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2020 – today
- 2024
[j9]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: 103015 (2024)- [i11]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 abs/2401.14487 (2024) - 2023
- [j8]Bingyuan Liu, Christian Desrosiers, Ismail Ben Ayed, Jose Dolz:
Segmentation with mixed supervision: Confidence maximization helps knowledge distillation. Medical Image Anal. 83: 102670 (2023) - [j7]Balamurali Murugesan, Bingyuan Liu, Adrian Galdran, Ismail Ben Ayed, Jose Dolz:
Calibrating segmentation networks with margin-based label smoothing. Medical Image Anal. 87: 102826 (2023) - [j6]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: 102938 (2023) - [c10]Bingyuan Liu, Jérôme Rony, Adrian Galdran, Jose Dolz, Ismail Ben Ayed:
Class Adaptive Network Calibration. CVPR 2023: 16070-16079 - [c9]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: 1-7 - [c8]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: 572-581 - [i10]Balamurali Murugesan, Sukesh Adiga V, Bingyuan Liu, Hervé Lombaert, Ismail Ben Ayed, Jose Dolz:
Trust your neighbours: Penalty-based constraints for model calibration. CoRR abs/2303.06268 (2023) - 2022
- [j5]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): 200-214 (2022) - [j4]Bingyuan Liu, Christopher Malon, Lingzhou Xue, Erik Kruus:
Improving neural network robustness through neighborhood preserving layers. Image Vis. Comput. 123: 104469 (2022) - [c7]Bingyuan Liu, Ismail Ben Ayed, Adrian Galdran, Jose Dolz:
The Devil is in the Margin: Margin-based Label Smoothing for Network Calibration. CVPR 2022: 80-88 - [i9]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 abs/2202.06511 (2022) - [i8]Balamurali Murugesan, Bingyuan Liu, Adrian Galdran, Ismail Ben Ayed, Jose Dolz:
Calibrating Segmentation Networks with Margin-based Label Smoothing. CoRR abs/2209.09641 (2022) - [i7]Bingyuan Liu, Jérôme Rony, Adrian Galdran, Jose Dolz, Ismail Ben Ayed:
Class Adaptive Network Calibration. CoRR abs/2211.15088 (2022) - 2021
- [i6]Bingyuan Liu, Christopher Malon, Lingzhou Xue, Erik Kruus:
Improving Neural Network Robustness through Neighborhood Preserving Layers. CoRR abs/2101.11766 (2021) - [i5]Bingyuan Liu, Jose Dolz, Adrian Galdran, Riadh Kobbi, Ismail Ben Ayed:
The hidden label-marginal biases of segmentation losses. CoRR abs/2104.08717 (2021) - [i4]Bingyuan Liu, Christian Desrosiers, Ismail Ben Ayed, Jose Dolz:
Mixed-supervised segmentation: Confidence maximization helps knowledge distillation. CoRR abs/2109.10902 (2021) - [i3]Bingyuan Liu, Ismail Ben Ayed, Adrian Galdran, Jose Dolz:
The Devil is in the Margin: Margin-based Label Smoothing for Network Calibration. CoRR abs/2111.15430 (2021) - 2020
- [c6]Bingyuan Liu, Christopher Malon, Lingzhou Xue, Erik Kruus:
Improving Neural Network Robustness Through Neighborhood Preserving Layers. ICPR Workshops (6) 2020: 179-195 - [i2]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 abs/2007.09524 (2020)
2010 – 2019
- 2019
- [i1]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 abs/1911.09299 (2019) - 2015
- [j3]Bingyuan Liu, Jing Liu, Hanqing Lu:
Learning representative and discriminative image representation by deep appearance and spatial coding. Comput. Vis. Image Underst. 136: 23-31 (2015) - [j2]Jing Liu, Bingyuan Liu, Hanqing Lu:
Detection guided deconvolutional network for hierarchical feature learning. Pattern Recognit. 48(8): 2645-2655 (2015) - [c5]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 - 2014
- [j1]Bingyuan Liu, Jing Liu, Hanqing Lu:
Adaptive spatial partition learning for image classification. Neurocomputing 142: 282-290 (2014) - [c4]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: 643-658 - [c3]Bingyuan Liu, Jing Liu, Zechao Li, Hanqing Lu:
Image Representation Learning by Deep Appearance and Spatial Coding. ACCV (1) 2014: 659-672 - [c2]Bingyuan Liu, Jing Liu, Xiao Bai, Hanqing Lu:
Regularized Hierarchical Feature Learning with Non-negative Sparsity and Selectivity for Image Classification. ICPR 2014: 4293-4298 - 2013
- [c1]Bingyuan Liu, Jing Liu, Chunjie Zhang, Maolin Chen, Hanqing Lu:
Robust Feature Encoding with Neighborhood Information for Image Classification. ICIG 2013: 880-885
Coauthor Index
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