Area of research
Computer Vision and Pattern Recognition · Computational Mechanics
Research interest
Research interests include Computer science, Artificial intelligence, Point cloud, Polygon mesh, Convolutional neural network, and Initialization.
Grad-PU: Arbitrary-Scale Point Cloud Upsampling via Gradient Descent with Learned Distance Functions
DeepSFM: Structure from Motion via Deep Bundle Adjustment
Pixel2Mesh: 3D Mesh Model Generation via Image Guided Deformation
Neural Pose Transfer by Spatially Adaptive Instance Normalization
Pixel2Mesh++: Multi-View 3D Mesh Generation via Deformation
Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images
Matterport3D: Learning from RGB-D Data in Indoor Environments
FrameBreak: Dramatic Image Extrapolation by Guided Shift-Maps