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Found 11 papers, 0 papers with code
Towards Automatic Screening of Typical and Atypical Behaviors in Children With Autism
This paper has been withdrawn by the authors due to insufficient or definition error(s) in the ethics approval protocol.
Deep Convolutional Generative Adversarial Network Based Food Recognition Using Partially Labeled Data
Our work aims at developing an efficient deep CNN learning-based method for food recognition alleviating these limitations by using partially labeled training data on generative adversarial networks (GANs).
Cross-spectral Periocular Recognition: A Survey
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 between iris or eye region (very stringent, small area) and the whole face region (very relaxed large area).
Deep Adaptive Temporal Pooling for Activity Recognition
Specifically, using frame-level features, DATP regresses importance of different temporal segments and generates weights for them.
FoodNet: Recognizing Foods Using Ensemble of Deep Networks
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.
Distinguishing Posed and Spontaneous Smiles by Facial Dynamics
In this work, we propose a cluster of approaches to classify posed and spontaneous smiles using deep convolutional neural network (CNN) face features, local phase quantization (LPQ), dense optical flow and histogram of gradient (HOG).
Spontaneous vs. Posed smiles - can we tell the difference?
Smile is an irrefutable expression that shows the physical state of the mind in both true and deceptive ways.
Improved Eigenfeature Regularization for Face Identification
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.
Face Recognition: Perspectives from the Real-World
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 the system can deliver.
Appearance Based Robot and Human Activity Recognition System
In this work, we present an appearance based human activity recognition system.
Egocentric Activity Recognition with Multimodal Fisher Vector
With the increasing availability of wearable devices, research on egocentric activity recognition has received much attention recently.
