Gaze Interaction Bibliography,
2001.
WWW Link.
Survey, Gaze Tracking. A listing of gaze based interaction papers. Much of it is for interactions
by disabled.
Friedman, M.B.[Mark B.],
Kiliany, G.J.[Gary J.],
Dzmura, M.R.[Mark R.],
Eye-tracker communication system,
US_Patent4,648,052, Mar 3, 1987
WWW Link.
BibRef
8703
Frey, L.A.,
White, Jr., K.P., and
Hutchinson, T.E.,
Eye-Gaze Word Processing,
SMC(20), No. 4, 1990, pp. 944-950.
WWW Link.
BibRef
9000
Hutchinson, T.E.,
White, Jr., K.P.,
Martin, W.N.,
Reichert, K.C., and
Frey, L.A.,
Human-computer interaction using eye-gaze input,
SMC(19), No. 6, 1989, pp. 1527-1534.
WWW Link.
BibRef
8900
Hutchinson, T.E.[Thomas E.],
Spetz, K.S.[Kevin S.],
Desai, N.R.[Nirav R.],
Eye movement and pupil diameter apparatus and method,
US_Patent5,204,703, Apr 20, 1993
WWW Link.
BibRef
9304
Myers, G.A.[Glenn A.],
Sherman, K.R.[Keith R.],
Stark, L.[Lawrence],
Eye Monitor: Microcomputer-Based Instrument Uses an Internal
Model to Track the Eye,
Computer(24), No. 3, March 1991, pp. 14-21.
For detailed study of the eye. Basic image analysis applied to a
real task.
BibRef
9103
Jacob, R.J.K.,
The use of eye movements in human-computer interaction techniques:
What you look at is what you get,
TIS(9), No. 3, 1991, pp. 152-169.
WWW Link.
BibRef
9100
Jacob, R.J.K.,
Eye-gaze computer interfaces: What you look at is what you get,
Computer(26), No. 7, July 1993, pp. 65-67.
WWW Link.
BibRef
9307
Yee, K.[Kingman],
Munnerlyn, C.R.[Charles R.],
Two camera off-axis eye tracker for laser eye surgery,
US_Patent6,322,216, Nov 27, 2001
WWW Link.
BibRef
0111
Colombo, C.[Carlo],
del Bimbo, A.[Alberto],
Real-time head tracking from the deformation of eye contours using a
piecewise affine camera,
PRL(20), No. 7, July 1999, pp. 721-730.
BibRef
9907
Colombo, C.[Carlo],
del Bimbo, A.[Alberto],
de Magistris, S.[Silvio],
Combining head tracking and pupil monitoring in vision-based
human-computer interaction,
CAIP95(717-722).
Springer DOI
9509
BibRef
And:
Human-Computer Interaction Based on Eye Movement Tracking,
CAMP95(xx).
BibRef
Talmi, K.[Kay],
Liu, J.[Jin],
Eye and gaze tracking for visually controlled interactive stereoscopic
displays,
SP:IC(14), No. 10, August 1999, pp. 799-810.
Elsevier DOI
BibRef
9908
Amir, A.[Arnon],
Flickner, M.D.[Myron Dale],
Ihde, S.C.[Steven Carlyle],
Zhai, S.M.[Shu-Min],
Integrated gaze/manual cursor positioning system,
US_Patent6,204,828, Mar 20, 2001
WWW Link.
BibRef
0103
Flickner, M.D.[Myron Dale],
Koons, D.B.[David Bruce],
Lu, Q.[Qi],
Maglio, P.P.[Paul Philip],
Morimoto, C.H.[Carlos Hitoshi],
Selker, E.J.[Edwin Joseph],
Method and system for relevance feedback through gaze tracking
and ticker interfaces,
US_Patent6,577,329, Jun 10, 2003
WWW Link.
BibRef
0306
Morimoto, C.H.,
Amir, A.,
Flickner, M.D.,
Detecting eye position and gaze from a single camera and 2
light-sources,
ICPR02(IV: 314-317).
IEEE DOI
0211
BibRef
Zhu, Z.W.[Zhi-Wei],
Ji, Q.A.[Qi-Ang],
Eye and gaze tracking for interactive graphic display,
MVA(15), No. 3, July 2004, pp. 139-148.
Springer DOI
0407
BibRef
Zhu, Z.W.[Zhi-Wei],
Ji, Q.A.[Qi-Ang],
Fujimura, K.,
Combining kalman filtering and mean shift for real time eye tracking
under active IR illumination,
ICPR02(IV: 318-321).
IEEE DOI
0211
BibRef
Zhu, Z.W.[Zhi-Wei],
Ji, Q.A.[Qi-Ang],
Robust real-time eye detection and tracking under variable lighting
conditions and various face orientations,
CVIU(98), No. 1, April 2005, pp. 124-154.
Elsevier DOI
0412
BibRef
And:
Eye Gaze Tracking under Natural Head Movements,
CVPR05(I: 918-923).
IEEE DOI
0507
BibRef
Morimoto, C.H.[Carlos H.],
Mimica, M.R.M.[Marcio R.M.],
Eye gaze tracking techniques for interactive applications,
CVIU(98), No. 1, April 2005, pp. 4-24.
Elsevier DOI
0412
Survey, Gaze Tracking. Review and evaluation of some techniques.
BibRef
DeLuca, M.J.[Michael Joseph],
Vision pointer method and apparatus,
US_Patent6,215,471, Apr 10, 2001
WWW Link.
BibRef
0104
Gulliver, S.R.,
Ghinea, G.,
Stars in Their Eyes:
What Eye-Tracking Reveals About Multimedia Perceptual Quality,
SMC-A(34), No. 4, July 2004, pp. 472-482.
IEEE Abstract.
0407
BibRef
Kawato, S.J.[Shin-Jiro],
Tetsutani, N.[Nobuji],
Detection and Tracking of Eyes for Gaze-camera Control,
IVC(22), No. 12, 1 October 2004, pp. 1031-1038.
Elsevier DOI
0409
BibRef
Earlier:
VI02(348).
PDF File.
0208
See also Scale-Adaptive Face Detection and Tracking in Real Time with SSR Filters and Support Vector Machine.
BibRef
Noureddin, B.,
Lawrence, P.D.,
Man, C.F.,
A non-contact device for tracking gaze in a human computer interface,
CVIU(98), No. 1, April 2005, pp. 52-82.
Elsevier DOI
0412
BibRef
Abe, K.,
Owada, K.,
Ohi, S.,
Ohyama, M.,
A Web Browsing System by Eye-Gaze Input,
EIS(127), Part 7, 2007, pp. 1036-1042.
PDF File.
BibRef
0700
Sawahata, Y.[Yasuhito],
Khosla, R.[Rajiv],
Komine, K.[Kazuteru],
Hiruma, N.[Nobuyuki],
Itou, T.[Takayuki],
Watanabe, S.[Seiji],
Suzuki, Y.J.[Yu-Ji],
Hara, Y.[Yumiko],
Issiki, N.[Nobuo],
Determining comprehension and quality of TV programs using eye-gaze
tracking,
PR(41), No. 5, May 2008, pp. 1627-1643.
Elsevier DOI
0711
Eye-gaze direction; Entropy; TV contents evaluation;
TV program comprehension; Gaussian mixture models;
Performance optimization framework
BibRef
Ba, S.O.[Sileye O.],
Odobez, J.M.[Jean-Marc],
Recognizing Visual Focus of Attention From Head Pose in Natural
Meetings,
SMC-B(39), No. 1, February 2009, pp. 16-33.
IEEE DOI
0902
BibRef
Ba, S.O.[Sileye O.],
Odobez, J.M.[Jean-Marc],
Multiperson Visual Focus of Attention from Head Pose and Meeting
Contextual Cues,
PAMI(33), No. 1, January 2011, pp. 101-116.
IEEE DOI
1011
In meetings from Audio-Visual cues. Jointly recognize focus for all for
context-dependent models and group dynamics.
BibRef
Magee, J.J.[John J.],
Betke, M.[Margrit],
Gips, J.,
Scott, M.R.[Matthew R.],
Waber, B.N.[Benjamin N.],
A Human-Computer Interface Using Symmetry Between Eyes to Detect Gaze
Direction,
SMC-A(38), No. 6, November 2008, pp. 1248-1261.
IEEE DOI
0811
BibRef
Earlier: A1, A4, A5, A2, Only:
EyeKeys: A Real-Time Vision Interface Based on Gaze Detection from a
Low-Grade Video Camera,
RealTimeHCI04(159).
IEEE DOI
0502
BibRef
Grauman, K.,
Betke, M.,
Gips, J.,
Bradski, G.R.,
Communication via Eye Blinks:
Detection and Duration Analysis in Real Time,
CVPR01(I:1010-1017).
IEEE DOI
0110
BibRef
Betke, M.,
Kawai, J.,
Gaze Detection Via Self-Organizing Gray-Scale Units,
RATFG99(xx-yy).
BibRef
9900
Ou, J.[Jiazhi],
Oh, L.M.[Lui Min],
Fussell, S.R.,
Blum, T.,
Yang, J.[Jie],
Predicting Visual Focus of Attention From Intention in Remote
Collaborative Tasks,
MultMed(10), No. 6, October 2008, pp. 1034-1045.
IEEE DOI
0905
BibRef
Vural, U.[Ulas],
Akgul, Y.S.[Yusuf Sinan],
Eye-gaze based real-time surveillance video synopsis,
PRL(30), No. 12, 1 September 2009, pp. 1151-1159.
Elsevier DOI
0909
Video abstraction; Surveillance; Eye-gaze; Human
computer interaction
BibRef
Vural, U.[Ulas],
Akgul, Y.S.[Yusuf Sinan],
Operator attention based video surveillance,
VS11(1955-1962).
IEEE DOI
1201
BibRef
Ohtera, R.[Ryo],
Horiuchi, T.[Takahiko],
Kotera, H.[Hiroaki],
Eyegaze Detection from Monocular Camera Image for Eyegaze Communication
System,
IEICE(E93-D), No. 1, January 2010, pp. 134-143.
WWW Link.
1001
BibRef
Ohtera, R.[Ryo],
Horiuchi, T.[Takahiko],
Tominaga, S.[Shoji],
Eye-Gaze Detection from Monocular Camera Image Using Parametric
Template Matching,
ACCV07(I: 708-717).
Springer DOI
0711
BibRef
Lv, Z.[Zhao],
Wu, X.P.[Xiao-Pei],
Li, M.[Mi],
Zhang, D.X.[De-Xiang],
A novel eye movement detection algorithm for EOG driven human computer
interface,
PRL(31), No. 9, 1 July 2010, pp. 1041-1047.
Elsevier DOI
1004
Electrooculogram (EOG); Endpoint detecting; Spectral entropy; Linear
predictive coding (LPC); Dynamic time warping (DTW)
BibRef
Du, S.[Shan],
Ward, R.K.[Rabab K.],
Adaptive Region-Based Image Enhancement Method for Robust Face
Recognition Under Variable Illumination Conditions,
CirSysVideo(20), No. 9, September 2010, pp. 1165-1175.
IEEE DOI
1003
BibRef
Earlier:
A Robust Approach for Eye Localization Under Variable Illuminations,
ICIP07(I: 377-380).
