85 citations · 261 across the 24 of their papers we have counts for
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cs.CV2025
Generative Model-Based Feature Attention Module for Video Action Analysis
Guiqin Wang, Peng Zhao, Cong Zhao +3
Video action analysis is a foundational technology within the realm of intelligent video comprehension, particularly concerning its application in Internet of Things(IoT). However,…
cs.CV2023
Generative Model-based Feature Knowledge Distillation for Action Recognition
Guiqin Wang, Peng Zhao, Yanjiang Shi +2
Knowledge distillation (KD), a technique widely employed in computer vision, has emerged as a de facto standard for improving the performance of small neural networks. However, pre…
cs.CV2023
Weakly-Supervised Action Localization by Hierarchically-structured Latent Attention Modeling
Guiqin Wang, Peng Zhao, Cong Zhao +5
Weakly-supervised action localization aims to recognize and localize action instancese in untrimmed videos with only video-level labels. Most existing models rely on multiple insta…