6 papers
Facial-Expression-Aware Prompting for Empathetic LLM Tutoring
Shuangquan Feng, Laura Fleig, Ruisen Tu +6
Large language models (LLMs) enable increasingly capable tutoring-style conversational agents, yet effective tutoring requires sensitivity to learners' affective and cognitive stat…
EEG Blink Artifacts Can Identify Read Music in Listening and Imagery
Abhinav Uppal, Dillan Cellier, Min Suk Lee +5
Eye-movement related artifacts including blinks and saccades are significantly larger in amplitude than cortical activity as recorded by scalp electroencephalography (EEG), but are…
One-Frame Calibration with Siamese Network in Facial Action Unit Recognition
Shuangquan Feng, Virginia R. de Sa
Automatic facial action unit (AU) recognition is used widely in facial expression analysis. Most existing AU recognition systems aim for cross-participant non-calibrated generaliza…
Perceptogram: Reconstructing Visual Percepts and Presumptive Electrode Preference from EEG
Teng Fei, Srinivas Ravishankar, Zhining Chen +3
Visual neural decoding from EEG has improved significantly due to diffusion models that can reconstruct high-quality images from decoded latents. While recent works have focused on…
FERGI: Automatic Scoring of User Preferences for Text-to-Image Generation from Spontaneous Facial Expression Reaction
Shuangquan Feng, Junhua Ma, Virginia R. de Sa
Researchers have proposed to use data of human preference feedback to fine-tune text-to-image generative models. However, the scalability of human feedback collection has been limi…
Adaptive recurrent vision performs zero-shot computation scaling to unseen difficulty levels
Vijay Veerabadran, Srinivas Ravishankar, Yuan Tang +2
Humans solving algorithmic (or) reasoning problems typically exhibit solution times that grow as a function of problem difficulty. Adaptive recurrent neural networks have been show…