Mingjie Wang

Orcid: 0000-0002-7346-1110

Affiliations:

Zhejiang Sci-Tech University, School of Science, Hangzhou, China
University of Guelph, ON, Canada (PhD 2022)
Memorial University of Newfoundland, Department of Computer Science, Canada

According to our database¹, Mingjie Wang authored at least 29 papers between 2016 and 2025.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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In proceedings

Article

PhD thesis

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Bibliography

2025

Enhanced normal estimation of point clouds via fine-grained geometric information learning.

[BibT_eX]

[DOI]

Mach. Vis. Appl., March, 2025

FER-Former: Multimodal Transformer for Facial Expression Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2025

Fine-grained text and image guided point cloud completion with CLIP model.

[BibT_eX]

[DOI]

Neurocomputing, 2025

High-fidelity 3D Gaussian inpainting: Preserving multi-view consistency and photorealistic details.

[BibT_eX]

[DOI]

Comput. Graph., 2025

Open-World 3D Scene Understanding with Cross-Modal Dual Consistency Learning.

[BibT_eX]

[DOI]

Proceedings of the 2025 International Conference on Multimedia Retrieval, 2025

2024

Robust point cloud normal estimation via multi-level critical point aggregation.

[BibT_eX]

[DOI]

Vis. Comput., October, 2024

GCNet: Probing self-similarity learning for Generalized Counting Network.

[BibT_eX]

[DOI]

Pattern Recognit., 2024

Refining 3D Point Cloud Normal Estimation via Sample Selection.

[BibT_eX]

[DOI]

CoRR, 2024

Enhancing Zero-shot Counting via Language-guided Exemplar Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Language-Guided Zero-Shot Object Counting.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

2023

CrowdMLP: Weakly-supervised crowd counting via multi-granularity MLP.

[BibT_eX]

[DOI]

Pattern Recognit., December, 2023

Improvement of normal estimation for point clouds via simplifying surface fitting.

[BibT_eX]

[DOI]

Comput. Aided Des., August, 2023

STNet: Scale Tree Network With Multi-Level Auxiliator for Crowd Counting.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2023

FER-former: Multi-modal Transformer for Facial Expression Recognition.

[BibT_eX]

[DOI]

CoRR, 2023

Dynamic Mixture of Counter Network for Location-Agnostic Crowd Counting.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

2022

A robust framework for multi-view stereopsis.

[BibT_eX]

[DOI]

Vis. Comput., 2022

CrowdMLP: Weakly-Supervised Crowd Counting via Multi-Granularity MLP.

[BibT_eX]

[DOI]

CoRR, 2022

Fast and Accurate Normal Estimation for Point Clouds Via Patch Stitching.

[BibT_eX]

[DOI]

Comput. Aided Des., 2022

2021

Fine-grained talking face generation with video reinterpretation.

[BibT_eX]

[DOI]

Xin Huang

Mingjie Wang

Minglun Gong

Vis. Comput., 2021

Interlayer and intralayer scale aggregation for scale-invariant crowd counting.

[BibT_eX]

[DOI]

Neurocomputing, 2021

Improvement of Normal Estimation for PointClouds via Simplifying Surface Fitting.

[BibT_eX]

[DOI]

CoRR, 2021

Fast and Accurate Normal Estimation for Point Cloud via Patch Stitching.

[BibT_eX]

[DOI]

CoRR, 2021

2020

No-reference image sharpness assessment based on discrepancy measures of structural degradation.

[BibT_eX]

[DOI]

J. Vis. Commun. Image Represent., 2020

ADNet: Adaptively Dense Convolutional Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Stochastic Multi-Scale Aggregation Network for Crowd Counting.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Multi-Scale Convolution Aggregation and Stochastic Feature Reuse for DenseNets.

[BibT_eX]

[DOI]

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Semi-Dense Stereo Matching Using Dual CNNs.

[BibT_eX]

[DOI]

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Hierarchically-Fused Generative Adversarial Network for Text to Realistic Image Synthesis.

[BibT_eX]

[DOI]

Xin Huang

Mingjie Wang

Minglun Gong

Proceedings of the 16th Conference on Computer and Robot Vision, 2019

2016

An Algorithm of Detecting Moving Foreground Based on an Improved Gaussian Mixture Model.

[BibT_eX]

[DOI]

Proceedings of the Advances in Image and Graphics Technologies - 11th Chinese Conference, 2016

Mingjie Wang

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