Search Results for author:
Found 10 papers, 4 papers with code
Source-Free Adaptive Gaze Estimation by Uncertainty Reduction
In light of this, we present an unsupervised source-free domain adaptation approach for gaze estimation, which adapts a source-trained gaze estimator to unlabeled target domains without source data.
MAFW: A Large-scale, Multi-modal, Compound Affective Database for Dynamic Facial Expression Recognition in the Wild
To the best of our knowledge, MAFW is the first in-the-wild multi-modal database annotated with compound emotion annotations and emotion-related captions.
Ranked #13 on
Dynamic Facial Expression Recognition
on MAFW
Dynamic Facial Expression Recognition
Facial Expression Recognition
+1
Gaze Estimation with an Ensemble of Four Architectures
This paper presents a method for gaze estimation according to face images.
Cross-Encoder for Unsupervised Gaze Representation Learning
To address the issue that the feature of gaze is always intertwined with the appearance of the eye, Cross-Encoder disentangles the features using a latent-code-swapping mechanism on eye-consistent image pairs and gaze-similar ones.
Emotion Recognition for In-the-wild Videos
This paper is a brief introduction to our submission to the seven basic expression classification track of Affective Behavior Analysis in-the-wild Competition held in conjunction with the IEEE International Conference on Automatic Face and Gesture Recognition (FG) 2020.
$M^3$T: Multi-Modal Continuous Valence-Arousal Estimation in the Wild
This report describes a multi-modal multi-task ($M^3$T) approach underlying our submission to the valence-arousal estimation track of the Affective Behavior Analysis in-the-wild (ABAW) Challenge, held in conjunction with the IEEE International Conference on Automatic Face and Gesture Recognition (FG) 2020.
Pose-adaptive Hierarchical Attention Network for Facial Expression Recognition
Multi-view facial expression recognition (FER) is a challenging task because the appearance of an expression varies in poses.
Facial Expression Recognition
Facial Expression Recognition (FER)
Facial Expression Recognition with Inconsistently Annotated Datasets
To address the inconsistency, we propose an Inconsistent Pseudo Annotations to Latent Truth(IPA2LT) framework to train a FER model from multiple inconsistently labeled datasets and large scale unlabeled data.
Facial Expression Recognition
Facial Expression Recognition (FER)
Unsupervised Synchrony Discovery in Human Interaction
We evaluate the effectiveness of our approach in multiple databases, including human actions using the CMU Mocap dataset, spontaneous facial behaviors using group-formation task dataset and parent-infant interaction dataset.
Confidence Preserving Machine for Facial Action Unit Detection
Varied sources of error contribute to the challenge of facial action unit detection.
