3 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.CL2023★ 3 cited
Unified Demonstration Retriever for In-Context Learning
Xiaonan Li, Kai Lv, Hang Yan +6
In-context learning is a new learning paradigm where a language model conditions on a few input-output pairs (demonstrations) and a test input, and directly outputs the prediction.…
cs.CV2022★ 1 cited
FN-Net:Remove the Outliers by Filtering the Noise
Kai Lv
Establishing the correspondence between two images is an important research direction of computer vision. When estimating the relationship between two images, it is often disturbed…
cs.CV2021
A region-based descriptor network for uniformly sampled keypoints
Kai Lv, Zongqing Lu, Qingmin Liao
Matching keypoint pairs of different images is a basic task of computer vision. Most methods require customized extremum point schemes to obtain the coordinates of feature points w…