Chuxin Wang
Orcid: 0000-0001-6477-9891
According to our database1,
Chuxin Wang
authored at least 21 papers
between 2020 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
CoRR, July, 2025
CoRR, June, 2025
StruMamba3D: Exploring Structural Mamba for Self-supervised Point Cloud Representation Learning.
CoRR, June, 2025
IEEE Trans. Image Process., 2025
Multi-step prediction of dissolved oxygen in fish pond aquaculture using feature reconstruction-based deep neural network.
Comput. Electron. Agric., 2025
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
An Adaptive Complex LISTA Network Exploiting Toeplitz Structure for TomoSAR 3D Reconstruction.
Proceedings of the 25th International Conference on Digital Signal Processing, 2025
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
2024
ScaleDepth: Decomposing Metric Depth Estimation into Scale Prediction and Relative Depth Estimation.
CoRR, 2024
CoRR, 2024
GTSinger: A Global Multi-Technique Singing Corpus with Realistic Music Scores for All Singing Tasks.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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
IEEE Trans. Circuits Syst. Video Technol., December, 2023
EC-Depth: Exploring the consistency of self-supervised monocular depth estimation under challenging scenes.
CoRR, 2023
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
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
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
2020
Proceedings of the Intelligent Computing Theories and Application, 2020