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Vivek Buch

2 accepted papers

2024

Neural decoding from stereotactic EEG: accounting for electrode variability across subjects

NeurIPS 2024poster

Deep learning based neural decoding from stereotactic electroencephalography (sEEG) would likely benefit from scaling up both dataset and model size. To achieve this, combining data across multiple subjects is crucial. However, in sEEG cohorts, each subject has a variable number of electrodes placed…

Cited by 0SourcePDFScholar
2023

Beyond mAP: Towards Better Evaluation of Instance Segmentation

CVPR 2023highlight

Correctness of instance segmentation constitutes counting the number of objects, correctly localizing all predictions and classifying each localized prediction. Average Precision is the de-facto metric used to measure all these constituents of segmentation. However, this metric does not penalize dup…

Cited by 10SourcePDFScholar