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2020 – today
- 2024
[j2]Yongyi Su
, Xun Xu, Tianrui Li, Kui Jia:
Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering Regularized Self-Training. IEEE Trans. Pattern Anal. Mach. Intell. 46(8): 5524-5540 (2024)- [c3]Yongyi Su, Xun Xu, Kui Jia:
Towards Real-World Test-Time Adaptation: Tri-net Self-Training with Balanced Normalization. AAAI 2024: 15126-15135 - [i9]Nanqing Liu, Xun Xu, Yongyi Su, Chengxin Liu, Peiliang Gong, Heng-Chao Li:
CLIP-guided Source-free Object Detection in Aerial Images. CoRR abs/2401.05168 (2024) - [i8]Yushu Li, Yongyi Su, Xulei Yang, Kui Jia, Xun Xu:
Exploring Human-in-the-Loop Test-Time Adaptation by Synergizing Active Learning and Model Selection. CoRR abs/2405.18911 (2024) - 2023
- [j1]Yongyi Su, Xun Xu, Kui Jia:
Weakly Supervised 3D Point Cloud Segmentation via Multi-Prototype Learning. IEEE Trans. Circuits Syst. Video Technol. 33(12): 7723-7736 (2023) - [c2]Yushu Li, Xun Xu, Yongyi Su, Kui Jia:
On the Robustness of Open-World Test-Time Training: Self-Training with Dynamic Prototype Expansion. ICCV 2023: 11802-11812 - [i7]Yongyi Su, Xun Xu, Tianrui Li, Kui Jia:
Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering Regularized Self-Training. CoRR abs/2303.10856 (2023) - [i6]Yijin Chen, Xun Xu, Yongyi Su, Kui Jia:
STFAR: Improving Object Detection Robustness at Test-Time by Self-Training with Feature Alignment Regularization. CoRR abs/2303.17937 (2023) - [i5]Yushu Li, Xun Xu, Yongyi Su, Kui Jia:
On the Robustness of Open-World Test-Time Training: Self-Training with Dynamic Prototype Expansion. CoRR abs/2308.09942 (2023) - [i4]Yongyi Su, Xun Xu, Kui Jia:
Towards Real-World Test-Time Adaptation: Tri-Net Self-Training with Balanced Normalization. CoRR abs/2309.14949 (2023) - [i3]Haojie Zhang, Yongyi Su, Xun Xu, Kui Jia:
Improving the Generalization of Segmentation Foundation Model under Distribution Shift via Weakly Supervised Adaptation. CoRR abs/2312.03502 (2023) - 2022
- [c1]Yongyi Su, Xun Xu, Kui Jia:
Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering. NeurIPS 2022 - [i2]Yongyi Su, Xun Xu, Kui Jia:
Weakly Supervised 3D Point Cloud Segmentation via Multi-Prototype Learning. CoRR abs/2205.03137 (2022) - [i1]Yongyi Su, Xun Xu, Kui Jia:
Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering. CoRR abs/2206.02721 (2022)
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