Xin Zhao

According to our database, Xin Zhao authored at least 13 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

A state-of-the-art survey of object detection techniques in microorganism image analysis: from classical methods to deep learning approaches.

Pingli Ma, Chen Li, Md Mamunur Rahaman, Yudong Yao, Jiawei Zhang, Shuojia Zou, Xin Zhao, Marcin Grzegorzek

Artif. Intell. Rev., February, 2023

ECA-RetinaNet: A Novel Self-Attention RetinaNet for Environmental Microorganism Image Object Detection.

Hechen Yang, Jinzhu Yang, Tao Jiang, Xin Zhao, Jinghua Zhang, Peng Zhao, Ao Chen, Qianqing Nie, Marcin Grzegorzek, Chen Li

Proceedings of the IEEE International Conference on Big Data, 2023

2022

A Comprehensive Survey with Quantitative Comparison of Image Analysis Methods for Microorganism Biovolume Measurements.

Jiawei Zhang, Chen Li, Md Mamunur Rahaman, Yudong Yao, Pingli Ma, Jinghua Zhang, Xin Zhao, Tao Jiang, Marcin Grzegorzek

CoRR, 2022

A comprehensive review of image analysis methods for microorganism counting: from classical image processing to deep learning approaches.

Jiawei Zhang, Chen Li, Md Mamunur Rahaman, Yudong Yao, Pingli Ma, Jinghua Zhang, Xin Zhao, Tao Jiang, Marcin Grzegorzek

Artif. Intell. Rev., 2022

2021

EMDS-7: Environmental Microorganism Image Dataset Seventh Version for Multiple Object Detection Evaluation.

Hechen Yang, Chen Li, Xin Zhao, Bencheng Cai, Jiawei Zhang, Pingli Ma, Peng Zhao, Ao Chen, Tao Jiang, Hongzan Sun, Yueyang Teng, Shouliang Qi, Xinyu Huang, Marcin Grzegorzek

CoRR, 2021

A Comparison for Patch-level Classification of Deep Learning Methods on Transparent Images: from Convolutional Neural Networks to Visual Transformers.

Hechen Yang, Chen Li, Peng Zhao, Ao Chen, Xin Zhao, Marcin Grzegorzek

CoRR, 2021

A State-of-the-art Survey of Object Detection Techniques in Microorganism Image Analysis: from Traditional Image Processing and Classical Machine Learning to Current Deep Convolutional Neural Networks and Potential Visual Transformers.

Chen Li, Pingli Ma, Md Mamunur Rahaman, Yudong Yao, Jiawei Zhang, Shuojia Zou, Xin Zhao, Marcin Grzegorzek

CoRR, 2021

A New Pairwise Deep Learning Feature For Environmental Microorganism Image Analysis.

Frank Kulwa, Chen Li, Jinghua Zhang, Kimiaki Shirahama, Sergey Kosov, Xin Zhao, Hongzan Sun, Tao Jiang, Marcin Grzegorzek

CoRR, 2021

2020

A Multi-scale CNN-CRF Framework for Environmental Microorganism Image Segmentation.

Jinghua Zhang, Chen Li, Frank Kulwa, Xin Zhao, Changhao Sun, Zihan Li, Tao Jiang, Hong Li

CoRR, 2020

An Enhanced Framework of Generative Adversarial Networks (EF-GANs) for Environmental Microorganism Image Augmentation With Limited Rotation-Invariant Training Data.

Hao Xu, Chen Li, Md Mamunur Rahaman, Yudong Yao, Zihan Li, Jinghua Zhang, Frank Kulwa, Xin Zhao, Shouliang Qi, Yueyang Teng

IEEE Access, 2020

Microscopic Image Augmentation Using an Enhanced WGAN.

Hao Xu, Chen Li, Jinghua Zhang, Zihan Li, Changhao Sun, Xin Zhao

Proceedings of the ISICDM 2020: The Fourth International Symposium on Image Computing and Digital Medicine, 2020

2019

A State-of-the-Art Survey for Microorganism Image Segmentation Methods and Future Potential.

Frank Kulwa, Chen Li, Xin Zhao, Bencheng Cai, Ning Xu, Shouliang Qi, Shuo Chen, Yueyang Teng

IEEE Access, 2019

2018

A Brief Review for Content-Based Microorganism Image Analysis Using Classical and Deep Neural Networks.

Chen Li, Ning Xu, Tao Jiang, Shouliang Qi, Fangfang Han, Wei Qian, Xin Zhao

Proceedings of the Information Technology in Biomedicine, 2018