Search Results for author: Chenqiang Gao

Found 10 papers, 0 papers with code

Infrared Small-Dim Target Detection with Transformer under Complex Backgrounds

no code implementations29 Sep 2021 Fangcen Liu, Chenqiang Gao, Fang Chen, Deyu Meng, WangMeng Zuo, Xinbo Gao

To this end, we propose a new infrared small-dim target detection method with the transformer.

Local Patch Network with Global Attention for Infrared Small Target Detection

no code implementations13 Aug 2021 Fang Chen, Chenqiang Gao, Fangcen Liu, Yue Zhao, Yuxi Zhou, Deyu Meng, WangMeng Zuo

A local patch network (LPNet) with global attention is proposed in this paper to detect small targets by jointly considering the global and local properties of infrared small target images.

Semantic Segmentation

TSGCNet: Discriminative Geometric Feature Learning With Two-Stream Graph Convolutional Network for 3D Dental Model Segmentation

no code implementations CVPR 2021 Lingming Zhang, Yue Zhao, Deyu Meng, Zhiming Cui, Chenqiang Gao, Xinbo Gao, Chunfeng Lian, Dinggang Shen

State-of-the-art methods directly concatenate the raw attributes of 3D inputs, namely coordinates and normal vectors of mesh cells, to train a single-stream network for fully-automated tooth segmentation.

Graph Learning

TSGCNet: Discriminative Geometric Feature Learning with Two-Stream GraphConvolutional Network for 3D Dental Model Segmentation

no code implementations26 Dec 2020 Lingming Zhang, Yue Zhao, Deyu Meng, Zhiming Cui, Chenqiang Gao, Xinbo Gao, Chunfeng Lian, Dinggang Shen

State-of-the-art methods directly concatenate the raw attributes of 3D inputs, namely coordinates and normal vectors of mesh cells, to train a single-stream network for fully-automated tooth segmentation.

Graph Learning

Video Rain/Snow Removal by Transformed Online Multiscale Convolutional Sparse Coding

no code implementations13 Sep 2019 Minghan Li, Xiangyong Cao, Qian Zhao, Lei Zhang, Chenqiang Gao, Deyu Meng

Furthermore, a transformation operator imposed on the background scenes is further embedded into the proposed model, which finely conveys the dynamic background transformations, such as rotations, scalings and distortions, inevitably existed in a real video sequence.

Weakly Supervised Instance Segmentation Using Hybrid Network

no code implementations12 Dec 2018 Shisha Liao, Yongqing Sun, Chenqiang Gao, Pranav Shenoy K P, Song Mu, Jun Shimamura, Atsushi Sagata

Weakly-supervised instance segmentation, which could greatly save labor and time cost of pixel mask annotation, has attracted increasing attention in recent years.

Instance Segmentation Semantic Segmentation +1

A novel learning-based frame pooling method for Event Detection

no code implementations7 Mar 2016 Lan Wang, Chenqiang Gao, Jiang Liu, Deyu Meng

Detecting complex events in a large video collection crawled from video websites is a challenging task.

Event Detection

Decomposable Nonlocal Tensor Dictionary Learning for Multispectral Image Denoising

no code implementations CVPR 2014 Yi Peng, Deyu Meng, Zongben Xu, Chenqiang Gao, Yi Yang, Biao Zhang

As compared to the conventional RGB or gray-scale images, multispectral images (MSI) can deliver more faithful representation for real scenes, and enhance the performance of many computer vision tasks.

Dictionary Learning Image Denoising

Cannot find the paper you are looking for? You can Submit a new open access paper.