Actions in the eye: Dynamic gaze datasets and learnt saliency models for visual recognition
S Mathe, C Sminchisescu - IEEE transactions on pattern …, 2014 - ieeexplore.ieee.org
Systems based on bag-of-words models from image features collected at maxima of sparse
interest point operators have been used successfully for both computer visual object and …
interest point operators have been used successfully for both computer visual object and …
Dynamic eye movement datasets and learnt saliency models for visual action recognition
S Mathe, C Sminchisescu - Computer Vision–ECCV 2012: 12th European …, 2012 - Springer
Abstract Systems based on bag-of-words models operating on image features collected at
maxima of sparse interest point operators have been extremely successful for both computer …
maxima of sparse interest point operators have been extremely successful for both computer …
360-degree video gaze behaviour: A ground-truth data set and a classification algorithm for eye movements
Eye tracking and the analysis of gaze behaviour are established tools to produce insights
into how humans observe their surroundings and consume visual multimedia content. For …
into how humans observe their surroundings and consume visual multimedia content. For …
OpenNEEDS: A dataset of gaze, head, hand, and scene signals during exploration in open-ended VR environments
We present OpenNEEDS, the first large-scale, high frame rate, comprehensive, and open-
source dataset of Non-Eye (head, hand, and scene) and Eye (3D gaze vectors) data …
source dataset of Non-Eye (head, hand, and scene) and Eye (3D gaze vectors) data …
Invisibleeye: Mobile eye tracking using multiple low-resolution cameras and learning-based gaze estimation
Analysis of everyday human gaze behaviour has significant potential for ubiquitous
computing, as evidenced by a large body of work in gaze-based human-computer …
computing, as evidenced by a large body of work in gaze-based human-computer …
Towards end-to-end video-based eye-tracking
Estimating eye-gaze from images alone is a challenging task, in large parts due to un-
observable person-specific factors. Achieving high accuracy typically requires labeled data …
observable person-specific factors. Achieving high accuracy typically requires labeled data …
What/where to look next? Modeling top-down visual attention in complex interactive environments
Several visual attention models have been proposed for describing eye movements over
simple stimuli and tasks such as free viewing or visual search. Yet, to date, there exists no …
simple stimuli and tasks such as free viewing or visual search. Yet, to date, there exists no …
Deep-SAGA: a deep-learning-based system for automatic gaze annotation from eye-tracking data
With continued advancements in portable eye-tracker technology liberating experimenters
from the restraints of artificial laboratory designs, research can now collect gaze data from …
from the restraints of artificial laboratory designs, research can now collect gaze data from …
Learning to predict sequences of human visual fixations
Most state-of-the-art visual attention models estimate the probability distribution of fixating
the eyes in a location of the image, the so-called saliency maps. Yet, these models do not …
the eyes in a location of the image, the so-called saliency maps. Yet, these models do not …
Gaze-in-wild: A dataset for studying eye and head coordination in everyday activities
The study of gaze behavior has primarily been constrained to controlled environments in
which the head is fixed. Consequently, little effort has been invested in the development of …
which the head is fixed. Consequently, little effort has been invested in the development of …