Manning Wang

Orcid: 0000-0002-9255-3897

According to our database1, Manning Wang authored at least 82 papers between 2008 and 2024.

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

Timeline

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Bibliography

2024
SS-Pro: a simplified Siamese contrastive learning approach for protein surface representation.
Frontiers Comput. Sci., October, 2024

Wavelet-based spectrum transfer with collaborative learning for unsupervised bidirectional cross-modality domain adaptation on medical image segmentation.
Neural Comput. Appl., April, 2024

Decoupled deep hough voting for point cloud registration.
Frontiers Comput. Sci., April, 2024

Negative Instance Guided Self-Distillation Framework for Whole Slide Image Analysis.
IEEE J. Biomed. Health Informatics, February, 2024

Trans2Fuse: Empowering image fusion through self-supervised learning and multi-modal transformations via transformer networks.
Expert Syst. Appl., February, 2024

Boosting Point-BERT by Multi-Choice Tokens.
IEEE Trans. Circuits Syst. Video Technol., January, 2024

A comprehensive survey on deep active learning in medical image analysis.
Medical Image Anal., 2024

POS-BERT: Point cloud one-stage BERT pre-training.
Expert Syst. Appl., 2024

FAST: A Dual-tier Few-Shot Learning Paradigm for Whole Slide Image Classification.
CoRR, 2024

Rethinking Multiple Instance Learning: Developing an Instance-Level Classifier via Weakly-Supervised Self-Training.
CoRR, 2024

Towards Arbitrary-Scale Histopathology Image Super-resolution: An Efficient Dual-branch Framework via Implicit Self-texture Enhancement.
CoRR, 2024

Rethinking deep active learning for medical image segmentation: A diffusion and angle-based framework.
Biomed. Signal Process. Control., 2024

Complementary multi-modality molecular self-supervised learning via non-overlapping masking for property prediction.
Briefings Bioinform., 2024

Transformer-Based Video-Structure Multi-Instance Learning for Whole Slide Image Classification.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
A Structure-Aware Framework of Unsupervised Cross-Modality Domain Adaptation via Frequency and Spatial Knowledge Distillation.
IEEE Trans. Medical Imaging, December, 2023

A learnable self-supervised task for unsupervised domain adaptation on point cloud classification and segmentation.
Frontiers Comput. Sci., December, 2023

ProteinMAE: masked autoencoder for protein surface self-supervised learning.
Bioinform., December, 2023

Density-based one-shot active learning for image segmentation.
Eng. Appl. Artif. Intell., November, 2023

AIM-MEF: Multi-exposure image fusion based on adaptive information mining in both spatial and frequency domains.
Expert Syst. Appl., August, 2023

Dual-Branch Deep Point Cloud Registration Framework for Unconstrained Rotation.
IEEE Trans. Ind. Informatics, July, 2023

Robust Point Cloud Registration Framework Based on Deep Graph Matching.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

Rethinking multi-exposure image fusion with extreme and diverse exposure levels: A robust framework based on Fourier transform and contrastive learning.
Inf. Fusion, April, 2023

A comprehensive survey on deep active learning and its applications in medical image analysis.
CoRR, 2023

Knowledge Extraction and Distillation from Large-Scale Image-Text Colonoscopy Records Leveraging Large Language and Vision Models.
CoRR, 2023

Rethinking Multiple Instance Learning for Whole Slide Image Classification: A Good Instance Classifier is All You Need.
CoRR, 2023

Towards Arbitrary-scale Histopathology Image Super-resolution: An Efficient Dual-branch Framework based on Implicit Self-texture Enhancement.
CoRR, 2023

The Rise of AI Language Pathologists: Exploring Two-level Prompt Learning for Few-shot Weakly-supervised Whole Slide Image Classification.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

PI-NeRF: A Partial-Invertible Neural Radiance Fields for Pose Estimation.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

OpenAL: An Efficient Deep Active Learning Framework for Open-Set Pathology Image Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Boosting 3D Point Cloud Registration by Transferring Multi-modality Knowledge.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

PointMBF: A Multi-scale Bidirectional Fusion Network for Unsupervised RGB-D Point Cloud Registration.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Boosting Whole Slide Image Classification from the Perspectives of Distribution, Correlation and Magnification.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Reducing Domain Gap in Frequency and Spatial Domain for Cross-Modality Domain Adaptation on Medical Image Segmentation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Group-in-Group Relation-Based Transformer for 3D Point Cloud Learning.
Remote. Sens., 2022

Deep Graph Matching Based Dense Correspondence Learning Between Non-Rigid Point Clouds.
IEEE Robotics Autom. Lett., 2022

Efficient and Outlier-Robust Simultaneous Pose and Correspondence Determination by Branch-and-Bound and Transformation Decomposition.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Wavelet-based self-supervised learning for multi-scene image fusion.
Neural Comput. Appl., 2022

Deep active learning models for imbalanced image classification.
Knowl. Based Syst., 2022

Cold-start active learning for image classification.
Inf. Sci., 2022

Self-supervised learning and semi-supervised learning for multi-sequence medical image classification.
Neurocomputing, 2022

Globally Optimal Linear Model Fitting with Unit-Norm Constraint.
Int. J. Comput. Vis., 2022

Robust Point Cloud Registration Framework Based on Deep Graph Matching(TPAMI Version).
CoRR, 2022

