7 papers · 1 filter
M3DM-NR: RGB-3D Noisy-Resistant Industrial Anomaly Detection via Multimodal Denoising
Chengjie Wang, Haokun Zhu, Jinlong Peng +5
Existing industrial anomaly detection methods primarily concentrate on unsupervised learning with pristine RGB images. Yet, both RGB and 3D data are crucial for anomaly detection,…
DMAD: Dual Memory Bank for Real-World Anomaly Detection
Jianlong Hu, Xu Chen, Zhenye Gan +7
Training a unified model is considered to be more suitable for practical industrial anomaly detection scenarios due to its generalization ability and storage efficiency. However, t…
UniM-OV3D: Uni-Modality Open-Vocabulary 3D Scene Understanding with Fine-Grained Feature Representation
Qingdong He, Jinlong Peng, Zhengkai Jiang +7
3D open-vocabulary scene understanding aims to recognize arbitrary novel categories beyond the base label space. However, existing works not only fail to fully utilize all the avai…
Stroke-based Neural Painting and Stylization with Dynamically Predicted Painting Region
Teng Hu, Ran Yi, Haokun Zhu +5
Stroke-based rendering aims to recreate an image with a set of strokes. Most existing methods render complex images using an uniform-block-dividing strategy, which leads to boundar…
Toward High Quality Facial Representation Learning
Yue Wang, Jinlong Peng, Jiangning Zhang +4
Face analysis tasks have a wide range of applications, but the universal facial representation has only been explored in a few works. In this paper, we explore high-performance pre…
FOLT: Fast Multiple Object Tracking from UAV-captured Videos Based on Optical Flow
Mufeng Yao, Jiaqi Wang, Jinlong Peng +2
Multiple object tracking (MOT) has been successfully investigated in computer vision. However, MOT for the videos captured by unmanned aerial vehicles (UAV) is still challenging du…