发表论文
（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