Towards Label-efficient Automatic Diagnosis and Analysis: A Comprehensive Survey of Advanced Deep Learning-based Weakly-supervised, Semi-supervised and Self-supervised Techniques in Histopathological Image Analysis.
CoRR, 2022

Point-McBert: A Multi-choice Self-supervised Framework for Point Cloud Pre-training.
CoRR, 2022

POS-BERT: Point Cloud One-Stage BERT Pre-Training.
CoRR, 2022

Distillation with Contrast is All You Need for Self-Supervised Point Cloud Representation Learning.
CoRR, 2022

TransFuse: A Unified Transformer-based Image Fusion Framework using Self-supervised Learning.
CoRR, 2022

Bi-directional Weakly Supervised Knowledge Distillation for Whole Slide Image Classification.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

DGMIL: Distribution Guided Multiple Instance Learning for Whole Slide Image Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

MTSegNet: Semi-supervised Abdominal Organ Segmentation in CT.
Proceedings of the Fast and Low-Resource Semi-supervised Abdominal Organ Segmentation, 2022

PointCLM: A Contrastive Learning-based Framework for Multi-instance Point Cloud Registration.
Proceedings of the Computer Vision - ECCV 2022, 2022

Swin-Unet: Unet-Like Pure Transformer for Medical Image Segmentation.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

TransMEF: A Transformer-Based Multi-Exposure Image Fusion Framework Using Self-Supervised Multi-Task Learning.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Practical globally optimal consensus maximization by Branch-and-bound based on interval arithmetic.
Pattern Recognit., 2021

Multi-View Partial (MVP) Point Cloud Challenge 2021 on Completion and Registration: Methods and Results.
CoRR, 2021

A Learnable Self-supervised Task for Unsupervised Domain Adaptation on Point Clouds.
CoRR, 2021

WaveFuse: A Unified Unsupervised Framework for Image Fusion with Discrete Wavelet Transform.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

Robust Point Cloud Registration Framework Based on Deep Graph Matching.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Quality-Aware Model Ensemble for Brain Tumor Segmentation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

2020
GORFLM: Globally Optimal Robust Fitting for Linear Model.
Signal Process. Image Commun., 2020

Efficient Similarity Point Set Registration by Transformation Decomposition.
Sensors, 2020

Fast correspondence-based point cloud registration by pair-wise inlier checking and transformation decomposition.
Pattern Recognit. Lett., 2020

WaveFuse: A Unified Deep Framework for Image Fusion with Wavelet Transform.
CoRR, 2020

Point Cloud Overlapping Region Co-Segmentation Network.
Proceedings of the NeurIPS 2020 Workshop on Pre-registration in Machine Learning, 2020

2019
2D-3D Point Set Registration Based on Global Rotation Search.
IEEE Trans. Image Process., 2019

A Novel Method for the Absolute Pose Problem with Pairwise Constraints.
Remote. Sens., 2019

Image synthesis-based multi-modal image registration framework by using deep fully convolutional networks.
Medical Biol. Eng. Comput., 2019

Multi-Modal Image Registration Based on Multi-Feature Mutual Information.
J. Medical Imaging Health Informatics, 2019

Regional-surface-based registration for image-guided neurosurgery: effects of scan modes on registration accuracy.
Int. J. Comput. Assist. Radiol. Surg., 2019

Organ at Risk Segmentation in Head and Neck CT Images Using a Two-Stage Segmentation Framework Based on 3D U-Net.
IEEE Access, 2019

An Augmentation Strategy for Medical Image Processing Based on Statistical Shape Model and 3D Thin Plate Spline for Deep Learning.
IEEE Access, 2019

GO-APSR: A Globally Optimal Affine Point Set Registration Method.
IEEE Access, 2019

2018
Fast and Globally Optimal Rigid Registration of 3D Point Sets by Transformation Decomposition.
CoRR, 2018

Organ at Risk Segmentation in Head and Neck CT Images by Using a Two-Stage Segmentation Framework Based on 3D U-Net.
CoRR, 2018

Efficient Global Point Cloud Registration by Matching Rotation Invariant Features Through Translation Search.
Proceedings of the Computer Vision - ECCV 2018, 2018

2017
Multimodal image registration based on binary gradient angle descriptor.
Int. J. Comput. Assist. Radiol. Surg., 2017

4 Collinear Points: Robust Point Set Registration Using Cross Ratio Invariance.
Proceedings of the Computer Vision - Second CCF Chinese Conference, 2017

2016
miLBP: a robust and fast modality-independent 3D LBP for multimodal deformable registration.
Int. J. Comput. Assist. Radiol. Surg., 2016

2011
A Brain-Deformation Framework Based on a Linear Elastic Model and Evaluation Using Clinical Data.
IEEE Trans. Biomed. Eng., 2011

2009
Automatic localization of the center of fiducial markers in 3D CT/MRI images for image-guided neurosurgery.
Pattern Recognit. Lett., 2009

2008
Automatic Detection of Fiducial Marker Center Based on Shape Index and Curvedness.
Proceedings of the Medical Imaging and Augmented Reality, 4th International Workshop, 2008

Multi-step 3D/2D Image Registration for Image-guided Spinal Surgery.
Proceedings of the 2008 International Conference on BioMedical Engineering and Informatics, 2008


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