84 citations · 190 across the 15 of their papers we have counts for
5 papers · 1 filter
X-HRNet: Towards Lightweight Human Pose Estimation with Spatially Unidimensional Self-Attention
Yixuan Zhou, Xuanhan Wang, Xing Xu +2
High-resolution representation is necessary for human pose estimation to achieve high performance, and the ensuing problem is high computational complexity. In particular, predomin…
MSFlow: Multi-Scale Flow-based Framework for Unsupervised Anomaly Detection
Yixuan Zhou, Xing Xu, Jingkuan Song +2
Unsupervised anomaly detection (UAD) attracts a lot of research interest and drives widespread applications, where only anomaly-free samples are available for training. Some UAD ap…
Unifying Two-Stream Encoders with Transformers for Cross-Modal Retrieval
Yi Bin, Haoxuan Li, Yahui Xu +3
Most existing cross-modal retrieval methods employ two-stream encoders with different architectures for images and texts, \textit{e.g.}, CNN for images and RNN/Transformer for text…
Faster Video Moment Retrieval with Point-Level Supervision
Xun Jiang, Zailei Zhou, Xing Xu +3
Video Moment Retrieval (VMR) aims at retrieving the most relevant events from an untrimmed video with natural language queries. Existing VMR methods suffer from two defects: (1) ma…
AnoOnly: Semi-Supervised Anomaly Detection with the Only Loss on Anomalies
Yixuan Zhou, Peiyu Yang, Yi Qu +3
Semi-supervised anomaly detection (SSAD) methods have demonstrated their effectiveness in enhancing unsupervised anomaly detection (UAD) by leveraging few-shot but instructive abno…