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ORCIDYuan Gao 0008
Person information
- affiliation (PhD 2019): University of Kiel, Department of Computer Science, Germany
- affiliation (former): Peking University, Shenzhen Graduate School, MOE, Key Laboratory of Machine Perception, China
Other persons with the same name
- Yuan Gao — disambiguation page
- Yuan Gao 0001 — University of Western Ontario, London, ON, Canada
- Yuan Gao 0002
![[0000-0001-8565-1790]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-8565-1790")
— Southern University of Science and Technology, School of Microelectronics, Shenzhen, China (and 1 more) - Yuan Gao 0003 — Tsinghua University, State Key Laboratory on Microwave and Digital Communications, Beijing, China
- Yuan Gao 0004 — Fudan University, School of Mathematical Sciences, Shanghai, China (and 1 more)
- Yuan Gao 0005 — Missouri University of Science and Technology, Department of Electrical and Computer Engineering, Rolla, MO, USA
- Yuan Gao 0006 — University of Duisburg-Essen, Institute of Digital Signal Processing, Duisburg, Germany
- Yuan Gao 0007 — Hohai University, College of Internet of Things Engineering, Changzhou, China
- Yuan Gao 0009 — Chinese Academy of Sciences, Institute of Automation, CAS Key Laboratory of Molecular Imaging, Beijing, China
- Yuan Gao 0010 — IMT School for Advanced Studies Lucca, Italy
- Yuan Gao 0011 — Agency for Science, Technology and Research (A*STAR), Institute of Microelectronics, Singapore
- Yuan Gao 0012 — Shanghai Jiao Tong University, China
- Yuan Gao 0013 — Shanghai University, School of Communication and Information Engineering, China (and 1 more)
- Yuan Gao 0014 — University of Melbourne, Parkville, Victoria, Australia
- Yuan Gao 0015 — Tencent AI Lab, Shenzhen, China (and 1 more)
- Yuan Gao 0016 — Northeastern University, College of Information Science and Engineering, Shenyang, China
- Yuan Gao 0017 — University of Oxford, Biomedical Image Analysis Group, UK
- Yuan Gao 0018 — University of Massachusetts Lowell, MA, USA
- Yuan Gao 0019 — Xidian University, Key Laboratory of Collaborative Intelligence Systems, Ministry of Education, China (and 2 more)
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Books and Theses
- 2020
[b1]Yuan Gao:
Large-Scale Light Field Capture and Reconstruction. University of Kiel, Germany, 2020
Journal Articles
- 2024
- [j11]Xinshun Wang, Wanying Zhang, Can Wang, Yuan Gao, Mengyuan Liu:
Dynamic Dense Graph Convolutional Network for Skeleton-Based Human Motion Prediction. IEEE Trans. Image Process. 33: 1-15 (2024) - [j10]Jinfu Liu, Xinshun Wang, Can Wang, Yuan Gao, Mengyuan Liu:
Temporal Decoupling Graph Convolutional Network for Skeleton-Based Gesture Recognition. IEEE Trans. Multim. 26: 811-823 (2024) - 2020
- [j9]Yuan Gao, Robert Bregovic, Atanas P. Gotchev:
Self-Supervised Light Field Reconstruction Using Shearlet Transform and Cycle Consistency. IEEE Signal Process. Lett. 27: 1425-1429 (2020) - 2017
- [j8]Pingping Wu, Hong Liu, Chao Xu, Yuan Gao, Zheyuan Li, Xuewu Zhang:
How do you smile? Towards a comprehensive smile analysis system. Neurocomputing 235: 245-254 (2017) - [j7]Pingping Wu, Hong Liu, Xuewu Zhang, Yuan Gao:
Spontaneous versus posed smile recognition via region-specific texture descriptor and geometric facial dynamics. Frontiers Inf. Technol. Electron. Eng. 18(7): 955-967 (2017) - 2016
- [j6]Hong Liu, Hao Tang, Wei Xiao, ZiYi Guo, Lu Tian, Yuan Gao:
Sequential Bag-of-Words model for human action classification. CAAI Trans. Intell. Technol. 1(2): 125-136 (2016) - [j5]Hong Liu, Can Wang, Yuan Gao:
