5 citations · 10 across the 4 of their papers we have counts for
5 papers
DR-GAN: Distribution Regularization for Text-to-Image Generation
Hongchen Tan, Xiuping Liu, Baocai Yin +1
This paper presents a new Text-to-Image generation model, named Distribution Regularization Generative Adversarial Network (DR-GAN), to generate images from text descriptions from…
Improvement of Normal Estimation for PointClouds via Simplifying Surface Fitting
Jun Zhou, Wei Jin, Mingjie Wang +3
With the burst development of neural networks in recent years, the task of normal estimation has once again become a concern. By introducing the neural networks to classic methods…
Fast and Accurate Normal Estimation for Point Cloud via Patch Stitching
Jun Zhou, Wei Jin, Mingjie Wang +3
This paper presents an effective normal estimation method adopting multi-patch stitching for an unstructured point cloud. The majority of learning-based approaches encode a local p…
Incomplete Descriptor Mining with Elastic Loss for Person Re-Identification
Hongchen Tan, Yuhao Bian, Huasheng Wang +2
In this paper, we propose a novel person Re-ID model, Consecutive Batch DropBlock Network (CBDB-Net), to capture the attentive and robust person descriptor for the person Re-ID tas…
Normal Estimation for 3D Point Clouds via Local Plane Constraint and Multi-scale Selection
Jun Zhou, Hua Huang, Bin Liu +1
In this paper, we propose a normal estimation method for unstructured 3D point clouds. In this method, a feature constraint mechanism called Local Plane Features Constraint (LPFC)…