Bingyuan Liu

Orcid: 0000-0002-4247-3418

According to our database1, Bingyuan Liu authored at least 23 papers between 2013 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
Do we really need dice? The hidden region-size biases of segmentation losses.
Medical Image Anal., January, 2024

Neighbor-Aware Calibration of Segmentation Networks with Penalty-Based Constraints.
CoRR, 2024

2023
GAMMA challenge: Glaucoma grAding from Multi-Modality imAges.
Medical Image Anal., December, 2023

Calibrating segmentation networks with margin-based label smoothing.
Medical Image Anal., 2023

Segmentation with mixed supervision: Confidence maximization helps knowledge distillation.
Medical Image Anal., 2023

Trust Your Neighbours: Penalty-Based Constraints for Model Calibration.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Operation Optimization of Air Cooling System Based on Random Forest Algorithm.
Proceedings of the IEEE 3rd International Conference on Digital Twins and Parallel Intelligence, 2023

Class Adaptive Network Calibration.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
A Manifold Proximal Linear Method for Sparse Spectral Clustering with Application to Single-Cell RNA Sequencing Data Analysis.
INFORMS J. Optim., April, 2022

Improving neural network robustness through neighborhood preserving layers.
Image Vis. Comput., 2022

GAMMA Challenge: Glaucoma grAding from Multi-Modality imAges.
CoRR, 2022

The Devil is in the Margin: Margin-based Label Smoothing for Network Calibration.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Mixed-supervised segmentation: Confidence maximization helps knowledge distillation.
CoRR, 2021

The hidden label-marginal biases of segmentation losses.
CoRR, 2021

2019
Furnishing Your Room by What You See: An End-to-End Furniture Set Retrieval Framework with Rich Annotated Benchmark Dataset.
CoRR, 2019

2015
Detection guided deconvolutional network for hierarchical feature learning.
Pattern Recognit., 2015

Learning representative and discriminative image representation by deep appearance and spatial coding.
Comput. Vis. Image Underst., 2015

Hybrid Learning Framework for Large-Scale Web Image Annotation and Localization.
Proceedings of the Working Notes of CLEF 2015, 2015

2014
Adaptive spatial partition learning for image classification.
Neurocomputing, 2014

Regularized Hierarchical Feature Learning with Non-negative Sparsity and Selectivity for Image Classification.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Learning a Representative and Discriminative Part Model with Deep Convolutional Features for Scene Recognition.
Proceedings of the Computer Vision - ACCV 2014, 2014

Image Representation Learning by Deep Appearance and Spatial Coding.
Proceedings of the Computer Vision - ACCV 2014, 2014

2013
Robust Feature Encoding with Neighborhood Information for Image Classification.
Proceedings of the Seventh International Conference on Image and Graphics, 2013


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