Scale Invariant Feature Transform on the Sphere: Theory and Applications

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Scale Invariant Feature Transform on the Sphere: Theory and Applications

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Domain adaptation via alignment of operation profile for Remaining Useful Lifetime prediction

Incorporating Projective Geometry into Deep Learning

Learned Compressive Representations for Single-Photon 3D Imaging

Cross-resolution Face Recognition via Identity-Preserving Network and Knowledge Distillation

SoDaCam: Software-defined Cameras via Single-Photon Imaging

Image-based geometric digital twinning for stone masonry elements

A 16-Channel 60µW Neural Synchrony Processor for Multi-Mode Phase-Locked Neurostimulation

Beyond Cameras: Real-Time High-Resolution 3D and Panoramic MultiView Vision Systems with Their Applications

Agito ergo sum: Correlates of spatio-temporal motion characteristics during fMRI

Achieving high-resolution thermal imagery in low-contrast lake surface waters by aerial remote sensing and image registration

Beyond Cartesian Representations for Local Descriptors

On The Move: Localization With Kinetic Euclidean Distance Matrices

Evaluating and Interpreting Deep Convolutional Neural Networks via Non-negative Matrix Factorization

Automated 3D Optical Coherence Tomography to Elucidate Biofilm Morphogenesis Over Large Spatial Scales

Hardware Implementation of a Smart Camera with Keypoint Detection and Description

Learning Robust Features and Latent Representations for Single View 3D Pose Estimation of Humans and Objects

Method, system, and device for learned invariant feature transform for computer images

On Matching Pursuit and Coordinate Descent

Bulged Eardrum Detection From 3D Data

Blob properties in full-turbulence simulations of the TCV scrape-off layer