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VILSS: Upper body pose estimation for sign language and gesture recognition
James Charles, University of Leeds In this talk I present methods for estimating the upper body pose of people performing gestures and sign language in long video sequences. Our methods are based on random forests classifiers and regressors which have proved successful for inferring pose from depth data (Kinect). Here, I will show how we develop […]
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VILSS: Intelligent signal processing and learning in imaging
Panagiotis Tsakalides, University of Crete Modern technologies, including the proliferation of high performance sensors and network connectivity, have revolutionized imaging systems used in applications ranging from medical and astronomical imaging to […]
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VILSS: Are Cars Just 3D Boxes? Jointly Estimating the 3D Shape of Multiple Objects
Zeeshan Zia, Imperial College London Current systems for scene understanding typically represent objects as 2D or 3D bounding boxes. While these representations have proven robust in a variety of applications, they […]
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VILSS: Wirewax – engineering vision algorithms for the wild
John Greenall, Wirewax, London Wirewax is a platform for turning your videos into rich interactive experiences. Backing the website is a powerful suite of computer vision algorithms that run on a […]
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VILSS: 2D Pairwise Geometry for Robust and Scalable Place Recognition
Edward Jones, Dyson Research Lab, Imperial College London In this talk, I will present an overview of my PhD research on extending recent trends in visual place recognition to offer robustness […]
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VILSS: Transductive Transfer Learning for Computer Vision
Teo de Campos, University of Surrey One of the ultimate goals of the open ended learning systems is to take advantage of previous experience in dealing with future problems. We focus […]
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VILSS: Ortho-diffusion decompositions of graph-based representations of images
Adrian Bors, University of York In this presentation I introduce the ortho-diffusion operator. I consider graph-based data representations where full data interconnectivity is modelled using probability transition matrices. Multi-scale dimensionality reduction […]
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VILSS: Ultrasound imaging and inverse problems
Denis Kouame, Universite Paul Sabatier Toulouse Among all the medical imaging modalities, ultrasound imaging is the most widely used, due to its safety, cost-effectiveness, flexibility and real-time nature. However, compared to […]
8 events found.