Search Results for author: Frank Lindseth

Found 12 papers, 10 papers with code

Geo-locating Road Objects using Inverse Haversine Formula with NVIDIA Driveworks

no code implementations15 Jan 2024 Mamoona Birkhez Shami, Gabriel Kiss, Trond Arve Haakonsen, Frank Lindseth

We present a measurement pipeline suitable for autonomous driving (AD) platforms and provide detailed guidelines for calibrating cameras using NVIDIA DriveWorks.

Autonomous Driving Object Recognition

Does Image Anonymization Impact Computer Vision Training?

1 code implementation8 Jun 2023 Håkon Hukkelås, Frank Lindseth

Furthermore, we find that realistic anonymization can mitigate this decrease in performance, where our experiments reflect a minimal performance drop for face anonymization.

Face Anonymization Instance Segmentation +3

Synthesizing Anyone, Anywhere, in Any Pose

1 code implementation6 Apr 2023 Håkon Hukkelås, Frank Lindseth

Our main contribution is TriA-GAN, a keypoint-guided GAN that can synthesize Anyone, Anywhere, in Any given pose.

FullFormer: Generating Shapes Inside Shapes

no code implementations20 Mar 2023 Tejaswini Medi, Jawad Tayyub, Muhammad Sarmad, Frank Lindseth, Margret Keuper

Implicit generative models have been widely employed to model 3D data and have recently proven to be successful in encoding and generating high-quality 3D shapes.

3D Shape Generation Point Cloud Generation

DeepPrivacy2: Towards Realistic Full-Body Anonymization

1 code implementation17 Nov 2022 Håkon Hukkelås, Frank Lindseth

Generative Adversarial Networks (GANs) are widely adapted for anonymization of human figures.

Face Anonymization

Realistic Full-Body Anonymization with Surface-Guided GANs

1 code implementation6 Jan 2022 Håkon Hukkelås, Morten Smebye, Rudolf Mester, Frank Lindseth

Recent work on image anonymization has shown that generative adversarial networks (GANs) can generate near-photorealistic faces to anonymize individuals.

Teacher-Student Architecture for Mixed Supervised Lung Tumor Segmentation

1 code implementation21 Dec 2021 Vemund Fredriksen, Svein Ole M. Svele, André Pedersen, Thomas Langø, Gabriel Kiss, Frank Lindseth

Purpose: Automating tasks such as lung tumor localization and segmentation in radiological images can free valuable time for radiologists and other clinical personnel.

Segmentation Tumor Segmentation

Image Inpainting with Learnable Feature Imputation

1 code implementation2 Nov 2020 Håkon Hukkelås, Frank Lindseth, Rudolf Mester

We propose (layer-wise) feature imputation of the missing input values to a convolution.

Image Inpainting Imputation

DeepPrivacy: A Generative Adversarial Network for Face Anonymization

2 code implementations10 Sep 2019 Håkon Hukkelås, Rudolf Mester, Frank Lindseth

Our model is based on a conditional generative adversarial network, generating images considering the original pose and image background.

 Ranked #1 on Face Anonymization on 2019_test set (using extra training data)

Face Anonymization Generative Adversarial Network

Multimodal 3D Object Detection from Simulated Pretraining

2 code implementations19 May 2019 Åsmund Brekke, Fredrik Vatsendvik, Frank Lindseth

The need for simulated data in autonomous driving applications has become increasingly important, both for validation of pretrained models and for training new models.

3D Object Detection Autonomous Driving +2

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

1 code implementation16 May 2019 Hege Haavaldsen, Max Aasboe, Frank Lindseth

The results of this paper indicate that end-to-end systems can operate autonomously in simple urban environments.

Autonomous Driving

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