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Affective Computing for Social Companion Robots Using Fine-grained Speech Emotion Recognition
The increasing demand and diverse applications for social companion robots necessitate the development ...
Improved Spatio-temporal Salient Feature Detection for Action Recognition
Spatio-temporal salient features can localize the local motion events and are used to represent video sequences for many computer vision tasks such as action recognition.
Evaluation of Local Spatio-temporal Salient Feature Detectors for Human Action Recognition
Local spatio-temporal salient features are used for a sparse and compact representation of video contents in many computer vision tasks such as human action recognition.
Other Publications
- C. Muema, S. Lawrence, T. Anjum, A. Shabani, ”Social Embodiment of Companion Robots in Smart Spaces: IoRT for Independent Living”, Book Chapter in Robotics, Computer Vision and Intelligent Systems, Springer Nature, Nov. 2022.
- T. Anjum, S. Lawrence, A. Shabani, ” Augmented Reality and Affective Computing on the Edge Makes Social Robots Better Companions for Older Adults “, International Conference on Robotics, Computer Vision, and Intelligent Systems, Valletta, Malta, Oct. 2021.
- T. Anjum, S. Lawrence, A. Shabani, ” Efficient Data Augmentation within Deep Learning Framework to Improve Cross-Dataset Facial Emotion Recognition”, 25th International Conference on Image Processing, Computer Vision, Pattern Recognition, Las Vegas, USA, July 2021.
- S. Lawrence, T. Anjum, A. Shabani, ”Improved Deep Neural Network with Age Augmentation for Facial Emotion Recognition in Social Companion Robotics”, Journal of Comp. Vision and Imaging Sys., Dec. 2020.
- C. Luppe, A. Shabani, “Towards Reliable Intelligent Occupancy Detection for Smart Building Applications”, IEEE Canadian Conference on Electrical and Computer Eng. (CCECE 2017), Windsor, Canada.
- A. Forest, A. Shabani, “A Novel Approach in Smart Ventilation Using Wirelessly Controllable Dampers”, IEEE Canadian Conference on Electrical and Computer Eng. (CCECE 2017), Windsor, Canada.
- A.H. Shabani, J.S. Zelek, D.A. Clausi, “Multiple scale-specific representations for improved action classification”, Journal of Pattern Recognition Letters, Jan. 2013.
- A.H. Shabani, D.A. Clausi, J.S. Zelek, “Evaluation of local spatio-temporal salient feature detectors for human action recognition”, IEEE Conf. On Computer and Robot Vision, Toronto, May 2012.
- A.H. Shabani, P. Matsakis, “Efficient computation of objects’ spatial relations in digital images”, IEEE Canadian Conf. On Electrical and Computer Engineering, Montreal, April 2012.
- A.H. Shabani, J.S. Zelek, D.A. Clausi, “Robust local video event detection for action recognition”, Neural Information Processing Sys. (NIPS)–MLAT Workshop, Whistler, Canada, Dec. 2010.
- A.H. Shabani, M.H. Ghaeminia, and S.B. Shokouhi, “Human tracking using spatialized multi-level histogramming and mean shift”, IEEE Canadian Conf. on Computer and Robot Vision, Ottawa, Canada, 2010.
- M.H. Ghaeminia, A.H. Shabani, and S.B. Shokouhi, “Adaptive motion model for human tracking using Particle Filter”, International Conference on Pattern Recognition, Istanbul, Turkey, Aug. 2010.
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