6 DAILY WACV Saturday Poster Presentation In recent years, significant progress has been made in generative networks, particularly in synthesizing images using text prompts. The exploration of this concept has led to groundbreaking research in the field of brain electroencephalography (EEG) signals to visualize the images generated by the human mind. The journey to reconstruct images from EEG data began in 2017, with pioneers like Spampinato and Palazzo laying the foundations for this work when they published their Brain2image approach. Their datasets have been a crucial resource for Prajwal, who is looking to advance their progress. When humans view images, their brains produce chemical responses and electrical impulses between neurons, which an EEG cap can Learning Robust Deep Visual Representations from EEG Brain Recordings Prajwal Singh is a third-year Computer Science PhD student at IIT Gandhinagar, India, advised by Shanmuganathan Raman. His paper attempts to answer a big question: How can computers reconstruct human thoughts? He speaks to us ahead of his virtual poster session today.
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