132 citations · 160 across the 11 of their papers we have counts for
11 papers
Towards Automatic Screening of Typical and Atypical Behaviors in Children With Autism
Andrew Cook, Bappaditya Mandal, Donna Berry +1
This paper has been withdrawn by the authors due to insufficient or definition error(s) in the ethics approval protocol. Autism spectrum disorders (ASD) impact the cognitive, socia…
Deep Convolutional Generative Adversarial Network Based Food Recognition Using Partially Labeled Data
Bappaditya Mandal, N. B. Puhan, Avijit Verma
Traditional machine learning algorithms using hand-crafted feature extraction techniques (such as local binary pattern) have limited accuracy because of high variation in images of…
Cross-spectral Periocular Recognition: A Survey
S. S. Behera, Bappaditya Mandal, N. B. Puhan
Among many biometrics such as face, iris, fingerprint and others, periocular region has the advantages over other biometrics because it is non-intrusive and serves as a balance bet…
Deep Adaptive Temporal Pooling for Activity Recognition
Sibo Song, Ngai-Man Cheung, Vijay Chandrasekhar +1
Deep neural networks have recently achieved competitive accuracy for human activity recognition. However, there is room for improvement, especially in modeling long-term temporal i…
FoodNet: Recognizing Foods Using Ensemble of Deep Networks
Paritosh Pandey, Akella Deepthi, Bappaditya Mandal +1
In this work we propose a methodology for an automatic food classification system which recognizes the contents of the meal from the images of the food. We developed a multi-layere…
Distinguishing Posed and Spontaneous Smiles by Facial Dynamics
Bappaditya Mandal, David Lee, Nizar Ouarti
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 spontane…
Spontaneous vs. Posed smiles - can we tell the difference?
Bappaditya Mandal, Nizar Ouarti
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…
Improved Eigenfeature Regularization for Face Identification
Bappaditya Mandal
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…
Appearance Based Robot and Human Activity Recognition System
Bappaditya Mandal
In this work, we present an appearance based human activity recognition system. It uses background modeling to segment the foreground object and extracts useful discriminative feat…
Face Recognition: Perspectives from the Real-World
Bappaditya Mandal
In this paper, we analyze some of our real-world deployment of face recognition (FR) systems for various applications and discuss the gaps between expectations of the user and what…
Egocentric Activity Recognition with Multimodal Fisher Vector
Sibo Song, Ngai-Man Cheung, Vijay Chandrasekhar +2
With the increasing availability of wearable devices, research on egocentric activity recognition has received much attention recently. In this paper, we build a Multimodal Egocent…