A small parallel Croatian-English corpus was analyzed in order to study the role of implicit prosody in silent reading. Croatian and English are well suited for this purpose with English having a stress-timed prosody and Croatian being more of a syllable-...

This paper aims to advance the fields of unsupervised data labeling and incremental cross-domain training techniques. We apply these innovative methods to develop a model tailored for the Augmentative and Alternative Communication (AAC) application ...

Appearance-based gaze tracking algorithms, which compute gaze direction from user face images, are an attractive alternative to infrared-based external devices. Their accuracy has greatly benefited by using powerful machine-learning techniques. The ...

When presented with the same question about an image, human annotators often give valid but disagreeing answers indicating that their reasoning was different. Such differences are lost in a single ground truth label used to train and evaluate visual ...

Preserving cultural heritage is paramount for societal and historical identity. Paintings, spanning ancient to modern eras, are pivotal subjects under constant scrutiny. As art reflects human creativity, studying human visual behavior toward paintings ...

We introduce the Webcam Eye Dataset (WEyeDS) 1, a dataset of images collected from desktops and laptops. WEyeDS will be openly available with the goal of providing researchers a dataset for training gaze estimation models. Our preliminary dataset was ...

In eye tracking, pupil detection is a crucial step for gaze estimation. While there are a plethora of datasets with accurate annotations, new devices, such as differently placed cameras, usually require more data to be annotated since the new ...

Eyelid detection is an important feature for fatigue estimation in autonomous driving, for example. It allows for the estimation of driver readiness if a takeover event occurs, and is therefore crucial for the safety of car passengers and traffic ...

The advancement of image restoration, especially in reconstructing missing or damaged image areas, has benefited significantly from self-supervised learning techniques, notably through the recent Masked Auto Encoder (MAE) strategy. In this project, we ...

Eye tracking is a promising technique to measure gaze direction on food while eating that can be used as a tool to asses eating habits and disorders. However, the studies done as yet use high-quality (infrared) eye trackers under controlled lab ...

Eye-tracking applications that utilize the human gaze in video understanding tasks have become increasingly important. To effectively automate the process of video analysis based on eye-tracking data, it is important to accurately replicate human gaze ...

This paper presents a novel Contrastive Self-Attention Convolutional Neural Network (CSA-CNN) model with enhanced Difficulty Aware (DA) loss function to improve the segmentation of pupils in eye images. The incorporation of transformer-style self-...

Calibrating gaze estimation models is crucial to maximize the effectiveness of these systems, although its implementation also poses challenges related to usability. Therefore, the simplification of this process is key. In this work, we dissect the ...

This study investigated saccadic behaviour during the fusional vergence test as a function of disparity vergence demand. Participants’ divergence and convergence fusional vergence ranges were measured in an haploscopic setup. Disparity of a column of ...

Humans utilize their gaze to concentrate on essential information while perceiving and interpreting intentions in videos. Incorporating human gaze into computational algorithms can significantly enhance model performance in video understanding tasks. In ...

Neurological degenerative conditions can affect motor functions, making mobility daunting. Recent configurations of mobility devices that leverage artificial intelligence (AI) show its ability to handle complex information like user input. We create a ...

Designing realistic eye movements for animated avatars poses a challenge, as gaze behavior is predominantly unconscious. Accurately modulating those movements is crucial to avoid the Uncanny Valley. The human gaze exhibits different characteristics in ...