Appearance-based gaze estimation with deep learning: A review and benchmark
Human gaze provides valuable information on human focus and intentions, making it a
crucial area of research. Recently, deep learning has revolutionized appearance-based …
crucial area of research. Recently, deep learning has revolutionized appearance-based …
In the eye of the beholder: A survey of gaze tracking techniques
J Liu, J Chi, H Yang, X Yin - Pattern Recognition, 2022 - Elsevier
Gaze tracking estimates and tracks the user's gaze by analyzing facial or eye features, it is
an important way to realize automated vision-based interaction. This paper introduces the …
an important way to realize automated vision-based interaction. This paper introduces the …
Hyperreenact: one-shot reenactment via jointly learning to refine and retarget faces
In this paper, we present our method for neural face reenactment, called HyperReenact, that
aims to generate realistic talking head images of a source identity, driven by a target facial …
aims to generate realistic talking head images of a source identity, driven by a target facial …
Contrastive regression for domain adaptation on gaze estimation
Abstract Appearance-based Gaze Estimation leverages deep neural networks to regress the
gaze direction from monocular images and achieve impressive performance. However, its …
gaze direction from monocular images and achieve impressive performance. However, its …
Dvgaze: Dual-view gaze estimation
Gaze estimation methods estimate gaze from facial appearance with a single camera.
However, due to the limited view of a single camera, the captured facial appearance cannot …
However, due to the limited view of a single camera, the captured facial appearance cannot …
L2cs-net: Fine-grained gaze estimation in unconstrained environments
Human gaze is a crucial cue used in various applications such as human-robot interaction
and virtual reality. Recently, convolution neural network (CNN) approaches have made …
and virtual reality. Recently, convolution neural network (CNN) approaches have made …
Eye gaze estimation: A survey on deep learning-based approaches
Human gaze estimation plays a major role in many applications in human–computer
interaction and computer vision by identifying the users' point-of-interest. Revolutionary …
interaction and computer vision by identifying the users' point-of-interest. Revolutionary …
Stylegan-xl: Scaling stylegan to large diverse datasets
Computer graphics has experienced a recent surge of data-centric approaches for
photorealistic and controllable content creation. StyleGAN in particular sets new standards …
photorealistic and controllable content creation. StyleGAN in particular sets new standards …
Gaze estimation using transformer
Recent work has proven the effectiveness of transformers in many computer vision tasks.
However, the performance of transformers in gaze estimation is still unexplored. In this …
However, the performance of transformers in gaze estimation is still unexplored. In this …
Ev-eye: Rethinking high-frequency eye tracking through the lenses of event cameras
G Zhao, Y Yang, J Liu, N Chen… - Advances in Neural …, 2024 - proceedings.neurips.cc
In this paper, we present EV-Eye, a first-of-its-kind large scale multimodal eye tracking
dataset aimed at inspiring research on high-frequency eye/gaze tracking. EV-Eye utilizes an …
dataset aimed at inspiring research on high-frequency eye/gaze tracking. EV-Eye utilizes an …