Chenxu Cui — accepted AI-conference papers

2026

Decompose and Transfer: CoT-Prompting Enhanced Alignment for Open-Vocabulary Temporal Action Detection

Sa Zhu, Wanqian Zhang, Lin Wang, Xiaohua Chen, Chenxu Cui, Jinchao Zhang +1

CVPR 2026

Open-Vocabulary Temporal Action Detection (OV-TAD) aims to classify and localize action segments in untrimmed videos for unseen categories. Previous methods rely solely on global alignment between label-level semantics and visual features, which is insufficient to transfer temporal consistent visual

Cited by 0 Source ↗Scholar ↗

2024

FUR-API: Dataset and Baselines Toward Realistic API Anomaly Detection

Yijun Liu, Honglan Yu, Feifei Dai, Xiaoyan Gu, Chenxu Cui, Bo Li +1

ICASSP 2024accepted

The Application Program Interface (API) security is crucial for data security as it ensures the safety and authority of data exchange between different applications. However, the absence of high-quality datasets significantly impedes the development of API anomaly detection. This paper presents a be…

Cited by 0 Source ↗Scholar ↗