SHAUN CANAVAN, Ph.D.

2020

• Md T. Uddin, G. Zamzmi, and S. Canavan, "Accounting for Affect in Pain Level Recognition", ML4H Workshop at Neurips, 2020 (*non-referred) [pdf]


• Sk R. Jannat and S. Canavan, "Classification of Autism Spectrum Disorder Across Age using Questionnaire and Demographic Information", First Workshop on Computational and Affective Intelligence in Healthcare Applications, 2020 [pdf]


• A. Sharma and S. Canavan, "Multimodal Physiological-based Emotion Recognition", International Workshop on Pattern Recognition for Positive Technology and Elderly Wellbeing [pdf]


• Sk. R. Jannat, D. Fabiano, S. Canavan, and T. Neal, "Subject Identification Across large expression variations using 3D facial landmarks", International Workshop on 3D Human Understanding, 2020 [pdf]


• Md T. Uddin and S. Canavan, "Quantified Facial Temporal-Expressiveness Dynamics for Affect Analysis", International Conferennce on Pattern Recognition, 2020 [pdf]


• S. Srivastava, S. Aathreya, S. Hinduja, Sk R. Jannat, H. Elhamdadi, and S. Canavan, "Recognizing Emotion in the Wild using Multimodal Data", International Conference on Multimodal Interaction, 2020 [pdf]


• D. Fabiano, S. Canavan, H. Agazzi, S. Hinduja, and D. Goldgof, "Gaze-based classification of Autism Spectrum Disorder" Pattern Recognition Letters, 135, pp. 204-212, 2020 [pdf]


• S. Aathreya, S. Hinduja, and S. Canavan, "Three-level training of multi-head architecture for pain detection" Face and Gesture Recognition, 2020 [pdf]


• Md T. Uddin and S. Canavan, "Multimodal multilevel fusion for sequential protective behavior detection and pain estimation" Face and Gesture Recognition, 2020 [pdf]


• S. Hinduja, S. Canavan, and G. Kaur, "Multimodal fusion of physiological signals and facial action units for pain recognition" Face and Gesture Recognition, 2020 [pdf]


• T. Neal and S. Canavan, "Mood versus identity: studying the influence of affective states on mobile biometrics" Face and Gesture Recognition, 2020 [pdf]


• S. Hinduja and S. Canavan, "Real-time action unit intensity detection" Face and Gesture Recognition, 2020 [pdf]


• J. Schioppo, Z. Meyer, D. Fabiano, and S. Canavan, "Sign language recognition in virtual reality" Face and Gesture Recognition, 2020 [pdf]


• S. Hinduja, S. Canavan, and L, Yin, "Recognizing Perceived Emotions from Facial Expressions" Face and Gesture Recognition, 2020 [pdf]



2019

• J. Lou, X. Cai, Y. Wang, H. Yu, and S. Canavan, "Multi-subspace Supervised Descent for Robust Face Alignment" Multimedia Tools and Applications 2019 [pdf]


• Md T. Uddin and S. Canavan, "Synthesizing Physiological and Motion Data for Stress and Meditation Detection" ACII Workshop on Machine Learning for Diagnosis and Treatment of Affective Disorders 2019 [pdf]


• D. Fabiano and S. Canavan, "Emotion Recognition using Fused Physiological Signals," ACII 2019 [pdf]


• J. Schioppo, Z. Meyer, D. Fabiano, and S. Canavan, "Learning Sign Language in a Virtual Environment," CHI Late Breaking Work 2019 [pdf]


• S. Hinduja, Md T. Uddin, Sk R. Jannat, A. Sharma, and S. Canavan, "Fusion of Hand-crafted and Deep Features for Empathy Prediction," Face and Gesture Workshops 2019 [pdf]


• D. Fabiano and S. Canavan, "Deformable Synthesis Model for Emotion Recognition," Face and Gesture 2019 [pdf]



2018

• S. Canavan, M. Andujar, L. Yin, A. Nijholt, and E. Schotter, "Ubiquitous Emotion Recognition with Multimodal Mobile Interfaces," UbiComp/ISWC 2018 [pdf]


• S. Canavan and D. Fabiano, "Human Emotion Recognition using Fused Physiological Signals," Army Science and Technology Symposium 2018 [pdf]


• R. Jannat, I. Tynes, L. LaLime, J. Adorno, and S. Canavan, "Ubiquitous Emotion Recognition using Audio and Video Data," UERMMI 2018 [pdf]


• D. Fabiano and S. Canavan, "Spontaneous and Non-Spontaneous 3D facial expression recognition Using a Statistical Model with Global and Local Constraints," ICIP 2018 [pdf]



2017

• S. Canavan, W. Keyes, R. McCormick, J. Kunnumpurath, T. Hoelzel, and L. Yin, "Hand Gesture Recognition Using a Skeleton-based Representation with a Random Regression Forest," ICIP 2017 [pdf]


