3 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.CV2024★ 1 cited
Two-stream joint matching method based on contrastive learning for few-shot action recognition
Long Deng, Ziqiang Li, Bingxin Zhou +3
Although few-shot action recognition based on metric learning paradigm has achieved significant success, it fails to address the following issues: (1) inadequate action relation mo…
math.NA2023★ 3 cited
Low-rank Tensor Train Decomposition Using TensorSketch
Zhongming Chen, Huilin Jiang, Gaohang Yu +1
Tensor train decomposition is one of the most powerful approaches for processing high-dimensional data. For low-rank tensor train decomposition of large tensors, the alternating le…
cs.CV2022
Forcing the Whole Video as Background: An Adversarial Learning Strategy for Weakly Temporal Action Localization
Ziqiang Li, Yongxin Ge, Jiaruo Yu +1
With video-level labels, weakly supervised temporal action localization (WTAL) applies a localization-by-classification paradigm to detect and classify the action in untrimmed vide…