4 citations · 4 across the 2 of their papers we have counts for
3 papers
cs.CV2023★ 4 cited
Few-shot Action Recognition via Intra- and Inter-Video Information Maximization
Huabin Liu, Weiyao Lin, Tieyuan Chen +3
Current few-shot action recognition involves two primary sources of information for classification:(1) intra-video information, determined by frame content within a single video cl…
cs.CV2022
Task-adaptive Spatial-Temporal Video Sampler for Few-shot Action Recognition
Huabin Liu, Weixian Lv, John See +1
A primary challenge faced in few-shot action recognition is inadequate video data for training. To address this issue, current methods in this field mainly focus on devising algori…
cs.CV2021
TA2N: Two-Stage Action Alignment Network for Few-shot Action Recognition
Shuyuan Li, Huabin Liu, Rui Qian +5
Few-shot action recognition aims to recognize novel action classes (query) using just a few samples (support). The majority of current approaches follow the metric learning paradig…