Nannan Li

Orcid: 0000-0003-4271-9198

Affiliations:

Dalian University of Technology, School of Mathematical Sciences, China

According to our database¹, Nannan Li authored at least 24 papers between 2015 and 2025.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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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

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

[BibT_eX]

[DOI]

Neurocomputing, 2025

2024

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

[BibT_eX]

[DOI]

Vis. Comput., October, 2024

Joints-Centered Spatial-Temporal Features Fused Skeleton Convolution Network for Action Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2024

Refining 3D Point Cloud Normal Estimation via Sample Selection.

[BibT_eX]

[DOI]

CoRR, 2024

Asymmetrical Siamese Network for Point Clouds Normal Estimation.

[BibT_eX]

[DOI]

CoRR, 2024

Robust and feature-preserving point denoising via adaptive scale selection mechanism.

[BibT_eX]

[DOI]

Commun. Inf. Syst., 2024

HieGeneNet: hierarchical implicit 3D shapes generation with single view images.

[BibT_eX]

[DOI]

Commun. Inf. Syst., 2024

GeoHi-GNN: Geometry-aware hierarchical graph representation learning for normal estimation.

[BibT_eX]

[DOI]

Comput. Aided Geom. Des., 2024

mvEchoSeg: One-shot In-context Learning for Multi-view Echocardiography Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2022

Multi-scale and multi-level shape descriptor learning via a hybrid fusion network.

[BibT_eX]

[DOI]

Graph. Model., 2022

2021

A Statistical Model of Spine Shape and Material for Population-Oriented Biomechanical Simulation.

[BibT_eX]

[DOI]

IEEE Access, 2021

2020

Adaptive and Feature-Preserving Bilateral Filters for Three-Dimensional Models.

[BibT_eX]

[DOI]

Nannan Li

Shaoyang Yue

Bo Jiang

Traitement du Signal, 2020

SAC-NMF-Driven Graphical Feature Analysis and Applications.

[BibT_eX]

[DOI]

Mach. Learn. Knowl. Extr., 2020

Non-rigid 3D shape retrieval based on multi-scale graphical image and joint Bayesian.

[BibT_eX]

[DOI]

Comput. Aided Geom. Des., 2020

Deep Neural Networks With Distance Distributions for Gender Recognition of 3D Human Shapes.

[BibT_eX]

[DOI]

IEEE Access, 2020

Adaptive and Feature-Preserving Mesh Denoising Schemes Based on Developmental Guidance.

[BibT_eX]

[DOI]

IEEE Access, 2020

2019

Edge-preserving filter with adaptive <i>L</i><sub>0</sub> gradient optimization.

[BibT_eX]

[DOI]

Int. J. Distributed Sens. Networks, 2019

Learning diffusion on global graph: A PDE-directed approach for feature detection on geometric shapes.

[BibT_eX]

[DOI]

Comput. Aided Geom. Des., 2019

Non-Rigid 3D Shape Retrieval Based on Multi-view Metric Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia & Expo Workshops, 2019

2018

An Efficient Algorithm for Finding the Minimum Perimeter Convex Hull of Disjoint Segments.

[BibT_eX]

[DOI]

Nan Li

Bo Jiang

Nannan Li

Proceedings of the 2nd International Conference on Computer Science and Application Engineering, 2018

2017

A High-Capacity 3D Steganography Algorithm With Adjustable Distortion.

[BibT_eX]

[DOI]

IEEE Access, 2017

2016

Generalized Local-to-Global Shape Feature Detection Based on Graph Wavelets.

[BibT_eX]

[DOI]

IEEE Trans. Vis. Comput. Graph., 2016

2015

Multi-scale mesh saliency based on low-rank and sparse analysis in shape feature space.

[BibT_eX]

[DOI]

Comput. Aided Geom. Des., 2015

Nannan Li

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