Mengnan Liu — accepted AI-conference papers

2025

Moment Quantization for Video Temporal Grounding

Xiaolong Sun, Le Wang, Sanping Zhou, Liushuai Shi, Kun Xia, Mengnan Liu +2

ICCV 2025poster

Video temporal grounding is a critical video understanding task, which aims to localize moments relevant to a language description. The challenge of this task lies in distinguishing relevant and irrelevant moments. Previous methods focused on learning continuous features exhibit weak differentiation…

Cited by 0 Source ↗PDF ↗code ↗Scholar ↗

2024

Stepwise Multi-grained Boundary Detector for Point-supervised Temporal Action Localization

Mengnan Liu, Le Wang*, Sanping Zhou, Kun Xia, Qi Wu, Qilin Zhang +1

ECCV 2024poster

"Point-supervised temporal action localization pursues high-accuracy action detection under low-cost data annotation. Despite recent advances, a significant challenge remains: sparse labeling of individual frames leads to semantic ambiguity in determining action boundaries due to the lack of continu…

Cited by 0 Source ↗PDF ↗Scholar ↗