IEEE DOI
0709
BibRef
Earlier:
Wavelet-Based Illumination Normalization for Face Recognition,
ICIP05(II: 954-957).
IEEE DOI
0512
BibRef
Goth, G.[Gregory],
The Eyes Have It,
CACM(53), No. 12, December 2010, pp. 13-15.
DOI Link
1101
Eye-tracking control for mobile phones might lead to a new era of
context-aware user interfaces.
BibRef
Hadizadeh, H.,
Enriquez, M.J.,
Bajic, I.V.,
Eye-Tracking Database for a Set of Standard Video Sequences,
IP(21), No. 2, February 2012, pp. 898-903.
IEEE DOI
1201
Dataset, Eye Tracking.
BibRef
Tuch, A.N.,
Kreibig, S.D.,
Roth, S.P.,
Bargas-Avila, J.A.,
Opwis, K.,
Wilhelm, F.H.,
The Role of Visual Complexity in Affective Reactions to Webpages:
Subjective, Eye Movement, and Cardiovascular Responses,
AffCom(2), No. 4, 2011, pp. 230-236.
IEEE DOI
1202
BibRef
Hajimirza, S.N.,
Proulx, M.J.,
Izquierdo, E.,
Reading Users' Minds From Their Eyes: A Method for Implicit Image
Annotation,
MultMed(14), No. 3, 2012, pp. 805-815.
IEEE DOI
1202
BibRef
Langereis, G.[Geert], and
Christiaans, H.[Hugo],
Restoring the perception of eye contact in the visually impaired,
SPIE(Newsroom), December 3, 2012
DOI Link
1301
For some, the essence of sight is not in the beauty
of images but in social inclusion.
BibRef
Lee, H.[Heekyung],
Lim, S.Y.[Seong Yong],
Lee, I.[Injae],
Cha, J.[Jihun],
Cho, D.C.[Dong-Chan],
Cho, S.[Sunyoung],
Multi-modal user interaction method based on gaze tracking and gesture
recognition,
SP:IC(28), No. 2, February 2013, pp. 114-126.
Elsevier DOI
1302
Gaze tracking; Gesture recognition; User interface; MPEG-U; MPEG-V
BibRef
Malleson, C.[Charles],
Collomosse, J.P.[John P.],
Virtual Volumetric Graphics on Commodity Displays Using 3D Viewer
Tracking,
IJCV(101), No. 3, February 2013, pp. 519-532.
WWW Link.
1303
BibRef
Earlier:
Volumetric 3D graphics on commodity displays using active gaze tracking,
HCI11(399-405).
IEEE DOI
1201
BibRef
Ren, P.[Peng],
Barreto, A.[Armando],
Gao, Y.[Ying],
Adjouadi, M.[Malek],
Affective Assessment by Digital Processing of the Pupil Diameter,
AffCom(4), No. 1, January 2013, pp. 2-14.
IEEE DOI
1304
BibRef
Nakano, Y.I.[Yukiko I.],
Conati, C.[Cristina],
Bader, T.[Thomas], (Eds.)
Eye Gaze in Intelligent User Interfaces:
Gaze-based Analyses, Models and Applications,
Springer2013.
ISBN 978-1-4471-4783-1
Kunze, K.,
Iwamura, M.,
Kise, K.,
Uchida, S.,
Omachi, S.,
Activity Recognition for the Mind: Toward a Cognitive 'Quantified Self',
Computer(46), No. 10, 2013, pp. 105-108.
IEEE DOI
1312
cognition. Eye tracking monitoring.
BibRef
Boccignone, G.,
Ferraro, M.,
Gaze shift behavior on video as composite information foraging,
SP:IC(28), No. 8, 2013, pp. 949-966.
Elsevier DOI
1309
BibRef
Earlier:
Modelling eye-movement control via a constrained search approach,
EUVIP11(235-240).
IEEE DOI
1110
BibRef
Earlier:
Gaze shifts as dynamical random sampling,
EUVIP10(29-34).
IEEE DOI
1110
Visual attention
BibRef
Feng, Y.L.[Yun-Long],
Cheung, G.,
Tan, W.T.[Wai-Tian],
Le Callet, P.,
Ji, Y.S.[Yu-Sheng],
Low-Cost Eye Gaze Prediction System for Interactive Networked Video
Streaming,
MultMed(15), No. 8, December 2013, pp. 1865-1879.
IEEE DOI
1402
Kalman filters
BibRef
Topal, C.,
Gunal, S.,
Kocdeviren, O.,
Dogan, A.,
Gerek, O.N.,
A Low-Computational Approach on Gaze Estimation With Eye Touch System,
Cyber(44), No. 2, February 2014, pp. 228-239.
IEEE DOI
1403
gaze tracking
BibRef
Zaraki, A.,
Mazzei, D.,
Giuliani, M.,
de Rossi, D.,
Designing and Evaluating a Social Gaze-Control System for a Humanoid
Robot,
HMS(44), No. 2, April 2014, pp. 157-168.
IEEE DOI
1404
face recognition
BibRef
Zhang, L.[Luming],
Gao, Y.[Yue],
Ji, R.R.[Rong-Rong],
Xia, Y.J.[Ying-Jie],
Dai, Q.H.[Qiong-Hai],
Li, X.L.[Xue-Long],
Actively Learning Human Gaze Shifting Paths for Semantics-Aware Photo
Cropping,
IP(23), No. 5, May 2014, pp. 2235-2245.
IEEE DOI
1405
cinematography
BibRef
Courgeon, M.,
Rautureau, G.,
Martin, J.C.,
Grynszpan, O.,
Joint Attention Simulation Using Eye-Tracking and Virtual Humans,
AffCom(5), No. 3, July 2014, pp. 238-250.
IEEE DOI
1412
avatars
BibRef
Mathe, S.[Stefan],
Sminchisescu, C.[Cristian],
Actions in the Eye: Dynamic Gaze Datasets and Learnt Saliency Models
for Visual Recognition,
PAMI(37), No. 7, July 2015, pp. 1408-1424.
IEEE DOI
1506
BibRef
Earlier:
Dynamic Eye Movement Datasets and Learnt Saliency Models for Visual
Action Recognition,
ECCV12(II: 842-856).
Springer DOI
1210
BibRef
Cheung, Y.,
Peng, Q.,
Eye Gaze Tracking With a Web Camera in a Desktop Environment,
HMS(45), No. 4, August 2015, pp. 419-430.
IEEE DOI
1506
Estimation
BibRef
Cristina, S.[Stefania],
Camilleri, K.P.[Kenneth P.],
Model-based head pose-free gaze estimation for assistive
communication,
CVIU(149), No. 1, 2016, pp. 157-170.
Elsevier DOI
1606
BibRef
Cristina, S.[Stefania],
Camilleri, K.P.[Kenneth P.],
Model-free non-rigid head pose tracking by joint shape and pose
estimation,
MVA(27), No. 8, November 2016, pp. 1229-1242.
Springer DOI
1612
BibRef
Earlier:
Model-Free Head Pose Estimation Based on Shape Factorisation and
Particle Filtering,
CAIP15(II:628-639).
Springer DOI
1511
Eye-gaze tracking
BibRef
Cristina, S.[Stefania],
Camilleri, K.P.[Kenneth P.],
Sequential Non-Rigid Factorisation for Head Pose Estimation,
ICPR21(4528-4535)
IEEE DOI
2105
Deformable models, Shape, Tracking, Face recognition,
Pose estimation, Training data, Data models
BibRef
Wang, S.[Shuang],
Chen, Y.[Yufen],
Yuan, Y.C.[Ye-Cheng],
Ye, H.Y.[Hai-Yun],
Zheng, S.L.[Shu-Lei],
Visualizing the Intellectual Structure of Eye Movement Research in
Cartography,
IJGI(5), No. 10, 2016, pp. 168.
DOI Link
1610
BibRef
Saeed, U.[Usman],
Eye movements during scene understanding for biometric identification,
PRL(82, Part 2), No. 1, 2016, pp. 190-195.
Elsevier DOI
1609
Biometric identification
BibRef
Cazzato, D.[Dario],
Evangelista, A.[Andrea],
Leo, M.[Marco],
Carcagně, P.[Pierluigi],
Distante, C.[Cosimo],
A low-cost and calibration-free gaze estimator for soft biometrics:
An explorative study,
PRL(82, Part 2), No. 1, 2016, pp. 196-206.
Elsevier DOI
1609
Free gaze estimation
BibRef
George, A.[Anjith],
Routray, A.[Aurobinda],
A score level fusion method for eye movement biometrics,
PRL(82, Part 2), No. 1, 2016, pp. 207-215.
Elsevier DOI
1609
Eye tracking Biometrics
BibRef
Galdi, C.[Chiara],
Wechsler, H.[Harry],
Cantoni, V.[Virginio],
Porta, M.[Marco],
Nappi, M.[Michele],
Towards demographic categorization using gaze analysis,
PRL(82, Part 2), No. 1, 2016, pp. 226-231.
Elsevier DOI
1609
GANT
BibRef
Kumar, C.,
Menges, R.,
Staab, S.,
Eye-Controlled Interfaces for Multimedia Interaction,
MultMedMag(23), No. 4, October 2016, pp. 6-13.
IEEE DOI
1612
user interfaces
BibRef
Kumano, S.[Shiro],
Otsuka, K.[Kazuhiro],
Ishii, R.,
Yamato, J.J.[Jun-Ji],
Collective First-Person Vision for Automatic Gaze Analysis in
Multiparty Conversations,
MultMed(19), No. 1, January 2017, pp. 107-122.
IEEE DOI
1612
Calibration
BibRef
Kumano, S.[Shiro],
Otsuka, K.[Kazuhiro],
Mikami, D.[Dan],
Yamato, J.J.[Jun-Ji],
Analyzing empathetic interactions based on the probabilistic modeling
of the co-occurrence patterns of facial expressions in group meetings,
FG11(43-50).
IEEE DOI
1103
BibRef
Rigas, I.[Ioannis],
Komogortsev, O.V.[Oleg V.],
Current research in eye movement biometrics:
An analysis based on BioEye 2015 competition,
IVC(58), No. 1, 2017, pp. 129-141.
Elsevier DOI
1703
Eye movement biometrics
BibRef
Walsh, E.,
Daems, W.,
Steckel, J.,
Assistive Pointing Device Based on a Head-Mounted Camera,
HMS(47), No. 4, August 2017, pp. 590-597.
IEEE DOI
1708
Cameras, Gaze tracking, Optical switches, Performance evaluation,
Position control, Target tracking, Assistive technology, camera,
head-pose tracking, optical sensor, pointing, device
BibRef
Huang, Q.[Qiong],
Veeraraghavan, A.[Ashok],
Sabharwal, A.[Ashutosh],
TabletGaze: dataset and analysis for unconstrained appearance-based
gaze estimation in mobile tablets,
MVA(28), No. 5-6, August 2017, pp. 445-461.
WWW Link.
1708
BibRef
Li, S.,
Zhang, X.,
Implicit Intention Communication in Human-Robot Interaction Through
Visual Behavior Studies,
HMS(47), No. 4, August 2017, pp. 437-448.
