6 papers
Non-parametric spatially constrained local prior for scene parsing on real-world data
Ligang Zhang
Scene parsing aims to recognize the object category of every pixel in scene images, and it plays a central role in image content understanding and computer vision applications. How…
Synchronous Prediction of Arousal and Valence Using LSTM Network for Affective Video Content Analysis
Ligang Zhang, Jiulong Zhang
The affect embedded in video data conveys high-level semantic information about the content and has direct impact on the understanding and perception of reviewers, as well as their…
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…