5 papers
Unified Unsupervised Anomaly Detection via Matching Cost Filtering
Zhe Zhang, Mingxiu Cai, Gaochang Wu +5
Unsupervised anomaly detection (UAD) aims to identify image- and pixel-level anomalies using only normal training data, with wide applications such as industrial inspection and med…
LLM-PS: Empowering Large Language Models for Time Series Forecasting with Temporal Patterns and Semantics
Jialiang Tang, Shuo Chen, Chen Gong +2
Time Series Forecasting (TSF) is critical in many real-world domains like financial planning and health monitoring. Recent studies have revealed that Large Language Models (LLMs),…
PoseBench: Benchmarking the Robustness of Pose Estimation Models under Corruptions
Sihan Ma, Jing Zhang, Qiong Cao +1
Pose estimation aims to accurately identify anatomical keypoints in humans and animals using monocular images, which is crucial for various applications such as human-machine inter…
Contact-aware Human Motion Generation from Textual Descriptions
Sihan Ma, Qiong Cao, Jing Zhang +1
This paper addresses the problem of generating 3D interactive human motion from text. Given a textual description depicting the actions of different body parts in contact with stat…
A Survey on Self-supervised Learning: Algorithms, Applications, and Future Trends
Jie Gui, Tuo Chen, Jing Zhang +4
Deep supervised learning algorithms typically require a large volume of labeled data to achieve satisfactory performance. However, the process of collecting and labeling such data…