RIC-CNN: Rotation-Invariant Coordinate Convolutional Neural Network
Due to the lack of rotation invariance in traditional convolution operations, even acting a slight rotation on the input can severely degrade […]
Sorting Convolution Operation for Achieving Rotational Invariance
The topic of achieving rotational invariance in convolutional neural networks (CNNs) has gained considerable attention recently, as this invariance is crucial for […]
Robust Sound Source Localization Using Convolutional Neural Network Based on Microphone Array
In order to improve the performance of microphone array-based sound source localization (SSL), a robust SSL algorithm using convolutional neural network (CNN) […]
Dynamic image for micro-expression recognition on region-based framework
Facial micro-expressions are involuntary facial expressions with low intensity and short duration natures in which hidden emotions can be revealed. Micro-expression analysis […]
Understanding Smartwatch Battery Utilization in the Wild
Smartwatch battery limitations are one of the biggest hurdles to their acceptability in the consumer market. To our knowledge, despite promising studies […]
Age estimation from faces using deep learning
Automatic Age Estimation (AAE) has attracted attention due to the wide variety of possible applications. However, it is a challenging task because […]
A spatiotemporal convolutional neural network for automatic pain intensity estimation from facial dynamics
Devising computational models for detecting abnormalities reflective of diseases from facial structures is a novel and emerging field of research in automatic […]
From BoW to CNN
Texture is a fundamental characteristic of many types of images, and texture representation is one of the essential and challenging problems in […]
Micro-expression recognition with small sample size by transferring long-term convolutional neural network
Micro-expression is one of important clues for detecting lies. Its most outstanding characteristics include short duration and low intensity of movement. Therefore, […]
Fine-grained image classification with Gaussian mixture layer
Fine-grained image classification aims at recognizing different subordinates in one basic-level category, for example, distinguishing species of birds. Compared with basic-level classification, […]