SATTC-CVPR2026
importedsoftware/sattc-cvpr2026
CVPR 2026 | Structure-aware label-free test-time calibration for cross-subject EEG-to-image retrieval.
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- active
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- arxiv.org/abs/2603.20738
- Repository
- github.com/QunjieHuang/SATTC-CVPR2026
- Documentation
- unknown
- Tags
- brain-computer-interface · computer-vision · cross-subject-generalization · csls · cvpr-2026 · eeg · eeg-to-image-retrieval · hubness
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- papersbrain-computer-interface · computer-vision
Summaries of machine learning papers
- aawedhabrain-computer-interface · eeg
Deep Learning toolbox for EEG based Brain-Computer Interface signals decoding and benchmarking
- AugmentedBCIFrameworkbrain-computer-interface · eeg
The UniPA BCI Framework is an Augmented Brain-Computer Interface framework based on the P300 paradigm with further additional modules to perform the acquisition of eye gaze and physiological features.
- BCI-Baselinebrain-computer-interface · eeg
Brain-Computer Interface EEG based data feature extraction and classification algorithms
- bcibrain-computer-interface · eeg
Framework for P300 wave detection and noise-based cyberattacks in Brain-Computer Interfaces - Enrique Tomás Martínez Beltrán
- bci_toolboxbrain-computer-interface · eeg
Classification toolbox for ERP and SSVEP based BCI data
- api.github.com/repos/QunjieHuang/SATTC-CVPR2026retrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2026-05-28, 8 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/4.json→ .entries["sattc-cvpr2026"]
Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.