Tao Zhang

ORCID: 0000-0003-3966-4691
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About
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Research Areas
  • Video Surveillance and Tracking Methods
  • Advanced Neural Network Applications
  • Microbial Metabolites in Food Biotechnology
  • Face recognition and analysis
  • Advanced Image and Video Retrieval Techniques
  • Human Pose and Action Recognition
  • Anomaly Detection Techniques and Applications
  • Face and Expression Recognition
  • Protein Hydrolysis and Bioactive Peptides
  • Gait Recognition and Analysis
  • Image Enhancement Techniques
  • Advanced Steganography and Watermarking Techniques
  • COVID-19 diagnosis using AI
  • Domain Adaptation and Few-Shot Learning
  • Radiomics and Machine Learning in Medical Imaging
  • Enzyme Production and Characterization
  • Digital Media Forensic Detection
  • Proteins in Food Systems
  • Advanced Image Fusion Techniques
  • Image and Signal Denoising Methods
  • Image Processing Techniques and Applications
  • Medical Imaging Techniques and Applications
  • Visual Attention and Saliency Detection
  • Underwater Vehicles and Communication Systems
  • Spectroscopy Techniques in Biomedical and Chemical Research

Central South University
2025

Jiangnan University
2014-2025

Guizhou University
2025

Hebei Institute of Physical Education
2025

Wuhan Ship Development & Design Institute
2022-2024

Inner Mongolia Agricultural University
2022-2024

Chinese Academy of Sciences
2012-2024

Yu Da University
2024

Hangzhou Normal University
2024

Civil Aviation Administration of China
2023-2024

This paper reports on the NTIRE 2022 challenge perceptual image quality assessment (IQA), held in conjunction with New Trends Image Restoration and Enhancement workshop (NTIRE) at CVPR 2022. is to address emerging of IQA by processing algorithms. The output images these algorithms have completely different characteristics from traditional distortions are included PIPAL dataset used this challenge. divided into two tracks, a full-reference track similar previous new that focuses no-reference...

10.1109/cvprw56347.2022.00109 article EN 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) 2022-06-01

Weakly supervised temporal action detection is a Herculean task in understanding untrimmed videos, since no supervisory signal except the video-level category label available on training data. Under supervision of labels, weakly detectors are usually built upon classifiers. However, there an inherent contradiction between classifier and detector; i.e., pursuit high classification performance prefers top-level discriminative video clips that extremely fragmentary, whereas detector obliged to...

10.1145/3240508.3240511 article EN Proceedings of the 30th ACM International Conference on Multimedia 2018-10-15

With rising safety concerns over the use of gadolinium-based contrast agents (GBCAs) in contrast-enhanced MRI, there is a need for dose reduction while maintaining diagnostic capability. This work proposes comprehensive technical solutions deep learning (DL) model that predicts images brain with approximately 10% standard dose, across different sites and scanners.The proposed DL consists set methods improve robustness generalizability. The steps include multi-planar reconstruction, 2.5D...

10.1002/mrm.28808 article EN Magnetic Resonance in Medicine 2021-04-29

This paper reports on the NTIRE 2021 challenge perceptual image quality assessment (IQA), held in conjunction with New Trends Image Restoration and Enhancement workshop (NTIRE) at CVPR 2021. As a new type of processing technology, algorithms based Generative Adversarial Networks (GAN) have produced images more realistic textures. These output completely different characteristics from traditional distortions, thus pose for IQA methods to evaluate their visual quality. In comparison previous...

10.1109/cvprw53098.2021.00077 article EN 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) 2021-06-01

The Internet of Medical Things (IoMT) is a brand new technology combining medical devices and other wireless to access the healthcare management systems. This article has sought possibilities aiding current Corona Virus Disease 2019 (COVID-19) pandemic by implementing machine learning algorithms while offering emotional treatment suggestion doctors patients. cognitive model with respect IoMT best suited this as every person be connected monitored through network. However, COVID-19 still...

10.1109/jiot.2020.3038631 article EN IEEE Internet of Things Journal 2020-11-17

The constant exposure of modern society to extremely low frequency magnetic fields (ELF‐MF) has raised considerable concerns about the potential risks male reproduction. However, epidemiological and experimental data remain contradictory inconclusive. In present study, we investigated effects 50 Hz ELF‐MF 500 µT applied 4 h/day, 7 days/week for 8 weeks on reproduction, focusing changes in spermatogenesis. Several biological endpoints related testicular function spermatogenesis were measured,...

10.1002/bem.21816 article EN Bioelectromagnetics 2013-10-03

10.1109/lsp.2025.3555544 article EN IEEE Signal Processing Letters 2025-01-01
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