Alert button
Picture for Jonas Unger

Jonas Unger

Alert button

FROST-BRDF: A Fast and Robust Optimal Sampling Technique for BRDF Acquisition

Jan 14, 2024
Ehsan Miandji, Tanaboon Tongbuasirilai, Saghi Hajisharif, Behnaz Kavoosighafi, Jonas Unger

Viaarxiv icon

Standalone Neural ODEs with Sensitivity Analysis

Jun 08, 2022
Rym Jaroudi, Lukáš Malý, Gabriel Eilertsen, B. Tomas Johansson, Jonas Unger, George Baravdish

Figure 1 for Standalone Neural ODEs with Sensitivity Analysis
Figure 2 for Standalone Neural ODEs with Sensitivity Analysis
Figure 3 for Standalone Neural ODEs with Sensitivity Analysis
Figure 4 for Standalone Neural ODEs with Sensitivity Analysis
Viaarxiv icon

Learning via nonlinear conjugate gradients and depth-varying neural ODEs

Feb 11, 2022
George Baravdish, Gabriel Eilertsen, Rym Jaroudi, B. Tomas Johansson, Lukáš Malý, Jonas Unger

Figure 1 for Learning via nonlinear conjugate gradients and depth-varying neural ODEs
Figure 2 for Learning via nonlinear conjugate gradients and depth-varying neural ODEs
Figure 3 for Learning via nonlinear conjugate gradients and depth-varying neural ODEs
Figure 4 for Learning via nonlinear conjugate gradients and depth-varying neural ODEs
Viaarxiv icon

Learning Representations with Contrastive Self-Supervised Learning for Histopathology Applications

Dec 10, 2021
Karin Stacke, Jonas Unger, Claes Lundström, Gabriel Eilertsen

Figure 1 for Learning Representations with Contrastive Self-Supervised Learning for Histopathology Applications
Figure 2 for Learning Representations with Contrastive Self-Supervised Learning for Histopathology Applications
Figure 3 for Learning Representations with Contrastive Self-Supervised Learning for Histopathology Applications
Figure 4 for Learning Representations with Contrastive Self-Supervised Learning for Histopathology Applications
Viaarxiv icon

Primary Tumor and Inter-Organ Augmentations for Supervised Lymph Node Colon Adenocarcinoma Metastasis Detection

Sep 17, 2021
Apostolia Tsirikoglou, Karin Stacke, Gabriel Eilertsen, Jonas Unger

Figure 1 for Primary Tumor and Inter-Organ Augmentations for Supervised Lymph Node Colon Adenocarcinoma Metastasis Detection
Figure 2 for Primary Tumor and Inter-Organ Augmentations for Supervised Lymph Node Colon Adenocarcinoma Metastasis Detection
Figure 3 for Primary Tumor and Inter-Organ Augmentations for Supervised Lymph Node Colon Adenocarcinoma Metastasis Detection
Figure 4 for Primary Tumor and Inter-Organ Augmentations for Supervised Lymph Node Colon Adenocarcinoma Metastasis Detection
Viaarxiv icon

How to cheat with metrics in single-image HDR reconstruction

Aug 19, 2021
Gabriel Eilertsen, Saghi Hajisharif, Param Hanji, Apostolia Tsirikoglou, Rafal K. Mantiuk, Jonas Unger

Figure 1 for How to cheat with metrics in single-image HDR reconstruction
Figure 2 for How to cheat with metrics in single-image HDR reconstruction
Figure 3 for How to cheat with metrics in single-image HDR reconstruction
Figure 4 for How to cheat with metrics in single-image HDR reconstruction
Viaarxiv icon

Ensembles of GANs for synthetic training data generation

Apr 23, 2021
Gabriel Eilertsen, Apostolia Tsirikoglou, Claes Lundström, Jonas Unger

Figure 1 for Ensembles of GANs for synthetic training data generation
Figure 2 for Ensembles of GANs for synthetic training data generation
Figure 3 for Ensembles of GANs for synthetic training data generation
Figure 4 for Ensembles of GANs for synthetic training data generation
Viaarxiv icon

A Study of Deep Learning Colon Cancer Detection in Limited Data Access Scenarios

May 22, 2020
Apostolia Tsirikoglou, Karin Stacke, Gabriel Eilertsen, Martin Lindvall, Jonas Unger

Figure 1 for A Study of Deep Learning Colon Cancer Detection in Limited Data Access Scenarios
Viaarxiv icon

Classifying the classifier: dissecting the weight space of neural networks

Feb 13, 2020
Gabriel Eilertsen, Daniel Jönsson, Timo Ropinski, Jonas Unger, Anders Ynnerman

Figure 1 for Classifying the classifier: dissecting the weight space of neural networks
Figure 2 for Classifying the classifier: dissecting the weight space of neural networks
Figure 3 for Classifying the classifier: dissecting the weight space of neural networks
Figure 4 for Classifying the classifier: dissecting the weight space of neural networks
Viaarxiv icon