29 citations · 91 across the 15 of their papers we have counts for
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cs.CV2026
Natural Image Autoencoder-Based fMRI Representations for Trait and State Prediction
Juhyeon Park, Yeonwoo Kim, Peter Yongho Kim +5
Foundation models pre-trained on large-scale fMRI datasets have shown strong downstream performance, but at substantial data and computation cost. To investigate how much fMRI-spec…
cs.CV2020★ 19 cited
Modeling Lost Information in Lossy Image Compression
Yaolong Wang, Mingqing Xiao, Chang Liu +2
Lossy image compression is one of the most commonly used operators for digital images. Most recently proposed deep-learning-based image compression methods leverage the auto-encode…