Scale-Invariant Feature Transform (SIFT) is a popular algorithm in computer vision that detects and describes local features in images. These features are invariant to scale, rotation, and partially ...

Abstract: The advent of local continuous image function (LIIF) has garnered significant attention for arbitrary-scale super-resolution (SR) techniques. However, while the vulnerabilities of ...

Abstract: Stable local feature detection is a fundamental component of many stereo vision problems such as 3-D reconstruction, object localization, and object tracking. A robust method for extracting ...

In this paper, we have studied the perfect fluid distribution in the scale invariant theory of gravitation, when the space-time described by Einstein-Rosen metric with a time dependent gauge function.

Video-based anomaly detection in urban surveillance faces a fundamental challenge: scale-projective ambiguity. This occurs when objects of different physical sizes appear identical in camera images ...

An information-theoretic model correctly predicts that rats quickly learn an instrumental action despite a 16-min delay to reinforcement, challenging basic assumptions in reinforcement learning ...