6 accepted papers
Visual Place Recognition (VPR) identifies an image’s location by matching a query image of an unknown location against geotagged reference images. This has been a problem of interest for the computer vision community for many years. Consequently, many successful methods with impressive performance h…
Autonomous and semi-autonomous navigation systems use multiple sensors for perception. Amongst all the sensors, the most prominently used are camera, lidar and radar. In addition to being more expensive than radar, cameras and lidar fail to operate smoothly in adverse weather conditions. Radar, howe…
Intrusion detection is a form of anomalous activity detection in communication network traffic. Continual learning (CL) approaches to the intrusion detection task accumulate old knowledge while adapting to the latest threat knowledge. Previous works have shown the effectiveness of memory replay-base…
In this work, we address the problem of full-reference video quality prediction. To address this problem, we rely on deep learning based spatio-temporal representations of natural videos. Specifically, we use feature representations derived from a per-voxel deep learning regression model. This model…
In this paper we propose the Localized Quality Aware Image Denoising (LQAID) technique for image denoising using deep convolutional neural networks (CNNs). LQAID relies on local quality estimates over global cues like noise standard deviation since the perceptual quality of a noisy image is typicall…
We propose a full reference stereo video quality assessment algorithm for assessing the perceptual quality of natural stereo videos. We exploit the separable representation of motion and binocular disparity in the visual cortex and develop a four stage algorithm to measure the quality of a stereosco…