Personal Profile

Dr. Guan Tao, professor, supervisor of doctoral candidates,graduated from Huazhong University of Science and Technology with a doctorate degree in Communication and Information System in 2008. In 2010, he joined the Digital Media Lab of the School of Computer and Technology of Huazhong University of Science and Technology to engage in teaching and research. He has been engaged in researches concerning computer vision and computer simulation research for a long time. His main research interests include automatic 3D modeling and understanding technology based on images (sparse and dense reconstruction, grid generation and optimization, scene content understanding, etc.), augmented and virtual reality, and simulation support platform. He has published over 20 high-level papers in IEEE/ ACM Trans, ICCV, CVPR, ECCV and other journals and conferences.

Professional Experience

2004.9 - 2008.7

Huazhong University of Science and Technology Doctoral degree - Postgraduate (Doctoral)

Courses Taught

Awards and Honors

Selected Projects Funded

[1] 2018.1-2020.12, Research on Software Design Technology for Augmented Reality Core Algorithm, pre-research plan

[2] 2017.1-2018.12, 3D Modeling and Automatic Registration Technology for Augmented Reality, horizontal  project.

[3] 2017.5-2018.12, Multivariate Data Fusion 3D Modeling Technology, horizontal project

[4] 2016.1-2017.12, UAV Autonomous and Technology, horizontal project

[5] 2016.1-2016.5, 3D Point Cloud Processing and Modeling Technology, horizontal project

[6] 2016.1-2016.10, GIS System Design, horizontal project

[7] 2015.5-2015.6, 3D Reconstruction Software Design, horizontal project

[8] 2015-2016, Spatial-temporal Integrated Modeling and Analysis Technology of Earthquake Disaster Based on UAV Images, National Public Welfare Industry Research Project

[9] 2015-2016, Simulation 3D Modeling Technology, horizontal project.

[10] 2013.6-2015.6, Simulation Key Technology Research Based on Augmented Reality, pre-research fund

[11] 2013.6-2014.6, Research on Key Technologies of Mobile Visual Positioning, Independent Innovation Fund

[12] 2013.1-2016.12, Research on Key Technologies of Mobile Augmented Reality Large-scale Positioning and Tracking, NSFC.

[13] 2012.6-2014.6, Research on Key Technologies of Environment Construction Based on technology, pre-research fund

[14] 2011-2015, Virtual Environment Simulation Platform, 'Twelfth Five-Year Plan Period' Pre-research Plan

[15] 2010-2012, Research on Augmented Reality Geometric Consistency Recovery Method, General Project of China Postdoctoral Science Foundation

Selected Publications

Conference papers：

[1] Adversarial Style Mining for One-Shot Unsupervised Domain Adaptation. NeurIPS 2020（CCF A）

[2] Mesh-Guided Multi-View Stereo with Pyramid Architecture. CVPR 2020（CCF A）

[3] Attention-Aware Multi-View Stereo. CVPR 2020（CCF A）

[4] P-MVSNet: Learning Patch-wise Matching Confidence Aggregation for Multi-View Stereo. ICCV 2019（CCF A）

[5] Significance-aware Information Bottleneck for Domain Adaptive Semantic Segmentation. ICCV 2019（CCF A）

[6] Taking A Closer Look at Domain Shift:Category-level Adversaries for Semantics Consistent Domain Adaptation. CVPR 2019（CCF A，oral）

[7] Macro-Micro Adversarial Network for Human Parsing. ECCV 2018(CCF B)

[8] Interactive on-device Mobile Landmark Recognition With Compact Binary Codes. ICASSP 2015(CCF B)

Journal papers：

[9] Category-Level Adversarial Adaptation for Semantic Segmentation using Purified Features. IEEE Transactions on Pattern Analysis and Machine Intelligence 2021

[10] DeepFusion: A simple way to improve traditional multi-view stereo methods using deep learning. Knowledge-Based Systems 2021

[11] A visibility-based surface reconstruction method on the GPU. Computer Aided Geometric Design 2021 (CCF B)

[12] On-Device Mobile Landmark Recognition Using Binarized Descriptor with Multi-Feature Fusion. ACM Transactions on Intelligent Systems and Technology 2015

[13] Projected Residual Vector Quantization for ANN Search. IEEE Multimedia Magazine 2014

[14] Efficient Bag-of-Features Generation and Compression for On-DeviceMobile Visual Location Recognition. IEEE Multimedia Magazine 2014.

[15] On-Device Mobile Visual Location Recognition by Integrating Visionand Inertial Sensors. IEEE Transactions on Multimedia 2013 (CCF B)

[16] Real Time Camera Pose Estimation for Wide Area Augmented RealityApplications. IEEE Computer Graphics and Applications 2011.

[17] Registration Based on Scene Recognition and Natural FeaturesTracking Techniques for Wide-area Augmented Reality Systems. IEEE Transactions on Multimedia 2009 (CCF B)

Professional Affiliations

Research Group

Enrollment Information

Personal Homepage