4 citations · 6 across the 5 of their papers we have counts for
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MatSpectNet: Material Segmentation Network with Domain-Aware and Physically-Constrained Hyperspectral Reconstruction
Yuwen Heng, Yihong Wu, Jiawen Chen +2
Achieving accurate material segmentation for 3-channel RGB images is challenging due to the considerable variation in a material's appearance. Hyperspectral images, which are sets…
Rotation-Scale Equivariant Steerable Filters
Yilong Yang, Srinandan Dasmahapatra, Sasan Mahmoodi
Incorporating either rotation equivariance or scale equivariance into CNNs has proved to be effective in improving models' generalization performance. However, jointly integrating…
Scale-Equivariant UNet for Histopathology Image Segmentation
Yilong Yang, Srinandan Dasmahapatra, Sasan Mahmoodi
Digital histopathology slides are scanned and viewed under different magnifications and stored as images at different resolutions. Convolutional Neural Networks (CNNs) trained on s…
Optimising 2D Pose Representation: Improve Accuracy, Stability and Generalisability Within Unsupervised 2D-3D Human Pose Estimation
Peter Hardy, Srinandan Dasmahapatra, Hansung Kim
This paper addresses the problem of 2D pose representation during unsupervised 2D to 3D pose lifting to improve the accuracy, stability and generalisability of 3D human pose estima…