Author(s): Roudbari NS; Punekar SR; Patterson Z; Eicker U; Poullis C;

Forecasting floods encompasses significant complexity due to the nonlinear nature of hydrological systems, which involve intricate interactions among precipitation, landscapes, river systems, and hydrological networks. Recent efforts in hydrology have aimed at predicting water flow, floods, and quality, yet most methodologies overlook the influence of adj ...

Article GUID: 39127785

Author(s): Karimi A; Poullis C;

This paper addresses few-shot semantic segmentation and proposes a novel transductive end-to-end method that overcomes three key problems affecting performance. First, we present a novel ensemble of visual features learned from pretrained classification and semantic segmentation networks with the same architecture. Our approach leverages the varying discr ...

Article GUID: 38369571

Author(s): Chen Q; Poullis C;

No abstract

Article GUID: 36517657

Author(s): Chen Q; Poullis C;

Large displacement optical flow is an integral part of many computer vision tasks. Variational optical flow techniques based on a coarse-to-fine scheme interpolate sparse matches and locally optimize an energy model conditioned on colour, gradient and smoothness, making them sensitive to noise in the sparse matches, deformations, and arbitrarily large dis ...

Article GUID: 36385172