Domain generalized semantic segmentation (DGSS) is a critical yet challe...
Most nighttime semantic segmentation studies are based on domain adaptat...
This paper introduces and explores a new programming paradigm, Model-bas...
With the increasing ubiquity of cameras and smart sensors, humanity is
g...
Interactive volume segmentation can be approached via two decoupled modu...
To date, little attention has been given to multi-view 3D human mesh
est...
Federated Learning (FL) is a machine learning paradigm where many local ...
Knowing the 3D motions in a dynamic scene is essential to many vision
ap...
Fully supervised human mesh recovery methods are data-hungry and have po...
The goal of click-based interactive image segmentation is to obtain prec...
Despite much recent progress in video-based person re-identification (re...
We consider the problem of obese human mesh recovery, i.e., fitting a
pa...
Despite substantial progress in applying neural networks (NN) to a wide
...
We consider the problem of visually explaining similarity models, i.e.,
...
Compressive subspace learning (CSL) with the exploitation of space diver...
Recent advances in Convolutional Neural Network (CNN) model interpretabi...
We consider the problem of learning similarity functions. While there ha...
We propose a new deep architecture for person re-identification (re-id)....
Designing real-world person re-identification (re-id) systems requires
a...