25 citations · 27 across the 3 of their papers we have counts for
3 papers
cs.CV2022★ 2 cited
Pro-tuning: Unified Prompt Tuning for Vision Tasks
Xing Nie, Bolin Ni, Jianlong Chang +6
In computer vision, fine-tuning is the de-facto approach to leverage pre-trained vision models to perform downstream tasks. However, deploying it in practice is quite challenging,…
cs.LG2014★ 25 cited
10,000+ Times Accelerated Robust Subset Selection (ARSS)
Feiyun Zhu, Bin Fan, Xinliang Zhu +3
Subset selection from massive data with noised information is increasingly popular for various applications. This problem is still highly challenging as current methods are general…
cs.CV2014
Structured Sparse Method for Hyperspectral Unmixing
Feiyun Zhu, Ying Wang, Shiming Xiang +2
Hyperspectral Unmixing (HU) has received increasing attention in the past decades due to its ability of unveiling information latent in hyperspectral data. Unfortunately, most exis…