10 citations · 10 across the 7 of their papers we have counts for
7 papers
ReMiX-MAE: Learning Missing-Channel Cross-Modal Representations from RGB-Only Clinical Facial Videos for Sympathetic-Mediated Pain Assessment
Nan Bi, Taoyue Wang, Lijun Yin +1
Automated pain assessment in real clinics is limited by scarce clinically grounded facial video data with weak labels (often sequence-level self-report) and by the fact that pain c…
Toward High-Fidelity 3D Point-Cloud Learning for Brain Folding Morphology Prediction Using Trans-Unet
Geran Zhao, Xiaotian Li, Poorya Chavoshnejad +4
Learning high-fidelity point-cloud features in the 3D space poses significant challenges, including permutation invariance, lack of local context, difficulty in fine-grained surfac…
MindAU: EEG-Conditioned Facial Action Unit Editing via Dual-Stream Manifold Alignment
Zhenhang Li, Xin Zhou, Hao Deng +1
Recent brain decoding studies have made substantial progress in reconstructing externally perceived visual content from neural signals. However, using electroencephalography (EEG)…
PRISM: Prioritized Channel Importance with Semi-supervised Domain Adaptation for Cross-Subject EEG Emotion Recognition
Xin Zhou, Xiang Zhang, Hao Deng +1
Electroencephalogram (EEG) captures endogenous brain activity with high temporal fidelity and holds substantial promise for precise emotion decoding. However, channel redundancy an…
Inter-Stance: A Dyadic Multimodal Corpus for Conversational Stance Analysis
Xiang Zhang, Xiaotian Li, Taoyue Wang +9
Social interactions dominate our perceptions of the world and shape our daily behavior by attaching social meaning to acts as simple and spontaneous as gestures, facial expressions…
miMamba: EEG-based Emotion Recognition with Multi-scale Inverted Mamba Models
Xin Zhou, Dawei Huang, Xiaojing Peng +1
EEG-based emotion recognition holds significant potential in the field of brain-computer interfaces. A key challenge lies in extracting discriminative spatiotemporal features from…
A Transformer-based Deep Learning Algorithm to Auto-record Undocumented Clinical One-Lung Ventilation Events
Zhihua Li, Alexander Nagrebetsky, Sylvia Ranjeva +6
As a team studying the predictors of complications after lung surgery, we have encountered high missingness of data on one-lung ventilation (OLV) start and end times due to high cl…