Roland Goecke

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Abhinav DhallIndian Institute of Technology Ropar; Monash University; IIIT-DelhiVerified email at iitrpr.ac.in
Tom GedeonOptus Chair in AI, Curtin UniversityVerified email at curtin.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
Sharifa AlghowinemMassachusetts Institute of Technology, Australian National University, Prince Sultan UniversityVerified email at media.mit.edu
Gordon ParkerUniversity of New South Wales, Black Dog InstituteVerified email at unsw.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
Munawar HayatMonash UniversityVerified email at monash.edu
Nicholas CumminsKing's College LondonVerified email at kcl.ac.uk
Jeffrey CohnProfessor of Psychology, Psychiatry, and Intelligent Systems,University of PittsburghVerified email at pitt.edu
Matej KristanFull Professor at Faculty of computer and information science, University of LjubljanaVerified email at fri.uni-lj.si
Roman PflugfelderMarie Curie Fellow at TUM/TechnionVerified email at tum.de
Ales LeonardisProfessor of Computer ScienceVerified email at cs.bham.ac.uk
Jiri MatasProfessor, Czech Technical UniversityVerified email at cmp.felk.cvut.cz
Michael FelsbergProfessor of Computer Vision, Linköping UniversityVerified email at liu.se

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	1982	2013
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	518	2011
Collecting Large, Richly Annotated Facial-Expression Databases from Movies A Dhall, R Goecke, S Lucey, T Gedeon IEEE MultiMedia 19 (3), 34-41, 2012	513	2012
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	311	2015
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	281	2011
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	214	2014
A nonlinear discriminative approach to AAM fitting J Saragih, R Goecke IEEE 11th International Conference on Computer Vision (ICCV 2007), 1-8, 2007	212	2007
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	207	2013
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	205	2017
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	181	2011
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	156	2016
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	154	2013
Eye Movement Analysis for Depression Detection S Alghowinem, R Goecke, M Wagner, G Parker, M Breakspear 2013 20th IEEE International Conference on Image Processing (ICIP2013), 4220 …, 2013	128	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	124	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	123	2013
Multimodal depression detection: fusion analysis of paralinguistic, head pose and eye gaze behaviors S Alghowinem, R Goecke, M Wagner, J Epps, M Hyett, G Parker, ... IEEE Transactions on Affective Computing 9 (4), 478-490, 2016	121	2016
Emotiw 2018: Audio-video, student engagement and group-level affect prediction A Dhall, A Kaur, R Goecke, T Gedeon Proceedings of the 20th ACM International Conference on Multimodal …, 2018	120	2018
Extending long short-term memory for multi-view structured learning SS Rajagopalan, LP Morency, T Baltrusaitis, R Goecke Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016	119	2016
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	119	2013
Adversarial defense by restricting the hidden space of deep neural networks A Mustafa, S Khan, M Hayat, R Goecke, J Shen, L Shao Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019	112	2019

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