7 citations · 7 across the 4 of their papers we have counts for
5 papers
Structured Visual Target Learning For Cross-Subject eeg-to-image retrieval
Salini Yadav, Taveena Lotey, Mickaël Coustaty +2
Cross-subject EEG-to-image retrieval requires a neural represen- tation trained on source subjects to remain aligned with a visual embedding space for an unseen subject. Whereas ex…
What Does the Brain See? Multiview Neural Representations to Demystify the Brain-Visual Alignment
Salini Yadav, Taveena Lotey, Pravendra Singh +1
Zero-shot visual decoding from electroencephalography (EEG) aims to infer visual semantics from non-invasive neural recordings, but remains challenging due to the low signal-to-noi…
EEG-Based Mental Imagery Task Adaptation via Ensemble of Weight-Decomposed Low-Rank Adapters
Taveena Lotey, Aman Verma, Partha Pratim Roy
Electroencephalography (EEG) is widely researched for neural decoding in Brain Computer Interfaces (BCIs) as it is non-invasive, portable, and economical. However, EEG signals suff…
Feature Reweighting for EEG-based Motor Imagery Classification
Taveena Lotey, Prateek Keserwani, Debi Prosad Dogra +1
Classification of motor imagery (MI) using non-invasive electroencephalographic (EEG) signals is a critical objective as it is used to predict the intention of limb movements of a…
Separate Scene Text Detector for Unseen Scripts is Not All You Need
Prateek Keserwani, Taveena Lotey, Rohit Keshari +1
Text detection in the wild is a well-known problem that becomes more challenging while handling multiple scripts. In the last decade, some scripts have gained the attention of the…