Jin-Gang Yu

Orcid: 0000-0003-2148-2726

Affiliations:

South China University of Technology, School of Automation Science and Engineering, Guangzhou, China
University of Nebraska-Lincoln, Department of Computer Science and Engineering, Lincoln, NE, USA
Huazhong University of Science and Technology, School of Automation, Wuhan, China (PhD 2014)

According to our database¹, Jin-Gang Yu authored at least 36 papers between 2012 and 2024.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Few-Shot Learning for Annotation-Efficient Nucleus Instance Segmentation.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Bayesian Collaborative Learning for Whole-Slide Image Classification.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, June, 2023

Prototypical multiple instance learning for predicting lymph node metastasis of breast cancer from whole-slide pathological images.

[BibT_eX]

[DOI]

Medical Image Anal., April, 2023

Pose-Guided Hierarchical Semantic Decomposition and Composition for Human Parsing.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., March, 2023

Efficient Spatio-Temporal Contrastive Learning for Skeleton-Based 3-D Action Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2023

Learning Relative Feature Displacement for Few-Shot Open-Set Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2023

Learning to Holistically Detect Bridges from Large-Size VHR Remote Sensing Imagery.

[BibT_eX]

[DOI]

CoRR, 2023

Complete Instances Mining for Weakly Supervised Instance Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2021

Learning Deep Cross-Modal Embedding Networks for Zero-Shot Remote Sensing Image Scene Classification.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2021

WS-RCNN: Learning to Score Proposals for Weakly Supervised Instance Segmentation.

[BibT_eX]

[DOI]

Jiarong Ou

Shule Deng

Jin-Gang Yu

Sensors, 2021

A simple graph-based semi-supervised learning approach for imbalanced classification.

[BibT_eX]

[DOI]

Jianjin Deng

Jin-Gang Yu

Pattern Recognit., 2021

Context-Aware Selective Label Smoothing for Calibrating Sequence Recognition Model.

[BibT_eX]

[DOI]

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Deep Graph Matching Under Quadratic Constraint.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Exemplar-Based Recursive Instance Segmentation With Application to Plant Image Analysis.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2020

Pose-guided spatiotemporal alignment for video-based person Re-identification.

[BibT_eX]

[DOI]

Inf. Sci., 2020

Censoring-Aware Deep Ordinal Regression for Survival Prediction from Pathological Images.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Zero-Assignment Constraint for Graph Matching With Outliers.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

FGN: Fully Guided Network for Few-Shot Instance Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Superpixel-Based Temporally Aligned Representation for Video-Based Person Re-Identification.

[BibT_eX]

[DOI]

Sensors, 2019

Progressively Decomposing Graph Matching.

[BibT_eX]

[DOI]

IEEE Access, 2019

Fine-Grained Classification of Endoscopic Tympanic Membrane Images.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018

Spatially Attentive Correlation Filters for Visual Tracking.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Robust and Efficient Ellipse Fitting Using Tangent Chord Distance.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ACCV 2018, 2018

2017

Robust Visual Tracking Using Exemplar-Based Detectors.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2017

2016

A Computational Model for Object-Based Visual Saliency: Spreading Attention Along Gestalt Cues.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2016

Enhancement of ELDA Tracker Based on CNN Features and Adaptive Model Update.

[BibT_eX]

[DOI]

Sensors, 2016

Image retrieval based on image-to-class similarity.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2016

Globally consistent correspondence of multiple feature sets using proximal Gauss-Seidel relaxation.

[BibT_eX]

[DOI]

Pattern Recognit., 2016

A novel spatio-temporal saliency approach for robust dim moving target detection from airborne infrared image sequences.

[BibT_eX]

[DOI]

Inf. Sci., 2016

Temporally aligned pooling representation for video-based person re-identification.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2015

Salient object detection via contrast information and object vision organization cues.

[BibT_eX]

[DOI]

Neurocomputing, 2015

Kernel regression in mixed feature spaces for spatio-temporal saliency detection.

[BibT_eX]

[DOI]

Comput. Vis. Image Underst., 2015

2014

Maximal Entropy Random Walk for Region-Based Visual Saliency.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2014

Visual saliency detection using feature activity weighted decorrelation cues.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Exemplar-based linear discriminant analysis for robust object tracking.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2012

Urban area detection using multiple Kernel Learning and graph cut.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

Jin-Gang Yu

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