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Found 8 papers, 0 papers with code
Multi-Task Transformer with uncertainty modelling for Face Based Affective Computing
From a learning point of view we use an uncertainty weighted loss for modelling the difference of stochasticity between the three tasks annotations.
Privileged Attribution Constrained Deep Networks for Facial Expression Recognition
Facial Expression Recognition (FER) is crucial in many research domains because it enables machines to better understand human behaviours.
Facial Expression Recognition
Facial Expression Recognition (FER)
DeeSCo: Deep heterogeneous ensemble with Stochastic Combinatory loss for gaze estimation
In this paper, we introduce a deep, end-to-end trainable ensemble of heatmap-based weak predictors for 2D/3D gaze estimation.
Deep Entwined Learning Head Pose and Face Alignment Inside an Attentional Cascade with Doubly-Conditional fusion
Head pose estimation and face alignment constitute a backbone preprocessing for many applications relying on face analysis.
DeCaFA: Deep Convolutional Cascade for Face Alignment In The Wild
Face Alignment is an active computer vision domain, that consists in localizing a number of facial landmarks that vary across datasets.
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Face Alignment
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Face Alignment with Cascaded Semi-Parametric Deep Greedy Neural Forests
GNF appears as an ideal regressor for face alignment, as it combines differentiability, high expressivity and fast evaluation runtime.
Confidence-Weighted Local Expression Predictions for Occlusion Handling in Expression Recognition and Action Unit detection
Furthermore, labelling expressions is a time-consuming process that is prone to subjectivity, thus the variability may not be fully covered by the training data.
Dynamic Pose-Robust Facial Expression Recognition by Multi-View Pairwise Conditional Random Forests
As such, our approach appears as a natural extension of Random Forests for learning spatio-temporal patterns, potentially from multiple viewpoints.
Facial Expression Recognition
Facial Expression Recognition (FER)
+1