Scene-adaptive hierarchical data association and depth-invariant part-based appearance model for indoor multiple objects tracking. CAAI Trans. Intell. Technol. 1(3): 210-224 (2016) - [j4]Yuan Gao, Hong Liu, Pingping Wu, Can Wang:
A new descriptor of gradients Self-Similarity for smile detection in unconstrained scenarios. Neurocomputing 174: 1077-1086 (2016) - [j3]Yuan Gao, Hong Liu, Xiaohu Sun, Can Wang, Yi Liu:
Violence detection using Oriented VIolent Flows. Image Vis. Comput. 48-49: 37-41 (2016) - 2015
- [j2]Yuan Gao, Miaojing Shi, Dacheng Tao, Chao Xu:
Database Saliency for Fast Image Retrieval. IEEE Trans. Multim. 17(3): 359-369 (2015) - 2014
- [j1]Can Wang, Hong Liu, Yuan Gao:
Scene-Adaptive Hierarchical Data Association for Multiple Objects Tracking. IEEE Signal Process. Lett. 21(6): 697-701 (2014)
Conference and Workshop Papers
- 2019
- [c12]Yuan Gao, Reinhard Koch, Robert Bregovic, Atanas P. Gotchev:
IEST: Interpolation-Enhanced Shearlet Transform for Light Field Reconstruction Using Adaptive Separable Convolution. EUSIPCO 2019: 1-5 - [c11]Yuan Gao, Reinhard Koch, Robert Bregovic, Atanas P. Gotchev:
Fast: Flow-Assisted Shearlet Transform for Densely-Sampled Light Field Reconstruction. ICIP 2019: 3741-3745 - [c10]Yuan Gao, Robert Bregovic, Atanas P. Gotchev, Reinhard Koch:
MAST: Mask-Accelerated Shearlet Transform for Densely-Sampled Light Field Reconstruction. ICME 2019: 187-192 - [c9]Yuan Gao, Reinhard Koch, Robert Bregovic, Atanas P. Gotchev:
Light Field Reconstruction Using Shearlet Transform in TensorFlow. ICME Workshops 2019: 612 - 2018
- [c8]Yuan Gao, Tim Michels, Reinhard Koch:
A Novel Kinect V2 Registration Method Using Color and Deep Geometry Descriptors. EUSIPCO 2018: 201-205 - [c7]Yuan Gao, Reinhard Koch:
Parallax View Generation for Static Scenes Using Parallax-Interpolation Adaptive Separable Convolution. ICME Workshops 2018: 1-4 - 2017
- [c6]Yuan Gao, Sandro Esquivel, Reinhard Koch, Joachim Keinert:
A Novel Self-Calibration Method for a Stereo-ToF System Using a Kinect V2 and Two 4K GoPro Cameras. 3DV 2017: 21-28 - [c5]Yuan Gao, Sandro Esquivel, Reinhard Koch, Matthias Ziegler, Frederik Zilly, Joachim Keinert:
A novel kinect V2 registration method for large-displacement environments using camera and scene constraints. ICIP 2017: 997-1001 - [c4]Yuan Gao, Matthias Ziegler, Frederik Zilly, Sandro Esquivel, Reinhard Koch:
A linear method for recovering the depth of Ultra HD cameras using a kinect V2 sensor. MVA 2017: 494-497 - 2014
- [c3]Chao Xu, Yuan Gao, Miaojing Shi:
Saliency oriented object image re-ranking. ICECS 2014: 371-374 - [c2]Hong Liu, Yuan Gao, Pingping Wu:
Smile detection in unconstrained scenarios using self-similarity of gradients features. ICIP 2014: 1455-1459 - [c1]Hong Liu, Yuan Gao, Can Wang:
Gender identification in unconstrained scenarios using Self-Similarity of Gradients features. ICIP 2014: 5911-5915
Informal and Other Publications
- 2023
- [i3]Xinshun Wang, Wanying Zhang, Can Wang, Yuan Gao, Mengyuan Liu:
Dynamic Dense Graph Convolutional Network for Skeleton-based Human Motion Prediction. CoRR abs/2311.17408 (2023) - 2020
- [i2]Yuan Gao, Robert Bregovic, Reinhard Koch, Atanas P. Gotchev:
DRST: Deep Residual Shearlet Transform for Densely Sampled Light Field Reconstruction. CoRR abs/2003.08865 (2020) - [i1]Yuan Gao, Robert Bregovic, Atanas P. Gotchev:
Self-Supervised Light Field Reconstruction Using Shearlet Transform and Cycle Consistency. CoRR abs/2003.09294 (2020)
Coauthor Index
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