Chuxin Wang

Orcid: 0000-0001-6477-9891

According to our database1, Chuxin Wang authored at least 13 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
GTSinger: A Global Multi-Technique Singing Corpus with Realistic Music Scores for All Singing Tasks.
CoRR, 2024

ScaleDepth: Decomposing Metric Depth Estimation into Scale Prediction and Relative Depth Estimation.
CoRR, 2024

Mamba24/8D: Enhancing Global Interaction in Point Clouds via State Space Model.
CoRR, 2024

TCSinger: Zero-Shot Singing Voice Synthesis with Style Transfer and Multi-Level Style Control.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023
Long-Short Range Adaptive Transformer With Dynamic Sampling for 3D Object Detection.
IEEE Trans. Circuits Syst. Video Technol., December, 2023

EC-Depth: Exploring the consistency of self-supervised monocular depth estimation under challenging scenes.
CoRR, 2023

A Spaceborne SAR Raw Data Simulation Method for Urban Scenes.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Not Every Side Is Equal: Localization Uncertainty Estimation for Semi-Supervised 3D Object Detection.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Query Refinement Transformer for 3D Instance Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

SE-ORNet: Self-Ensembling Orientation-Aware Network for Unsupervised Point Cloud Shape Correspondence.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2021
Learning Deep Attention Network from Incremental and Decremental Features for Evolving Features.
Sci. Program., 2021

Style-Based Point Generator With Adversarial Rendering for Point Cloud Completion.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Paying Deep Attention to Both Neighbors and Multiple Tasks.
Proceedings of the Intelligent Computing Theories and Application, 2020


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