1 code implementation • 7 Aug 2022 • Sebastian Lutz, Richard Blythman, Koustav Ghosal, Matthew Moynihan, Ciaran Simms, Aljosa Smolic
Monocular 3D human pose estimation technologies have the potential to greatly increase the availability of human movement data.
Ranked #50 on 3D Human Pose Estimation on Human3.6M
no code implementations • 22 Apr 2021 • Ojasvi Yadav, Koustav Ghosal, Sebastian Lutz, Aljosa Smolic
We address the problem of exposure correction of dark, blurry and noisy images captured in low-light conditions in the wild.
no code implementations • 24 Mar 2021 • Sebastian Lutz, Aljosa Smolic
In natural image matting, the goal is to estimate the opacity of the foreground object in the image.
no code implementations • 3 Sep 2019 • Xu Zheng, Tejo Chalasani, Koustav Ghosal, Sebastian Lutz, Aljosa Smolic
The success of training deep Convolutional Neural Networks (CNNs) heavily depends on a significant amount of labelled data.
1 code implementation • 26 Jul 2018 • Sebastian Lutz, Konstantinos Amplianitis, Aljosa Smolic
We present the first generative adversarial network (GAN) for natural image matting.
no code implementations • 19 Sep 2017 • Rafael Monroy, Sebastian Lutz, Tejo Chalasani, Aljosa Smolic
The prediction of Visual Attention data from any kind of media is of valuable use to content creators and used to efficiently drive encoding algorithms.