Mingyuan Jiu

Orcid: 0000-0002-4868-0709

According to our database1, Mingyuan Jiu authored at least 28 papers between 2012 and 2024.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Few-Shot Object Detection with Sparse Context Transformers.
CoRR, 2024

Sparse Context Transformer for Few-Shot Object Detection.
Proceedings of the PRICAI 2024: Trends in Artificial Intelligence, 2024

2022
Alternative Design of DeepPDNet in the Context of Image Restoration.
IEEE Signal Process. Lett., 2022

Context-aware deep kernel networks for image annotation.
Neurocomputing, 2022

2021
A Deep Primal-Dual Proximal Network for Image Restoration.
IEEE J. Sel. Top. Signal Process., 2021

DHCN: Deep Hierarchical Context Networks For Image Annotation.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Sparse Hierarchical Interaction Learning with Epigraphical Projection.
J. Signal Process. Syst., 2020

Image Annotation based on Deep Hierarchical Context Networks.
CoRR, 2020

End-to-end training of deep kernel map networks for image classification.
CoRR, 2020

Detection of Conductive Particles in TFT-LCD Circuit Using Generative Adversarial Networks.
IEEE Access, 2020

End-to-End Deep Kernel Map Design for Image Annotation.
Proceedings of the IEEE International Conference on Image Processing, 2020

2019
Deep representation design from deep kernel networks.
Pattern Recognit., 2019

Deep Context-Aware Kernel Networks.
CoRR, 2019

2018
Learning Explicit Deep Representations from Deep Kernel Networks.
CoRR, 2018

Learning Deep Context-Network Architectures for Image Annotation.
CoRR, 2018

Multiclass SVM with Hierarchical Interaction: Application to Face Classification.
Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018

Deep Context Networks for Image Annotation.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017
Nonlinear Deep Kernel Learning for Image Annotation.
IEEE Trans. Image Process., 2017

Sparse hierarchical interaction learning with epigraphical projection.
CoRR, 2017

2016
Multiclass SVM with graph path coding regularization for face classification.
Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

Deep kernel map networks for image annotation.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Laplacian deep kernel learning for image annotation.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
Semi supervised deep kernel design for image annotation.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014
Spatial information and end-to-end learning for visual recognition. (Informations spatiales et apprentissage bout-en-bout pour la reconnaissance visuelle).
PhD thesis, 2014

Human body part estimation from depth images via spatially-constrained deep learning.
Pattern Recognit. Lett., 2014

Evaluation of video activity localizations integrating quality and quantity measurements.
Comput. Vis. Image Underst., 2014

2013
Integrating Spatial Layout of Object Parts into Classification without Pairwise Terms - Application to Fast Body Parts Estimation from Depth Images.
Proceedings of the VISAPP 2013, 2013

2012
Supervised Learning and Codebook Optimization for Bag-of-Words Models.
Cogn. Comput., 2012


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