3 papers
cs.CV2025
URNet: Uncertainty-aware Refinement Network for Event-based Stereo Depth Estimation
Yifeng Cheng, Alois Knoll, Hu Cao
Event cameras provide high temporal resolution, high dynamic range, and low latency, offering significant advantages over conventional frame-based cameras. In this work, we introdu…
cs.CV2025
IAENet: An Importance-Aware Ensemble Model for 3D Point Cloud-Based Anomaly Detection
Xuanming Cao, Chengyu Tao, Yifeng Cheng +1
Surface anomaly detection is pivotal for ensuring product quality in industrial manufacturing. While 2D image-based methods have achieved remarkable success, 3D point cloud-based d…
cs.GR2025
3D-PNAS: 3D Industrial Surface Anomaly Synthesis with Perlin Noise
Yifeng Cheng, Juan Du
Large pretrained vision foundation models have shown significant potential in various vision tasks. However, for industrial anomaly detection, the scarcity of real defect samples p…