200 citations · 348 across the 10 of their papers we have counts for
10 papers
Fine-grained Text and Image Guided Point Cloud Completion with CLIP Model
Wei Song, Jun Zhou, Mingjie Wang +3
This paper focuses on the recently popular task of point cloud completion guided by multimodal information. Although existing methods have achieved excellent performance by fusing…
ALR-GAN: Adaptive Layout Refinement for Text-to-Image Synthesis
Hongchen Tan, Baocai Yin, Kun Wei +2
We propose a novel Text-to-Image Generation Network, Adaptive Layout Refinement Generative Adversarial Network (ALR-GAN), to adaptively refine the layout of synthesized images with…
OST: Efficient One-stream Network for 3D Single Object Tracking in Point Clouds
Xiantong Zhao, Yinan Han, Shengjing Tian +2
Although recent Siamese network-based trackers have achieved impressive perceptual accuracy for single object tracking in LiDAR point clouds, they usually utilized heavy correlatio…
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…
MHSA-Net: Multi-Head Self-Attention Network for Occluded Person Re-Identification
Hongchen Tan, Xiuping Liu, Baocai Yin +1
This paper presents a novel person re-identification model, named Multi-Head Self-Attention Network (MHSA-Net), to prune unimportant information and capture key local information f…
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…
Concise and Effective Network for 3D Human Modeling from Orthogonal Silhouettes
Bin Liu, Xiuping Liu, Zhixin Yang +1
In this paper, we revisit the problem of 3D human modeling from two orthogonal silhouettes of individuals (i.e., front and side views). Different from our prior work, a supervised…
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)…