By Professor Roland Goecke

Conference Papers

Goecke R; Asthana A; Pettersson N; Petersson L, 2007, 'Visual vehicle egomotion estimation using the Fourier-Mellin Transform', in IEEE Intelligent Vehicles Symposium Proceedings, pp. 450 - 455, http://dx.doi.org/10.1109/ivs.2007.4290156

Robles-Kelly A; Goecke R, 2006, 'A wavelet-based approach to image feature stability assessment', in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, http://dx.doi.org/10.1109/CVPRW.2006.22

Huy TH; Goecke R, 2006, 'Automatic parametrisation for an image completion method based on markov random fields', in Proceedings International Conference on Image Processing Icip, pp. III541 - III544, http://dx.doi.org/10.1109/ICIP.2007.4379366

Saragih J; Goecke R, 2006, 'Iterative error bound minimisation for AAM alignment', in Tang YY; Wang SP; Lorette G; Yeung DS; Yan H (eds.), 18TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL 2, PROCEEDINGS, IEEE COMPUTER SOC, PEOPLES R CHINA, Hong Kong, pp. 1192 - +, presented at 18th International Conference on Pattern Recognition (ICPR 2006), PEOPLES R CHINA, Hong Kong, 20 August 2006 - 24 August 2006

Saragih J; Goecke R, 2006, 'Iterative error bound minimisation for AAM alignment', in Proceedings International Conference on Pattern Recognition, pp. 1195 - 1196, http://dx.doi.org/10.1109/ICPR.2006.730

Goecke R, 2005, 'Current trends in joint audio-video signal processing: A review', in Proceedings 8th International Symposium on Signal Processing and Its Applications Isspa 2005, pp. 70 - 73, http://dx.doi.org/10.1109/ISSPA.2005.1580198

Goecke R, 2005, '3D LIP TRACKING AND CO-INERTIA ANALYSIS FOR IMPROVED ROBUSTNESS OF AUDIO-VIDEO AUTOMATIC SPEECH RECOGNITION', in Auditory Visual Speech Processing 2005 Avsp 2005, pp. 109 - 114

Mader S; Peter C; Gocke R; Schultz R; Voskamp J; Urban B, 2004, 'A freely configurable, multi-modal sensor system for affective computing', in Lecture Notes in Artificial Intelligence Subseries of Lecture Notes in Computer Science, pp. 313 - 318, http://dx.doi.org/10.1007/978-3-540-24842-2_34

Millar JB; Wagner M; Goecke R, 2004, 'Aspects of speaking-face data corpus design methodology', in 8th International Conference on Spoken Language Processing ICSLP 2004, pp. 1157 - 1160

Goecke R; Millar JB, 2004, 'The audio-video australian english speech data corpus AVOZES', in 8th International Conference on Spoken Language Processing ICSLP 2004, pp. 2525 - 2528

Göcke R, 2003, 'Building a system for writer identification on handwritten music scores', in Proceedings of the IASTED International Conference on Signal Processing Pattern Reconition and Applications, pp. 250 - 255

Goecke R; Millar B, 2003, 'Statistical Analysis of the Relationship between Audio and Video Speech Parameters for Australian English', in Avsp 2003 International Conference on Audio Visual Speech Processing, pp. 133 - 138

Goecke R; Millar JB; Zelinsky A; Robert-Ribes J, 2001, 'Stereo vision lip-tracking for audio-video speech processing', in 2001 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS I-VI, PROCEEDINGS, IEEE, UT, SALT LAKE CITY, pp. 4030 - 4030, presented at IEEE International Conference on Acoustics, Speech, and Signal Processing, UT, SALT LAKE CITY, 07 May 2001 - 11 May 2001

Goecke R; Millar JB; Zelinsky A; Robert-Ribes J, 2001, 'ANALYSIS OF AUDIO-VIDEO CORRELATION IN VOWELS IN AUSTRALIAN ENGLISH', in Auditory Visual Speech Processing 2001 Avsp 2001, pp. 115 - 120

