Jingyang Huo — accepted AI-conference papers

2024

Enhancing Cross-Subject fMRI-to-Video Decoding with Global-Local Functional Alignment

Chong Li*, Xuelin Qian, Yun Wang, Jingyang Huo, Xiangyang Xue*, Yanwei Fu* +1

ECCV 2024poster

"Advancements in brain imaging enable the decoding of thoughts and intentions from neural activities. However, the fMRI-to-video decoding of brain signals across multiple subjects encounters challenges arising from structural and coding disparities among individual brains, further compounded by the…

Cited by 5 Source ↗PDF ↗code ↗Scholar ↗

2024

NeuroPictor: Refining fMRI-to-Image Reconstruction via Multi-individual Pretraining and Multi-level Modulation

Jingyang Huo, Yikai Wang, Yanwei Fu*, Xuelin Qian, Chong Li, Yun Wang +1

ECCV 2024poster

"Recent fMRI-to-image approaches mainly focused on associating fMRI signals with specific conditions of pre-trained diffusion models. These approaches, while producing high-quality images, capture only a limited aspect of the complex information in fMRI signals and offer little detailed control over…

Cited by 14 Source ↗PDF ↗code ↗Scholar ↗