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Found 7 papers, 1 papers with code
eMotion-GAN: A Motion-based GAN for Photorealistic and Facial Expression Preserving Frontal View Synthesis
Considering the motion induced by head variation as noise and the motion induced by facial expression as the relevant information, our model is trained to filter out the noisy motion in order to retain only the motion related to facial expression.
Facial Expression Recognition
Facial Expression Recognition (FER)
Windowed-FourierMixer: Enhancing Clutter-Free Room Modeling with Fourier Transform
In this context, inpainting indoor environments from a single image plays a crucial role in modeling the internal structure of interior spaces as it enables the creation of textured and clutter-free reconstructions.
Spiking-Fer: Spiking Neural Network for Facial Expression Recognition With Event Cameras
Facial Expression Recognition (FER) is an active research domain that has shown great progress recently, notably thanks to the use of large deep learning models.
Dynamic Facial Expression Recognition under Partial Occlusion with Optical Flow Reconstruction
To handle occlusions, solutions based on the reconstruction of the occluded part of the face have been proposed.
Dynamic Facial Expression Recognition
Facial Expression Recognition
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Impact of facial landmark localization on facial expression recognition
Although facial landmark localization (FLL) approaches are becoming increasingly accurate for characterizing facial regions, one question remains unanswered: what is the impact of these approaches on subsequent related tasks?
Facial Expressions Analysis Under Occlusions Based on Specificities of Facial Motion Propagation
The main innovation brought by this contribution consists in exploiting the specificities of facial movement propagation for recognizing expressions in presence of important occlusions.
Optical Flow Techniques for Facial Expression Analysis -- a Practical Evaluation Study
Optical flow techniques are becoming increasingly performant and robust when estimating motion in a scene, but their performance has yet to be proven in the area of facial expression recognition.
