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Publication search results
found 108 matches
- 2021
- Stavros Nousias
, Gerasimos Arvanitis
, Aris S. Lalos
, Konstantinos Moustakas:
Fast Mesh Denoising With Data Driven Normal Filtering Using Deep Variational Autoencoders. IEEE Trans. Ind. Informatics 17(2): 980-990 (2021) - Wenbo Zhao
, Xianming Liu
, Shiqi Wang
, Xiaopeng Fan
, Debin Zhao
:
Graph-Based Feature-Preserving Mesh Normal Filtering. IEEE Trans. Vis. Comput. Graph. 27(3): 1937-1952 (2021) - 2020
- Wuli Wang, Liming Duan:
Bi-Normal Mesh Smoothing Based on Vertex Feature. IEEE Access 8: 171469-171478 (2020) - Zhi-Hui Luo, Meng-Wei Shi
, Zhuang Yang, Hong-Yu Zhang, Zhen-Xia Chen
:
pyMeSHSim: an integrative python package for biomedical named entity recognition, normalization, and comparison of MeSH terms. BMC Bioinform. 21(1): 252 (2020) - Zhiqi Li, Yingkui Zhang, Yidan Feng, Xingyu Xie, Qiong Wang, Mingqiang Wei, Pheng-Ann Heng:
NormalF-Net: Normal Filtering Neural Network for Feature-preserving Mesh Denoising. Comput. Aided Des. 127: 102861 (2020) - Hui Zhao, Kehua Su, Chenchen Li, Boyu Zhang, Lei Yang, Na Lei, Xiaoling Wang, Steven J. Gortler, Xianfeng Gu:
Mesh Parametrization Driven by Unit Normal Flow. Comput. Graph. Forum 39(1): 34-49 (2020) - Shinji Sakamoto, Leonard Barolli, Shusuke Okamoto:
Performance Comparison of CM and RDVM Router Replacement Methods for WMNs by WMN-PSOHC Hybrid Simulation System Considering Normal Distribution of Mesh Clients. 3PGCIC 2020: 9-17 - Miaohui Wang, Wuyuan Xie, Maolin Cui:
Surface Reconstruction with Unconnected Normal Maps: An Efficient Mesh-based Approach. ACM Multimedia 2020: 2617-2625 - Xianzhi Li, Ruihui Li, Lei Zhu, Chi-Wing Fu, Pheng-Ann Heng:
DNF-Net: a Deep Normal Filtering Network for Mesh Denoising. CoRR abs/2006.15510 (2020) - Lukas Baumgärtner, Ronny Bergmann, Marc Herrmann, Roland Herzog, Stephan Schmidt, José Vidal-Núñez:
Mesh Denoising and Inpainting using the Total Variation of the Normal. CoRR abs/2012.11748 (2020) - 2019
- Johannes Pfefferer, Max Winkler
:
Finite Element Error Estimates for Normal Derivatives on Boundary Concentrated Meshes. SIAM J. Numer. Anal. 57(5): 2043-2073 (2019) - Mingqiang Wei
, Jin Huang, Xingyu Xie
, Ligang Liu, Jun Wang
, Jing Qin
:
Mesh Denoising Guided by Patch Normal Co-Filtering via Kernel Low-Rank Recovery. IEEE Trans. Vis. Comput. Graph. 25(10): 2910-2926 (2019) - Seiji Ohara, Heidi Durresi, Admir Barolli, Shinji Sakamoto, Leonard Barolli:
A Hybrid Intelligent Simulation System for Node Placement in WMNs Considering Load Balancing: A Comparison Study for Exponential and Normal Distribution of Mesh Clients. BWCCA 2019: 555-569 - Nan Xiang, Li Wang, Tao Jiang, Yanran Li, Xiaosong Yang
, Jian-Jun Zhang:
Single-image Mesh Reconstruction and Pose Estimation via Generative Normal Map. CASA 2019: 79-84 - Taisuke Hashimoto, Masaki Saito:
