Shiyang Yan

Orcid: 0000-0003-1411-5952

According to our database1, Shiyang Yan authored at least 28 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
AdaTriplet-RA: Domain matching via adaptive triplet and reinforced attention for unsupervised domain adaptation.
Signal Process. Image Commun., January, 2024

2023
Hyp-UML: Hyperbolic Image Retrieval with Uncertainty-aware Metric Learning.
CoRR, 2023

SC-ML: Self-supervised Counterfactual Metric Learning for Debiased Visual Question Answering.
CoRR, 2023

FGCVQA: Fine-Grained Cross-Attention for Medical VQA.
Proceedings of the IEEE International Conference on Image Processing, 2023

2022
Adaptive multi-task learning for cross domain and modal person re-identification.
Neurocomputing, 2022

2021
Discrete-Continuous Action Space Policy Gradient-Based Attention for Image-Text Matching.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Abnormal Event Detection From Videos Using a Two-Stream Recurrent Variational Autoencoder.
IEEE Trans. Cogn. Dev. Syst., 2020

Image captioning via hierarchical attention mechanism and policy gradient optimization.
Signal Process., 2020

Off-Policy Self-Critical Training for Transformer in Visual Paragraph Generation.
CoRR, 2020

ParaCNN: Visual Paragraph Generation via Adversarial Twin Contextual CNNs.
CoRR, 2020

2019
Vehicle re-identification in still images: Application of semi-supervised learning and re-ranking.
Signal Process. Image Commun., 2019

HorNet: A Hierarchical Offshoot Recurrent Network for Improving Person Re-ID via Image Captioning.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Unsupervised Domain Adaptation for Disguised Face Recognition.
Proceedings of the IEEE International Conference on Multimedia & Expo Workshops, 2019

MVP Matching: A Maximum-Value Perfect Matching for Mining Hard Samples, With Application to Person Re-Identification.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

SC-RANK: Improving Convolutional Image Captioning with Self-Critical Learning and Ranking Metric-based Reward.
Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018
Visual attention mechanism in deep learning and its applications.
PhD thesis, 2018

Multibranch Attention Networks for Action Recognition in Still Images.
IEEE Trans. Cogn. Dev. Syst., 2018

Hierarchical Multi-scale Attention Networks for action recognition.
Signal Process. Image Commun., 2018

Image Captioning Based on a Hierarchical Attention Mechanism and Policy Gradient Optimization.
CoRR, 2018

Image Captioning using Adversarial Networks and Reinforcement Learning.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Joint Semi-supervised Learning and Re-ranking for Vehicle Re-identification.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017
Action Recognition from Still Images Based on Deep VLAD Spatial Pyramids.
Signal Process. Image Commun., 2017

Multiscale Convolutional Neural Networks for Hand Detection.
Appl. Comput. Intell. Soft Comput., 2017

Traffic scene recognition based on deep CNN and VLAD spatial pyramids.
Proceedings of the 2017 International Conference on Machine Learning and Cybernetics, 2017

CHAM: Action recognition using convolutional hierarchical attention model.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2016
Driver behavior recognition based on deep convolutional neural networks.
Proceedings of the 12th International Conference on Natural Computation, 2016

Action detection in office scene based on deep convolutional neural networks.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2016

Attributes and Action Recognition Based on Convolutional Neural Networks and Spatial Pyramid VLAD Encoding.
Proceedings of the Computer Vision - ACCV 2016 Workshops, 2016


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