6 papers · 1 filter
Context-based Deep Learning Architecture with Optimal Integration Layer for Image Parsing
Ranju Mandal, Basim Azam, Brijesh Verma
Deep learning models have been efficient lately on image parsing tasks. However, deep learning models are not fully capable of exploiting visual and contextual information simultan…
Deep Learning Model with GA based Feature Selection and Context Integration
Ranju Mandal, Basim Azam, Brijesh Verma +1
Deep learning models have been very successful in computer vision and image processing applications. Since its inception, Many top-performing methods for image segmentation are bas…
Spatially Constrained Location Prior for Scene Parsing
Ligang Zhang, Brijesh Verma, David Stockwell +1
Semantic context is an important and useful cue for scene parsing in complicated natural images with a substantial amount of variations in objects and the environment. This paper p…
Facial Expression Analysis under Partial Occlusion: A Survey
Ligang Zhang, Brijesh Verma, Dian Tjondronegoro +1
Automatic machine-based Facial Expression Analysis (FEA) has made substantial progress in the past few decades driven by its importance for applications in psychology, security, he…
Superpixel based Class-Semantic Texton Occurrences for Natural Roadside Vegetation Segmentation
Ligang Zhang, Brijesh Verma
Vegetation segmentation from roadside data is a field that has received relatively little attention in present studies, but can be of great potentials in a wide range of real-world…
Density Weighted Connectivity of Grass Pixels in Image Frames for Biomass Estimation
Ligang Zhang, Brijesh Verma, David Stockwell +1
Accurate estimation of the biomass of roadside grasses plays a significant role in applications such as fire-prone region identification. Current solutions heavily depend on field…