8 citations · 37 across the 19 of their papers we have counts for
38 papers
Exploiting Point-Language Models with Dual-Prompts for 3D Anomaly Detection
Jiaxiang Wang, Haote Xu, Xiaolu Chen +4
Anomaly detection (AD) in 3D point clouds is crucial in a wide range of industrial applications, especially in various forms of precision manufacturing. Considering the industrial…
Unsupervised Low-light Image Enhancement with Lookup Tables and Diffusion Priors
Yunlong Lin, Zhenqi Fu, Kairun Wen +7
Low-light image enhancement (LIE) aims at precisely and efficiently recovering an image degraded in poor illumination environments. Recent advanced LIE techniques are using deep ne…
Hint-dynamic Knowledge Distillation
Yiyang Liu, Chenxin Li, Xiaotong Tu +2
Knowledge Distillation (KD) transfers the knowledge from a high-capacity teacher model to promote a smaller student model. Existing efforts guide the distillation by matching their…
A Closer Look at Personalization in Federated Image Classification
Changxing Jing, Yan Huang, Yihong Zhuang +4
Federated Learning (FL) is developed to learn a single global model across the decentralized data, while is susceptible when realizing client-specific personalization in the presen…
AFSC: Adaptive Fourier Space Compression for Anomaly Detection
Haote Xu, Yunlong Zhang, Liyan Sun +3
Anomaly Detection (AD) on medical images enables a model to recognize any type of anomaly pattern without lesion-specific supervised learning. Data augmentation based methods const…
Acoustic-Net: A Novel Neural Network for Sound Localization and Quantification
Guanxing Zhou, Hao Liang, Xinghao Ding +3
Acoustic source localization has been applied in different fields, such as aeronautics and ocean science, generally using multiple microphones array data to reconstruct the source…