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ORCIDMingjie Wang 0002
Person information
- affiliation: Zhejiang Sci-Tech University, School of Science, Hangzhou, China
- affiliation (PhD 2022): University of Guelph, ON, Canada
- affiliation: Memorial University of Newfoundland, Department of Computer Science, Canada
Other persons with the same name
- Mingjie Wang — disambiguation page
- Mingjie Wang 0001
![[0000-0002-2419-8117]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-2419-8117")
— BNU-HKBU, United International College (UIC), Department of Computer Science, Zhuhai, China (and 1 more)
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2020 – today
- 2025
[j13]Jun Zhou, Wei Song, Mingjie Wang, Hongchen Tan, Nannan Li, Xiuping Liu:
Fine-grained text and image guided point cloud completion with CLIP model. Neurocomputing 631: 129768 (2025)- [j12]Wei Jin, Jun Zhou, Mingjie Wang, Nannan Li, Weixiao Wang, Xiuping Liu:
Enhanced normal estimation of point clouds via fine-grained geometric information learning. Mach. Vis. Appl. 36(2): 51 (2025) - [j11]Yande Li, Mingjie Wang, Minglun Gong, Yonggang Lu, Li Liu:
FER-Former: Multimodal Transformer for Facial Expression Recognition. IEEE Trans. Multim. 27: 2412-2422 (2025) - [c9]Xian-Feng Han, Chuyu Wang, Yuhang Wang, Mingjie Wang:
Open-World 3D Scene Understanding with Cross-Modal Dual Consistency Learning. ICMR 2025: 416-423 - [i13]Jun Zhou, Dinghao Li, Nannan Li, Mingjie Wang:
High-fidelity 3D Gaussian Inpainting: preserving multi-view consistency and photorealistic details. CoRR abs/2507.18023 (2025) - 2024
- [j10]Mingjie Wang, Yande Li, Jun Zhou, Graham W. Taylor, Minglun Gong:
GCNet: Probing self-similarity learning for Generalized Counting Network. Pattern Recognit. 153: 110513 (2024) - [j9]Jun Zhou, Yaoshun Li, Mingjie Wang, Nannan Li, Zhiyang Li, Weixiao Wang:
Robust point cloud normal estimation via multi-level critical point aggregation. Vis. Comput. 40(10): 7369-7384 (2024) - [c8]Mingjie Wang, Song Yuan, Zhuohang Li, Longlong Zhu, Eric Buys, Minglun Gong:
Language-Guided Zero-Shot Object Counting. ICME Workshops 2024: 1-6 - [i12]Mingjie Wang, Jun Zhou, Yong Dai, Eric Buys, Minglun Gong:
Enhancing Zero-shot Counting via Language-guided Exemplar Learning. CoRR abs/2402.05394 (2024) - [i11]Jun Zhou, Yaoshun Li, Hongchen Tan, Mingjie Wang, Nannan Li, Xiuping Liu:
Refining 3D Point Cloud Normal Estimation via Sample Selection. CoRR abs/2406.18541 (2024) - 2023
- [j8]Jun Zhou, Wei Jin, Mingjie Wang, Xiuping Liu, Zhiyang Li, Zhaobin Liu:
Improvement of normal estimation for point clouds via simplifying surface fitting. Comput. Aided Des. 161: 103533 (2023) - [j7]Mingjie Wang, Jun Zhou, Hao Cai, Minglun Gong:
CrowdMLP: Weakly-supervised crowd counting via multi-granularity MLP. Pattern Recognit. 144: 109830 (2023) - [j6]Mingjie Wang, Hao Cai, Xian-Feng Han, Jun Zhou, Minglun Gong:
STNet: Scale Tree Network With Multi-Level Auxiliator for Crowd Counting. IEEE Trans. Multim. 25: 2074-2084 (2023) - [c7]Mingjie Wang, Hao Cai, Yong Dai, Minglun Gong:
Dynamic Mixture of Counter Network for Location-Agnostic Crowd Counting. WACV 2023: 167-177 - [i10]Mingjie Wang, Yande Li, Jun Zhou, Graham W. Taylor, Minglun Gong:
GCNet: Probing Self-Similarity Learning for Generalized Counting Network. CoRR abs/2302.05132 (2023) - [i9]Yande Li, Mingjie Wang, Minglun Gong, Yonggang Lu, Li Liu:
