Search Results for author: Stefan Gumhold

Found 19 papers, 12 papers with code

FusionINN: Invertible Image Fusion for Brain Tumor Monitoring

no code implementations23 Mar 2024 Nishant Kumar, Ziyan Tao, Jaikirat Singh, Yang Li, Peiwen Sun, Binghui Zhao, Stefan Gumhold

Image fusion typically employs non-invertible neural networks to merge multiple source images into a single fused image.

Denoising Multi-Exposure Image Fusion

Quantile-based Maximum Likelihood Training for Outlier Detection

1 code implementation20 Aug 2023 Masoud Taghikhah, Nishant Kumar, Siniša Šegvić, Abouzar Eslami, Stefan Gumhold

Previous attempts to address this challenge involved training image classifiers through contrastive learning using actual outlier data or synthesizing outliers for self-supervised learning.

Autonomous Driving Contrastive Learning +3

Learning to reconstruct the bubble distribution with conductivity maps using Invertible Neural Networks and Error Diffusion

no code implementations4 Jul 2023 Nishant Kumar, Lukas Krause, Thomas Wondrak, Sven Eckert, Kerstin Eckert, Stefan Gumhold

Electrolysis is crucial for eco-friendly hydrogen production, but gas bubbles generated during the process hinder reactions, reduce cell efficiency, and increase energy consumption.

Examining Computational Performance of Unsupervised Concept Drift Detection: A Survey and Beyond

no code implementations17 Apr 2023 Elias Werner, Nishant Kumar, Matthias Lieber, Sunna Torge, Stefan Gumhold, Wolfgang E. Nagel

We show that the previous works consider computational performance only as a secondary objective and do not have a benchmark for such evaluation.

Benchmarking

Normalizing Flow based Feature Synthesis for Outlier-Aware Object Detection

1 code implementation CVPR 2023 Nishant Kumar, Siniša Šegvić, Abouzar Eslami, Stefan Gumhold

However, this strategy does not guarantee that the synthesized outlier features will have a low likelihood according to the other class-conditional Gaussians.

Autonomous Driving Object +2

Enhancing Fairness of Visual Attribute Predictors

1 code implementation7 Jul 2022 Tobias Hänel, Nishant Kumar, Dmitrij Schlesinger, Mengze Li, Erdem Ünal, Abouzar Eslami, Stefan Gumhold

The performance of deep neural networks for image recognition tasks such as predicting a smiling face is known to degrade with under-represented classes of sensitive attributes.

Attribute Fairness

InFlow: Robust outlier detection utilizing Normalizing Flows

1 code implementation10 Jun 2021 Nishant Kumar, Pia Hanfeld, Michael Hecht, Michael Bussmann, Stefan Gumhold, Nico Hoffmann

Normalizing flows are prominent deep generative models that provide tractable probability distributions and efficient density estimation.

Density Estimation Outlier Detection +1

FuseVis: Interpreting neural networks for image fusion using per-pixel saliency visualization

1 code implementation6 Dec 2020 Nishant Kumar, Stefan Gumhold

However, it is challenging to analyze the reliability of these CNNs for the image fusion tasks since no groundtruth is available.

Autonomous Driving Multi-Exposure Image Fusion

Visualisation of Medical Image Fusion and Translation for Accurate Diagnosis of High Grade Gliomas

1 code implementation26 Jan 2020 Nishant Kumar, Nico Hoffmann, Matthias Kirsch, Stefan Gumhold

The medical image fusion combines two or more modalities into a single view while medical image translation synthesizes new images and assists in data augmentation.

Data Augmentation Translation

Learning to Think Outside the Box: Wide-Baseline Light Field Depth Estimation with EPI-Shift

no code implementations19 Sep 2019 Titus Leistner, Hendrik Schilling, Radek Mackowiak, Stefan Gumhold, Carsten Rother

In order to work with wide-baseline light fields, we introduce the idea of EPI-Shift: To virtually shift the light field stack which enables to retain a small receptive field, independent of the disparity range.

Depth Estimation

Structural Similarity based Anatomical and Functional Brain Imaging Fusion

1 code implementation11 Aug 2019 Nishant Kumar, Nico Hoffmann, Martin Oelschlägel, Edmund Koch, Matthias Kirsch, Stefan Gumhold

Multimodal medical image fusion helps in combining contrasting features from two or more input imaging modalities to represent fused information in a single image.

SSIM

scenery -- Flexible Virtual Reality Visualisation on the Java VM

2 code implementations16 Jun 2019 Ulrik Günther, Tobias Pietzsch, Aryaman Gupta, Kyle I. S. Harrington, Pavel Tomancak, Stefan Gumhold, Ivo F. Sbalzarini

Life science today involves computational analysis of a large amount and variety of data, such as volumetric data acquired by state-of-the-art microscopes, or mesh data resulting from analysis of such data or simulations.

Graphics

Global Hypothesis Generation for 6D Object Pose Estimation

no code implementations CVPR 2017 Frank Michel, Alexander Kirillov, Eric Brachmann, Alexander Krull, Stefan Gumhold, Bogdan Savchynskyy, Carsten Rother

Most modern approaches solve this task in three steps: i) Compute local features; ii) Generate a pool of pose-hypotheses; iii) Select and refine a pose from the pool.

6D Pose Estimation using RGB Object

In situ, steerable, hardware-independent and data-structure agnostic visualization with ISAAC

1 code implementation28 Nov 2016 Alexander Matthes, Axel Huebl, René Widera, Sebastian Grottel, Stefan Gumhold, Michael Bussmann

The computation power of supercomputers grows faster than the bandwidth of their storage and network.

Distributed, Parallel, and Cluster Computing

DSAC - Differentiable RANSAC for Camera Localization

4 code implementations CVPR 2017 Eric Brachmann, Alexander Krull, Sebastian Nowozin, Jamie Shotton, Frank Michel, Stefan Gumhold, Carsten Rother

The most promising approach is inspired by reinforcement learning, namely to replace the deterministic hypothesis selection by a probabilistic selection for which we can derive the expected loss w. r. t.

Camera Localization Visual Localization

Uncertainty-Driven 6D Pose Estimation of Objects and Scenes From a Single RGB Image

no code implementations CVPR 2016 Eric Brachmann, Frank Michel, Alexander Krull, Michael Ying Yang, Stefan Gumhold, Carsten Rother

In recent years, the task of estimating the 6D pose of object instances and complete scenes, i. e. camera localization, from a single input image has received considerable attention.

6D Pose Estimation 6D Pose Estimation using RGB +2

Learning Analysis-by-Synthesis for 6D Pose Estimation in RGB-D Images

no code implementations ICCV 2015 Alexander Krull, Eric Brachmann, Frank Michel, Michael Ying Yang, Stefan Gumhold, Carsten Rother

This is done by describing the posterior density of a particular object pose with a convolutional neural network (CNN) that compares an observed and rendered image.

6D Pose Estimation 6D Pose Estimation using RGB +1

Cannot find the paper you are looking for? You can Submit a new open access paper.