We consider the visual disambiguation task of determining whether a pair...
Resting-state functional MRI (rs-fMRI) is increasingly employed in multi...
Resting-state functional magnetic resonance imaging (rs-fMRI) offers a
n...
Resting-state functional magnetic resonance imaging (rs-fMRI) can reflec...
In this work, we aim to reconstruct a time-varying 3D model, capable of
...
We present a new test-time optimization method for estimating dense and
...
Finding correspondences between images is a fundamental problem in compu...
Although numerous clustering algorithms have been developed, many existi...
Multi-view clustering (MVC) based on non-negative matrix factorization (...
We address the problem of synthesizing novel views from a monocular vide...
We present a method for learning to generate unbounded flythrough videos...
We are witnessing an explosion of neural implicit representations in com...
We introduce 3D Moments, a new computational photography effect. As inpu...
This paper addresses the challenge of reconstructing 3D indoor scenes fr...
We present a new neural representation, called Neural Ray (NeuRay), for ...
This paper addresses the challenge of reconstructing an animatable human...
We present PhySG, an end-to-end inverse rendering pipeline that includes...
We present a method that synthesizes novel views of complex scenes by
in...
Ultrasonic intra-body communication (IBC) is a promising enabling techno...
This paper addresses the challenge of novel view synthesis for a human
p...
Predicting where people can walk in a scene is important for many tasks,...
Recent research on learned visual descriptors has shown promising
improv...
Nowadays, with the rapid development of data collection sources and feat...
In the past decades, spectral clustering (SC) has become one of the most...
Object clustering, aiming at grouping similar objects into one cluster w...
DP-coloring was introduced by Dvořák and Postle [J. Combin. Theory
Ser. ...
Let f be a nonnegative integer valued function on the vertex-set of a
gr...
Consider the lifelong learning paradigm whose objective is to learn a
se...
Microrobots are considered as promising tools for biomedical application...
This work proposes a multi-image matching method to estimate semantic
co...