Shape spaces can be endowed with the structure of Riemannian manifolds; this allows one to compute, for example, Euler-Lagrange equations and geodesic distance for such spaces. Un...
In this paper, we show how to estimate, accurately and efficiently, the 3D motion of a rigid or non-rigid object, and time-varying lighting in a dynamic scene. This is achieved i...
This paper introduces a novel approach to the problem of image inpainting through the use of nonlocal-means. In traditional inpainting techniques, only local information around th...
We propose a novel method to reduce both blocking and ringing artifacts in compressed images and videos. Based on the directional characteristics of ringing artifacts along edges,...
Dung Trung Vo, Truong Q. Nguyen, Sehoon Yea, Antho...
One of the important steps in gradient-based edge detection is thresholding, e.g., hysteresis thresholding in the Canny detector. Traditional approaches use gradient magnitude as ...
A new localized and computationally efficient approach is presented for shift/space-variant image restoration. Unlike conventional approaches, it models shift-variant blurring in...
We propose new discrete-to-continuous interpolation models for hexagonally sampled data, that generalize two families of splines developed in the literature for the hexagonal latt...
In this paper, we present a new solution to the problem of matching tracking sequences across different cameras. Unlike snapshot-based appearance matching which matches objects by...
Music transcription refers to extraction of a human readable and interpretable description from a recording of a music performance. Automatic music transcription remains, nowadays...
Marco Paleari, Benoit Huet, Antony Schutz, Dirk T....
We present the results of a systematic study of the contextual gain hypothesis for image classification. This hypothesis relates the traditional strategy of direct visual classi...