14 citations · 33 across the 8 of their papers we have counts for
8 papers
Towards Spoken Language Understanding via Multi-level Multi-grained Contrastive Learning
Xuxin Cheng, Wanshi Xu, Zhihong Zhu +2
Spoken language understanding (SLU) is a core task in task-oriented dialogue systems, which aims at understanding the user's current goal through constructing semantic frames. SLU…
ML-LMCL: Mutual Learning and Large-Margin Contrastive Learning for Improving ASR Robustness in Spoken Language Understanding
Xuxin Cheng, Bowen Cao, Qichen Ye +3
Spoken language understanding (SLU) is a fundamental task in the task-oriented dialogue systems. However, the inevitable errors from automatic speech recognition (ASR) usually impa…
G2L: Semantically Aligned and Uniform Video Grounding via Geodesic and Game Theory
Hongxiang Li, Meng Cao, Xuxin Cheng +3
The recent video grounding works attempt to introduce vanilla contrastive learning into video grounding. However, we claim that this naive solution is suboptimal. Contrastive learn…
PoseRAC: Pose Saliency Transformer for Repetitive Action Counting
Ziyu Yao, Xuxin Cheng, Yuexian Zou
This paper presents a significant contribution to the field of repetitive action counting through the introduction of a new approach called Pose Saliency Representation. The propos…
SSVMR: Saliency-based Self-training for Video-Music Retrieval
Xuxin Cheng, Zhihong Zhu, Hongxiang Li +2
With the rise of short videos, the demand for selecting appropriate background music (BGM) for a video has increased significantly, video-music retrieval (VMR) task gradually draws…
Exploiting Auxiliary Caption for Video Grounding
Hongxiang Li, Meng Cao, Xuxin Cheng +3
Video grounding aims to locate a moment of interest matching the given query sentence from an untrimmed video. Previous works ignore the {sparsity dilemma} in video annotations, wh…
M3ST: Mix at Three Levels for Speech Translation
Xuxin Cheng, Qianqian Dong, Fengpeng Yue +3
How to solve the data scarcity problem for end-to-end speech-to-text translation (ST)? It's well known that data augmentation is an efficient method to improve performance for many…
A Dynamic Graph Interactive Framework with Label-Semantic Injection for Spoken Language Understanding
Zhihong Zhu, Weiyuan Xu, Xuxin Cheng +2
Multi-intent detection and slot filling joint models are gaining increasing traction since they are closer to complicated real-world scenarios. However, existing approaches (1) foc…