Search Results for author: Vincent Christlein

Found 38 papers, 14 papers with code

ICC++: Explainable Image Retrieval for Art Historical Corpora using Image Composition Canvas

no code implementations22 Jun 2022 Prathmesh Madhu, Tilman Marquart, Ronak Kosti, Dirk Suckow, Peter Bell, Andreas Maier, Vincent Christlein

In this work, we present a novel approach called Image Composition Canvas (ICC++) to compare and retrieve images having similar compositional elements.

Image Retrieval

SliTraNet: Automatic Detection of Slide Transitions in Lecture Videos using Convolutional Neural Networks

no code implementations7 Feb 2022 Aline Sindel, Abner Hernandez, Seung Hee Yang, Vincent Christlein, Andreas Maier

With the increasing number of online learning material in the web, search for specific content in lecture videos can be time consuming.

online learning

Module-Power Prediction from PL Measurements using Deep Learning

no code implementations31 Aug 2021 Mathis Hoffmann, Johannes Hepp, Bernd Doll, Claudia Buerhop-Lutz, Ian Marius Peters, Christoph Brabec, Andreas Maier, Vincent Christlein

While these areas can be easily identified from electroluminescense (EL) images, this is much harder for photoluminescence (PL) images.

SmartPatch: Improving Handwritten Word Imitation with Patch Discriminators

1 code implementation21 May 2021 Alexander Mattick, Martin Mayr, Mathias Seuret, Andreas Maier, Vincent Christlein

As of recent generative adversarial networks have allowed for big leaps in the realism of generated images in diverse domains, not the least of which being handwritten text generation.

Data Augmentation Handwritten Text Recognition +1

How Will Your Tweet Be Received? Predicting the Sentiment Polarity of Tweet Replies

1 code implementation21 Apr 2021 Soroosh Tayebi Arasteh, Mehrpad Monajem, Vincent Christlein, Philipp Heinrich, Anguelos Nicolaou, Hamidreza Naderi Boldaji, Mahshad Lotfinia, Stefan Evert

As a strong baseline, we propose a two-stage DL-based method: first, we create automatically labeled training data by applying a standard sentiment classifier to tweet replies and aggregating its predictions for each original tweet; our rationale is that individual errors made by the classifier are likely to cancel out in the aggregation step.

Twitter Sentiment Analysis

Is Medical Chest X-ray Data Anonymous?

no code implementations15 Mar 2021 Kai Packhäuser, Sebastian Gündel, Nicolas Münster, Christopher Syben, Vincent Christlein, Andreas Maier

Our verification system is able to identify whether two frontal chest X-ray images are from the same person with an AUC of 0. 9940 and a classification accuracy of 95. 55%.

Pixel-wise Distance Regression for Glacier Calving Front Detection and Segmentation

no code implementations9 Mar 2021 Amirabbas Davari, Christoph Baller, Thorsten Seehaus, Matthias Braun, Andreas Maier, Vincent Christlein

In this work, we propose to mitigate the class-imbalance between the calving front class and the non-calving front class by reformulating the segmentation problem into a pixel-wise regression task.

Glacier Calving Front Segmentation Using Attention U-Net

no code implementations8 Jan 2021 Michael Holzmann, Amirabbas Davari, Thorsten Seehaus, Matthias Braun, Andreas Maier, Vincent Christlein

An essential climate variable to determine the tidewater glacier status is the location of the calving front position and the separation of seasonal variability from long-term trends.

Enhancing Human Pose Estimation in Ancient Vase Paintings via Perceptually-grounded Style Transfer Learning

1 code implementation10 Dec 2020 Prathmesh Madhu, Angel Villar-Corrales, Ronak Kosti, Torsten Bendschus, Corinna Reinhardt, Peter Bell, Andreas Maier, Vincent Christlein

(2) To improve the already strong results further, we created a small dataset (ClassArch) consisting of ancient Greek vase paintings from the 6-5th century BCE with person and pose annotations.

Image Retrieval Pose Estimation +2

ICFHR 2020 Competition on Image Retrieval for Historical Handwritten Fragments

1 code implementation20 Oct 2020 Mathias Seuret, Anguelos Nicolaou, Dominique Stutzmann, Andreas Maier, Vincent Christlein

In particular, we investigate the performance of large-scale retrieval of historical document fragments in terms of style and writer identification.

Image Retrieval

Deep Learning-based Pipeline for Module Power Prediction from EL Measurements

1 code implementation30 Sep 2020 Mathis Hoffmann, Claudia Buerhop-Lutz, Luca Reeb, Tobias Pickel, Thilo Winkler, Bernd Doll, Tobias Würfl, Ian Marius Peters, Christoph Brabec, Andreas Maier, Vincent Christlein

However, knowledge of the power at maximum power point is important as well, since drops in the power of a single module can affect the performance of an entire string.

