Search Results for author:
Found 5 papers, 2 papers with code
Semantic Feature Learning for Universal Unsupervised Cross-Domain Retrieval
Cutting-edge studies focus on achieving unsupervised CDR but typically assume that the category spaces across domains are identical, an assumption that is often unrealistic in real-world scenarios.
DACR: Distribution-Augmented Contrastive Reconstruction for Time-Series Anomaly Detection
Anomaly detection in time-series data is crucial for identifying faults, failures, threats, and outliers across a range of applications.
Contrastive Enhanced Slide Filter Mixer for Sequential Recommendation
Sequential recommendation (SR) aims to model user preferences by capturing behavior patterns from their item historical interaction data.
Frequency Enhanced Hybrid Attention Network for Sequential Recommendation
However, many recent studies represent that current self-attention based models are low-pass filters and are inadequate to capture high-frequency information.
Online Camera-to-ground Calibration for Autonomous Driving
Online camera-to-ground calibration is to generate a non-rigid body transformation between the camera and the road surface in a real-time manner.
