In recent years, the neural implicit surface has emerged as a powerful
r...
We consider a new problem of adapting a human mesh reconstruction model ...
With the increased availability of rich tactile sensors, there is an equ...
This paper considers a new problem of adapting a pre-trained model of hu...
Deep neural networks (DNNs) have become a key part of many modern softwa...
This technical report presents a solution for the 2020 Traffic4Cast
Chal...
In video prediction tasks, one major challenge is to capture the multi-m...
Follow-up serves an important role in the management of pulmonary nodule...
This paper addresses a fundamental challenge in 3D medical image process...
There has been considerable debate over 2D and 3D representation learnin...
Trained DNN models are increasingly adopted as integral parts of softwar...
With the increasing adoption of Deep Neural Network (DNN) models as inte...
This work make the first attempt to generate articulated human motion
se...
Key to automatically generate natural scene images is to properly arrang...