activity
20212026
most citedSoftPatch: Unsupervised Anomaly Detection with Noisy Data

36 citations · 103 across the 38 of their papers we have counts for

collaborators
Showing 2026Show all

5 papers · 1 filter

cs.MM2026

FillGauss: Fine-Grained Filling-Aware Impact Sound Generation for 3D Gaussian Splatting

Chen Yang, Ganye Wen, Bin Huang +4

Synthesizing physically plausible impact sounds from visual observations remains a great challenge in multi-modal AI. Existing 3D-aware audio generation methods primarily model the…

cs.CV2026

REAL-OW: Rehearsal-free Open World Object Detection with Low-Rank Adaptation and Dual-Stage Objectness Modeling

Huazhong Zhang, Xiaowen Fu, Yang Zhang +2

Open-World Object Detection (OWOD) requires detectors to identify previously unseen objects as unknown and incrementally incorporate them into the set of known categories, while pr…

cs.RO2026

VGP-Nav: Metric-Aware Visual Geometric Perception for Robot Navigation

Hewei Pan, Weiye Zhu, Zekai Zhang +4

Reliable robotic navigation necessitates the seamless integration of accurate global localization and dense, metric-consistent obstacle perception. A common strategy to achieve the…

cs.CV2026

Learning Discriminative Signed Distance Functions from Multi-scale Level-of-detail Features for 3D Anomaly Detection

Haibo Xiao, Hanzhe Liang, Jie Zhou +2

Detecting anomalies from 3D point clouds has received increasing attention in the field of computer vision, with some group-based or point-based methods achieving impressive result…

cs.CV2026

Open-Set Supervised 3D Anomaly Detection: An Industrial Dataset and a Generalisable Framework for Unknown Defects

Hanzhe Liang, Luocheng Zhang, Junyang Xia +7

Although self-supervised 3D anomaly detection assumes that acquiring high-precision point clouds is computationally expensive, in real manufacturing scenarios it is often feasible…