Xianzhi Li

Orcid: 0000-0001-6835-5607

Affiliations:

Huazhong University of Science and Technology, Wuhan, China

According to our database¹, Xianzhi Li authored at least 48 papers between 2018 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

DTSNet: Dynamic Transformer Slimming for Efficient Vision Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2026

Rethinking Point Cloud Representation Learning for Freeing Transformer to Perceive Local.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2026

2025

JIMR: Joint Semantic and Geometry Learning for Point Scene Instance Mesh Reconstruction.

[BibT_eX]

[DOI]

IEEE Trans. Vis. Comput. Graph., August, 2025

PointDreamer: Zero-Shot 3D Textured Mesh Reconstruction From Colored Point Cloud.

[BibT_eX]

[DOI]

IEEE Trans. Vis. Comput. Graph., 2025

Geometrically-plausible and Semantically-consistent Generation of Indoor Panoramas.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

Fancy123: One Image to High-Quality 3D Mesh Generation via Plug-and-Play Deformation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

MoST: Efficient Monarch Sparse Tuning for 3D Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

SASep: Saliency-Aware Structured Separation of Geometry and Feature for Open Set Learning on Point Clouds.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

More Text, Less Point: Towards 3D Data-Efficient Point-Language Understanding.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Point-LGMask: Local and Global Contexts Embedding for Point Cloud Pre-Training With Multi-Ratio Masking.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2024

Efficient Crowd Counting via Dual Knowledge Distillation.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2024

Fancy123: One Image to High-Quality 3D Mesh Generation via Plug-and-Play Deformation.

[BibT_eX]

[DOI]

CoRR, 2024

RIDE: Boosting 3D Object Detection for LiDAR Point Clouds via Rotation-Invariant Analysis.

[BibT_eX]

[DOI]

CoRR, 2024

PointDreamer: Zero-shot 3D Textured Mesh Reconstruction from Colored Point Cloud by 2D Inpainting.

[BibT_eX]

[DOI]

CoRR, 2024

MiniGPT-3D: Efficiently Aligning 3D Point Clouds with Large Language Models using 2D Priors.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Mamba3D: Enhancing Local Features for 3D Point Cloud Analysis via State Space Model.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Geo-Encoder: A Chunk-Argument Bi-Encoder Framework for Chinese Geographic Re-Ranking.

[BibT_eX]

[DOI]

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

PDF: A Probability-Driven Framework for Open World 3D Point Cloud Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Point Set Self-Embedding.

[BibT_eX]

[DOI]

IEEE Trans. Vis. Comput. Graph., July, 2023

SKU-Patch: Towards Efficient Instance Segmentation for Unseen Objects in Auto-Store.

[BibT_eX]

[DOI]

CoRR, 2023

Point-Bind & Point-LLM: Aligning Point Cloud with Multi-modality for 3D Understanding, Generation, and Instruction Following.

[BibT_eX]

[DOI]

CoRR, 2023

Joint-MAE: 2D-3D Joint Masked Autoencoders for 3D Point Cloud Pre-training.

[BibT_eX]

[DOI]

Ziyu Guo

Xianzhi Li

Pheng-Ann Heng

CoRR, 2023

Prototypical Variational Autoencoder for 3D Few-shot Object Detection.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

V2Depth: Monocular Depth Estimation via Feature-Level Virtual-View Simulation and Refinement.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Joint-MAE: 2D-3D Joint Masked Autoencoders for 3D Point Cloud Pre-training.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

On Improving Boundary Quality of Instance Segmentation in Cluttered and Chaotic Scenarios.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Pay More Attention to Relation Exploration for Knowledge Base Question Answering.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

CasFusionNet: A Cascaded Network for Point Cloud Semantic Scene Completion by Dense Feature Fusion.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

A Rotation-Invariant Framework for Deep Point Cloud Analysis.

[BibT_eX]

[DOI]

IEEE Trans. Vis. Comput. Graph., 2022

TIF: Trajectory and Information Flow Coupling Mechanism for Behavior Analysis in Autonomous Driving.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2022

A Sim-to-Real Object Recognition and Localization Framework for Industrial Robotic Bin Picking.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2022

RePCD-Net: Feature-Aware Recurrent Point Cloud Denoising Network.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2022

Explore More Guidance: A Task-aware Instruction Network for Sign Language Translation Enhanced with Data Augmentation.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

SESR: Self-Ensembling Sim-to-Real Instance Segmentation for Auto-Store Bin Picking.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Towards Robust Part-aware Instance Segmentation for Industrial Bin Picking.

[BibT_eX]

[DOI]

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

SEPL-Net: A Semantics-Enhanced Pseudo Labeling Network for Semi-Supervised Image Analysis.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

2021

DNF-Net: A Deep Normal Filtering Network for Mesh Denoising.

[BibT_eX]

[DOI]

IEEE Trans. Vis. Comput. Graph., 2021

SP-GAN: sphere-guided 3D shape generation and manipulation.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2021

Data Fusion for Intelligent Crowd Monitoring and Management Systems: A Survey.

[BibT_eX]

[DOI]

Daniyal M. Alghazzawi

Yiming Miao

IEEE Access, 2021

Point Cloud Upsampling via Disentangled Refinement.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Unsupervised Detection of Distinctive Regions on 3D Shapes.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2020

Non-Local Part-Aware Point Cloud Denoising.

[BibT_eX]

[DOI]

CoRR, 2020

PointAugment: An Auto-Augmentation Framework for Point Cloud Classification.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Deep Floor Plan Recognition Using a Multi-Task Network With Room-Boundary-Guided Attention.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

PU-GAN: A Point Cloud Upsampling Adversarial Network.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Non-Local Low-Rank Normal Filtering for Mesh Denoising.

[BibT_eX]

[DOI]

Comput. Graph. Forum, 2018

EC-Net: An Edge-Aware Point Set Consolidation Network.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

PU-Net: Point Cloud Upsampling Network.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Xianzhi Li

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