IEEE DOI
1708
Assistive technology, Feature extraction, Mobile robots,
Senior citizens, Support vector machines, Visualization,
Assisted activities of daily living, gaze-based communication,
human-robot interaction (HRI), implicit, intention, inference
BibRef
Zhang, C.,
He, Q.,
Liu, J.,
Wang, Z.,
Exploring Viewer Gazing Patterns for Touch-Based Mobile Gamecasting,
MultMed(19), No. 10, October 2017, pp. 2333-2344.
IEEE DOI
1709
Games, Land mobile radio, Optimization, Smart phones, YouTube,
Gazing pattern prediction, mobile gamecasting, touch, interaction
BibRef
Liu, B.[Bing],
Dong, W.H.[Wei-Hua],
Meng, L.Q.[Li-Qiu],
Using Eye Tracking to Explore the Guidance and Constancy of Visual
Variables in 3D Visualization,
IJGI(6), No. 9, 2017, pp. xx-yy.
DOI Link
1710
BibRef
Moacdieh, N.M.,
Sarter, N.,
The Effects of Data Density, Display Organization, and Stress on
Search Performance: An Eye Tracking Study of Clutter,
HMS(47), No. 6, December 2017, pp. 886-895.
IEEE DOI
1712
Clutter, Gaze tracking, Tracking, Visualization, Display clutter,
eye movement, visual search/scanning
BibRef
Moacdieh, N.M.,
Sarter, N.,
Using Eye Tracking to Detect the Effects of Clutter on Visual Search
in Real Time,
HMS(47), No. 6, December 2017, pp. 896-902.
IEEE DOI
1712
Clutter, Gaze tracking, Measurement, Real-time systems, Tracking,
Visualization, Display clutter, eye movement, visual search/scanning
BibRef
Currie, J.,
Bond, R.R.,
McCullagh, P.,
Black, P.,
Finlay, D.D.,
Peace, A.,
Eye Tracking the Visual Attention of Nurses Interpreting Simulated
Vital Signs Scenarios: Mining Metrics to Discriminate Between
Performance Level,
HMS(48), No. 2, April 2018, pp. 113-124.
IEEE DOI
1804
Biomedical monitoring, Medical services, Monitoring, Training,
Visualization, Eye tracking, patient monitoring,
visual attention
BibRef
Nishiyama, M.[Masashi],
Matsumoto, R.[Riku],
Yoshimura, H.[Hiroki],
Iwai, Y.[Yoshio],
Extracting discriminative features using task-oriented gaze maps
measured from observers for personal attribute classification,
PRL(112), 2018, pp. 241-248.
Elsevier DOI
1809
Gaze map, Feature extraction, Personal attributes
BibRef
Dong, W.H.[Wei-Hua],
Zheng, L.Y.[Liang-Yu],
Liu, B.[Bing],
Meng, L.Q.[Li-Qiu],
Using Eye Tracking to Explore Differences in Map-Based Spatial
Ability between Geographers and Non-Geographers,
IJGI(7), No. 9, 2018, pp. xx-yy.
DOI Link
1810
BibRef
Cantoni, V.[Virginio],
Musci, M.[Mirto],
Nugrahaningsih, N.[Nahumi],
Porta, M.[Marco],
Gaze-based biometrics: An introduction to forensic applications,
PRL(113), 2018, pp. 54-57.
Elsevier DOI
1810
Eye tracking, Biometrics, Forensics
BibRef
Fernández, A.[Alba],
Ortega, M.[Marcos],
de Moura, J.[Joaquim],
Novo, J.[Jorge],
Penedo, M.G.[Manuel G.],
Detection of reactions to sound via gaze and global eye motion analysis
using camera streaming,
MVA(29), No. 7, October 2018, pp. 1069-1082.
Springer DOI
1810
BibRef
Zhu, Y.C.[Yu-Cheng],
Zhai, G.T.[Guang-Tao],
Min, X.K.[Xiong-Kuo],
The prediction of head and eye movement for 360 degree images,
SP:IC(69), 2018, pp. 15-25.
Elsevier DOI
1811
VR, Omnidirectional, 360 degree, Panoramic, Saliency detection,
Head motion, Head-eye motion, Scanpath
BibRef
Lathuiličre, S.[Stéphane],
Massé, B.[Benoit],
Mesejo, P.[Pablo],
Horaud, R.[Radu],
Neural network based reinforcement learning for audio-visual gaze
control in human-robot interaction,
PRL(118), 2019, pp. 61-71.
Elsevier DOI
1902
Reinforcement learning, Human-robot interaction,
Robot gaze control, Neural networks, Transfer learning, Multimodal data fusion
BibRef
Sun, X.[Xiao],
Zhang, L.M.[Lu-Ming],
Wang, Z.P.[Ze-Peng],
Chang, J.[Jie],
Yao, Y.Y.[Yi-Yang],
Li, P.[Ping],
Zimmermann, R.[Roger],
Scene Categorization Using Deeply Learned Gaze Shifting Kernel,
Cyber(49), No. 6, June 2019, pp. 2156-2167.
IEEE DOI
1904
Each scene type into different perceptual space.
Semantics, Kernel, Feature extraction, Image color analysis,
Sparse matrices, Image segmentation, Visualization, Gaze shifting,
scene categorization
BibRef
Sun, M.J.[Mei-Jun],
Zhou, Z.Q.[Zi-Qi],
Hu, Q.H.[Qing-Hua],
Wang, Z.[Zheng],
Jiang, J.M.[Jian-Min],
SG-FCN: A Motion and Memory-Based Deep Learning Model for Video
Saliency Detection,
Cyber(49), No. 8, August 2019, pp. 2900-2911.
IEEE DOI
1905
Computational modeling, Saliency detection, Predictive models,
Feature extraction, Video sequences, Visualization, Training,
video saliency
BibRef
Ma, Z.,
Wu, J.,
Zhong, S.,
Jiang, J.,
Heinen, S.J.,
Human Eye Movements Reveal Video Frame Importance,
Computer(52), No. 5, May 2019, pp. 48-57.
IEEE DOI
1906
Visualization, Observers, Computational modeling,
Cognitive systems, Data models, YouTube
BibRef
Wang, Y.[Yan],
Huang, R.[Rui],
Guo, L.[Lei],
Eye gaze pattern analysis for fatigue detection based on GP-BCNN with
ESM,
PRL(123), 2019, pp. 61-74.
Elsevier DOI
1906
Fatigue detection, Eye gaze pattern,
Convolutional neural network, Information interaction, Artificial modulation
BibRef
Liu, Y.[Yi],
Lee, B.S.[Bu-Sung],
Rajan, D.[Deepu],
Sluzek, A.[Andrzej],
McKeown, M.J.[Martin J.],
CamType: assistive text entry using gaze with an off-the-shelf webcam,
MVA(30), No. 3, April 2019, pp. 407-421.
Springer DOI
1906
BibRef
Murata, A.,
Karwowski, W.,
Automatic Lock of Cursor Movement: Implications for an Efficient
Eye-Gaze Input Method for Drag and Menu Selection,
HMS(49), No. 3, June 2019, pp. 259-267.
IEEE DOI
1906
Task analysis, Mice, Human computer interaction, Pressing, Presses,
Visualization, Atmospheric measurements,
prediction accuracy
BibRef
Zhan, Y.W.[Yin-Wei],
Li, Y.D.[Yao-Dong],
Yang, Z.[Zhuo],
Zhao, Y.[Yao],
Wu, H.Y.[Huai-Yu],
Saccade Information Based Directional Heat Map Generation for Gaze Data
Visualization,
IEICE(E102-D), No. 8, August 2019, pp. 1602-1605.
WWW Link.
1908
BibRef
Popelka, S.[Stanislav],
Vondrakova, A.[Alena],
Hujnakova, P.[Petra],
Eye-tracking Evaluation of Weather Web Maps,
IJGI(8), No. 6, 2019, pp. xx-yy.
DOI Link
1908
BibRef
Zhao, T.T.[Tong-Tong],
Yan, Y.X.[Yu-Xiao],
Peng, J.J.[Jin-Jia],
Mi, Z.T.[Ze-Tian],
Fu, X.P.[Xian-Ping],
Guiding intelligent surveillance system by learning-by-synthesis gaze
estimation,
PRL(125), 2019, pp. 556-562.
Elsevier DOI
1909
BibRef
Lévęque, L.[Lucie],
Berg, B.V.[Baptiste Vande],
Bosmans, H.[Hilde],
Cockmartin, L.[Lesley],
Keupers, M.[Machteld],
van Ongeval, C.[Chantal],
Liu, H.T.[Han-Tao],
A statistical evaluation of eye-tracking data of screening
mammography: Effects of expertise and experience on image reading,
SP:IC(78), 2019, pp. 86-93.
Elsevier DOI
1909
Screening mammography, Visual attention, Eye-tracking, Saliency
BibRef
Göbel, F.[Fabian],
Kiefer, P.[Peter],
Raubal, M.[Martin],
FeaturEyeTrack: automatic matching of eye tracking data with map
features on interactive maps,
GeoInfo(23), No. 4, October 2019, pp. 663-687.
WWW Link.
1911
BibRef
Keskin, M.[Merve],
Ooms, K.[Kristien],
Dogru, A.O.[Ahmet Ozgur],
de Maeyer, P.[Philippe],
EEG & Eye Tracking User Experiments for Spatial Memory Task on
Maps,
IJGI(8), No. 12, 2019, pp. xx-yy.
DOI Link
1912
BibRef
Liu, B.[Bing],
Dong, W.H.[Wei-Hua],
Zhan, Z.C.[Zhi-Cheng],
Wang, S.K.[Sheng-Kai],
Meng, L.Q.[Li-Qiu],
Differences in the Gaze Behaviours of Pedestrians Navigating between
Regular and Irregular Road Patterns,
IJGI(9), No. 1, 2020, pp. xx-yy.
DOI Link
2001
BibRef
Che, Z.,
Borji, A.,
Zhai, G.,
Min, X.,
Guo, G.,
Le Callet, P.,
How is Gaze Influenced by Image Transformations? Dataset and Model,
IP(29), 2020, pp. 2287-2300.
IEEE DOI
2001
Data models, Observers, Image resolution, Visualization,
Mathematical model, Semantics, Robustness, Human gaze,
model robustness
BibRef
Roy, A.K.,
Akhtar, M.N.,
Mahadevappa, M.,
Guha, R.,
Mukherjee, J.,
A Novel Technique to Develop Cognitive Models for Ambiguous Image
Identification Using Eye Tracker,
AffCom(11), No. 1, January 2020, pp. 63-77.
IEEE DOI
2003
Feature extraction, Gaze tracking, Computational modeling,
Data models, Cognition, Object recognition, recall
BibRef
Wang, C.S.[Cheng-Shun],
Chen, Y.F.[Yu-Fen],
Zheng, S.L.[Shu-Lei],
Yuan, Y.C.[Ye-Cheng],
Wang, S.[Shuang],
Research on Generating an Indoor Landmark Salience Model for
Self-Location and Spatial Orientation from Eye-Tracking Data,
IJGI(9), No. 2, 2020, pp. xx-yy.
