Bingyuan Liu

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 25

Top Topics

Image Representation

Spectral Clustering

Neighborhood Preserving

Retrieval Framework

Top Venues

Medical Image Anal.

Publications

Balamurali Murugesan, Sukesh Adiga Vasudeva, Bingyuan Liu, Hervé Lombaert, Ismail Ben Ayed, Jose Dolz
Neighbor-Aware Calibration of Segmentation Networks with Penalty-Based Constraints. CoRR (2024)
Bingyuan Liu, Jose Dolz, Adrian Galdran, Riadh Kobbi, Ismail Ben Ayed
Do we really need dice? The hidden region-size biases of segmentation losses. Medical Image Anal. 91 (2024)
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
GAMMA challenge: Glaucoma grAding from Multi-Modality imAges. Medical Image Anal. 90 (2023)
Balamurali Murugesan, Bingyuan Liu, Adrian Galdran, Ismail Ben Ayed, Jose Dolz
Calibrating segmentation networks with margin-based label smoothing. Medical Image Anal. 87 (2023)
Bingyuan Liu, Christian Desrosiers, Ismail Ben Ayed, Jose Dolz
Segmentation with mixed supervision: Confidence maximization helps knowledge distillation. Medical Image Anal. 83 (2023)
Balamurali Murugesan, Sukesh Adiga V, Bingyuan Liu, Hervé Lombaert, Ismail Ben Ayed, Jose Dolz
Trust your neighbours: Penalty-based constraints for model calibration. CoRR (2023)
Balamurali Murugesan, Sukesh Adiga V, Bingyuan Liu, Herve Lombaert, Ismail Ben Ayed, Jose Dolz
Trust Your Neighbours: Penalty-Based Constraints for Model Calibration. MICCAI (3) (2023)
Bingyuan Liu, Jérôme Rony, Adrian Galdran, Jose Dolz, Ismail Ben Ayed
Class Adaptive Network Calibration. CVPR (2023)
Wenyu Wang, Feng Chen, Lin Gao, Yanjun Guo, Linjuan Gong, Xianrong Zhang, Lin Wang, Jun Li, Haidong Gao, Bingyuan Liu
Operation Optimization of Air Cooling System Based on Random Forest Algorithm. DTPI (2023)
Zhongruo Wang, Bingyuan Liu, Shixiang Chen, Shiqian Ma, Lingzhou Xue, Hongyu Zhao
A Manifold Proximal Linear Method for Sparse Spectral Clustering with Application to Single-Cell RNA Sequencing Data Analysis. INFORMS J. Optim. 4 (2) (2022)
Bingyuan Liu, Ismail Ben Ayed, Adrian Galdran, Jose Dolz
The Devil is in the Margin: Margin-based Label Smoothing for Network Calibration. CVPR (2022)
Bingyuan Liu, Jérôme Rony, Adrian Galdran, Jose Dolz, Ismail Ben Ayed
Class Adaptive Network Calibration. CoRR (2022)
Bingyuan Liu, Christopher Malon, Lingzhou Xue, Erik Kruus
Improving neural network robustness through neighborhood preserving layers. Image Vis. Comput. 123 (2022)
Balamurali Murugesan, Bingyuan Liu, Adrian Galdran, Ismail Ben Ayed, Jose Dolz
Calibrating Segmentation Networks with Margin-based Label Smoothing. CoRR (2022)
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
GAMMA Challenge: Glaucoma grAding from Multi-Modality imAges. CoRR (2022)
Bingyuan Liu, Christian Desrosiers, Ismail Ben Ayed, Jose Dolz
Mixed-supervised segmentation: Confidence maximization helps knowledge distillation. CoRR (2021)
Bingyuan Liu, Ismail Ben Ayed, Adrian Galdran, Jose Dolz
The Devil is in the Margin: Margin-based Label Smoothing for Network Calibration. CoRR (2021)
Bingyuan Liu, Jose Dolz, Adrian Galdran, Riadh Kobbi, Ismail Ben Ayed
The hidden label-marginal biases of segmentation losses. CoRR (2021)
Bingyuan Liu, Christopher Malon, Lingzhou Xue, Erik Kruus
Improving Neural Network Robustness through Neighborhood Preserving Layers. CoRR (2021)
Zhongruo Wang, Bingyuan Liu, Shixiang Chen, Shiqian Ma, Lingzhou Xue, Hongyu Zhao
A Manifold Proximal Linear Method for Sparse Spectral Clustering with Application to Single-Cell RNA Sequencing Data Analysis. CoRR (2020)
Bingyuan Liu, Christopher Malon, Lingzhou Xue, Erik Kruus
Improving Neural Network Robustness Through Neighborhood Preserving Layers. ICPR Workshops (6) (2020)
Bingyuan Liu, Jiantao Zhang, Xiaoting Zhang, Wei Zhang, Chuanhui Yu, Yuan Zhou
Furnishing Your Room by What You See: An End-to-End Furniture Set Retrieval Framework with Rich Annotated Benchmark Dataset. CoRR (2019)
Jing Liu, Bingyuan Liu, Hanqing Lu
Detection guided deconvolutional network for hierarchical feature learning. Pattern Recognit. 48 (8) (2015)
Bingyuan Liu, Jing Liu, Hanqing Lu
Learning representative and discriminative image representation by deep appearance and spatial coding. Comput. Vis. Image Underst. 136 (2015)
Yong Li, Jing Liu, Yuhang Wang, Bingyuan Liu, Jun Fu, Yunze Gao, Hui Wu, Hang Song, Peng Ying, Hanqing Lu
Hybrid Learning Framework for Large-Scale Web Image Annotation and Localization. CLEF (Working Notes) (2015)
Bingyuan Liu, Jing Liu, Hanqing Lu
Adaptive spatial partition learning for image classification. Neurocomputing 142 (2014)
Bingyuan Liu, Jing Liu, Xiao Bai, Hanqing Lu
Regularized Hierarchical Feature Learning with Non-negative Sparsity and Selectivity for Image Classification. ICPR (2014)
Bingyuan Liu, Jing Liu, Jinqiao Wang, Hanqing Lu
Learning a Representative and Discriminative Part Model with Deep Convolutional Features for Scene Recognition. ACCV (1) (2014)
Bingyuan Liu, Jing Liu, Zechao Li, Hanqing Lu
Image Representation Learning by Deep Appearance and Spatial Coding. ACCV (1) (2014)
Bingyuan Liu, Jing Liu, Chunjie Zhang, Maolin Chen, Hanqing Lu
Robust Feature Encoding with Neighborhood Information for Image Classification. ICIG (2013)