This paper provides theoretical and computational developments in statis...
Alignment or registration of functions is a fundamental problem in
stati...
Training of generative models especially Generative Adversarial Networks...
Recently contrastive learning has shown significant progress in learning...
Stereo-based 3D detection aims at detecting 3D object bounding boxes fro...
Structures of brain arterial networks (BANs) - that are complex arrangem...
Past approaches for statistical shape analysis of objects have focused m...
Complex analyses involving multiple, dependent random quantities often l...
Stereo matching estimates the disparity between a rectified image pair, ...
Unsupervised cross-spectral stereo matching aims at recovering disparity...
Monocular depth estimation aims at estimating a pixelwise depth map for ...
A capsule is a collection of neurons which represents different variants...