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Zheming Zuo
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2020 – today
- 2024
- [c12]Zheming Zuo, Joseph Smith, Jonathan Stonehouse, Boguslaw Obara:
Robust and Explainable Fine-Grained Visual Classification with Transfer Learning: A Dual-Carriageway Framework. CVPR Workshops 2024: 183-193 - [c11]Joseph Smith, Zheming Zuo
, Jonathan Stonehouse, Boguslaw Obara:
How Quality Affects Deep Neural Networks in Fine-Grained Image Classification. VISIGRAPP (2): VISAPP 2024: 448-457 - [i5]Joseph Smith, Zheming Zuo, Jonathan Stonehouse, Boguslaw Obara:
How Quality Affects Deep Neural Networks in Fine-Grained Image Classification. CoRR abs/2405.05742 (2024) - [i4]Zheming Zuo, Joseph Smith, Jonathan Stonehouse, Boguslaw Obara:
Robust and Explainable Fine-Grained Visual Classification with Transfer Learning: A Dual-Carriageway Framework. CoRR abs/2405.05853 (2024) - [i3]Zheming Zuo, Joseph Smith, Jonathan Stonehouse, Boguslaw Obara:
An Augmentation-based Model Re-adaptation Framework for Robust Image Segmentation. CoRR abs/2409.09530 (2024) - 2022
- [c10]Zheming Zuo, Zhichao Lian, Zhihui Wei:
A GAN-Based Framework For High-Fidelity Face Swapping. DASC/PiCom/CBDCom/CyberSciTech 2022: 1-6 - [c9]Han Xu, Zheming Zuo
Seen to Unseen: When Fuzzy Inference System Predicts IoT Device Positioning Labels That Had Not Appeared in Training Phase. IoTBDS 2022: 281-288 - [c8]Zheming Zuo
IDEA-Net: Adaptive Dual Self-Attention Network for Single Image Denoising. WACV (Workshops) 2022: 739-748 - [i2]Han Xu, Zheming Zuo, Jie Li, Victor Chang:
Seen to Unseen: When Fuzzy Inference System Predicts IoT Device Positioning Labels That Had Not Appeared in Training Phase. CoRR abs/2209.10627 (2022) - 2021
- [j4]Yang Long
A multi-subpopulation bacterial foraging optimisation algorithm with deletion and immigration strategies for unmanned surface vehicle path planning. Intell. Serv. Robotics 14(2): 303-312 (2021) - [i1]Zheming Zuo
Curvature-based Feature Selection with Application in Classifying Electronic Health Records. CoRR abs/2101.03581 (2021) - 2020
- [b1]Zheming Zuo:
Feature extraction and encoding for video action recognition. Northumbria University, Newcastle upon Tyne, UK, 2020 - [j3]Zheming Zuo
Histogram of Fuzzy Local Spatio-Temporal Descriptors for Video Action Recognition. IEEE Trans. Ind. Informatics 16(6): 4059-4067 (2020) - [j2]Wenhan Yang
Advancing Image Understanding in Poor Visibility Environments: A Collective Benchmark Study. IEEE Trans. Image Process. 29: 5737-5752 (2020)
2010 – 2019
- 2019
- [c7]Philip Anderson, Zheming Zuo
An Intelligent Online Grooming Detection System Using AI Technologies. FUZZ-IEEE 2019: 1-6 - [c6]Zheming Zuo
Adaptive Activation Function Generation for Artificial Neural Networks through Fuzzy Inference with Application in Grooming Text Categorisation. FUZZ-IEEE 2019: 1-6 - [c5]Zheming Zuo
Curvature-Based Sparse Rule Base Generation for Fuzzy Interpolation Using Menger Curvature. UKCI 2019: 53-65 - 2018
- [j1]Zheming Zuo
Gaze-Informed Egocentric Action Recognition for Memory Aid Systems. IEEE Access 6: 12894-12904 (2018) - [c4]Zheming Zuo, Daniel Organisciak, Hubert P. H. Shum, Longzhi Yang:
Saliency-Informed Spatio-Temporal Vector of Locally Aggregated Descriptors and Fisher Vectors for Visual Action Recognition. BMVC 2018: 321 - [c3]Zheming Zuo
Grooming Detection using Fuzzy-Rough Feature Selection and Text Classification. FUZZ-IEEE 2018: 1-8 - [c2]Noe Elisa, Jie Li, Zheming Zuo
Dendritic Cell Algorithm with Fuzzy Inference System for Input Signal Generation. UKCI 2018: 203-214 - 2017
- [c1]Ryan Cameron, Zheming Zuo
A Fall Detection/Recognition System and an Empirical Study of Gradient-Based Feature Extraction Approaches. UKCI 2017: 276-289
Coauthor Index
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last updated on 2024-10-15 00:27 CEST by the dblp team
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