DOI Link
2003
BibRef
Fu, K.[Kui],
Li, J.[Jia],
Zhang, Y.[Yu],
Shen, H.Z.[Hong-Ze],
Tian, Y.H.[Yong-Hong],
Model-Guided Multi-Path Knowledge Aggregation for Aerial Saliency
Prediction,
IP(29), 2020, pp. 7117-7127.
IEEE DOI
2007
Predictive models, Visualization, Computational modeling, Drones,
Solid modeling, Prediction algorithms, Adaptation models,
eye-tracking
BibRef
Brennan, C.,
McCullagh, P.,
Lightbody, G.,
Galway, L.,
McClean, S.,
Stawicki, P.,
Gembler, F.,
Volosyak, I.,
Armstrong, E.,
Thompson, E.,
Performance of a Steady-State Visual Evoked Potential and Eye Gaze
Hybrid Brain-Computer Interface on Participants With and Without a
Brain Injury,
HMS(50), No. 4, August 2020, pp. 277-286.
IEEE DOI
2007
Electroencephalography, Visualization, Navigation, Brain injuries,
Electrodes, Assistive technology, Collaboration,
virtual environment
See also Brain-Computer Interface, Brain-Machine Interface, Biomimetic.
BibRef
Keskin, M.[Merve],
Ooms, K.[Kristien],
Dogru, A.O.[Ahmet Ozgur],
de Maeyer, P.[Philippe],
Exploring the Cognitive Load of Expert and Novice Map Users Using EEG
and Eye Tracking,
IJGI(9), No. 7, 2020, pp. xx-yy.
DOI Link
2007
BibRef
Zhu, Y.,
Zhai, G.,
Min, X.,
Zhou, J.,
The Prediction of Saliency Map for Head and Eye Movements in 360
Degree Images,
MultMed(22), No. 9, September 2020, pp. 2331-2344.
IEEE DOI
2008
Head, Visualization, Feature extraction, Predictive models,
Magnetic heads, Frequency-domain analysis, Uncertainty, VR,
center and peripheral vision
BibRef
Li, G.Y.[Gong-Yang],
Liu, Z.[Zhi],
Shi, R.[Ran],
Hu, Z.[Zheng],
Wei, W.J.[Wei-Jie],
Wu, Y.[Yong],
Huang, M.K.[Meng-Ke],
Ling, H.B.[Hai-Bin],
Personal Fixations-Based Object Segmentation With Object Localization
and Boundary Preservation,
IP(30), 2021, pp. 1461-1475.
IEEE DOI
2101
Image segmentation, Object segmentation, Task analysis,
Visualization, Visual systems, Measurement, Image edge detection,
boundary preservation
BibRef
Mesfin, G.,
Saleme, E.B.,
Ademoye, O.A.,
Kani-Zabihi, E.,
Santos, C.A.S.,
Ghinea, G.,
Less is (Just as Good as) More: An Investigation of Odor Intensity
and Hedonic Valence in Mulsemedia QoE using Heart Rate and Eye
Tracking,
MultMed(23), 2021, pp. 1095-1105.
IEEE DOI
2103
Quality of experience, Olfactory, Heart rate, Media, Monitoring,
Biomedical monitoring, Electroencephalography, QoE, olfaction,
heart rate
BibRef
Mao, R.,
Li, G.,
Hildre, H.P.,
Zhang, H.,
A Survey of Eye Tracking in Automobile and Aviation Studies:
Implications for Eye-Tracking Studies in Marine Operations,
HMS(51), No. 2, April 2021, pp. 87-98.
IEEE DOI
2103
Survey, Eye Tracking. Visualization, Gaze tracking, Automobiles, Vehicle dynamics,
Vehicles, Terminology, Manuals,
marine operation
BibRef
Cybulski, P.[Pawel],
Effectiveness of Memorizing an Animated Route: Comparing Satellite
and Road Map Differences in the Eye-Tracking Study,
IJGI(10), No. 3, 2021, pp. xx-yy.
DOI Link
2104
BibRef
Yang, B.C.[Bin-Cheng],
Li, H.W.[Hong-Wei],
A Visual Attention Model Based on Eye Tracking in 3D Scene Maps,
IJGI(10), No. 10, 2021, pp. xx-yy.
DOI Link
2110
BibRef
Liang, S.[Song],
Liu, R.H.[Rui-Hang],
Qian, J.S.[Jian-Sheng],
Fixation prediction for advertising images: Dataset and benchmark,
JVCIR(81), 2021, pp. 103356.
Elsevier DOI
2112
Saliency prediction, Advertising, OCR, Lightweight architecture
BibRef
Li, Y.J.[Yu-Jie],
Tan, B.[Benying],
Akaho, S.[Shotaro],
Asoh, H.[Hideki],
Ding, S.[Shuxue],
Gaze prediction for first-person videos based on inverse non-negative
sparse coding with determinant sparse measure,
JVCIR(81), 2021, pp. 103367.
Elsevier DOI
2112
Gaze prediction, First-person video, Sparse coding,
Determinant measure, Inverse
BibRef
Guo, Y.[Yao],
Freer, D.[Daniel],
Deligianni, F.[Fani],
Yang, G.Z.[Guang-Zhong],
Eye-Tracking for Performance Evaluation and Workload Estimation in
Space Telerobotic Training,
HMS(52), No. 1, February 2022, pp. 1-11.
IEEE DOI
2201
Task analysis, Training, Cameras, Surgery, Robots, Estimation,
Performance evaluation, Confounding factors, eye-tracking,
teleoperation performance
BibRef
Porta, M.[Marco],
Dondi, P.[Piercarlo],
Pianetta, A.[Alice],
Cantoni, V.[Virginio],
SPEye: A Calibration-Free Gaze-Driven Text Entry Technique Based on
Smooth Pursuit,
HMS(52), No. 2, April 2022, pp. 312-323.
IEEE DOI
2203
Calibration, Writing, Keyboards, Visualization, Standards, Psychology,
Man-machine systems, Accessibility, eye tracking, gaze writing,
user study
BibRef
Li, J.[Jing],
Chen, Z.[Zejin],
Zhong, Y.H.[Yi-Hao],
Lam, H.K.[Hak-Keung],
Han, J.X.[Jun-Xia],
Ouyang, G.X.[Gao-Xiang],
Li, X.L.[Xiao-Li],
Liu, H.H.[Hong-Hai],
Appearance-Based Gaze Estimation for ASD Diagnosis,
Cyber(52), No. 7, July 2022, pp. 6504-6517.
IEEE DOI
2207
Estimation, Magnetic resonance imaging, Head,
Electroencephalography, Visualization, Pediatrics, Deep learning,
gaze estimation
BibRef
Wang, S.[Sheng],
Ouyang, X.[Xi],
Liu, T.M.[Tian-Ming],
Wang, Q.[Qian],
Shen, D.G.[Ding-Gang],
Follow My Eye: Using Gaze to Supervise Computer-Aided Diagnosis,
MedImg(41), No. 7, July 2022, pp. 1688-1698.
IEEE DOI
2207
Visualization, Biomedical imaging, X-ray imaging, Solid modeling,
Deep learning, Annotations, Medical diagnostic imaging,
computer-aided diagnosis
BibRef
Gupta, A.[Anshul],
Tafasca, S.[Samy],
Odobez, J.M.[Jean-Marc],
A Modular Multimodal Architecture for Gaze Target Prediction:
Application to Privacy-Sensitive Settings,
Gaze22(5037-5046)
IEEE DOI
2210
Fuses, Surveillance, Computer architecture, Predictive models,
Skeleton
BibRef
Chen, S.[Shi],
Jiang, M.[Ming],
Yang, J.H.[Jin-Hui],
Zhao, Q.[Qi],
Attention in Reasoning: Dataset, Analysis, and Modeling,
PAMI(44), No. 11, November 2022, pp. 7310-7326.
IEEE DOI
2210
Cognition, Visualization, Task analysis, Computational modeling,
Analytical models, Atmospheric modeling, Atomic measurements,
eye-tracking dataset
BibRef
Choi, Y.[Youjin],
Kim, J.[JooYeong],
Hong, J.H.[Jin-Hyuk],
Immersion Measurement in Watching Videos Using Eye-tracking Data,
AffCom(13), No. 4, October 2022, pp. 1759-1770.
IEEE DOI
2212
Videos, Task analysis, Games, Visualization, Pupils, User experience,
Machine learning, Immersion, video
BibRef
Hu, Z.X.[Zheng-Xi],
Zhao, K.[Kunxu],
Zhou, B.[Bohan],
Guo, H.[Hang],
Wu, S.C.[Shi-Chao],
Yang, Y.[Yuxue],
Liu, J.T.[Jing-Tai],
Gaze Target Estimation Inspired by Interactive Attention,
CirSysVideo(32), No. 12, December 2022, pp. 8524-8536.
IEEE DOI
2212
Spatial temporal resolution, Visualization, Feature extraction,
Transformers, Encoding, Task analysis, Heating systems, gaze-following
BibRef
Plopski, A.[Alexander],
Hirzle, T.[Teresa],
Norouzi, N.[Nahal],
Qian, L.[Long],
Bruder, G.[Gerd],
Langlotz, T.[Tobias],
The Eye in Extended Reality: A Survey on Gaze Interaction and Eye
Tracking in Head-Worn Extended Reality,
Surveys(55), No. 3, March 2023, pp. xx-yy.
DOI Link
2212
Survey, Gaze. head-worn, collaboration, interaction, gaze, selection,
literature review, virtual reality, head-mounted, Eye tracking,
augmented reality
BibRef
Meena, Y.K.[Yogesh Kumar],
Cecotti, H.[Hubert],
Bhushan, B.[Braj],
Dutta, A.[Ashish],
Prasad, G.[Girijesh],
Detection of Dyslexic Children Using Machine Learning and Multimodal
Hindi Language Eye-Gaze-Assisted Learning System,
HMS(53), No. 1, February 2023, pp. 122-131.
IEEE DOI
2301
Education, Task analysis, Visualization, Graphical user interfaces,
Machine learning, Writing, Soft switching, Dyslexia,
virtual keyboard (VK)
BibRef
Ge, X.L.[Xian-Liang],
Pan, Y.X.[Yun-Xian],
Wang, S.[Sujie],
Qian, L.[Linze],
Yuan, J.J.[Jing-Jia],
Xu, J.[Jie],
Thakor, N.[Nitish],
Sun, Y.[Yu],
Improving Intention Detection in Single-Trial Classification Through
Fusion of EEG and Eye-Tracker Data,
HMS(53), No. 1, February 2023, pp. 132-141.
IEEE DOI
2301
Electroencephalography, Task analysis, Feature extraction,
Covariance matrices, Biomedical engineering, Bayes methods,
single-trial classification
BibRef
Gunawardena, N.[Nishan],
Ginige, J.A.[Jeewani Anupama],
Javadi, B.[Bahman],
Eye-Tracking Technologies in Mobile Devices Using Edge Computing:
A Systematic Review,
Surveys(55), No. 8, December 2022, pp. xx-yy.
DOI Link
2301
mobile devices, Eye-tracking, systematic review, edge computing,
mobile human computer interaction
BibRef
Wang, L.[Le],
Li, S.G.[Shi-Gang],
Wheelchair-Centered Omnidirectional Gaze-Point Estimation in the Wild,
HMS(53), No. 3, June 2023, pp. 466-478.
