Yongyi Su

Weakly Supervised 3D Point Cloud Segmentation via Multi-Prototype Learning

K. Jia, Xun Xu, Yongyi Su, 2022, IEEE Transactions on Circuits and Systems for Video Technology.

Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering

K. Jia, Yongyi Su, Xun Xu, 2022, NeurIPS.

STFAR: Improving Object Detection Robustness at Test-Time by Self-Training with Feature Alignment Regularization

K. Jia, Xun Xu, Yongyi Su, 2023, ArXiv.

Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering Regularized Self-Training

K. Jia, Xun Xu, Tianrui Li, 2023, ArXiv.

Weakly Supervised 3D Point Cloud Segmentation via Multi-Prototype Learning

K. Jia, Xun Xu, Yongyi Su, 2022, IEEE Transactions on Circuits and Systems for Video Technology.

Towards Real-World Test-Time Adaptation: Tri-Net Self-Training with Balanced Normalization

K. Jia, Yongyi Su, Xun Xu, 2023, AAAI.

Improving the Generalization of Segmentation Foundation Model under Distribution Shift via Weakly Supervised Adaptation

Yongyi Su, Haojie Zhang, Kui Jia, 2023, ArXiv.