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Found 7 papers, 4 papers with code
MASA-TCN: Multi-anchor Space-aware Temporal Convolutional Neural Networks for Continuous and Discrete EEG Emotion Recognition
A natural method is to learn the temporal dynamic patterns.
Revisiting Graph based Social Recommendation: A Distillation Enhanced Social Graph Network
We train a model that integrates information from the user-item interaction graph and the user-user social graph and train two auxiliary models that only use one of the above graphs respectively.
Continuous Emotion Recognition using Visual-audio-linguistic information: A Technical Report for ABAW3
The visual encoding from the visual block is concatenated with the attention feature to emphasize the visual information.
Continuous Emotion Recognition with Audio-visual Leader-follower Attentive Fusion
We propose an audio-visual spatial-temporal deep neural network with: (1) a visual block containing a pretrained 2D-CNN followed by a temporal convolutional network (TCN); (2) an aural block containing several parallel TCNs; and (3) a leader-follower attentive fusion block combining the audio-visual information.
TSception: Capturing Temporal Dynamics and Spatial Asymmetry from EEG for Emotion Recognition
TSception consists of dynamic temporal, asymmetric spatial, and high-level fusion layers, which learn discriminative representations in the time and channel dimensions simultaneously.
Assessing Fashion Recommendations: A Multifaceted Offline Evaluation Approach
Critical to addressing these issues in fashion recommendation is an evaluation strategy that: 1) includes multiple metrics that are relevant to fashion, and 2) is performed within segments of users with different interaction histories.
Point Set Registration With Global-Local Correspondence and Transformation Estimation
We present a new point set registration method with global-local correspondence and transformation estimation (GL-CATE).
