1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CV2024
Disentanglement and Compositionality of Letter Identity and Letter Position in Variational Auto-Encoder Vision Models
Bruno Bianchi, Aakash Agrawal, Stanislas Dehaene +2
Human readers can accurately count how many letters are in a word (e.g., 7 in ``buffalo''), remove a letter from a given position (e.g., ``bufflo'') or add a new one. The human bra…
cs.CV2024★ 1 cited
Cracking the neural code for word recognition in convolutional neural networks
Aakash Agrawal, Stanislas Dehaene
Learning to read places a strong challenge on the visual system. Years of expertise lead to a remarkable capacity to separate highly similar letters and encode their relative posit…