1 citations · 1 across the 6 of their papers we have counts for
6 papers
Explainable Action Form Assessment by Exploiting Multimodal Chain-of-Thoughts Reasoning
Mengshi Qi, Yeteng Wu, Wulian Yun +2
Evaluating whether human action is standard or not and providing reasonable feedback to improve action standardization is very crucial but challenging in real-world scenarios. Howe…
Chain-of-Evidence Multimodal Reasoning for Few-shot Temporal Action Localization
Mengshi Qi, Hongwei Ji, Wulian Yun +2
Traditional temporal action localization (TAL) methods rely on large amounts of detailed annotated data, whereas few-shot TAL reduces this dependence by using only a few training s…
A New Teacher-Reviewer-Student Framework for Semi-supervised 2D Human Pose Estimation
Wulian Yun, Mengshi Qi, Fei Peng +1
Conventional 2D human pose estimation methods typically require extensive labeled annotations, which are both labor-intensive and expensive. In contrast, semi-supervised 2D human p…
Semi-Supervised Teacher-Reference-Student Architecture for Action Quality Assessment
Wulian Yun, Mengshi Qi, Fei Peng +1
Existing action quality assessment (AQA) methods often require a large number of label annotations for fully supervised learning, which are laborious and expensive. In practice, th…
Weakly-Supervised Temporal Action Localization by Inferring Salient Snippet-Feature
Wulian Yun, Mengshi Qi, Chuanming Wang +1
Weakly-supervised temporal action localization aims to locate action regions and identify action categories in untrimmed videos simultaneously by taking only video-level labels as…
Coarse-to-Fine Video Denoising with Dual-Stage Spatial-Channel Transformer
Wulian Yun, Mengshi Qi, Chuanming Wang +2
Video denoising aims to recover high-quality frames from the noisy video. While most existing approaches adopt convolutional neural networks~(CNNs) to separate the noise from the o…