Yongyi Su

According to our database, Yongyi Su authored at least 8 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

CLIP-guided Source-free Object Detection in Aerial Images.

Nanqing Liu, Xun Xu, Yongyi Su, Chengxin Liu, Peiliang Gong, Heng-Chao Li

CoRR, 2024

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

Yongyi Su, Xun Xu, Kui Jia

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

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

Yongyi Su, Xun Xu, Kui Jia

IEEE Trans. Circuits Syst. Video Technol., December, 2023

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

Haojie Zhang, Yongyi Su, Xun Xu, Kui Jia

CoRR, 2023

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

Yijin Chen, Xun Xu, Yongyi Su, Kui Jia

CoRR, 2023

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

Yongyi Su, Xun Xu, Tianrui Li, Kui Jia

CoRR, 2023

On the Robustness of Open-World Test-Time Training: Self-Training with Dynamic Prototype Expansion.

Yushu Li, Xun Xu, Yongyi Su, Kui Jia

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

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

Yongyi Su, Xun Xu, Kui Jia

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022