Yanye Lu

Orcid: 0000-0002-3063-8051

According to our database1, Yanye Lu authored at least 27 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
3-D Convolutional Neural Networks for RGB-D Salient Object Detection and Beyond.
IEEE Trans. Neural Networks Learn. Syst., March, 2024

One-Pot Multi-frame Denoising.
Int. J. Comput. Vis., February, 2024

Beyond Text: Frozen Large Language Models in Visual Signal Comprehension.
CoRR, 2024

Scribble Hides Class: Promoting Scribble-Based Weakly-Supervised Semantic Segmentation with Its Class Label.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Background-Aware Classification Activation Map for Weakly Supervised Object Localization.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Discriminative ensemble meta-learning with co-regularization for rare fundus diseases diagnosis.
Medical Image Anal., October, 2023

Multi-level Asymmetric Contrastive Learning for Medical Image Segmentation Pre-training.
CoRR, 2023

Branches Mutual Promotion for End-to-End Weakly Supervised Semantic Segmentation.
CoRR, 2023

SGLSA: Sphygmus gated laser speckle angiography for microcirculation hemodynamics imaging.
Comput. Medical Imaging Graph., 2023

2022
Triplet Cross-Fusion Learning for Unpaired Image Denoising in Optical Coherence Tomography.
IEEE Trans. Medical Imaging, 2022

Content-Noise Complementary Learning for Medical Image Denoising.
IEEE Trans. Medical Imaging, 2022

Boosting medical image segmentation via conditional-synergistic convolution and lesion decoupling.
Comput. Medical Imaging Graph., 2022

Bagging Regional Classification Activation Maps for Weakly Supervised Object Localization.
Proceedings of the Computer Vision - ECCV 2022, 2022

Weakly Supervised Object Localization as Domain Adaption.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

One-Pot Multi-Frame Denoising.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021
Weakly Supervised Deep Learning-Based Optical Coherence Tomography Angiography.
IEEE Trans. Medical Imaging, 2021

PMS-GAN: Parallel Multi-Stream Generative Adversarial Network for Multi-Material Decomposition in Spectral Computed Tomography.
IEEE Trans. Medical Imaging, 2021

Background-aware Classification Activation Map for Weakly Supervised Object Localization.
CoRR, 2021

A Label Management Mechanism for Retinal Fundus Image Classification of Diabetic Retinopathy.
CoRR, 2021

Unifying Nonlocal Blocks for Neural Networks.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Learning the Superpixel in a Non-Iterative and Lifelong Manner.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2019
Traditional machine learning for limited angle tomography.
Int. J. Comput. Assist. Radiol. Surg., 2019

2018
Traditional Machine Learning Techniques for Streak Artifact Reduction in Limited Angle Tomography.
Proceedings of the Bildverarbeitung für die Medizin 2018 - Algorithmen - Systeme, 2018

2016
Bridge to real data: Empirical multiple material calibration for learning-based material decomposition.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

3-D printing based production of head and neck masks for radiation therapy using CT volume data: A fully automatic framework.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2015
Projection-Based Denoising Method for Photon-Counting Energy-Resolving Detectors.
Proceedings of the Bildverarbeitung für die Medizin 2015, Algorithmen - Systeme, 2015

2013
Progress in the Development of CdZnTe Unipolar Detectors for Different Anode Geometries and Data Corrections.
Sensors, 2013


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