All Outputs (7)

Towards Automatic Screening of Typical and Atypical Behaviors in Children With Autism (2019)
Presentation / Conference
Cook, A., Mandal, B., Berry, D., & Johnson, M. (2019, October). Towards Automatic Screening of Typical and Atypical Behaviors in Children With Autism. Paper presented at 2019 IEEE International Conference on Data Science and Advanced Analytics (DSAA), Washington, DC, USA

Autism spectrum disorders (ASD) impact the cognitive, social, communicative and behavioral abilities of an individual. The development of new clinical decision support systems is of importance in reducing the delay between presentation of symptoms an... Read More about Towards Automatic Screening of Typical and Atypical Behaviors in Children With Autism.

Improved Lifelog Ego-centric Video Summarization Using Ensemble of Deep Learned Object Features (2019)
Presentation / Conference
Mandal, B., & Mainwaring, P. (2019, September). Improved Lifelog Ego-centric Video Summarization Using Ensemble of Deep Learned Object Features. Presented at 30th British Machine Vision Conference, Cardiff

The ImageCLEF 2017 lifelog summarization challenge [10, 12] was established to develop a benchmark for summarizing egocentric lifelogging videos based on our daily activities, such as ‘commute to work’ or ‘cooking at home’. In this paper, we propose... Read More about Improved Lifelog Ego-centric Video Summarization Using Ensemble of Deep Learned Object Features.

Enhanced Deep Video Summarization Network (2019)
Presentation / Conference
Gonuguntla, N., Mandal, B., & Puhan, N. (2019, September). Enhanced Deep Video Summarization Network. Paper presented at 30th British Machine Vision Conference, Cardiff

Video summarization is understanding video which aims to get an abstract view of the original video sequence by the concatenation of keyframes representing the highlights of the video. In this work, we propose an enhanced deep summarization network (... Read More about Enhanced Deep Video Summarization Network.

Improved Eigenfeature Regularization for Face Identification (2015)
Presentation / Conference
Mandal, B. (2015, September). Improved Eigenfeature Regularization for Face Identification. Paper presented at ICIP 2015 - IEEE International Conference on Image Processing

In this work, we propose to divide each class (a person) into subclasses using spatial partition trees which helps in better capturing the intra-personal variances arising from the appearances of the same individual. We perform a comprehensive analys... Read More about Improved Eigenfeature Regularization for Face Identification.

Enhancing Social Interaction with Seamless Face Recognition on Google Glass: Leveraging opportunistic multi-tasking on smart phones (2015)
Presentation / Conference
Chia, S., Mandal, B., Xu, Q., Li, L., & Lim, J. (2015, August). Enhancing Social Interaction with Seamless Face Recognition on Google Glass: Leveraging opportunistic multi-tasking on smart phones. Poster presented at 17th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct, Copenhagen, Denmark

Wearable devices offer immense opportunities in both consumer and enterprise domains due to the hands-free interaction modality and the ability to provide information in real-time. However, due to hardware limitations, it presents a notable challenge... Read More about Enhancing Social Interaction with Seamless Face Recognition on Google Glass: Leveraging opportunistic multi-tasking on smart phones.

Evaluating Human Performance in Dynamic Perspective Invariant Face Recognition (2015)
Presentation / Conference
Lim, R., Ragab Sayed, M., Mandal, B., Teck Ma, K., Li, L., & Hwee Lim, J. (2015, July). Evaluating Human Performance in Dynamic Perspective Invariant Face Recognition. Paper presented at 11th Asia-Pacific Conference on Vision (APCV), Singapore

The aim of this study is to investigate and derive plausible consistent eye gaze scan path, and set of facial features learnt from unfamiliar faces in unconstrained dynamic motion (rigid and non-rigid motion) for subsequent recognition tasks using ps... Read More about Evaluating Human Performance in Dynamic Perspective Invariant Face Recognition.

Spontaneous vs. Posed smiles - can we tell the difference?
Presentation / Conference
Mandal. Spontaneous vs. Posed smiles - can we tell the difference?. Presented at International Conference on Computer Vision and Image Processing

Smile is an irrefutable expression that shows the physical state of the mind in both true and deceptive ways. Generally, it shows happy state of the mind, however, ‘smiles’ can be deceptive, for example people can give a smile when they feel happy an... Read More about Spontaneous vs. Posed smiles - can we tell the difference?.