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Displaying 1-13 out of 13 total
Self-Stimulatory Behaviours in the Wild for Autism Diagnosis
Found in: 2013 IEEE International Conference on Computer Vision Workshops (ICCVW)
By Shyam Sundar Rajagopalan,Abhinav Dhall,Roland Goecke
Issue Date:December 2013
pp. 755-761
Autism Spectrum Disorders (ASD), often referred to as autism, are neurological disorders characterised by deficits in cognitive skills, social and communicative behaviours. A common way of diagnosing ASD is by studying behavioural cues expressed by the chi...
 
Monocular Image 3D Human Pose Estimation under Self-Occlusion
Found in: 2013 IEEE International Conference on Computer Vision (ICCV)
By Ibrahim Radwan,Abhinav Dhall,Roland Goecke
Issue Date:December 2013
pp. 1888-1895
In this paper, an automatic approach for 3D pose reconstruction from a single image is proposed. The presence of human body articulation, hallucinated parts and cluttered background leads to ambiguity during the pose inference, which makes the problem non-...
 
Modeling Stress Using Thermal Facial Patterns: A Spatio-temporal Approach
Found in: 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction (ACII)
By Nandita Sharma,Abhinav Dhall,Tom Gedeon,Roland Goecke
Issue Date:September 2013
pp. 387-392
Stress is a serious concern facing our world today, motivating the development of better objective understanding using non-intrusive means for stress recognition. The aim for the work was to use thermal imaging of facial regions to detect stress automatica...
 
Relative Body Parts Movement for Automatic Depression Analysis
Found in: 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction (ACII)
By Jyoti Joshi,Abhinav Dhall,Roland Goecke,Jeffrey F. Cohn
Issue Date:September 2013
pp. 492-497
In this paper, a human body part motion analysis based approach is proposed for depression analysis. Depression is a serious psychological disorder. The absence of an (automated) objective diagnostic aid for depression leads to a range of subjective biases...
 
Context Based Facial Expression Analysis in the Wild
Found in: 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction (ACII)
By Abhinav Dhall
Issue Date:September 2013
pp. 636-641
With the advances in the computer vision in the past few years, analysis of human facial expressions has gained attention. Facial expression analysis is now an active field of research for over two decades now. However, still there are a lot of questions u...
 
Collecting Large, Richly Annotated Facial-Expression Databases from Movies
Found in: IEEE MultiMedia
By Abhinav Dhall,Roland Goecke,Simon Lucey,Tom Gedeon
Issue Date:July 2012
pp. 34-41
Two large facial-expression databases depicting challenging real-world conditions were constructed using a semi-automatic approach via a recommender system based on subtitles.
 
Regression Based Pose Estimation with Automatic Occlusion Detection and Rectification
Found in: 2012 IEEE International Conference on Multimedia and Expo (ICME)
By Ibrahim Radwan,Abhinav Dhall,Jyoti Joshi,Roland Goecke
Issue Date:July 2012
pp. 121-127
Human pose estimation is a classic problem in computer vision. Statistical models based on part-based modelling and the pictorial structure framework have been widely used recently for articulated human pose estimation. However, the performance of these mo...
 
A discriminative parts based model approach for fiducial points free and shape constrained head pose normalisation in the wild
Found in: 2014 IEEE Winter Conference on Applications of Computer Vision (WACV)
By Abhinav Dhall,Karan Sikka,Gwen Littlewort,Roland Goecke,Marian Bartlett
Issue Date:March 2014
pp. 1028-1035
This paper proposes a method for parts-based view-invariant head pose normalisation, which works well even in difficult real-world conditions. Handling pose is a classical problem in facial analysis. Recently, parts-based models have shown promising perfor...
   
A discriminative parts based model approach for fiducial points free and shape constrained head pose normalisation in the wild
Found in: 2014 IEEE Winter Conference on Applications of Computer Vision (WACV)
By Abhinav Dhall,Karan Sikka,Gwen Littlewort,Roland Goecke,Marian Bartlett
Issue Date:March 2014
pp. 1-2
Continuous Confidence Map Based Normalisation: While continuous head pose normalisation is not the goal of this paper, we demonstrate as a proof of concept that it is possible to extend the current method for continuous head pose normalisation. For dealing...
   
Weakly supervised pain localization using multiple instance learning
Found in: 2013 10th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2013)
By Karan Sikka,Abhinav Dhall,Marian Bartlett
Issue Date:April 2013
pp. 1-8
Automatic pain recognition from videos is a vital clinical application and, owing to its spontaneous nature, poses interesting challenges to automatic facial expression recognition (AFER) research. Previous pain vs no-pain systems have highlighted two majo...
   
Emotion recognition in the wild challenge (EmotiW) challenge and workshop summary
Found in: Proceedings of the 15th ACM on International conference on multimodal interaction (ICMI '13)
By Abhinav Dhall, Michael Wagner, Jyoti Joshi, Roland Goecke, Tom Gedeon
Issue Date:December 2013
pp. 371-372
The Emotion Recognition In The Wild Challenge and Workshop (EmotiW) 2013 Grand Challenge consists of an audio-video based emotion classification challenge, which mimics real-world conditions. In total, 27 teams participated in the challenge. The database i...
     
Emotion recognition in the wild challenge 2013
Found in: Proceedings of the 15th ACM on International conference on multimodal interaction (ICMI '13)
By Abhinav Dhall, Jyoti Joshi, Tom Gedeon, Michael Wagner, Roland Goecke
Issue Date:December 2013
pp. 509-516
Emotion recognition is a very active field of research. The Emotion Recognition In The Wild Challenge and Workshop (EmotiW) 2013 Grand Challenge consists of an audio-video based emotion classification challenges, which mimics real-world conditions. Traditi...
     
Diagnosis of depression by behavioural signals: a multimodal approach
Found in: Proceedings of the 3rd ACM international workshop on Audio/visual emotion challenge (AVEC '13)
By Abhinav Dhall, Julien Epps, Jyoti Joshi, Nicholas Cummins, Roland Goecke, Vidhyasaharan Sethu
Issue Date:October 2013
pp. 11-20
Quantifying behavioural changes in depression using affective computing techniques is the first step in developing an objective diagnostic aid, with clinical utility, for clinical depression. As part of the AVEC 2013 Challenge, we present a multimodal appr...
     
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