IEEE DOI
2306
Cameras, Faces, Wheelchairs, Estimation, Robots, Mobile robots,
Robot kinematics, Gaze point estimation, spherical image,
wheelchair robot
BibRef
Blundell, J.[James],
Collins, C.[Charlotte],
Sears, R.[Rod],
Plioutsias, T.[Tassos],
Huddlestone, J.[John],
Harris, D.[Don],
Harrison, J.[James],
Kershaw, A.[Anthony],
Harrison, P.[Paul],
Lamb, P.[Phil],
Multivariate Analysis of Gaze Behavior and Task Performance Within
Interface Design Evaluation,
HMS(53), No. 5, October 2023, pp. 875-884.
IEEE DOI
2310
BibRef
Ma, C.[Chong],
Zhao, L.[Lin],
Chen, Y.Z.[Yu-Zhong],
Wang, S.[Sheng],
Guo, L.[Lei],
Zhang, T.[Tuo],
Shen, D.G.[Ding-Gang],
Jiang, X.[Xi],
Liu, T.M.[Tian-Ming],
Eye-Gaze-Guided Vision Transformer for Rectifying Shortcut Learning,
MedImg(42), No. 11, November 2023, pp. 3384-3394.
IEEE DOI
2311
BibRef
Zhao, Y.[Yiyue],
Lei, C.[Cailin],
Shen, Y.[Yu],
Du, Y.C.[Yu-Chuan],
Chen, Q.J.[Qi-Jun],
Improving Autonomous Vehicle Visual Perception by Fusing Human Gaze
and Machine Vision,
ITS(24), No. 11, November 2023, pp. 12716-12725.
IEEE DOI
2311
BibRef
Zhang, C.B.[Chang-Bo],
Liao, H.[Hua],
Huang, Y.[Yongbo],
Dong, W.H.[Wei-Hua],
Evaluating the Usability of a Gaze-Adaptive Approach for Identifying
and Comparing Raster Values between Multilayers,
IJGI(12), No. 10, 2023, pp. 412.
DOI Link
2311
BibRef
Ling, Y.C.[Yan-Cheng],
Ma, Z.[Zhenliang],
Xie, B.Q.[Bang-Quan],
Zhang, Q.[Qi],
Weng, X.X.[Xiao-Xiong],
SA-BiGCN: Bi-Stream Graph Convolution Networks With Spatial
Attentions for the Eye Contact Detection in the Wild,
ITS(25), No. 2, February 2024, pp. 2089-2100.
IEEE DOI
2402
Joints, Bones, Feature extraction, Task analysis, Data models,
Pedestrians, Data mining, Eye contact detection, skeleton graph,
spatial attention
BibRef
Rymarkiewicz, W.[Wojciech],
Cybulski, P.[Pawel],
Horbinski, T.[Tymoteusz],
Measuring Efficiency and Accuracy in Locating Symbols on Mobile Maps
Using Eye Tracking,
IJGI(13), No. 2, 2024, pp. 42.
DOI Link
2402
BibRef
Bisogni, C.[Carmen],
Nappi, M.[Michele],
Tortora, G.[Genoveffa],
del Bimbo, A.[Alberto],
Gaze analysis: A survey on its applications,
IVC(144), 2024, pp. 104961.
Elsevier DOI
2404
Survey, Gaze. Gaze analysis gaze, Applications, Human gaze, Biometrics, HCI, VR,
AR, Healthcare
BibRef
Zheng, Y.[Yang],
Yu, Z.Y.[Zhi-Yong],
Fu, H.[Hong],
Guo, K.[Kaitai],
Liang, J.[Jimin],
Characterising Eye Movement Events With Multi-Scale Spatio-Temporal
Awareness,
SPLetters(31), 2024, pp. 2090-2094.
IEEE DOI
2408
Convolution, Feature extraction, Logic gates, Event detection,
Training, Task analysis, Decoding,
multi-scale convolution
BibRef
Murnani, S.[Suatmi],
Setiawan, N.A.[Noor Akhmad],
Wibirama, S.[Sunu],
Robust Object Selection in Spontaneous Gaze-Controlled Application
Using Exponential Moving Average and Hidden Markov Model,
HMS(54), No. 5, October 2024, pp. 485-498.
IEEE DOI
2410
Accuracy, Trajectory, Calibration, Correlation, Recording, Noise,
Hidden Markov models, Eye tracking, gaze gesture, spontaneous interaction
BibRef
Chakraborty, S.[Suvodip],
Kiefer, P.[Peter],
Raubal, M.[Martin],
Estimating Perceived Mental Workload From Eye-Tracking Data Based on
Benign Anisocoria,
HMS(54), No. 5, October 2024, pp. 499-507.
IEEE DOI
2410
Cognitive load, Measurement, Task analysis, Pupils, Gaze tracking, Accuracy,
Entropy, Benign anisocoria (BA), cognitive load, pupillary response
BibRef
Zhu, J.[Jiahe],
Zheng, J.[Jinji],
Xia, X.[Xinyi],
Li, Y.F.[Yi-Fan],
Li, Z.[Zhiru],
Li, X.[Xicai],
IGM-MELv2: Infrared Guiding Modal Multiuser Eye Localization System
on ARM CPU for Autostereoscopic Displays,
CirSysVideo(34), No. 9, September 2024, pp. 8135-8147.
IEEE DOI
2410
Location awareness, Faces, Face detection, Real-time systems,
Detectors, Convolution, Central Processing Unit, network scaling
BibRef
Deng, B.[Bowen],
Song, S.Y.[Si-Yang],
French, A.P.[Andrew P.],
Schluppeck, D.[Denis],
Pound, M.P.[Michael P.],
Advancing Saliency Ranking with Human Fixations:
Dataset, Models and Benchmarks,
CVPR24(28348-28357)
IEEE DOI Code:
WWW Link.
2410
Visualization, Detectors, Gaze tracking, Computer architecture,
Transformers, Feature extraction, saliency, saliency detection,
Graph Neural Networks
BibRef
Tonini, F.[Francesco],
Dall'Asen, N.[Nicola],
Beyan, C.[Cigdem],
Ricci, E.[Elisa],
Object-aware Gaze Target Detection,
ICCV23(21803-21812)
IEEE DOI
2401
BibRef
Qammaz, A.[Ammar],
Argyros, A.A.[Antonis A.],
A Unified Approach for Occlusion Tolerant 3D Facial Pose Capture and
Gaze Estimation using MocapNETs,
AMFG23(3170-3180)
IEEE DOI
2401
BibRef
Toaiari, A.[Andrea],
Cunico, F.[Federico],
Taioli, F.[Francesco],
Caputo, A.[Ariel],
Menegaz, G.[Gloria],
Giachetti, A.[Andrea],
Farinella, G.M.[Giovanni Maria],
Cristani, M.[Marco],
Scene-pathy: Capturing the Visual Selective Attention of People Towards
Scene Elements,
CIAP23(I:352-363).
Springer DOI
2312
BibRef
Sood, E.[Ekta],
Kögel, F.[Fabian],
Müller, P.[Philipp],
Thomas, D.[Dominike],
Bâce, M.[Mihai],
Bulling, A.[Andreas],
Multimodal Integration of Human-Like Attention in Visual Question
Answering,
Gaze23(2648-2658)
IEEE DOI
2309
BibRef
Zheng, Y.[Yang],
Yang, Y.C.[Yan-Chao],
Mo, K.C.[Kai-Chun],
Li, J.[Jiaman],
Yu, T.[Tao],
Liu, Y.B.[Ye-Bin],
Liu, C.K.[C. Karen],
Guibas, L.J.[Leonidas J.],
GIMO: Gaze-Informed Human Motion Prediction in Context,
ECCV22(XIII:676-694).
Springer DOI
2211
BibRef
Ghosh, S.[Shreya],
Dhall, A.[Abhinav],
Hayat, M.[Munawar],
Knibbe, J.[Jarrod],
AV-GAZE: A Study on the Effectiveness of Audio Guided Visual
Attention Estimation for Non-profilic Faces,
ICIP22(2921-2925)
IEEE DOI
2211
Training, Visualization, Adaptation models, Estimation,
Benchmark testing, Synchronization, Visual Attention,
Head-pose and Gaze Estimation
BibRef
Li, J.[Jie],
Zhai, G.T.[Guang-Tao],
Zhu, Y.C.[Yu-Cheng],
Zhou, J.[Jun],
Zhang, X.P.[Xiao-Ping],
How Sound Affects Visual Attention in Omnidirectional Videos,
ICIP22(3066-3070)
IEEE DOI
2211
Visualization, Gaze tracking, Videos, Audio-visual saliency, dataset,
eye movement, omnidirectional videos
BibRef
Kasahara, I.[Isaac],
Stent, S.[Simon],
Park, H.S.[Hyun Soo],
Look Both Ways: Self-supervising Driver Gaze Estimation and Road Scene
Saliency,
ECCV22(XIII:126-142).
Springer DOI
2211
BibRef
de Belen, R.A.J.[Ryan Anthony Jalova],
Bednarz, T.[Tomasz],
Sowmya, A.[Arcot],
ScanpathNet:
A Recurrent Mixture Density Network for Scanpath Prediction,
Gaze22(5006-5016)
IEEE DOI
2210
Deep learning, Visualization, Computational modeling, Semantics,
Predictive models, Visual systems
BibRef
Tu, D.Y.[Dan-Yang],
Min, X.K.[Xiong-Kuo],
Duan, H.Y.[Hui-Yu],
Guo, G.D.[Guo-Dong],
Zhai, G.T.[Guang-Tao],
Shen, W.[Wei],
End-to-End Human-Gaze-Target Detection with Transformers,
CVPR22(2192-2200)
IEEE DOI
2210
Head, Pipelines, Object detection, Streaming media, Transformers,
Robustness, Behavior analysis
BibRef
Zhang, M.F.[Ming-Fang],
Liu, Y.F.[Yun-Fei],
LU, F.[Feng],
GazeOnce: Real-Time Multi-Person Gaze Estimation,
CVPR22(4187-4196)
IEEE DOI
2210
Training, Estimation error, Face recognition, Pipelines, Estimation,
Face and gestures
BibRef
Bao, J.[Jun],
Liu, B.[Buyu],
Yu, J.[Jun],
ESCNet: Gaze Target Detection with the Understanding of 3D Scenes,
CVPR22(14106-14115)
IEEE DOI
2210
Geometry, Point cloud compression, Heating systems, Solid modeling,
Visualization, Machine vision, Recognition: detection,
Vision applications and systems
BibRef
Wang, B.[Binglu],
Hu, T.[Tao],
Li, B.S.[Bao-Shan],
Chen, X.J.[Xiao-Juan],
Zhang, Z.J.[Zhi-Jie],
GaTector: A Unified Framework for Gaze Object Prediction,
CVPR22(19566-19575)
IEEE DOI
2210
Heating systems, Head, Estimation, Object detection,
Prediction methods, Logic gates, Feature extraction,
Behavior analysis
BibRef
Jiang, L.[Lai],
Li, Y.F.[Yi-Fei],
Li, S.X.[Sheng-Xi],
Xu, M.[Mai],
Lei, S.[Se],
Guo, Y.C.[Yi-Chen],
Huang, B.[Bo],
Does text attract attention on e-commerce images:
A novel saliency prediction dataset and method,
CVPR22(2078-2087)
IEEE DOI
2210
Training, Head, Data analysis, Correlation, Gaze tracking,
Multitasking, Low-level vision, Vision applications and systems
BibRef
Gutierrez-Maldonado, J.[José],
Clua i Sánchez, M.[Mar],
Porras-Garcia, B.[Bruno],
Ferrer-Garcia, M.[Marta],
Serrano, E.[Eduardo],
Carulla, M.[Marta],
Meschberger-Annweiler, F.[Franck],
Ascione, M.[Mariarca],
Body-Related Attentional Bias in Anorexia Nervosa and Body
Dissatisfaction in Females: An Eye-Tracking and Virtual Reality New
Paradigm,
VAMR22(I:443-454).
