3 papers
cs.SD2025
A Penny for Your Thoughts: Decoding Speech from Inexpensive Brain Signals
Quentin Auster, Kateryna Shapovalenko, Chuang Ma +1
We explore whether neural networks can decode brain activity into speech by mapping EEG recordings to audio representations. Using EEG data recorded as subjects listened to natural…
cs.CV2025
MMME: A Spontaneous Multi-Modal Micro-Expression Dataset Enabling Visual-Physiological Fusion
Chuang Ma, Yu Pei, Jianhang Zhang +5
Micro-expressions (MEs) are subtle, fleeting nonverbal cues that reveal an individual's genuine emotional state. Their analysis has attracted considerable interest due to its promi…
cs.CV2025
MPFNet: A Multi-Prior Fusion Network with a Progressive Training Strategy for Micro-Expression Recognition
Chuang Ma, Shaokai Zhao, Dongdong Zhou +5
Micro-expression recognition (MER), a critical subfield of affective computing, presents greater challenges than macro-expression recognition due to its brief duration and low inte…