Automating the checkout process is important in smart retail, where user...
This paper proposes a feedback mechanism to 'break bad habits' using the...
Automatic group emotion recognition plays an important role in understan...
Most deepfake detection methods focus on detecting spatial and/or
spatio...
We consider a scenario where we have access to the target domain, but ca...
This work investigates dataset vectorization for two dataset-level tasks...
Fine-tuning is widely applied in image classification tasks as a transfe...
Deep neural networks such as convolutional neural networks (CNNs) and
tr...
This article aims to use graphic engines to simulate a large number of
t...
Due to the expensive data collection process, micro-expression datasets ...
Discrete gene regulatory networks (GRNs) play a vital role in the study ...
Physical symptoms caused by high stress commonly happen in our daily liv...
Deep learning (DL) models are widely used to provide a more convenient a...
The current standard for a variety of computer vision tasks using smalle...
We study how to evaluate the quantitative information content of a regio...
Cross-entropy loss with softmax output is a standard choice to train neu...
Pupillary responses (PR) change differently for different types of stimu...
Interactive facial image manipulation attempts to edit single and multip...
There is a need to protect the personal identity information in public E...
Raven's Progressive Matrices have been widely used for measuring abstrac...
Smiles play a vital role in the understanding of social interactions wit...
Sentence compression is a Natural Language Processing (NLP) task aimed a...
Three-dimensional face reconstruction is one of the popular applications...
Ever since the advent of AlexNet, designing novel deep neural architectu...
People can manipulate emotion expressions when interacting with others. ...
Emotion recognition based on physiological signals is a hot topic and ha...
We simulate data using a graphic engine to augment real-world datasets, ...
Eye movement patterns reflect human latent internal cognitive activities...
This paper details the sixth Emotion Recognition in the Wild (EmotiW)
ch...
Crowd predictions have demonstrated powerful performance in predicting f...
Wagner's modularity inducing problem domain is a key contribution to the...