from the bits
Postdoctoral Research Fellow
Yangyan Li has been a postdoctoral research fellow in Stanford University under supervision of Prof. Leonidas J. Guibas and Tel Aviv University under supervision of Prof. Daniel Cohen-Or since 2013. Before that, Yangyan received his PhD degree from University of the Chinese Academy of Sciences under supervision of Prof. Baoquan Chen. His primary research interests fall in the field of Computer Graphics and Computer Vision with an emphasis on point cloud processing and data-driven 3D reconstruction.
FPNN: Field Probing Neural Networks for 3D Data
A Holistic Approach for Data-Driven Object Cutout
Synthesizing Training Images for Boosting Human 3D Pose Estimation
Knowledge-Based Trajectory Completion from Sparse GPS Samples
Joint Embeddings of Shapes and Images via CNN Image Purification
Render for CNN: Viewpoint Estimation in Images Using CNNs Trained with Rendered 3D Model Views
Activity-centric Scene Synthesis for Functional 3D Scene Modeling
Database-Assisted Object Retrieval for Real-Time 3D Reconstruction
A Tool-Free Calibration Method for Turntable-based 3D Scanning Systems
Estimating Depth in Images using Shape Collections
Point Cloud based 3D Reconstruction and Morphological Event Analysis
Yangyan Li, PhD Thesis, University of Chinese Academy of Sciences, 2013.