Proof of Concept: Automatic Type Recognition

no code implementations15 Jul 2020 Vincent Christlein, Nikolaus Weichselbaumer, Saskia Limbach, Mathias Seuret

The type used to print an early modern book can give scholars valuable information about the time and place of its production as well as its producer.

Classification General Classification

The Notary in the Haystack -- Countering Class Imbalance in Document Processing with CNNs

no code implementations15 Jul 2020 Martin Leipert, Georg Vogeler, Mathias Seuret, Andreas Maier, Vincent Christlein

In classification, notarial instruments are distinguished from other documents, while the notary sign is separated from the certificate in the segmentation task.

Classification Data Augmentation +1

Re-ranking for Writer Identification and Writer Retrieval

no code implementations14 Jul 2020 Simon Jordan, Mathias Seuret, Pavel Král, Ladislav Lenc, Jiří Martínek, Barbara Wiermann, Tobias Schwinger, Andreas Maier, Vincent Christlein

We show that a re-ranking step based on k-reciprocal nearest neighbor relationships is advantageous for writer identification, even if only a few samples per writer are available.


Recognizing Characters in Art History Using Deep Learning

1 code implementation31 Mar 2020 Prathmesh Madhu, Ronak Kosti, Lara Mührenberg, Peter Bell, Andreas Maier, Vincent Christlein

We present experiments and analysis on three different models and show that the model trained on domain related data gives the best performance for recognizing character.

Computer Vision

Spatio-Temporal Handwriting Imitation

2 code implementations24 Mar 2020 Martin Mayr, Martin Stumpf, Anguelos Nicolaou, Mathias Seuret, Andreas Maier, Vincent Christlein

Then, a method for online handwriting synthesis is used to produce a new realistic-looking text primed with the online input sequence.

ICDAR 2019 Competition on Image Retrieval for Historical Handwritten Documents

1 code implementation8 Dec 2019 Vincent Christlein, Anguelos Nicolaou, Mathias Seuret, Dominique Stutzmann, Andreas Maier

This competition investigates the performance of large-scale retrieval of historical document images based on writing style.

Image Retrieval

Deep Generalized Max Pooling

1 code implementation14 Aug 2019 Vincent Christlein, Lukas Spranger, Mathias Seuret, Anguelos Nicolaou, Pavel Král, Andreas Maier

Global pooling layers are an essential part of Convolutional Neural Networks (CNN).

Fast and robust detection of solar modules in electroluminescence images

no code implementations19 Jul 2019 Mathis Hoffmann, Bernd Doll, Florian Talkenberg, Christoph J. Brabec, Andreas K. Maier, Vincent Christlein

We compare our method to the state of the art and show that it is superior in presence of perspective distortion while the performance on images, where the module is roughly coplanar to the detector, is similar to the reference method.

Adversarial and Perceptual Refinement for Compressed Sensing MRI Reconstruction

1 code implementation28 Jun 2018 Maximilian Seitzer, Guang Yang, Jo Schlemper, Ozan Oktay, Tobias Würfl, Vincent Christlein, Tom Wong, Raad Mohiaddin, David Firmin, Jennifer Keegan, Daniel Rueckert, Andreas Maier

In addition, we introduce a semantic interpretability score, measuring the visibility of the region of interest in both ground truth and reconstructed images, which allows us to objectively quantify the usefulness of the image quality for image post-processing and analysis.

MRI Reconstruction

Hyper-Hue and EMAP on Hyperspectral Images for Supervised Layer Decomposition of Old Master Drawings

no code implementations29 Jan 2018 AmirAbbas Davari, Nikolaos Sakaltras, Armin Haeberle, Sulaiman Vesal, Vincent Christlein, Andreas Maier, Christian Riess

In this work, we propose an image processing pipeline that operates on hyperspectral images to separate such layers.

Towards Arbitrary Noise Augmentation - Deep Learning for Sampling from Arbitrary Probability Distributions

no code implementations12 Jan 2018 Felix Horger, Tobias Würfl, Vincent Christlein, Andreas Maier

Our model has high sampling efficiency and is easily applied to any probability distribution, without the need of further analytical or numerical calculations.

Encoding CNN Activations for Writer Recognition

no code implementations21 Dec 2017 Vincent Christlein, Andreas Maier

The encoding of local features is an essential part for writer identification and writer retrieval.

Image Registration for the Alignment of Digitized Historical Documents

no code implementations12 Dec 2017 AmirAbbas Davari, Tobias Lindenberger, Armin Häberle, Vincent Christlein, Andreas Maier, Christian Riess

In this work, we conducted a survey on different registration algorithms and investigated their suitability for hyperspectral historical image registration applications.

Image Registration

Sketch Layer Separation in Multi-Spectral Historical Document Images

no code implementations10 Dec 2017 AmirAbbas Davari, Armin Häberle, Vincent Christlein, Andreas Maier, Christian Riess

High-resolution imaging has delivered new prospects for detecting the material composition and structure of cultural treasures.

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