Roland Goecke - Google Scholar Citations

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Citations	5908	4570
h-index	40	33
i10-index	97	72

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Co-authors

Abhinav DhallMonash UniversityVerified email at monash.edu
Tom GedeonProfessor of Computer Science, Australian National UniversityVerified email at cs.anu.edu.au
Michael WagnerProfessor of Computing, University of CanberraVerified email at canberra.edu.au
Jyoti JoshiMonash UniversityVerified email at monash.edu
Julien EppsProfessor, The University of New South WalesVerified email at unsw.edu.au
Michael BreakspearUniversity of Newcastle, AustraliaVerified email at qimr.edu.au
Akshay AsthanaPrincipal Scientist, Seeing Machines Inc.Verified email at seeingmachines.com
Gordon ParkerUniversity of New South Wales, Black Dog InstituteVerified email at unsw.edu.au
Sharifa AlghowinemAustralian National University, Prince Sultan UniversityVerified email at anu.edu.au
Ramana MurthyAmrita Vishwa Vidyapeetham, CoimbatoreVerified email at cb.amrita.edu
Simon LuceyAssociate Research Professor, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Ibrahim RadwanAssistant Professor, University of CanberraVerified email at canberra.edu.au
Jason SaragihResearch Scientist, Facebook Reality LabsVerified email at fb.com
Nicholas CumminsUniversität AugsburgVerified email at ieee.org
Munawar HayatIIAI UAEVerified email at inceptioniai.org
Jeffrey CohnProfessor of Psychology, Psychiatry, and Intelligent Systems,University of PittsburghVerified email at pitt.edu
Professor Alex ZelinskyUniversity of Newcastle, DST, CSIRO, Australian National University, University of WollongongVerified email at newcastle.edu.au
Matej KristanAssociate Professor at Faculty of computer and information science, University of LjubljanaVerified email at fri.uni-lj.si
Roman PflugfelderScientist at Austrian Institute of Technology (AIT), Lecturer at TU WienVerified email at ait.ac.at
Ales LeonardisProfessor of Computer ScienceVerified email at cs.bham.ac.uk

Roland Goecke

Professor of Affective Computing, Human-Centred Technology Research Centre, University of Canberra

Verified email at canberra.edu.au - Homepage

Affective Computing Computer Vision Pattern Recognition Human-Computer Interaction Multimodal Signal Processing


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The Visual Object Tracking VOT2013 challenge results M Kristan, R Pflugfelder, A Leonardis, J Matas, F Porikli, A Khajenezhad, ... IEEE International Conference on Computer Vision Workshops, 98-111, 2013	1033	2013
Collecting Large, Richly Annotated Facial-Expression Databases from Movies A Dhall, R Goecke, S Lucey, T Gedeon IEEE MultiMedia 19 (3), 34-41, 2012	315	2012
Static facial expression analysis in tough conditions: Data, evaluation protocol and benchmark A Dhall, R Goecke, S Lucey, T Gedeon 2011 IEEE International Conference on Computer Vision Workshops (ICCV …, 2011	230	2011
Emotion recognition using PHOG and LPQ features A Dhall, A Asthana, R Goecke, T Gedeon 2011 IEEE International Conference on Automatic Face & Gesture Recognition …, 2011	218	2011
Video and image based emotion recognition challenges in the wild: Emotiw 2015 A Dhall, OV Ramana Murthy, R Goecke, J Joshi, T Gedeon Proceedings of the 2015 ACM on international conference on multimodal …, 2015	191	2015
A nonlinear discriminative approach to AAM fitting J Saragih, R Goecke IEEE 11th International Conference on Computer Vision (ICCV 2007), 1-8, 2007	179	2007
Emotion recognition in the wild A Dhall, R Goecke, T Gedeon, N Sebe Journal on Multimodal User Interfaces, 1-3, 2016	177*	2016
Emotion Recognition In The Wild Challenge 2013 A Dhall, R Goecke, J Joshi, M Wagner, T Gedeon 15th ACM International Conference on Multimodal Interaction (ICMI 2013), 2013	177	2013
Emotion recognition in the wild challenge 2014: Baseline, data and protocol A Dhall, R Goecke, J Joshi, K Sikka, T Gedeon Proceedings of the 16th international conference on multimodal interaction …, 2014	152	2014
From individual to group-level emotion recognition: Emotiw 5.0 A Dhall, R Goecke, S Ghosh, J Joshi, J Hoey, T Gedeon Proceedings of the 19th ACM international conference on multimodal …, 2017	109	2017
Emotiw 2016: Video and group-level emotion recognition challenges A Dhall, R Goecke, J Joshi, J Hoey, T Gedeon Proceedings of the 18th ACM international conference on multimodal …, 2016	107	2016
An investigation of depressed speech detection: Features and normalization N Cummins, J Epps, M Breakspear, R Goecke Twelfth Annual Conference of the International Speech Communication Association, 2011	105	2011
Multimodal Assistive Technologies for Depression Diagnosis and Monitoring J Joshi, R Goecke, S Alghowinem, A Dhall, M Wagner, J Epps, G Parker, ... Journal on Multimodal User Interfaces, 2013	99	2013
Learning AAM fitting through simulation J Saragih, R Göcke Pattern Recognition 42 (11), 2628-2636, 2009	85	2009
Diagnosis of depression by behavioural signals: a multimodal approach N Cummins, J Joshi, A Dhall, V Sethu, R Goecke, J Epps Proceedings of the 3rd ACM international workshop on Audio/visual emotion …, 2013	81	2013
Detecting Depression: A Comparison between Spontaneous and Read Speech S Alghowinem, R Goecke, M Wagner, J Epps, M Breakspear, G Parker 38th International Conference on Acoustics, Speech, and Signal Processing …, 2013	81	2013
Fast voxel-based 2D/3D registration algorithm using a volume rendering method based on the shear-warp factorization J Weese, R Goecke, GP Penney, P Desmedt, TM Buzug, H Schumann Medical Imaging 1999: Image Processing 3661, 802-810, 1999	77	1999
Can body expressions contribute to automatic depression analysis? J Joshi, R Goecke, G Parker, M Breakspear 2013 10th IEEE International Conference and Workshops on Automatic Face and …, 2013	75	2013
Evaluating AAM fitting methods for facial expression recognition A Asthana, J Saragih, M Wagner, R Goecke 3rd International Conference on Affective Computing and Intelligent …, 2009	74	2009
Automatic group happiness intensity analysis A Dhall, R Goecke, T Gedeon IEEE Transactions on Affective Computing 6 (1), 13-26, 2015	71	2015

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