu, Hawaii , USA,pp: 2393-2402, 2017, 2017, 第 3 作者(27) Accurate Mesh-based Alignment for Ground and Aerial Multi-view Stereo Models, IEEE International Conference on Image Processing, Sept.17-20 , Beijing, China, pp: 2627-2631. 2017, 2017, 第 4 作者(28) CSfM: Community-based Structure from Motion, IEEE International Conference on Image Processing, Sept.17-20 , Beijing, China, pp: 4517-4521, 2017, 2017, 第 4 作者(29) Batched Incremental Structure-from-Motion, International Conference on 3D vision( 3DV 2017), October 10-12 Qingdao, China, pp: 205-214, 2017, 2017, 第 4 作者(30) Variational Building Modeling from Urban MVS Meshes., International Conference on 3D vision (3DV 2017), October 10-12 Qingdao, China, pp: 318-326, 2017, 2017, 第 4 作者(31) 2017年以前的文章,请从http://vision.ia.ac.cn了解详细情况, IEEE 系列, 2016, 第 2 作者2014-12-31-2020-08-30,国科大岗位教授,2009-12-31-2020-11-30,《计算机辅助设计与图形学》, 副主编 相关热点
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