Xianzhi Li

Orcid: 0000-0001-6835-5607

According to our database1, Xianzhi Li authored at least 43 papers between 2010 and 2024.

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Bibliography

2024
Efficient Crowd Counting via Dual Knowledge Distillation.
IEEE Trans. Image Process., 2024

Geo-Encoder: A Chunk-Argument Bi-Encoder Framework for Chinese Geographic Re-Ranking.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023
Point Set Self-Embedding.
IEEE Trans. Vis. Comput. Graph., July, 2023

Surround-View Fisheye BEV-Perception for Valet Parking: Dataset, Baseline and Distortion-Insensitive Multi-Task Framework.
IEEE Trans. Intell. Veh., March, 2023

SKU-Patch: Towards Efficient Instance Segmentation for Unseen Objects in Auto-Store.
CoRR, 2023

Point-Bind & Point-LLM: Aligning Point Cloud with Multi-modality for 3D Understanding, Generation, and Instruction Following.
CoRR, 2023

ChatGPT as Data Augmentation for Compositional Generalization: A Case Study in Open Intent Detection.
CoRR, 2023

Learning Monocular Depth in Dynamic Environment via Context-aware Temporal Attention.
CoRR, 2023

Are ChatGPT and GPT-4 General-Purpose Solvers for Financial Text Analytics? An Examination on Several Typical Tasks.
CoRR, 2023

Pay More Attention to Relation Exploration for Knowledge Base Question Answering.
CoRR, 2023

Joint-MAE: 2D-3D Joint Masked Autoencoders for 3D Point Cloud Pre-training.
CoRR, 2023

Prototypical Variational Autoencoder for 3D Few-shot Object Detection.
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.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Joint-MAE: 2D-3D Joint Masked Autoencoders for 3D Point Cloud Pre-training.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

On Improving Boundary Quality of Instance Segmentation in Cluttered and Chaotic Scenarios.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Are ChatGPT and GPT-4 General-Purpose Solvers for Financial Text Analytics? A Study on Several Typical Tasks.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023

Pay More Attention to Relation Exploration for Knowledge Base Question Answering.
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.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Attention-Based Depth Distillation with 3D-Aware Positional Encoding for Monocular 3D Object Detection.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
A Rotation-Invariant Framework for Deep Point Cloud Analysis.
IEEE Trans. Vis. Comput. Graph., 2022

TIF: Trajectory and Information Flow Coupling Mechanism for Behavior Analysis in Autonomous Driving.
IEEE Trans. Intell. Transp. Syst., 2022

A Sim-to-Real Object Recognition and Localization Framework for Industrial Robotic Bin Picking.
IEEE Robotics Autom. Lett., 2022

RePCD-Net: Feature-Aware Recurrent Point Cloud Denoising Network.
Int. J. Comput. Vis., 2022

Learning Better Intent Representations for Financial Open Intent Classification.
CoRR, 2022

Explore More Guidance: A Task-aware Instruction Network for Sign Language Translation Enhanced with Data Augmentation.
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.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Towards Robust Part-aware Instance Segmentation for Industrial Bin Picking.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

SEPL-Net: A Semantics-Enhanced Pseudo Labeling Network for Semi-Supervised Image Analysis.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

2021
DNF-Net: A Deep Normal Filtering Network for Mesh Denoising.
IEEE Trans. Vis. Comput. Graph., 2021

SP-GAN: sphere-guided 3D shape generation and manipulation.
ACM Trans. Graph., 2021

Data Fusion for Intelligent Crowd Monitoring and Management Systems: A Survey.
IEEE Access, 2021

Point Cloud Upsampling via Disentangled Refinement.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Unsupervised Detection of Distinctive Regions on 3D Shapes.
ACM Trans. Graph., 2020

E-DBPN: Enhanced Deep Back-Projection Networks for Remote Sensing Scene Image Superresolution.
IEEE Trans. Geosci. Remote. Sens., 2020

Attention GANs: Unsupervised Deep Feature Learning for Aerial Scene Classification.
IEEE Trans. Geosci. Remote. Sens., 2020

Non-Local Part-Aware Point Cloud Denoising.
CoRR, 2020

PointAugment: An Auto-Augmentation Framework for Point Cloud Classification.
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.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

PU-GAN: A Point Cloud Upsampling Adversarial Network.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Non-Local Low-Rank Normal Filtering for Mesh Denoising.
Comput. Graph. Forum, 2018

EC-Net: An Edge-Aware Point Set Consolidation Network.
Proceedings of the Computer Vision - ECCV 2018, 2018

PU-Net: Point Cloud Upsampling Network.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2010
A Novel Power Supply of Online Monitoring Systems for Power Transmission Lines.
IEEE Trans. Ind. Electron., 2010


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