Bingyuan Liu

According to our database, Bingyuan Liu authored at least 23 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Do we really need dice? The hidden region-size biases of segmentation losses.

Bingyuan Liu, Jose Dolz, Adrian Galdran, Riadh Kobbi, Ismail Ben Ayed

Medical Image Anal., January, 2024

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

Balamurali Murugesan, Sukesh Adiga Vasudeva, Bingyuan Liu, Hervé Lombaert, Ismail Ben Ayed, Jose Dolz

CoRR, 2024

2023

GAMMA challenge: Glaucoma grAding from Multi-Modality imAges.

Junde Wu, Huihui Fang, Fei Li, Huazhu Fu, Fengbin Lin, Jiongcheng Li, Yue Huang, Qinji Yu, Sifan Song, Xinxing Xu, Yanyu Xu, Wensai Wang, Lingxiao Wang, Shuai Lu, Huiqi Li, Shihua Huang, Zhichao Lu, Chubin Ou, Xifei Wei, Bingyuan Liu, Riadh Kobbi, Xiaoying Tang, Li Lin, Qiang Zhou, Qiang Hu, Hrvoje Bogunovic, José Ignacio Orlando, Xiulan Zhang, Yanwu Xu

Medical Image Anal., December, 2023

Calibrating segmentation networks with margin-based label smoothing.

Balamurali Murugesan, Bingyuan Liu, Adrian Galdran, Ismail Ben Ayed, Jose Dolz

Medical Image Anal., 2023

Segmentation with mixed supervision: Confidence maximization helps knowledge distillation.

Bingyuan Liu, Christian Desrosiers, Ismail Ben Ayed, Jose Dolz

Medical Image Anal., 2023

Trust Your Neighbours: Penalty-Based Constraints for Model Calibration.

Balamurali Murugesan, Sukesh Adiga V, Bingyuan Liu, Herve Lombaert, Ismail Ben Ayed, Jose Dolz

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Operation Optimization of Air Cooling System Based on Random Forest Algorithm.

Wenyu Wang, Feng Chen, Lin Gao, Yanjun Guo, Linjuan Gong, Xianrong Zhang, Lin Wang, Jun Li, Haidong Gao, Bingyuan Liu

Proceedings of the IEEE 3rd International Conference on Digital Twins and Parallel Intelligence, 2023

Class Adaptive Network Calibration.

Bingyuan Liu, Jérôme Rony, Adrian Galdran, Jose Dolz, Ismail Ben Ayed

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.

Zhongruo Wang, Bingyuan Liu, Shixiang Chen, Shiqian Ma, Lingzhou Xue, Hongyu Zhao

INFORMS J. Optim., April, 2022

Improving neural network robustness through neighborhood preserving layers.

Bingyuan Liu, Christopher Malon, Lingzhou Xue, Erik Kruus

Image Vis. Comput., 2022

GAMMA Challenge: Glaucoma grAding from Multi-Modality imAges.

Junde Wu, Huihui Fang, Fei Li, Huazhu Fu, Fengbin Lin, Jiongcheng Li, Lexing Huang, Qinji Yu, Sifan Song, Xingxing Xu, Yanyu Xu, Wensai Wang, Lingxiao Wang, Shuai Lu, Huiqi Li, Shihua Huang, Zhichao Lu, Chubin Ou, Xifei Wei, Bingyuan Liu, Riadh Kobbi, Xiaoying Tang, Li Lin, Qiang Zhou, Qiang Hu, Hrvoje Bogunovic, José Ignacio Orlando, Xiulan Zhang, Yanwu Xu

CoRR, 2022

The Devil is in the Margin: Margin-based Label Smoothing for Network Calibration.

Bingyuan Liu, Ismail Ben Ayed, Adrian Galdran, Jose Dolz

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Mixed-supervised segmentation: Confidence maximization helps knowledge distillation.

Bingyuan Liu, Christian Desrosiers, Ismail Ben Ayed, Jose Dolz

CoRR, 2021

The hidden label-marginal biases of segmentation losses.

Bingyuan Liu, Jose Dolz, Adrian Galdran, Riadh Kobbi, Ismail Ben Ayed

CoRR, 2021

2019

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

Bingyuan Liu, Jiantao Zhang, Xiaoting Zhang, Wei Zhang, Chuanhui Yu, Yuan Zhou

CoRR, 2019

2015

Detection guided deconvolutional network for hierarchical feature learning.

Jing Liu, Bingyuan Liu, Hanqing Lu

Pattern Recognit., 2015

Learning representative and discriminative image representation by deep appearance and spatial coding.

Bingyuan Liu, Jing Liu, Hanqing Lu

Comput. Vis. Image Underst., 2015

Hybrid Learning Framework for Large-Scale Web Image Annotation and Localization.

Yong Li, Jing Liu, Yuhang Wang, Bingyuan Liu, Jun Fu, Yunze Gao, Hui Wu, Hang Song, Peng Ying, Hanqing Lu

Proceedings of the Working Notes of CLEF 2015, 2015

2014

Adaptive spatial partition learning for image classification.

Bingyuan Liu, Jing Liu, Hanqing Lu

Neurocomputing, 2014

Regularized Hierarchical Feature Learning with Non-negative Sparsity and Selectivity for Image Classification.

Bingyuan Liu, Jing Liu, Xiao Bai, Hanqing Lu

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Learning a Representative and Discriminative Part Model with Deep Convolutional Features for Scene Recognition.

Bingyuan Liu, Jing Liu, Jinqiao Wang, Hanqing Lu

Proceedings of the Computer Vision - ACCV 2014, 2014

Image Representation Learning by Deep Appearance and Spatial Coding.

Bingyuan Liu, Jing Liu, Zechao Li, Hanqing Lu

Proceedings of the Computer Vision - ACCV 2014, 2014

2013

Robust Feature Encoding with Neighborhood Information for Image Classification.

Bingyuan Liu, Jing Liu, Chunjie Zhang, Maolin Chen, Hanqing Lu

Proceedings of the Seventh International Conference on Image and Graphics, 2013