Meng Ding

Orcid: 0000-0003-3125-3847

Affiliations:
  • Thermo Fisher Scientific
  • National Institutes of Health, National Library of Medicine, Bethesda, MD, USA (former)
  • Oklahoma State University, Stillwater, OK, USA (PhD 2015)


According to our database1, Meng Ding authored at least 23 papers between 2011 and 2022.

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

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2022
Attention Guided Global Enhancement and Local Refinement Network for Semantic Segmentation.
IEEE Trans. Image Process., 2022

Category Guided Attention Network for Brain Tumor Segmentation in MRI.
CoRR, 2022

2021
Multi-branch sharing network for real-time 3D brain tumor segmentation.
J. Real Time Image Process., 2021

Image-Based Iron Slag Segmentation via Graph Convolutional Networks.
Complex., 2021

TransBTS: Multimodal Brain Tumor Segmentation Using Transformer.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020
Dual Attention U-Net for Multi-sequence Cardiac MR Images Segmentation.
Proceedings of the Myocardial Pathology Segmentation Combining Multi-Sequence Cardiac Magnetic Resonance Images, 2020

2019
High Precision Dimensional Measurement with Convolutional Neural Network and Bi-Directional Long Short-Term Memory (LSTM).
Sensors, 2019

Dense Semantic Labeling with Atrous Spatial Pyramid Pooling and Decoder for High-Resolution Remote Sensing Imagery.
Remote. Sens., 2019

Real-Time Dense Semantic Labeling with Dual-Path Framework for High-Resolution Remote Sensing Image.
Remote. Sens., 2019

3D Dilated Multi-fiber Network for Real-Time Brain Tumor Segmentation in MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018
Efficient Patch-Wise Semantic Segmentation for Large-Scale Remote Sensing Images.
Sensors, 2018

A generalized parametric 3D shape representation for articulated pose estimation.
CoRR, 2018

2017
Video-Based Human Walking Estimation Using Joint Gait and Pose Manifolds.
IEEE Trans. Circuits Syst. Video Technol., 2017

Bilateral Two-Dimensional Neighborhood Preserving Discriminant Embedding for Face Recognition.
IEEE Access, 2017

2016
Articulated and Generalized Gaussian Kernel Correlation for Human Pose Estimation.
IEEE Trans. Image Process., 2016

2015
Multilayer Joint Gait-Pose Manifolds for Human Gait Motion Modeling.
IEEE Trans. Cybern., 2015

Generalized Sum of Gaussians for Real-Time Human Pose Tracking from a Single Depth Sensor.
Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision, 2015

Articulated Gaussian kernel correlation for human pose estimation.
Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2015

2014
Fast Human Pose Tracking with a Single Depth Sensor Using Sum of Gaussians Models.
Proceedings of the Advances in Visual Computing - 10th International Symposium, 2014

Non-rigid Point Set Registration with Global-Local Topology Preservation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
Multi-layer joint gait-pose manifold for human motion modeling.
Proceedings of the 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, 2013

2012
Structure-guided manifold learning for video-based motion estimation.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

2011
Gaussian process for human motion modeling: A comparative study.
Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011


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