Dr Bappaditya Mandal's Outputs (8)

FoodNet: Recognizing Foods Using Ensemble of Deep Networks (2017)
Journal Article
Pandey, P., Deepthi, A., Mandal, B., & Puhan, N. B. (2017). FoodNet: Recognizing Foods Using Ensemble of Deep Networks. IEEE Signal Processing Letters, 24(12), 1758-1762. https://doi.org/10.1109/lsp.2017.2758862

I2R VC @ ImageClef2017: Ensemble of Deep Learnt Features for Lifelog Video Summarization (2017)
Conference Proceeding
Molino, A., Mandal, B., Jie, L., Lim, J., Subbaraju, V., & Chandrasekhar, V. (2017). I2R VC @ ImageClef2017: Ensemble of Deep Learnt Features for Lifelog Video Summarization.

In this paper we describe our approach for the ImageCLEF-lifelog summarization task. A total of ten runs were submitted, which used only visual features, only metadata information, or both. In the first step, a set of relevant frames are drawn from t... Read More about I2R VC @ ImageClef2017: Ensemble of Deep Learnt Features for Lifelog Video Summarization.

An empirical approach for automatic face clustering on personal lifelogging images (2017)
Conference Proceeding
Subbaraju, V., Xu, Q., Mandal, B., Li, L., & Lim, J. (2017). An empirical approach for automatic face clustering on personal lifelogging images. . https://doi.org/10.1109/siprocess.2017.8124519

Life-logging applications generate a vast amount of personalized data that provides vital insights into the user's daily life. One such key insight is the people whom the user has come across/interacted with during regular life. This can be obtained... Read More about An empirical approach for automatic face clustering on personal lifelogging images.

Storages Are Not Forever (2017)
Journal Article
Cambria, E., Chattopadhyay, A., Linn, E., Mandal, B., & White, B. (2017). Storages Are Not Forever. Cognitive Computation, 9(5), 646-658. https://doi.org/10.1007/s12559-017-9482-4

Towards Detection of Bus Driver Fatigue Based on Robust Visual Analysis of Eye State (2017)
Journal Article
Mandal, B., Li, L., Wang, G. S., & Lin, J. (2017). Towards Detection of Bus Driver Fatigue Based on Robust Visual Analysis of Eye State. IEEE Transactions on Intelligent Transportation Systems, 18(3), 545-557. https://doi.org/10.1109/tits.2016.2582900

Person Reidentification Using Multiple Egocentric Views (2017)
Journal Article
Chakraborty, A., Mandal, B., & Yuan, J. (2017). Person Reidentification Using Multiple Egocentric Views. IEEE Transactions on Circuits and Systems for Video Technology, 27(3), 484-498. https://doi.org/10.1109/tcsvt.2016.2615445

Analysis of Human Attentions for Face Recognition on Natural Videos and Comparison with CV Algorithm on Performance (2017)
Conference Proceeding
Ragab Sayed, M., Yuting Lim, R., Mandal, B., Li, L., Hwee Lim, J., & Sim, T. (2017). Analysis of Human Attentions for Face Recognition on Natural Videos and Comparison with CV Algorithm on Performance. In No. 7: Science of Intelligence: Computational Principles of Natural and Artificial Intelligence

Researchers have conducted many studies on human attentions and their eye gaze patterns for face recognition (FR), hoping to inspire new ideas to develop computer vision (CV) algorithms which perform like or even better than human. Yet, while these s... Read More about Analysis of Human Attentions for Face Recognition on Natural Videos and Comparison with CV Algorithm on Performance.

Distinguishing Posed and Spontaneous Smiles by Facial Dynamics (2017)
Conference Proceeding
Mandal, B., Lee, D., & Ouarti, N. (2017). Distinguishing Posed and Spontaneous Smiles by Facial Dynamics. In Computer Vision – ACCV 2016 Workshops (552-566). https://doi.org/10.1007/978-3-319-54407-6_37

Smile is one of the key elements in identifying emotions and present state of mind of an individual. In this work, we propose a cluster of approaches to classify posed and spontaneous smiles using deep convolutional neural network (CNN) face features... Read More about Distinguishing Posed and Spontaneous Smiles by Facial Dynamics.