FER-former: Multi-modal Transformer for Facial Expression Recognition. CoRR abs/2303.12997 (2023) - [i8]Wei Song, Jun Zhou, Mingjie Wang, Hongchen Tan, Nannan Li, Xiuping Liu:
Fine-grained Text and Image Guided Point Cloud Completion with CLIP Model. CoRR abs/2308.08754 (2023) - 2022
- [j5]Jun Zhou, Wei Jin, Mingjie Wang, Xiuping Liu, Zhiyang Li, Zhaobin Liu:
Fast and Accurate Normal Estimation for Point Clouds Via Patch Stitching. Comput. Aided Des. 142: 103121 (2022) - [j4]Wendong Mao, Mingjie Wang, Hui Huang, Minglun Gong:
A robust framework for multi-view stereopsis. Vis. Comput. 38(5): 1539-1551 (2022) - [i7]Mingjie Wang, Jun Zhou, Hao Cai, Minglun Gong:
CrowdMLP: Weakly-Supervised Crowd Counting via Multi-Granularity MLP. CoRR abs/2203.08219 (2022) - 2021
- [j3]Mingjie Wang, Hao Cai, Jun Zhou, Minglun Gong:
Interlayer and intralayer scale aggregation for scale-invariant crowd counting. Neurocomputing 441: 128-137 (2021) - [j2]Xin Huang, Mingjie Wang, Minglun Gong:
Fine-grained talking face generation with video reinterpretation. Vis. Comput. 37(1): 95-105 (2021) - [i6]Jun Zhou, Wei Jin, Mingjie Wang, Xiuping Liu, Zhiyang Li, Zhaobin Liu:
Fast and Accurate Normal Estimation for Point Cloud via Patch Stitching. CoRR abs/2103.16066 (2021) - [i5]Jun Zhou, Wei Jin, Mingjie Wang, Xiuping Liu, Zhiyang Li, Zhaobin Liu:
Improvement of Normal Estimation for PointClouds via Simplifying Surface Fitting. CoRR abs/2104.10369 (2021) - 2020
- [j1]Hao Cai, Mingjie Wang, Wendong Mao, Minglun Gong:
No-reference image sharpness assessment based on discrepancy measures of structural degradation. J. Vis. Commun. Image Represent. 71: 102861 (2020) - [c6]Mingjie Wang, Hao Cai, Jun Zhou, Minglun Gong:
Stochastic Multi-Scale Aggregation Network for Crowd Counting. ICASSP 2020: 2008-2012 - [c5]Mingjie Wang, Hao Cai, Xin Huang, Minglun Gong:
ADNet: Adaptively Dense Convolutional Neural Networks. WACV 2020: 990-999 - [i4]Mingjie Wang, Hao Cai, Jun Zhou, Minglun Gong:
Interlayer and Intralayer Scale Aggregation for Scale-invariant Crowd Counting. CoRR abs/2005.11943 (2020) - [i3]Mingjie Wang, Hao Cai, Xian-Feng Han, Jun Zhou, Minglun Gong:
STNet: Scale Tree Network with Multi-level Auxiliator for Crowd Counting. CoRR abs/2012.10189 (2020)
2010 – 2019
- 2019
- [c4]Xin Huang, Mingjie Wang, Minglun Gong:
Hierarchically-Fused Generative Adversarial Network for Text to Realistic Image Synthesis. CRV 2019: 73-80 - [c3]Mingjie Wang, Jun Zhou, Wendong Mao, Minglun Gong:
Multi-Scale Convolution Aggregation and Stochastic Feature Reuse for DenseNets. WACV 2019: 321-330 - [c2]Wendong Mao, Mingjie Wang, Jun Zhou, Minglun Gong:
Semi-Dense Stereo Matching Using Dual CNNs. WACV 2019: 1588-1597 - 2018
- [i2]Wendong Mao, Mingjie Wang, Jun Zhou, Minglun Gong:
Semi-dense Stereo Matching using Dual CNNs. CoRR abs/1810.01369 (2018) - [i1]Mingjie Wang, Jun Zhou, Wendong Mao, Minglun Gong:
Multi-scale Convolution Aggregation and Stochastic Feature Reuse for DenseNets. CoRR abs/1810.01373 (2018) - 2016
- [c1]Mingjie Wang, Jesse S. Jin, Xian-Feng Han, Wei Jiang, Yifei Jing, Lei Gao, Liping Xiao:
An Algorithm of Detecting Moving Foreground Based on an Improved Gaussian Mixture Model. IGTA 2016: 125-136
Coauthor Index
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