Springer DOI
2206
BibRef
Sargsyan, N.[Nikolay],
Seals, C.[Cheryl],
Using AR Headset Camera to Track Museum Visitor Attention:
Initial Development Phase,
VAMR22(II:74-90).
Springer DOI
2206
BibRef
Mazzamuto, M.[Michele],
Ragusa, F.[Francesco],
Furnari, A.[Antonino],
Signorello, G.[Giovanni],
Farinella, G.M.[Giovanni Maria],
Weakly Supervised Attended Object Detection Using Gaze Data as
Annotations,
CIAP22(II:263-274).
Springer DOI
2205
BibRef
Ramaha, N.T.A.,
Karas, I.R.,
Gül, E.,
Bozkurt, M.R.,
Yayvan, R.,
Towards Webcam-based Face Direction Tracking To Detect Learners'
Attention Within Asynchronous E-learning Environment,
SmartCityApp21(445-449).
DOI Link
2201
BibRef
Kerkouri, M.A.[Mohamed A.],
Tliba, M.[Marouane],
Chetouani, A.[Aladine],
Harba, R.[Rachid],
Salypath: A Deep-Based Architecture for Visual Attention Prediction,
ICIP21(1464-1468)
IEEE DOI
2201
Visualization, Image recognition, Image coding,
Image color analysis, Lighting, Visual attention, eye movement,
scanpath prediction
BibRef
Fang, Y.[Yi],
Tang, J.P.[Jia-Peng],
Shen, W.[Wang],
Shen, W.[Wei],
Gu, X.[Xiao],
Song, L.[Li],
Zhai, G.T.[Guang-Tao],
Dual Attention Guided Gaze Target Detection in the Wild,
CVPR21(11385-11394)
IEEE DOI
2111
Head, Dams,
Computational modeling, Estimation, Object detection
BibRef
Lenart, C.[Chris],
Yang, Y.X.[Yu-Xin],
Gu, Z.Q.[Zhi-Qing],
Lu, C.C.[Cheng-Chang],
Kosko, K.[Karl],
Ferdig, R.[Richard],
Guan, Q.[Qiang],
GazeXR: A General Eye-Tracking System Enabling Invariable Gaze Data in
Virtual Environment,
VAMR21(47-58).
Springer DOI
2108
BibRef
Bao, Y.W.[Yi-Wei],
Cheng, Y.H.[Yi-Hua],
Liu, Y.[Yunfei],
Lu, F.[Feng],
Adaptive Feature Fusion Network for Gaze Tracking in Mobile Tablets,
ICPR21(9936-9943)
IEEE DOI
2105
Adaptive systems, Fuses, Navigation, Face recognition, Stacking,
Estimation, Gaze tracking
BibRef
Kasprowski, P.[Pawel],
Harezlak, K.[Katarzyna],
Fudalej, P.[Piotr],
Fudalej, P.[Pawel],
Judging Qualification, Gender, and Age of the Observer Based on Gaze
Patterns When Looking at Faces,
ETTAC20(429-439).
Springer DOI
2103
BibRef
Ricotti, R.[Rosalinda],
Pella, A.[Andrea],
Elisei, G.[Giovanni],
Tagaste, B.[Barbara],
Bello, F.[Federico],
Fontana, G.[Giulia],
Fiore, M.R.[Maria Rosaria],
Ciocca, M.[Mario],
Mastella, E.[Edoardo],
Orlandi, E.[Ester],
Baroni, G.[Guido],
Gaze Stability During Ocular Proton Therapy: Quantitative Evaluation
Based on Eye Surface Surveillance Videos,
ETTAC20(440-452).
Springer DOI
2103
BibRef
Nárai, Á.[Ádám],
Amora, K.K.[Kathleen Kay],
Vidnyánszky, Z.[Zoltán],
Weiss, B.[Béla],
Predicting Reading Speed from Eye-movement Measures,
ETTAC20(453-466).
Springer DOI
2103
BibRef
Szalma, J.[János],
Amora, K.K.[Kathleen Kay],
Vidnyánszky, Z.[Zoltán],
Weiss, B.[Béla],
Investigating the Effect of Inter-letter Spacing Modulation on
Data-driven Detection of Developmental Dyslexia Based on Eye-movement
Correlates of Reading: A Machine Learning Approach,
ETTAC20(467-481).
Springer DOI
2103
BibRef
Govindaswamy, A.G.,
Montague, E.,
Raicu, D.,
Furst, J.,
Predicting physician gaze in clinical settings using optical flow and
positioning,
IVCNZ20(1-6)
IEEE DOI
2012
Image motion analysis, Image recognition, Medical services, Tools,
Encoding, Electronic medical records, Optical flow, physician gaze,
optical flow
BibRef
Silva Junior, L.R.[Laercio R.],
Thomaz, C.E.[Carlos E.],
Visual Perception Ranking of Chess Players,
ICIAR20(I:307-315).
Springer DOI
2007
Eye movements.
BibRef
Nunes, A.[Afonso],
Figueiredo, R.[Rui],
Moreno, P.[Plinio],
Learning to Search for Objects in Images from Human Gaze Sequences,
ICIAR20(I:280-292).
Springer DOI
2007
BibRef
Isikdogan, L.F.,
Gerasimow, T.,
Michael, G.,
Eye Contact Correction using Deep Neural Networks,
WACV20(3307-3315)
IEEE DOI
2006
Cameras, Convolution, Streaming media, Brightness, Face,
Real-time systems, Glass
BibRef
Dias, P.A.,
Malafronte, D.,
Medeiros, H.,
Odone, F.,
Gaze Estimation for Assisted Living Environments,
WACV20(279-288)
IEEE DOI
2006
Estimation, Uncertainty, Assisted living, Predictive models,
Feature extraction, Task analysis, Logic gates
BibRef
Lu, M.,
Liao, D.,
Li, Z.,
Learning Spatiotemporal Attention for Egocentric Action Recognition,
EPIC19(4425-4434)
IEEE DOI
2004
cameras, gaze tracking, image motion analysis, image recognition,
learning (artificial intelligence), spatiotemporal phenomena,
Gaze
BibRef
Chaudhary, A.K.,
Kothari, R.,
Acharya, M.,
Dangi, S.,
Nair, N.,
Bailey, R.,
Kanan, C.,
Diaz, G.,
Pelz, J.B.,
RITnet: Real-time Semantic Segmentation of the Eye for Gaze Tracking,
EyeTrack19(3698-3702)
IEEE DOI
2004
gaze tracking, image segmentation,
learning (artificial intelligence), neural nets,
Real-time systems
BibRef
Griffith, H.,
Katrychuk, D.,
Komogortsev, O.,
Assessment of Shift-Invariant CNN Gaze Mappings for PS-OG Eye
Movement Sensors,
EyeTrack19(3651-3659)
IEEE DOI
2004
convolutional neural nets, gaze tracking,
helmet mounted displays, learning (artificial intelligence),
machine learning
BibRef
Porta, S.,
Bossavit, B.,
Cabeza, R.,
Larumbe-Bergera, A.,
Garde, G.,
Villanueva, A.,
U2Eyes: A Binocular Dataset for Eye Tracking and Gaze Estimation,
EyeTrack19(3660-3664)
IEEE DOI
2004
eye, feature extraction, gaze tracking,
image classification, image segmentation,
annotation
BibRef
He, J.,
Pham, K.,
Valliappan, N.,
Xu, P.,
Roberts, C.,
Lagun, D.,
Navalpakkam, V.,
On-Device Few-Shot Personalization for Real-Time Gaze Estimation,
Gaze19(1149-1158)
IEEE DOI
2004
face recognition, flip-flops, gaze tracking, image sensors,
unsupervised learning, real-time gaze estimation, personalization
BibRef
Guo, T.,
Liu, Y.,
Zhang, H.,
Liu, X.,
Kwak, Y.,
Yoo, B.I.,
Han, J.,
Choi, C.,
A Generalized and Robust Method Towards Practical Gaze Estimation on
Smart Phone,
Gaze19(1131-1139)
IEEE DOI
2004
gaze tracking, iterative methods,
learning (artificial intelligence), mobile computing,
smart phone
BibRef
Schulc, A.[Attila],
Cohn, J.F.[Jeffrey F.],
Shen, J.[Jie],
Pantic, M.[Maja],
Automatic Measurement of Visual Attention to Video Content using Deep
Learning,
MVA19(1-6)
DOI Link
1911
convolutional neural nets, face recognition,
learning (artificial intelligence), video signal processing,
Internet of Things
BibRef
Watanabe, Y.,
Nakazawa, A.,
Mitsuzumi, Y.,
Nishida, T.,
Spatio-temporal eye contact detection combining CNN and LSTM,
MVA19(1-7)
DOI Link
1911
convolutional neural nets, face recognition, gaze tracking,
image classification, neural nets, video signal processing, LSTM, Statistics
BibRef
Lévęque, L.,
Liu, H.,
An Eye-Tracking Database of Video Advertising,
ICIP19(425-429)
IEEE DOI
1910
Eye-tracking, visual attention, saliency, video advertising
BibRef
Lian, D.[Dongze],
Yu, Z.[Zehao],
Gao, S.H.[Sheng-Hua],
Believe It or Not, We Know What You Are Looking At!,
ACCV18(III:35-50).
Springer DOI
1906
BibRef
Celiktutan, O.[Oya],
Demiris, Y.[Yiannis],
Inferring Human Knowledgeability from Eye Gaze in Mobile Learning
Environments,
ACVR18(VI:193-209).
Springer DOI
1905
BibRef
Bianconi, F.,
Filippucci, M.,
Felicini, N.,
Immersive Wayfinding: Virtual Reconstruction and Eye-tracking For
Orientation Studies Inside Complex Architecture,
3DARCH19(143-150).
DOI Link
1904
BibRef
Tamura, M.[Masayuki],
Nakamura, S.[Satoshi],
A Method for Enriching Video-Watching Experience with Applied Effects
Based on Eye Movements,
MMMod19(II:547-553).
