Roland Goecke

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Abhinav DhallMonash University and IIT RoparVerified 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 JoshiKroop AIVerified email at monash.edu
Julien EppsProfessor, The University of New South WalesVerified email at unsw.edu.au
Michael BreakspearUniversity of Newcastle, AustraliaVerified email at newcastle.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
Simon LuceyProfessor, University of AdelaideVerified email at adelaide.edu
Ramana MurthyAmrita Vishwa Vidyapeetham, CoimbatoreVerified email at cb.amrita.edu
Ibrahim RadwanAssistant Professor, University of CanberraVerified email at canberra.edu.au
Jason SaragihResearch Scientist, Facebook Reality LabsVerified email at fb.com
Nicholas CumminsKing's College LondonVerified email at kcl.ac.uk
Munawar HayatMonash UniversityVerified email at monash.edu
Jeffrey CohnProfessor of Psychology, Psychiatry, and Intelligent Systems,University of PittsburghVerified email at pitt.edu
Karan SikkaSRI International, UCSDVerified email at sri.com
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 tuwien.ac.at

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	1278	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	399	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	354	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	252	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	251	2015
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	204	2013
A nonlinear discriminative approach to AAM fitting J Saragih, R Goecke IEEE 11th International Conference on Computer Vision (ICCV 2007), 1-8, 2007	194	2007
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	177	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	155	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	139	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	131	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	125	2013
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	101	2013
Automatic group happiness intensity analysis A Dhall, R Goecke, T Gedeon IEEE Transactions on Affective Computing 6 (1), 13-26, 2015	94	2015
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	94	2013
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	91	2013
Head Pose and Movement Analysis as an Indicator of Depression S Alghowinem, R Goecke, M Wagner, G Parker, M Breakspear Proceedings of the Fifth Biannual Humaine Association Conference on …, 2013	90	2013
Learning AAM fitting through simulation J Saragih, R Göcke Pattern Recognition 42 (11), 2628-2636, 2009	90	2009
Extending long short-term memory for multi-view structured learning SS Rajagopalan, LP Morency, T Baltrusaitis, R Goecke European Conference on Computer Vision, 338-353, 2016	83	2016
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	83	2009

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