3 papers
cs.NE2026
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…
cs.CV2026
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…
cs.CV2024
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…