Springer DOI
1901
BibRef
Yu, B.,
Clark, J.J.,
WAYLA - Generating Images from Eye Movements,
CRV18(118-125)
IEEE DOI
1812
Heating systems, Image segmentation,
Generative adversarial networks,
Convolutional Network
BibRef
Yang, B.,
Cui, J.,
Tong, Y.,
Wang, L.,
Zha, H.,
Recognition of Infants' Gaze Behaviors and Emotions,
ICPR18(3204-3209)
IEEE DOI
1812
Feature extraction, Emotion recognition, Face, Psychology, Videos,
Magnetic heads, gaze behavior, emotion, head pose, Neural Network
BibRef
Ranjan, R.,
de Mello, S.,
Kautz, J.,
Light-Weight Head Pose Invariant Gaze Tracking,
AMFG18(2237-22378)
IEEE DOI
1812
Head, Magnetic heads, Estimation, Gaze tracking, Cameras, Training, Iris
BibRef
Xu, Y.,
Dong, Y.,
Wu, J.,
Sun, Z.,
Shi, Z.,
Yu, J.,
Gao, S.,
Gaze Prediction in Dynamic 360° Immersive Videos,
CVPR18(5333-5342)
IEEE DOI
1812
Videos, Gaze tracking, Resists, Task analysis, Saliency detection,
Games, Cameras
BibRef
Startsev, M.,
Dorr, M.,
Increasing Video Saliency Model Generalizability by Training for
Smooth Pursuit Prediction,
Cognitive18(2050-20503)
IEEE DOI
1812
Data models, Predictive models, Training, Observers, Measurement,
Visualization, Gaze tracking
BibRef
Jiang, L.[Lai],
Xu, M.[Mai],
Liu, T.[Tie],
Qiao, M.L.[Ming-Lang],
Wang, Z.L.[Zu-Lin],
DeepVS: A Deep Learning Based Video Saliency Prediction Approach,
ECCV18(XIV: 625-642).
Springer DOI
1810
Eye tracking database.
BibRef
Brau, E.[Ernesto],
Guan, J.Y.[Jin-Yan],
Jeffries, T.[Tanya],
Barnard, K.[Kobus],
Multiple-Gaze Geometry: Inferring Novel 3D Locations from Gazes
Observed in Monocular Video,
ECCV18(II: 641-659).
Springer DOI
1810
BibRef
Chong, E.[Eunji],
Ruiz, N.[Nataniel],
Wang, Y.X.[Yong-Xin],
Zhang, Y.[Yun],
Rozga, A.[Agata],
Rehg, J.M.[James M.],
Connecting Gaze, Scene, and Attention: Generalized Attention Estimation
via Joint Modeling of Gaze and Scene Saliency,
ECCV18(VI: 397-412).
Springer DOI
1810
BibRef
Kuo, T.S.[Tzu-Sheng],
Shih, K.T.[Kuang-Tsu],
Chung, S.L.[Sheng-Lung],
Chen, H.H.[Homer H.],
Depth from Gaze,
ICIP18(2910-2914)
IEEE DOI
1809
Estimation, Visualization, Calibration, Tracking, Monitoring, Gaze,
augmented reality
BibRef
Li, B.,
Liu, Q.,
Shi, X.,
Yang, Y.,
Graph-Based Saliency Fusion with Superpixel-Level Belief Propagation
for 3D Fixation Prediction,
ICIP18(2321-2325)
IEEE DOI
1809
Databases,
Solid modeling, Predictive models, Stereo image processing,
global optimization
BibRef
Grogorick, S.,
Albuquerque, G.,
Magnor, M.,
Comparing Unobtrusive Gaze Guiding Stimuli in Head-Mounted Displays,
ICIP18(2805-2809)
IEEE DOI
1809
Visualization, Gaze tracking, Head-mounted displays,
Virtual reality, Modulation, Resists, Shape, Virtual Reality,
Eye Tracking
BibRef
Gui, D.D.[Dong-Dong],
Zhong, S.H.[Sheng-Hua],
Ming, Z.[Zhong],
Implicit Affective Video Tagging Using Pupillary Response,
MMMod18(II:165-176).
Springer DOI
1802
BibRef
Yu, Y.,
Choi, J.,
Kim, Y.,
Yoo, K.,
Lee, S.H.,
Kim, G.,
Supervising Neural Attention Models for Video Captioning by Human
Gaze Data,
CVPR17(6119-6127)
IEEE DOI
1711
Convolution, Data models, Feature extraction, Gaze tracking,
Motion pictures, Predictive models, Visualization
BibRef
Sattar, H.,
Bulling, A.,
Fritz, M.,
Predicting the Category and Attributes of Visual Search Targets Using
Deep Gaze Pooling,
CogCV17(2740-2748)
IEEE DOI
1802
Computer architecture, Data collection,
Search problems, Training, Visualization
BibRef
Soler-Dominguez, J.L.[Jose L.],
Camba, J.D.[Jorge D.],
Contero, M.[Manuel],
Alcańiz, M.[Mariano],
A Proposal for the Selection of Eye-Tracking Metrics for the
Implementation of Adaptive Gameplay in Virtual Reality Based Games,
VAMR17(369-380).
Springer DOI
1712
BibRef
Khosravan, N.[Naji],
Celik, H.[Haydar],
Turkbey, B.[Baris],
Cheng, R.[Ruida],
McCreedy, E.[Evan],
McAuliffe, M.[Matthew],
Bednarova, S.[Sandra],
Jones, E.[Elizabeth],
Chen, X.J.[Xin-Jian],
Choyke, P.[Peter],
Wood, B.[Bradford],
Bagci, U.[Ulas],
Gaze2Segment: A Pilot Study for Integrating Eye-Tracking Technology
into Medical Image Segmentation,
MCV16(94-104).
Springer DOI
1711
BibRef
Cognolato, M.[Matteo],
Graziani, M.[Mara],
Giordaniello, F.[Francesca],
Saetta, G.[Gianluca],
Bassetto, F.[Franco],
Brugger, P.[Peter],
Caputo, B.[Barbara],
Müller, H.[Henning],
Atzori, M.[Manfredo],
Semi-automatic Training of an Object Recognition System in Scene Camera
Data Using Gaze Tracking and Accelerometers,
CVS17(175-184).
Springer DOI
1711
BibRef
Tavakoli, H.R.,
Ahmed, F.,
Borji, A.,
Laaksonen, J.,
Saliency Revisited: Analysis of Mouse Movements Versus Fixations,
CVPR17(6354-6362)
IEEE DOI
1711
Analytical models, Context modeling, Databases, Gaze tracking,
Measurement, Mice, Visualization
BibRef
Karessli, N.,
Akata, Z.,
Schiele, B.,
Bulling, A.,
Gaze Embeddings for Zero-Shot Image Classification,
CVPR17(6412-6421)
IEEE DOI
1711
Birds, Data collection, Gaze tracking, Histograms, Visualization
BibRef
Li, S.,
Cui, W.,
Cui, J.,
Wang, L.,
Li, M.,
Zha, H.,
Improving Children's Gaze Prediction via Separate Facial Areas and
Attention Shift Cue,
FG17(742-747)
IEEE DOI
1707
Dynamics, Face, Mouth, Predictive models, Psychology,
Resource management, Visualization
BibRef
Hoshino, K.,
Ono, N.,
Measurement of Eyeball Rotational Movements in the Dark Environment,
HAAHDC17(75-80)
IEEE DOI
1609
brightness, eye, image colour analysis, light emitting diodes,
rotation measurement, auxiliary light,
black eyeball image acquisition, brightness, dark environment,
estimated error evaluation,
eyeball rotational movement measurement, light irradiation,
small blue LED light irradiation, visual measurement,
white vessel, Biomedical imaging, Blood vessels, Brightness,
Histograms, Iris, Motion measurement, Rotation, measurement
BibRef
Murrugarra-Llerena, N.,
Kovashka, A.,
Learning Attributes from Human Gaze,
WACV17(510-519)
IEEE DOI
1609
Adaptation models, Computational modeling, Footwear,
Predictive models, Semantics, Training, Visualization
BibRef
Montenegro, J.M.F.,
Argyriou, V.,
Gaze estimation using EEG signals for HCI in augmented and virtual
reality headsets,
ICPR16(1159-1164)
IEEE DOI
1705
Electroencephalography, Feature extraction, Gaze tracking,
Quaternions, Sensors, Tracking
BibRef
Rezazadegan Tavakoli, H.[Hamed],
Poostchi, H.[Hanieh],
Peltonen, J.[Jaakko],
Laaksonen, J.[Jorma],
Kaski, S.[Samuel],
Preliminary Studies on Personalized Preference Prediction from Gaze in
Comparing Visualizations,
ISVC16(II: 576-585).
Springer DOI
1701
BibRef
Liu, Y.[Yi],
Lee, B.S.[Bu Sung],
Mckeown, M.[Martin],
A new reconstruction method in gaze estimation with natural head
movement,
MVA17(219-222)
DOI Link
1708
Estimation, Face, Feature extraction, Magnetic heads, Manifolds, Tracking
BibRef
Liu, Y.[Yi],
Lee, B.S.[Bu Sung],
Sluzek, A.[Andrzej],
Rajan, D.[Deepu],
Mckeown, M.[Martin],
Feasibility Analysis of Eye Typing with a Standard Webcam,
ACVR16(II: 254-268).
Springer DOI
1611
BibRef
Li, J.,
Li, S.,
Two-phase approach: Calibration and iris contour estimation:
For gaze tracking of head-mounted eye camera,
ICIP16(3136-3140)
IEEE DOI
1610
Decision support systems
BibRef
Rai, Y.,
Le Callet, P.,
Cheung, G.,
Role of HEVC coding artifacts on gaze prediction in interactive video
streaming systems,
ICIP16(3344-3348)
IEEE DOI
1610
Buildings
BibRef
Min, X.,
Zhai, G.,
Gu, K.,
Visual attention on human face,
VCIP15(1-4)
IEEE DOI
1605
Computational modeling
BibRef
Min, X.,
Zhai, G.,
Hu, C.,
Gu, K.,
Fixation prediction through multimodal analysis,
VCIP15(1-4)
IEEE DOI
1605
Computational modeling
BibRef
Yoshimura, K.[Kazuyo],
Kise, K.[Koichi],
Kunze, K.[Kai],
The eye as the window of the language ability: Estimation of English
skills by analyzing eye movement while reading documents,
ICDAR15(251-255)
IEEE DOI
1511
BibRef
Ye, Z.F.[Zhe-Fan],
Li, Y.[Yin],
Liu, Y.[Yun],
Bridges, C.,
Rozga, A.,
Rehg, J.M.,
Detecting bids for eye contact using a wearable camera,
FG15(1-8)
IEEE DOI
1508
cameras
BibRef
Arar, N.M.,
Gao, H.[Hua],
Thiran, J.P.,
Robust gaze estimation based on adaptive fusion of multiple cameras,
FG15(1-7)
IEEE DOI
1508
cameras
BibRef
Cazzato, D.[Dario],
Leo, M.[Marco],
Spagnolo, P.[Paolo],
Distante, C.[Cosimo],
Pervasive Retail Strategy Using a Low-Cost Free Gaze Estimation System,
VAAM14(23-39).
Springer DOI
1411
BibRef
Fernández, A.,
Ortega, M.[Marcos],
Penedo, M.G.[Manuel G.],
Computer Aided Hearing Assessment:
Detection of Eye Gesture Reactions as a Response to the Sound,
ICIAR14(II: 39-47).
