Frank Lindseth | DeepAI

DeepAI AI Chat

Featured Co-authors

Margret Keuper
40 publications
Rudolf Mester
17 publications
André Pedersen
9 publications
Ole Jakob Elle
7 publications
David Bouget
6 publications
Håkon Hukkelås
6 publications
Muhammad Sarmad
5 publications
Jawad Tayyub
5 publications
Thomas Langø
3 publications
Javier Pérez de Frutos
2 publications
Vemund Fredriksen
1 publication

∙ 06/08/2023

Does Image Anonymization Impact Computer Vision Training?

Image anonymization is widely adapted in practice to comply with privacy...

0 Håkon Hukkelås, et al. ∙

∙ 04/06/2023

Synthesizing Anyone, Anywhere, in Any Pose

We address the task of in-the-wild human figure synthesis, where the pri...

0 Håkon Hukkelås, et al. ∙

∙ 03/20/2023

FullFormer: Generating Shapes Inside Shapes

Implicit generative models have been widely employed to model 3D data an...

0 Tejaswini Medi, et al. ∙

∙ 11/28/2022

Train smarter, not harder: learning deep abdominal CT registration on scarce data

Purpose: This study aims to explore training strategies to improve convo...

0 Javier Pérez de Frutos, et al. ∙

∙ 11/17/2022

DeepPrivacy2: Towards Realistic Full-Body Anonymization

Generative Adversarial Networks (GANs) are widely adapted for anonymizat...

0 Håkon Hukkelås, et al. ∙

∙ 01/06/2022

Realistic Full-Body Anonymization with Surface-Guided GANs

Recent work on image anonymization has shown that generative adversarial...

5 Håkon Hukkelås, et al. ∙

∙ 12/21/2021

Teacher-Student Architecture for Mixed Supervised Lung Tumor Segmentation

Purpose: Automating tasks such as lung tumor localization and segmentati...

0 Vemund Fredriksen, et al. ∙

∙ 11/02/2020

Image Inpainting with Learnable Feature Imputation

A regular convolution layer applying a filter in the same way over known...

0 Håkon Hukkelås, et al. ∙

∙ 09/10/2019

DeepPrivacy: A Generative Adversarial Network for Face Anonymization

We propose a novel architecture which is able to automatically anonymize...

38 Håkon Hukkelås, et al. ∙

∙ 05/19/2019

Multimodal 3D Object Detection from Simulated Pretraining

The need for simulated data in autonomous driving applications has becom...

0 Åsmund Brekke, et al. ∙

∙ 05/16/2019

Autonomous Vehicle Control: End-to-end Learning in Simulated Urban Environments

In recent years, considerable progress has been made towards a vehicle's...

0 Hege Haavaldsen, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world