Neuromorphic vision sensors, or event cameras, differ from conventional
...
The lack of ethnic diversity in data has been a limiting factor of face
...
Robust authentication for low-power consumer devices such as doorbell ca...
In this research work, we proposed a novel ChildGAN, a pair of GAN netwo...
Optical sensors have played a pivotal role in acquiring real world data ...
Automatic Speech Recognition (ASR) systems often struggle with transcrib...
Driver monitoring systems (DMS) are a key component of vehicular safety ...
Heart rate is one of the most vital health metrics which can be utilized...
In this research work, we have proposed a thermal tiny-YOLO multi-class
...
In this paper we propose a method for end-to-end speech driven video edi...
Neuromorphic vision or event vision is an advanced vision technology, wh...
Human activity recognition (HAR) using drone-mounted cameras has attract...
Drone-camera based human activity recognition (HAR) has received signifi...
Event cameras also known as neuromorphic sensors are relatively a new
te...
The process of obtaining high-resolution images from single or multiple
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Advancements in semiconductor technology have reduced dimensions and cos...
Despite recent advancements in deep learning technologies, Child Speech
...
Speech synthesis has come a long way as current text-to-speech (TTS) mod...
This study is focused on evaluating the real-time performance of thermal...
Object detection in thermal infrared spectrum provides more reliable dat...
The recent availability of low-power neural accelerator hardware, combin...
Methods for generating synthetic data have become of increasing importan...
StyleGAN is a state-of-art generative adversarial network architecture t...
In recent years, large "in the wild" face datasets have been released in...
Technology-assisted platforms provide reliable solutions in almost every...
As a biometric palmprints have been largely under-utilized, but they off...
A data augmentation methodology is presented and applied to generate a l...
Accurate and efficient eye gaze estimation is important for emerging con...
Conditional generators learn the data distribution for each class in a
m...
Being able to generate constrained samples is one of the most appealing
...
One of the most interesting challenges in Artificial Intelligence is to ...
With the increasing imaging and processing capabilities of today's mobil...
Post capture refocusing effect in smartphone cameras is achievable by us...
Multi-Camera arrays are increasingly employed in both consumer and indus...
In this paper a review is presented of the research on eye gaze estimati...
A recurring problem faced when training neural networks is that there is...