• S. Canavan, M. Chen, S. Chen, R. Valdez, M. Yaeger, H. Lin, and L. Yin, "Combining Gaze and Demographic Feature Descriptors for Autism Classification," ICIP 2017 [pdf]



2016

• Z, Zhang, J. Girard, Y. Wu, X. Zhang, P. Liu, U. Ciftci, S. Canavan, M. Reale, A. Horowitz, H. Yang, J. Cohn, Q. Ji, and L. Yin "Multimodal Spontaneous Emotion Corpus for Human Behavior Analysis," CVPR 2016 [pdf]



2015

• S. Canavan and L. Yin "Feature Detection and Tracking on Geometric Mesh data Using a Combined Global and Local Shape Model for Face Analysis," BTAS 2015 [pdf]


• S.Canavan, P. Liu, X. Zhang, and L. Yin "Landmark Localization on 3D/4D Range Data Using a Shape Index-Based Statistical Shape Model with Global and Local Constraints," Computer Vision and Image Understanding, 2015 [pdf]



2014

• X. Zhang, L. Yin, J. Cohn, S. Canavan, M. Reale, A. Horowitz, P. Liu, and J. Girard "BP4D-Spontaneous: A high resolution spontaneous 3D dynamic facial expression database," Image and Vision Computing 2014 [pdf]



2013

• S. Canavan, X. Zhang, and L. Yin "Fitting and Tracking 3D/4D Facial Data Using A Temporal Deformable Shape Model," ICME 2013 [pdf]


• M. Reale, P. Liu, L. Yin, and S. Canavan "Art Critic: Multisignal Vision and Speech Interaction System in a Gaming Context" IEEE Trans. on SMC_Part B: Special Issue on Modern Contrul for Computer Games, July 2013 [pdf]


• X. Zhang, L. Yin, J. Cohn, S. Canavan, M. Reale, A. Horworitz, P. Liu "A High-Resolution Spontaneous 3D Dynamic Facial Expression Database," FG 2013 [pdf]



2012

• S. Canavan, Y. Sun, X. Zhang, L. Yin "A Dynamic Curvature Based Approach for Facial Activity Analysis in 3D Space," CVPR Workshop on Socially Intelligent Surveillance and Monitoring 2012 (Oral) [pdf]



2011

• M.Reale, S.Canavan, L. Yin, K. Hu, T. Hung "A Multi-Gesture Interaction System using a 3D Iris Disk Model for Gaze Estimation and an Active Appearance Model for 3D Hand Pointing," IEEE Transactions on Multimedia, Vol. 13, No. 3, June 2011 [pdf]


• S. Canavan, X. Zhang, L. Yin, and Y. Zhang "3D Face Sketch Modeling and Assessment for Component Based Face Recognition," IJCB 2011 (Oral) [pdf]


• Y. Zhang, S. L. Ellyson, A. J. Zone, P. R. Gangam, J. R. Sullins, C. McCullough, S. Canavan, and L. Yin "Recognizing Face Sketches by a Large Number of Human Subjects: A Perception-Based Study for Facial Distinctiveness,"FG 2011 (Oral) [pdf]



2010

• K. Hu, S. Canavan, and L. Yin "Hand Pointing Estimation for Human Computer Interaction Based on Two Orthogonal-Views," ICPR 2010 [pdf]


• S. Canavan, B. Johnson, M. Reale, Y. Zhang, L. Yin, and J. Sullins "Evaluation of Multi-Frame Fusion Based Face Classification Under Shadow," ICPR 2010 [pdf]



2009

• H. Nizami, J. Adkins-Hill, Y. Zhang, J. Sullins, C. McCullough, S. Canavan, and L. Yin "A Biometric Database with Rotating Head Videos and Hand-drawn Face Sketches," BTAS 2009 [pdf]


• S. Canavan and L. Yin "Dynamic Face Appearance Modeling and Sight Direction Estimation Based On Local Region Tracking and Scale-Space Topo-Representation," ICME 2009 (Oral) [pdf]



2007

• S. Canavan, M. Kozak, Y. Zhang, J. Sullins, M. Shreve, D. Goldgof "Face Recognition by Multi-Frame Fusion of Rotating Heads in Videos," BTAS 2007 (Oral) [pdf]

arXiv

• N. Sambhu and S. Canavna, "Detecting Forged Facial Videos using Convolutional Neural Networks," arXiv, 2020 [pdf]


• S. Hinduja and S. Canavan, "Facial Action Unit Detection using 3D Facial Landmarks," arXiv, 2020 [pdf]


• D. Fabiano, M. Jainshanker, and S. Canavan, "Impact of Multiple Modalities on Emotion Recognition: Investigation into 3D Facial Landmarks, Action Units, and Physiological Data," arXiv, 2020 [pdf]


• Sk R. Jannat, D. Fabiano, and S. Canavan, "Subject Identification Across Large Expression Variations using 3D Facial Landmarks," arXiv, 2020 [pdf]

DISSERTATION

• Shaun Canavan "Facial Landmark Detection and Sketch Recognition," Binghamton University 2015 [pdf]