Yangbin Lin
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View article: Building Facade-Completion Network Based on Dynamic Convolutional GAN
Building Facade-Completion Network Based on Dynamic Convolutional GAN Open
Building facade completion is an important part of digitizing the structures of buildings using computer technology. Due to the intricate textures and structures in building facade images, existing image-completion algorithms cannot accura…
View article: Refined Voting and Scene Feature Fusion for 3D Object Detection in Point Clouds
Refined Voting and Scene Feature Fusion for 3D Object Detection in Point Clouds Open
An essential task for 3D visual world understanding is 3D object detection in lidar point clouds. To predict directly bounding box parameters from point clouds, existing voting-based methods use Hough voting to obtain the centroid of each …
View article: Merge-Swap Optimization Framework for Supervoxel Generation from Three-Dimensional Point Clouds
Merge-Swap Optimization Framework for Supervoxel Generation from Three-Dimensional Point Clouds Open
Surpervoxels are becoming increasingly popular in many point cloud processing applications. However, few methods have been devised specifically for generating compact supervoxels from unstructured three-dimensional (3D) point clouds. In th…
View article: Fast Regularity-Constrained Plane Reconstruction
Fast Regularity-Constrained Plane Reconstruction Open
Man-made environments typically comprise planar structures that exhibit numerous geometric relationships, such as parallelism, coplanarity, and orthogonality. Making full use of these relationships can considerably improve the robustness o…
View article: Pruning Blocks for CNN Compression and Acceleration via Online Ensemble Distillation
Pruning Blocks for CNN Compression and Acceleration via Online Ensemble Distillation Open
In this paper, we propose an online ensemble distillation (OED) method to automatically prune blocks/layers of a target network by transferring the knowledge from a strong teacher in an end-to-end manner. To accomplish this, we first intro…
View article: Partial Procedural Geometric Model Fitting for Point Clouds
Partial Procedural Geometric Model Fitting for Point Clouds Open
Geometric model fitting is a fundamental task in computer graphics and computer vision. However, most geometric model fitting methods are unable to fit an arbitrary geometric model (e.g. a surface with holes) to incomplete data, due to tha…
View article: A FAST METHOD FOR MEASURING THE SIMILARITY BETWEEN 3D MODEL AND 3D POINT CLOUD
A FAST METHOD FOR MEASURING THE SIMILARITY BETWEEN 3D MODEL AND 3D POINT CLOUD Open
This paper proposes a fast method for measuring the partial Similarity between 3D Model and 3D point Cloud (SimMC). It is crucial to measure SimMC for many point cloud-related applications such as 3D object retrieval and inverse procedural…
View article: A FAST METHOD FOR MEASURING THE SIMILARITY BETWEEN 3D MODEL AND 3D POINT CLOUD
A FAST METHOD FOR MEASURING THE SIMILARITY BETWEEN 3D MODEL AND 3D POINT CLOUD Open
This paper proposes a fast method for measuring the partial Similarity between 3D Model and 3D point Cloud (SimMC). It is crucial to measure SimMC for many point cloud-related applications such as 3D object retrieval and inverse procedural…