Normal Estimation for Accurate 3D Mesh Reconstruction with Point Cloud Model Incorporating Spatial Structure. CVPR Workshops 2019: 54-63 - Stavros Nousias, Gerasimos Arvanitis
, Aris S. Lalos, Konstantinos Moustakas:
Fast mesh denoising with data driven normal filtering using deep autoencoders. INDIN 2019: 260-263 - Wenbo Zhao, Xianming Liu, Yongsen Zhao, Xiaopeng Fan, Debin Zhao:
NormalNet: Learning based Guided Normal Filtering for Mesh Denoising. CoRR abs/1903.04015 (2019) - 2018
- Bin Liu, Junjie Cao, Weiming Wang
, Ning Ma, Bo Li, Ligang Liu, Xiuping Liu:
Propagated mesh normal filtering. Comput. Graph. 74: 119-125 (2018) - Xianzhi Li, Lei Zhu, Chi-Wing Fu
, Pheng-Ann Heng
:
Non-Local Low-Rank Normal Filtering for Mesh Denoising. Comput. Graph. Forum 37(7): 155-166 (2018) - Jiaji Wu, Long Deng, Gwanggil Jeon
, Jechang Jeong:
GPU-parallel interpolation using the edge-direction based normal vector method for terrain triangular mesh. J. Real Time Image Process. 14(4): 813-822 (2018) - Shaohui Liu
, Seungmin Rho, Renjie Wang, Feng Jiang:
Feature-preserving mesh denoising based on guided normal filtering. Multim. Tools Appl. 77(17): 23009-23021 (2018) - Sunil Kumar Yadav
, Ulrich Reitebuch, Konrad Polthier:
Mesh Denoising Based on Normal Voting Tensor and Binary Optimization. IEEE Trans. Vis. Comput. Graph. 24(8): 2366-2379 (2018) - Shinji Sakamoto, Leonard Barolli, Shusuke Okamoto:
Performance Evaluation of WMNs for Normal and Uniform Distribution of Mesh Clients Using WMN-PSOSA Simulation System. INCoS 2018: 103-115 - Mohammed El Hassouni, Aladine Chetouani, Rachid Jennane
, Hocine Cherifi:
A new weighted normal-based filter for 3D mesh denoising. ISIVC 2018: 233-240 - Admir Barolli, Shinji Sakamoto, Leonard Barolli, Makoto Takizawa:
A Hybrid Simulation System Based on Particle Swarm Optimization and Distributed Genetic Algorithm for WMNs: Performance Evaluation Considering Normal and Uniform Distribution of Mesh Clients. NBiS 2018: 42-55 - 2017
- Xuequan Lu
, Wenzhi Chen, Scott Schaefer:
Robust mesh denoising via vertex pre-filtering and L1-median normal filtering. Comput. Aided Geom. Des. 54: 49-60 (2017) - Jooyoung Hahn
, Karol Mikula
, Peter Frolkovic
, Branislav Basara:
Inflow-Based Gradient Finite Volume Method for a Propagation in a Normal Direction in a Polyhedron Mesh. J. Sci. Comput. 72(1): 442-465 (2017) - Tao Li
, Jun Wang, Hao Liu, Ligang Liu:
Efficient mesh denoising via robust normal filtering and alternate vertex updating. Frontiers Inf. Technol. Electron. Eng. 18(11): 1828-1842 (2017) - Renjie Wang, Wenbo Zhao, Shaohui Liu, Debin Zhao, Chun Liu:
Feature-Preserving Mesh Denoising Based on Guided Normal Filtering. PCM (2) 2017: 920-927 - Eugeny U. Kostyuchenko
, Roman V. Meshcheryakov
, Dariya Ignatieva, Alexander Pyatkov, Evgeniy L. Choynzonov
, Lidiya N. Balatskaya:
Correlation Normalization of Syllables and Comparative Evaluation of Pronunciation Quality in Speech Rehabilitation. SPECOM 2017: 262-271
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