Bing Zeng

发表

Automatic Detection of Early Gastrointestinal Cancer Lesions Based on Optimal Feature Extraction from Gastroscopic Images

Bing Zeng, Tao Gan, Dingyun Liu, 2015 .

Instance-Level Contrastive Learning for Weakly Supervised Object Detection

Ming Zhang, Bing Zeng, 2022, Sensors.

Automatic Detection of Small Intestinal Hookworms in Capsule Endoscopy Images Based on a Convolutional Neural Network

Shuaicheng Liu, Tao Gan, Jinlin Yang, 2021, Gastroenterology research and practice.

Improving the Classification Performance of Esophageal Disease on Small Dataset by Semi-supervised Efficient Contrastive Learning

Tao Gan, Linlin Zhu, Bing Zeng, 2021, Journal of Medical Systems.

Automatic classification of esophageal disease in gastroscopic images using an efficient channel attention deep dense convolutional neural network.

Tao Gan, Wenju Du, Lin-lin Zhu, 2021, Biomedical optics express.

Review on the Applications of Deep Learning in the Analysis of Gastrointestinal Endoscopy Images

Bing Zeng, Nini Rao, Hongxiu Jiang, 2019, IEEE Access.

Annotating Early Esophageal Cancers Based on Two Saliency Levels of Gastroscopic Images

Qian Li, Bing Zeng, Tao Gan, 2018, Journal of Medical Systems.

Unsupervised Global and Local Homography Estimation With Motion Basis Learning

Shuaicheng Liu, Yuhang Lu, Nianjin Ye, 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Single-Image-Based Deep Learning for Segmentation of Early Esophageal Cancer Lesions

Shuaicheng Liu, Tao Gan, N. Rao, 2023, IEEE Transactions on Image Processing.

GLM-Net: Global and Local Motion Estimation via Task-Oriented Encoder-Decoder Structure

Yuchen Yang, Boxuan Zhao, Shuaicheng Liu, 2021, ACM Multimedia.

Dynamic updating self-training for semi-weakly supervised object detection

Shuaicheng Liu, Ming Zhang, Bing Zeng, 2023, Neurocomputing.

Early gastric cancer segmentation in gastroscopic images using a co-spatial attention and channel attention based triple-branch ResUnet

Tao Gan, Wenju Du, Xiaotong Wang, 2023, Comput. Methods Programs Biomed..

Supervised Homography Learning with Realistic Dataset Generation

Haoqiang Fan, Shuaicheng Liu, Songchen Han, 2023, 2023 IEEE/CVF International Conference on Computer Vision (ICCV).