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Bingyuan Liu
Bingyuan Liu
Applied Scientist, Amazon AWS AI
Bestätigte E-Mail-Adresse bei amazon.com - Startseite
Titel
Zitiert von
Zitiert von
Jahr
The Devil is in the Margin: Margin-based Label Smoothing for Network Calibration
B Liu, IB Ayed, A Galdran, J Dolz
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
572022
Gamma challenge: glaucoma grading from multi-modality images
J Wu, H Fang, F Li, H Fu, F Lin, J Li, Y Huang, Q Yu, S Song, X Xu, Y Xu, ...
Medical Image Analysis 90, 102938, 2023
452023
Learning a representative and discriminative part model with deep convolutional features for scene recognition
B Liu, J Liu, J Wang, H Lu
Computer Vision–ACCV 2014: 12th Asian Conference on Computer Vision …, 2015
282015
Detection guided deconvolutional network for hierarchical feature learning
J Liu, B Liu, H Lu
Pattern Recognition 48 (8), 2645-2655, 2015
152015
Segmentation with mixed supervision: Confidence maximization helps knowledge distillation
B Liu, C Desrosiers, IB Ayed, J Dolz
Medical Image Analysis, 102670, 2022
142022
Calibrating segmentation networks with margin-based label smoothing
B Murugesan, B Liu, A Galdran, IB Ayed, J Dolz
Medical Image Analysis 87, 102826, 2023
132023
Regularized hierarchical feature learning with non-negative sparsity and selectivity for image classification
B Liu, J Liu, X Bai, H Lu
2014 22nd International Conference on Pattern Recognition, 4293-4298, 2014
122014
Class Adaptive Network Calibration
B Liu, J Rony, A Galdran, J Dolz, I Ben Ayed
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 16070 …, 2023
102023
Learning representative and discriminative image representation by deep appearance and spatial coding
B Liu, J Liu, H Lu
Computer Vision and Image Understanding 136, 23-31, 2015
82015
Do we really need dice? The hidden region-size biases of segmentation losses
B Liu, J Dolz, A Galdran, R Kobbi, IB Ayed
Medical Image Analysis 91, 103015, 2024
7*2024
Furnishing your room by what you see: An end-to-end furniture set retrieval framework with rich annotated benchmark dataset
B Liu, J Zhang, X Zhang, W Zhang, C Yu, Y Zhou
arXiv preprint arXiv:1911.09299, 2019
72019
Trust your neighbours: Penalty-based constraints for model calibration
B Murugesan, S Adiga Vasudeva, B Liu, H Lombaert, I Ben Ayed, J Dolz
International Conference on Medical Image Computing and Computer-Assisted …, 2023
62023
Hybrid Learning Framework for Large-Scale Web Image Annotation and Localization.
Y Li, J Liu, Y Wang, B Liu, J Fu, Y Gao, H Wu, H Song, P Ying, H Lu
CLEF (working notes), 2015
62015
Adaptive spatial partition learning for image classification
B Liu, J Liu, H Lu
Neurocomputing 142, 282-290, 2014
52014
Neighbor-aware calibration of segmentation networks with penalty-based constraints
B Murugesan, SA Vasudeva, B Liu, H Lombaert, IB Ayed, J Dolz
arXiv preprint arXiv:2401.14487, 2024
22024
基于深度学习的特征表示和图像分类方法研究
刘炳源
北京: 中国科学院大学, 2015
22015
A domain adaptation method for deep learning based automatic diabetic retinopathy grading
B Liu, H Chakor, R Kobbi, B Murugesan, W Kabir, J Chelbi, MA Racine, ...
Investigative Ophthalmology & Visual Science 64 (8), 263-263, 2023
2023
Automatic screening and progress with AI-assisted OCT in retinal macular oedema detection.
B Murugesan, H Chakor, R Kobbi, B Liu, W Kabir, J Chelbi, MA Racine, ...
Investigative Ophthalmology & Visual Science 64 (8), 4995-4995, 2023
2023
IDF21-0299 An automatic deep learning-based system for screening and management of DME
A Galdran, H Chakor, W Kabir, R Kobbi, B Liu, J Dolz, IB Ayed
Diabetes Research and Clinical Practice 186, 2022
2022
Image representation learning by deep appearance and spatial coding
B Liu, J Liu, Z Li, H Lu
Computer Vision–ACCV 2014: 12th Asian Conference on Computer Vision …, 2015
2015
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