Springer DOI
1410
BibRef
Papadopoulos, D.P.[Dim P.],
Uijlings, J.R.R.,
Keller, F.[Frank],
Ferrari, V.[Vittorio],
Training Object Class Detectors with Click Supervision,
CVPR17(180-189)
IEEE DOI
1711
BibRef
Earlier:
We Don't Need No Bounding-Boxes: Training Object Class
Detectors Using Only Human Verification,
CVPR16(854-863)
IEEE DOI
1612
Computational modeling, Detectors, Protocols,
Training, Videos
BibRef
Papadopoulos, D.P.[Dim P.],
Clarke, A.D.F.[Alasdair D. F.],
Keller, F.[Frank],
Ferrari, V.[Vittorio],
Training Object Class Detectors from Eye Tracking Data,
ECCV14(V: 361-376).
Springer DOI
1408
BibRef
Ishimaru, S.,
Kunze, K.,
Utsumi, Y.,
Iwamura, M.,
Kise, K.,
Where Are You Looking At? - Feature-Based Eye Tracking on Unmodified
Tablets,
ACPR13(738-739)
IEEE DOI
1408
feature extraction
BibRef
Itoh, Y.,
Klinker, G.,
Interaction-free calibration for optical see-through head-mounted
displays based on 3D Eye localization,
3DUI14(75-82)
IEEE DOI
1406
calibration
BibRef
Schulze, C.[Christian],
Frister, R.[Robby],
Shafait, F.[Faisal],
Eye-tracker based part-image selection for image retrieval,
ICIP13(4392-4396)
IEEE DOI
1402
CBIR; eye tracking; gaze based interaction; image retrieval
BibRef
Cheng, Q.[Qin],
Agrafiotis, D.[Dimitris],
Achim, A.[Alin],
Bull, D.[Dave],
Gaze location prediction for broadcast football video using Bayesian
integration of low level features and top-down cues,
ICIP13(226-230)
IEEE DOI
1402
Adaptation models
BibRef
Antonya, C.[Csaba],
Accuracy of gaze point estimation in immersive 3D interaction interface
based on eye tracking,
ICARCV12(1125-1129).
IEEE DOI
1304
BibRef
Feng, Y.L.[Yun-Long],
Cheung, G.[Gene],
Tan, W.T.[Wai-Tian],
Ji, Y.S.[Yu-Sheng],
Gaze-Driven video streaming with saliency-based dual-stream switching,
VCIP12(1-6).
IEEE DOI
1302
BibRef
Vig, E.[Eleonora],
Dorr, M.[Michael],
Cox, D.D.[David D.],
Space-Variant Descriptor Sampling for Action Recognition Based on
Saliency and Eye Movements,
ECCV12(VII: 84-97).
Springer DOI
1210
BibRef
Li, Y.[Yin],
Fathi, A.[Alireza],
Rehg, J.M.[James M.],
Learning to Predict Gaze in Egocentric Video,
ICCV13(3216-3223)
IEEE DOI
1403
BibRef
And: A2, A1, A3:
Learning to Recognize Daily Actions Using Gaze,
ECCV12(I: 314-327).
Springer DOI
1210
Action Recognition
BibRef
Bardins, S.[Stanislavs],
Poitschke, T.[Tony],
Kohlbecher, S.[Stefan],
Gaze-based interaction in various environments,
VNBA08(47-54).
DOI Link
1208
Gaze is a cue to user's intentions, current mental state, etc.
BibRef
Svendsen, J.[Jeremy],
Beugling, T.[Trevor],
Branzan-Albu, A.[Alexandra],
Computer vision based assessment of hand-eye coordination in young
gamers: A baseline approach,
CVCG12(13-18).
IEEE DOI
1207
BibRef
Mehrubeoglu, M.[Mehrube],
Pham, L.M.[Linh Manh],
Le, H.T.[Hung Thieu],
Muddu, R.[Ramchander],
Ryu, D.[Dongseok],
Real-time eye tracking using a smart camera,
AIPR11(1-7).
IEEE DOI
1204
BibRef
Walber, T.[Tina],
Scherp, A.[Ansgar],
Staab, S.[Steffen],
Identifying Objects in Images from Analyzing the Users' Gaze Movements
for Provided Tags,
MMMod12(138-148).
Springer DOI
1201
BibRef
Bazyluk, B.[Bartosz],
Mantiuk, R.[Radoslaw],
Gaze-Driven Object Tracking Based on Optical Flow Estimation,
ICCVG14(84-91).
Springer DOI
1410
BibRef
Mantiuk, R.[Radoslaw],
Kowalik, M.[Michal],
Nowosielski, A.[Adam],
Bazyluk, B.[Bartosz],
Do-It-Yourself Eye Tracker: Low-Cost Pupil-Based Eye Tracker for
Computer Graphics Applications,
MMMod12(115-125).
Springer DOI
1201
BibRef
Sur, R.,
Noy, L.,
Flash, T.,
Kedem, B.,
Modeling long memory eye gaze data,
EUVIP10(193-197).
IEEE DOI
1110
BibRef
Cuong, N.H.[Nguyen Huu],
Hoang, H.T.[Huynh Thai],
Eye-gaze detection with a single WebCAM based on geometry features
extraction,
ICARCV10(2507-2512).
IEEE DOI
1109
BibRef
Hopf, K.[Klaus],
Neumann, F.[Frank],
Przewozny, D.[David],
Multi-user eye tracking suitable for 3D display applications,
3DTV11(1-4).
IEEE DOI
1105
See also Near and far distance gesture tracking for 3D applications.
BibRef
Panggabean, M.[Mauritz],
Salater, S.[Stig],
Ronningen, L.A.[Leif Arne],
Eye tracking for foveation video coding and simple scene description,
IPTA10(385-390).
IEEE DOI
1007
BibRef
Benfold, B.[Ben],
Reid, I.D.[Ian D.],
Unsupervised learning of a scene-specific coarse gaze estimator,
ICCV11(2344-2351).
IEEE DOI
1201
BibRef
Reid, I.D.[Ian D.],
Benfold, B.[Ben],
Patron, A.[Alonso],
Sommerlade, E.[Eric],
Understanding Interactions and Guiding Visual Surveillance by Tracking
Attention,
Gaze10(380-389).
Springer DOI
1109
BibRef
Benfold, B.[Ben],
Reid, I.D.[Ian D.],
Guiding Visual Surveillance by Tracking Human Attention,
BMVC09(xx-yy).
PDF File.
WWW Link.
0909
BibRef
Canton-Ferrer, C.,
Segura, C.,
Pardas, M.,
Casas, J.R.,
Hernando, J.,
Multimodal real-time focus of attention estimation in SmartRooms,
CVPR4HB08(1-8).
IEEE DOI
0806
BibRef
Yi, S.Y.[Sang-Yi],
Chae, H.B.[Ho-Byung],
Lee, S.H.[Seung-Hyun],
Moving Parallax Barrier Design for Eye-Tracking Autostereoscopic
Displays,
3DTV08(165-168).
IEEE DOI
0805
BibRef
Yang, J.C.[Jinn-Cherng],
Wu, C.S.[Chang-Shuo],
Hsiao, C.H.[Chuan-Heng],
Tsai, R.Y.[Rung-Ywan],
Hung, Y.P.[Yi-Ping],
Evaluation of an Eye Tracking Technology for 3D Display Applications,
3DTV08(345-348).
IEEE DOI
0805
BibRef
Yoon, S.M.[Sang Min],
Graf, H.[Holger],
3D Eye Position Based Interaction within Hierarchically Represented
Images,
3DTV08(389-392).
IEEE DOI
0805
BibRef
Ki, J.S.[Jeong-Seok],
Kwon, Y.M.[Yong-Moo],
3D Gaze Estimation and Interaction,
3DTV08(373-376).
IEEE DOI
0805
BibRef
da Silva, M.P.[Matthieu Perreira],
Courboulay, V.[Vincent],
Prigent, A.[Armelle],
Estraillier, P.[Pascal],
Real-Time Face Tracking for Attention Aware Adaptive Games,
CVS08(xx-yy).
Springer DOI
0805
BibRef
Vu, C.T.,
Larson, E.C.,
Chandler, D.M.,
Visual Fixation Patterns when Judging Image Quality:
Effects of Distortion Type, Amount, and Subject Experience,
Southwest08(73-76).
IEEE DOI
0803
BibRef
Funahashi, T.[Takuma],
Fujiwara, T.[Takayuki],
Koshimizu, H.[Hiroyasu],
Iris Tracking and Regeneration for Improving Nonverbal Interface,
ACCV07(II: 891-900).
Springer DOI
0711
BibRef
Kienzle, W.[Wolf],
Schölkopf, B.[Bernhard],
Wichmann, F.A.[Felix A.],
Franz, M.O.[Matthias O.],
How to Find Interesting Locations in Video: A Spatiotemporal Interest
Point Detector Learned from Human Eye Movements,
DAGM07(405-414).
Springer DOI
0709
BibRef
Earlier: A1, A3, A2, A4:
Learning an Interest Operator from Human Eye Movements,
BP06(24).
IEEE DOI
0609
BibRef
Oyekoya, O.[Oyewole],
Stentiford, F.[Fred],
Perceptual Image Retrieval Using Eye Movements,
IWICPAS06(281-289).
Springer DOI
0608
BibRef
Earlier:
Exploring human eye behaviour using a model of visual attention,
ICPR04(IV: 945-948).
IEEE DOI
0409
BibRef
Perini, E.[Emanuele],
Soria, S.[Simone],
Prati, A.[Andrea],
Cucchiara, R.[Rita],
FaceMouse: A Human-Computer Interface for Tetraplegic People,
CVHCI06(99-108).
Springer DOI
0605
BibRef
Bednarik, R.[Roman],
Kinnunen, T.[Tomi],
Mihaila, A.[Andrei],
Fränti, P.[Pasi],
Eye-Movements as a Biometric,
SCIA05(780-789).
Springer DOI
0506
BibRef
Breton, G.[Gaspard],
Pelé, D.[Danielle],
Garcia, C.[Christophe],
Panaget, F.[Franck],
Bretier, P.[Philippe],
Modeling Gaze Behavior for a 3D ECA in a Dialogue Situation,
GW05(252-255).
Springer DOI
0505
BibRef
Criminisi, A.,
Shotton, J.D.J.,
Blake, A.,
Torr, P.H.S.,
Gaze manipulation for one-to-one teleconferencing,
ICCV03(191-198).
IEEE DOI
0311
BibRef
Haritaoglu, I.,
Flickner, M.D.,
Attentive billboards: towards to video based customer behavior
understanding,
WACV02(127-131).
IEEE DOI
0303
BibRef
Earlier:
Attentive billboards,
CIAP01(162-167).
IEEE DOI
0210
Count and time people looking at billboards.
BibRef
Barea, R.,
Boquete, L.,
Mazo, M.,
López, E.,
Bergasa, L.M.,
E.O.G Guidance of a Wheelchair Using Neural Networks,
ICPR00(Vol IV: 668-671).
IEEE DOI
0009
Electro-Oculo-Graphy (eye position)
BibRef
Klingspohr, H.,
Block, T.,
Grigat, R.R.,
A passive real-time gaze estimation system for human-machine interfaces,
CAIP97(718-725).
Springer DOI
9709
BibRef
Chapter on Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Eye State, Blink, Open, Closed .