Fudan-fMRI/fMRI-Video
[ECCV 2024] Enhancing Cross-Subject fMRI-to-Video Decoding with Global-Local Functional Alignment Introduction fMRI-video dataset, 8 subjects (6 male and 2 female, aged 23-27, 3 for FCVID and 5 for WebVid) participated, and fMRI data are acquired using a 3T scanner and a 32-channel RF head coil, with the fMRI sampled at 1 frame per 0.8 seconds. In detail, stimuli videos of dimensions 256$\times$256 and 596$\times$336 are sourced from the FCVID video dataset and… See the full description on the dataset page: https://huggingface.co/datasets/Fudan-fMRI/fMRI-Video.
| Author / organization | Fudan-fMRI |
|---|---|
| License (as declared) | cc0-1.0 |
| Downloads | 190 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 12 July 2024 |
| Last updated at source | 16 June 2025 |
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- 16 Oct 2026 Description: [ECCV 2024] Enhancing Cross-Subject fMRI-to-Video Decoding with Global-Local Functional Alignment Introduction fMRI-video dataset, 8 subjects (6 male and 2 female, aged 23-27, 3 for FCVID and 5 for WebVid) participated, and fMRI data are ac → [ECCV 2024] Enhancing Cross-Subject fMRI-to-Video Decoding with Global-Local Functional Alignment Introduction fMRI-video dataset, 8 subjects (6 male and 2 female, aged 23-27, 3 for FCVID and 5 for WebVid) participated, and fMRI data are ac
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