2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CV2025
Temporal Action Detection Model Compression by Progressive Block Drop
Xiaoyong Chen, Yong Guo, Jiaming Liang +3
Temporal action detection (TAD) aims to identify and localize action instances in untrimmed videos, which is essential for various video understanding tasks. However, recent improv…
cs.DB2024★ 2 cited
FeatNavigator: Automatic Feature Augmentation on Tabular Data
Jiaming Liang, Chuan Lei, Xiao Qin +4
Data-centric AI focuses on understanding and utilizing high-quality, relevant data in training machine learning (ML) models, thereby increasing the likelihood of producing accurate…
cs.CV2024
Benchmarking the Robustness of Temporal Action Detection Models Against Temporal Corruptions
Runhao Zeng, Xiaoyong Chen, Jiaming Liang +3
Temporal action detection (TAD) aims to locate action positions and recognize action categories in long-term untrimmed videos. Although many methods have achieved promising results…