5 papers
Structure-Guided Diffusion Model for EEG-Based Visual Cognition Reconstruction
Yongxiang Lian, Yueyang Cang, Pingge Hu +2
Objective: Decoding visual information from electroencephalography (EEG) is an important problem in neuroscience and brain-computer interface (BCI) research. Existing methods are l…
Intelligent Pathological Diagnosis of Gestational Trophoblastic Diseases via Visual-Language Deep Learning Model
Yuhang Liu, Yueyang Cang, Wenge Que +12
The pathological diagnosis of gestational trophoblastic disease(GTD) takes a long time, relies heavily on the experience of pathologists, and the consistency of initial diagnosis i…
RetCompletion:High-Speed Inference Image Completion with Retentive Network
Yueyang Cang, Pingge Hu, Xiaoteng Zhang +3
Time cost is a major challenge in achieving high-quality pluralistic image completion. Recently, the Retentive Network (RetNet) in natural language processing offers a novel approa…
TSOM: Small Object Motion Detection Neural Network Inspired by Avian Visual Circuit
Pignge Hu, Xiaoteng Zhang, Mengmeng Li +2
Detecting small moving objects in complex backgrounds from an overhead perspective is a highly challenging task for machine vision systems. As an inspiration from nature, the avian…
Learning Invariant Rules from Data for Interpretable Anomaly Detection
Cheng Feng, Pingge Hu
In the research area of anomaly detection, novel and promising methods are frequently developed. However, most existing studies exclusively focus on the detection task only and ign…