1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2025
Bridge the Gap: From Weak to Full Supervision for Temporal Action Localization with PseudoFormer
Ziyi Liu, Yangcen Liu
Weakly-supervised Temporal Action Localization (WTAL) has achieved notable success but still suffers from a lack of temporal annotations, leading to a performance and framework gap…
cs.CV2024★ 1 cited
STAT: Towards Generalizable Temporal Action Localization
Yangcen Liu, Ziyi Liu, Yuanhao Zhai +3
Weakly-supervised temporal action localization (WTAL) aims to recognize and localize action instances with only video-level labels. Despite the significant progress, existing metho…
cs.CV2023
SOAR: Scene-debiasing Open-set Action Recognition
Yuanhao Zhai, Ziyi Liu, Zhenyu Wu +5
Deep learning models have a risk of utilizing spurious clues to make predictions, such as recognizing actions based on the background scene. This issue can severely degrade the ope…