The resurgence of deep neural networks has created an alternative pathwa...
With the availability of commercial Light Field (LF) cameras, LF imaging...
This paper presents a texture aware end-to-end trainable iris recognitio...
Removing undesired reflections from a photo taken in front of glass is o...
Earthquake signals are non-stationary in nature and thus in real-time, i...
The explosive rise of the use of Computer tomography (CT) imaging in med...
Hazy images obscure content visibility and hinder several subsequent com...
Low level image restoration is an integral component of modern artificia...
In this paper, we present a texture aware lightweight deep learning fram...
Contemporary deep learning based inpainting algorithms are mainly based ...
In this paper, we propose to improve the inference speed and visual qual...
In recent years, deep convolutional neural network (CNN) has achieved
un...
In this paper we present several architectural and optimization recipes ...
With contemporary advancements of graphics engines, recent trend in deep...
Deep learning based object detectors require thousands of diversified
bo...
Contemporary deep learning based medical image segmentation algorithms
r...
Contemporary benchmark methods for image inpainting are based on deep
ge...
Automated segmentation of retinal blood vessels in label-free fundus ima...