Yang Zhao

Orcid: 0000-0001-5252-658X

Affiliations:
  • La Trobe University, VIC, Australia


According to our database1, Yang Zhao authored at least 16 papers between 2016 and 2023.

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Timeline

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Bibliography

2023
Learning Deep Asymmetric Tolerant Part Representation.
IEEE Trans. Artif. Intell., December, 2023

Gait-Assisted Video Person Retrieval.
IEEE Trans. Circuits Syst. Video Technol., February, 2023

Mix-ViT: Mixing attentive vision transformer for ultra-fine-grained visual categorization.
Pattern Recognit., 2023

2022
RB-Net: Training Highly Accurate and Efficient Binary Neural Networks With Reshaped Point-Wise Convolution and Balanced Activation.
IEEE Trans. Circuits Syst. Video Technol., 2022

Learning discriminative region representation for person retrieval.
Pattern Recognit., 2022

SPARE: Self-supervised part erasing for ultra-fine-grained visual categorization.
Pattern Recognit., 2022

2021
Learning deep part-aware embedding for person retrieval.
Pattern Recognit., 2021

MaskCOV: A random mask covariance network for ultra-fine-grained visual categorization.
Pattern Recognit., 2021

Deep High-Resolution Representation Learning for Visual Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Benchmark Platform for Ultra-Fine-Grained Visual Categorization Beyond Human Performance.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

EAR-NET: Error Attention Refining Network For Retinal Vessel Segmentation.
Proceedings of the 2021 Digital Image Computing: Techniques and Applications, 2021

2020
MobileFAN: Transferring deep hidden representation for face alignment.
Pattern Recognit., 2020

Patchy Image Structure Classification Using Multi-Orientation Region Transform.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
High-Resolution Representations for Labeling Pixels and Regions.
CoRR, 2019

2016
Research on campus traffic congestion detection using BP neural network and Markov model.
J. Inf. Secur. Appl., 2016

Multiscale Crossing Representation Using Combined Feature of Contour and Venation for Leaf Image Identification.
Proceedings of the 2016 International Conference on Digital Image Computing: Techniques and Applications, 2016


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