Few-shot Action Recognition via Intra- and Inter-Video Information Maximization

no code implementations • 10 May 2023 • Huabin Liu, Weiyao Lin, Tieyuan Chen, Yuxi Li, Shuyuan Li, John See

The alignment model performs temporal and spatial action alignment sequentially at the feature level, leading to more precise measurements of inter-video similarity.

Few-Shot action recognition Few Shot Action Recognition +2

TA2N: Two-Stage Action Alignment Network for Few-shot Action Recognition

1 code implementation • 10 Jul 2021 • Shuyuan Li, Huabin Liu, Rui Qian, Yuxi Li, John See, Mengjuan Fei, Xiaoyuan Yu, Weiyao Lin

The first stage locates the action by learning a temporal affine transform, which warps each video feature to its action duration while dismissing the action-irrelevant feature (e. g. background).

Few-Shot action recognition Few Shot Action Recognition +2

ATRW: A Benchmark for Amur Tiger Re-identification in the Wild

1 code implementation • 13 Jun 2019 • Shuyuan Li, Jianguo Li, Hanlin Tang, Rui Qian, Weiyao Lin

This paper tries to fill the gap by introducing a novel large-scale dataset, the Amur Tiger Re-identification in the Wild (ATRW) dataset.