36 citations · 43 across the 8 of their papers we have counts for
8 papers
SoftPatch: Unsupervised Anomaly Detection with Noisy Data
Xi Jiang, Ying Chen, Qiang Nie +6
Although mainstream unsupervised anomaly detection (AD) algorithms perform well in academic datasets, their performance is limited in practical application due to the ideal experim…
Toward Multi-class Anomaly Detection: Exploring Class-aware Unified Model against Inter-class Interference
Xi Jiang, Ying Chen, Qiang Nie +4
In the context of high usability in single-class anomaly detection models, recent academic research has become concerned about the more complex multi-class anomaly detection. Altho…
FusionDepth: Complement Self-Supervised Monocular Depth Estimation with Cost Volume
Zhuofei Huang, Jianlin Liu, Shang Xu +2
Multi-view stereo depth estimation based on cost volume usually works better than self-supervised monocular depth estimation except for moving objects and low-textured surfaces. So…
NeRF-Loc: Visual Localization with Conditional Neural Radiance Field
Jianlin Liu, Qiang Nie, Yong Liu +1
We propose a novel visual re-localization method based on direct matching between the implicit 3D descriptors and the 2D image with transformer. A conditional neural radiance field…
G2PTL: A Pre-trained Model for Delivery Address and its Applications in Logistics System
Lixia Wu, Jianlin Liu, Junhong Lou +5
Text-based delivery addresses, as the data foundation for logistics systems, contain abundant and crucial location information. How to effectively encode the delivery address is a…
Rethinking Dimensionality Reduction in Grid-based 3D Object Detection
Dihe Huang, Ying Chen, Yikang Ding +7
Bird's eye view (BEV) is widely adopted by most of the current point cloud detectors due to the applicability of well-explored 2D detection techniques. However, existing methods ob…
Scatter Points in Space: 3D Detection from Multi-view Monocular Images
Jianlin Liu, Zhuofei Huang, Dihe Huang +3
3D object detection from monocular image(s) is a challenging and long-standing problem of computer vision. To combine information from different perspectives without troublesome 2D…
Guide Local Feature Matching by Overlap Estimation
Ying Chen, Dihe Huang, Shang Xu +2
Local image feature matching under large appearance, viewpoint, and distance changes is challenging yet important. Conventional methods detect and match tentative local features ac…