This paper proposes a new method to infer keypoints from arbitrary objec...
Wide-scale use of visual surveillance in public spaces puts individual
p...
We introduce Flatlandia, a novel problem for visual localization of an i...
Standard Unsupervised Domain Adaptation (UDA) methods assume the availab...
Object detectors often experience a drop in performance when new
environ...
Object detectors often experience a drop in performance when new
environ...
NeRF aims to learn a continuous neural scene representation by using a f...
Knowledge Graphs (KGs) have proven to be a reliable way of structuring d...
Recent years have seen an increased interest in establishing association...
This work presents a systematic review of recent efforts (since 2010) ai...
The estimation of the camera poses associated with a set of images commo...
Puzzle solving is a combinatorial challenge due to the difficulty of mat...
This paper presents a novel end-to-end method for the problem of
skeleto...
Zero-shot learning methods rely on fixed visual and semantic embeddings,...
We study the problem of learning association between face and voice, whi...
We tackle data-driven 3D point cloud registration. Given point
correspon...
This paper presents a novel 3D human pose estimation approach using a si...
Specular highlights are commonplace in images, however, methods for dete...
We address the issue of creating consistent mesh texture maps captured f...
Recent epidemiological data report that worldwide more than 53 million p...
In this work, we address the problem of estimating the so-called "Social...
Given an unknown audio source, the estimation of time differences-of-arr...
In this paper we focus on the problem of learning an optimal policy for
...
This paper tackles the problem of human action recognition, defined as
c...
Recent years have seen a surge in finding association between faces and
...
The design of an automatic visual inspection system is usually performed...
Illumination is important for well-being, productivity and safety across...
In this paper, we tackle the task of automatically analyzing 3D volumetr...
Conventional approaches to object instance re-identification rely on mat...
We present a new convex method to estimate 3D pose from mixed combinatio...
Lighting design in indoor environments is of primary importance for at l...
In this work, we explore the correlation between people trajectories and...
Lighting design and modelling
luminaires in a virtual or real scene) or...
Recent approaches on visual scene understanding attempt to build a scene...
Recent approaches on trajectory forecasting use tracklets to predict the...
This paper presents a method to estimate the 3D object position and occu...
Non-Rigid structure from motion (NRSfM), is a long standing and central
...
Low-rank decomposition (LRD) is a state-of-the-art method for visual dat...
In this paper, we address the problem of dense 3D reconstruction from
mu...
We present a novel method to infer, in closed-form, a general 3D spatial...