111 citations · 124 across the 3 of their papers we have counts for
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cs.CV2022★ 12 cited
Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering
Yongyi Su, Xun Xu, Kui Jia
Deploying models on target domain data subject to distribution shift requires adaptation. Test-time training (TTT) emerges as a solution to this adaptation under a realistic scenar…
cs.CV2021★ 1 cited
On Automatic Data Augmentation for 3D Point Cloud Classification
Wanyue Zhang, Xun Xu, Fayao Liu +2
Data augmentation is an important technique to reduce overfitting and improve learning performance, but existing works on data augmentation for 3D point cloud data are based on heu…
cs.CV2016★ 111 cited
Multi-Task Zero-Shot Action Recognition with Prioritised Data Augmentation
Xun Xu, Timothy M. Hospedales, Shaogang Gong
Zero-Shot Learning (ZSL) promises to scale visual recognition by bypassing the conventional model training requirement of annotated examples for every category. This is achieved by…