Preprints

Ghosh S; Cai Z; Dhall A; Kollias D; Goecke R; Gedeon T, 2024, MRAC Track 1: 2nd Workshop on Multimodal, Generative and Responsible Affective Computing, http://arxiv.org/abs/2409.07256v1

Narayana S; Radwan I; Subramanian R; Goecke R, 2024, Mood as a Contextual Cue for Improved Emotion Inference, http://arxiv.org/abs/2402.08413v1

Parameshwara R; Radwan I; Asthana A; Abbasnejad I; Subramanian R; Goecke R, 2023, Efficient Labelling of Affective Video Datasets via Few-Shot & Multi-Task Contrastive Learning, http://arxiv.org/abs/2308.02173v1

Gahalawat M; Rojas RF; Guha T; Subramanian R; Goecke R, 2023, Explainable Depression Detection via Head Motion Patterns, http://arxiv.org/abs/2307.12241v1

Narayana S; Radwan I; Parameshwara R; Abbasnejad I; Asthana A; Subramanian R; Goecke R, 2023, A Weakly Supervised Approach to Emotion-change Prediction and Improved Mood Inference, http://arxiv.org/abs/2306.06979v2

Narayana S; Subramanian R; Radwan I; Goecke R, 2023, Focus on Change: Mood Prediction by Learning Emotion Changes via Spatio-Temporal Attention, http://arxiv.org/abs/2303.06632v1

Madan S; Gahalawat M; Guha T; Goecke R; Subramanian R, 2023, Explainable Human-centered Traits from Head Motion and Facial Expression Dynamics, http://arxiv.org/abs/2302.09817v2

Narayana S; Subramanian R; Radwan I; Goecke R, 2022, To Improve Is to Change: Towards Improving Mood Prediction by Learning Changes in Emotion, http://arxiv.org/abs/2210.00719v1

Narayana S; Jain S; Katti H; Goecke R; Subramanian R, 2022, Affective Computational Advertising Based on Perceptual Metrics, http://arxiv.org/abs/2207.07297v1

Parameshwara R; Narayana S; Murugappan M; Subramanian R; Radwan I; Goecke R, 2022, Automated Parkinson's Disease Detection and Affective Analysis from Emotional EEG Signals, http://arxiv.org/abs/2202.12936v1

Malik H; Dhillon H; Goecke R; Subramanian R, 2020, Characterizing Hirability via Personality and Behavior, http://arxiv.org/abs/2006.12041v1

Mustafa A; Khan S; Hayat M; Goecke R; Shen J; Shao L, 2019, Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks, http://arxiv.org/abs/1904.00887v4

Huang X; Dhall A; Goecke R; Pietikainen M; Zhao G, 2018, A Global Alignment Kernel based Approach for Group-level Happiness Intensity Estimation, http://arxiv.org/abs/1809.03313v1

Dhall A; Kaur A; Goecke R; Gedeon T, 2018, EmotiW 2018: Audio-Video, Student Engagement and Group-Level Affect Prediction, http://arxiv.org/abs/1808.07773v1

Huang X; Dhall A; Liu X; Zhao G; Shi J; Goecke R; Pietikainen M, 2016, Analyzing the Affect of a Group of People Using Multi-modal Framework, http://arxiv.org/abs/1610.03640v2

Murthy OVR; Goecke R, 2015, Harnessing the Deep Net Object Models for Enhancing Human Action Recognition, http://arxiv.org/abs/1512.06498v2

Radwan I; Dhall A; Goecke R, 2015, Occlusion-Aware Human Pose Estimation with Mixtures of Sub-Trees, http://arxiv.org/abs/1512.01055v1

Hassanin M; radwan I; Tahtali M; Goecke R, Resanet: Residual Aggregation Networks for Dense Prediction, http://dx.doi.org/10.2139/ssrn.4212324

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