Christoph Meinel

research

∙ 05/03/2023

DocLangID: Improving Few-Shot Training to Identify the Language of Historical Documents

Language identification describes the task of recognizing the language o...

0 Furkan Simsek, et al. ∙

research

∙ 11/23/2022

Join the High Accuracy Club on ImageNet with A Binary Neural Network Ticket

Binary neural networks are the extreme case of network quantization, whi...

0 Nianhui Guo, et al. ∙

research

∙ 10/29/2022

Empirical Evaluation of Post-Training Quantization Methods for Language Tasks

Transformer-based architectures like BERT have achieved great success in...

0 Ting Hu, et al. ∙

research

∙ 09/19/2022

A Closer Look at Novel Class Discovery from the Labeled Set

Novel class discovery (NCD) aims to infer novel categories in an unlabel...

0 Ziyun Li, et al. ∙

research

∙ 06/20/2022

Mitigating Sovereign Data Exchange Challenges: A Mapping to Apply Privacy- and Authenticity-Enhancing Technologies

Harmful repercussions from sharing sensitive or personal data can hamper...

0 Kaja Schmidt, et al. ∙

research

∙ 01/13/2022

Weakly Supervised Scene Text Detection using Deep Reinforcement Learning

The challenging field of scene text detection requires complex data anno...

0 Emanuel Metzenthin, et al. ∙

research

∙ 12/27/2021

Does CLIP Benefit Visual Question Answering in the Medical Domain as Much as it Does in the General Domain?

Contrastive Language–Image Pre-training (CLIP) has shown remarkable succ...

37 Sedigheh Eslami, et al. ∙

research

∙ 07/14/2021

Synthesis in Style: Semantic Segmentation of Historical Documents using Synthetic Data

One of the most pressing problems in the automated analysis of historica...

0 Christian Bartz, et al. ∙

research

∙ 06/13/2021

BoolNet: Minimizing The Energy Consumption of Binary Neural Networks

Recent works on Binary Neural Networks (BNNs) have made promising progre...

0 Nianhui Guo, et al. ∙

research

∙ 06/02/2021

Not All Knowledge Is Created Equal

Mutual knowledge distillation (MKD) improves a model by distilling knowl...

15 Ziyun Li, et al. ∙

research

∙ 03/22/2021

Evaluating Post-Training Compression in GANs using Locality-Sensitive Hashing

The analysis of the compression effects in generative adversarial networ...

16 Gonçalo Mordido, et al. ∙

research

∙ 11/04/2020

Handwriting Classification for the Analysis of Art-Historical Documents

Digitized archives contain and preserve the knowledge of generations of ...

0 Christian Bartz, et al. ∙

research

∙ 10/21/2020

One Model to Reconstruct Them All: A Novel Way to Use the Stochastic Noise in StyleGAN

Generative Adversarial Networks (GANs) have achieved state-of-the-art pe...

19 Christian Bartz, et al. ∙

research

∙ 10/09/2020

Mark-Evaluate: Assessing Language Generation using Population Estimation Methods

We propose a family of metrics to assess language generation derived fro...

0 Gonçalo Mordido, et al. ∙

research

∙ 02/03/2020

Improving the Evaluation of Generative Models with Fuzzy Logic

Objective and interpretable metrics to evaluate current artificial intel...

0 Julian Niedermeier, et al. ∙

research

∙ 01/16/2020

MeliusNet: Can Binary Neural Networks Achieve MobileNet-level Accuracy?

Binary Neural Networks (BNNs) are neural networks which use binary weigh...

0 Joseph Bethge, et al. ∙

research

∙ 01/10/2020

microbatchGAN: Stimulating Diversity with Multi-Adversarial Discrimination

We propose to tackle the mode collapse problem in generative adversarial...

11 Gonçalo Mordido, et al. ∙

research

∙ 11/19/2019

KISS: Keeping It Simple for Scene Text Recognition

Over the past few years, several new methods for scene text recognition ...

0 Christian Bartz, et al. ∙

research

∙ 10/31/2019

SignCol: Open-Source Software for Collecting Sign Language Gestures

Sign(ed) languages use gestures, such as hand or head movements, for com...

0 Mohammad Eslami, et al. ∙

research

∙ 09/30/2019

K-Metamodes: frequency- and ensemble-based distributed k-modes clustering for security analytics

Nowadays processing of Big Security Data, such as log messages, is commo...

0 Andrey Sapegin, et al. ∙

research

∙ 06/19/2019

Back to Simplicity: How to Train Accurate BNNs from Scratch?

Binary Neural Networks (BNNs) show promising progress in reducing comput...

0 Joseph Bethge, et al. ∙

research

∙ 01/11/2019

Don't Wait to be Breached! Creating Asymmetric Uncertainty of Cloud Applications via Moving Target Defenses

Cloud applications expose - besides service endpoints - also potential o...

0 Kennedy A. Torkura, et al. ∙

research

∙ 12/11/2018

Towards Automatic Personality Prediction Using Facebook Like Categories

We demonstrate that effortlessly accessible digital records of behavior ...

0 Raad Bin Tareaf, et al. ∙

research

∙ 12/05/2018

Training Competitive Binary Neural Networks from Scratch

Convolutional neural networks have achieved astonishing results in diffe...

0 Joseph Bethge, et al. ∙

research

∙ 11/22/2018

Multi-Task Generative Adversarial Network for Handling Imbalanced Clinical Data

We propose a new generative adversarial architecture to mitigate imbalan...

0 Mina Rezaei, et al. ∙

research

∙ 11/14/2018

LoANs: Weakly Supervised Object Detection with Localizer Assessor Networks

Recently, deep neural networks have achieved remarkable performance on t...

2 Christian Bartz, et al. ∙

research

∙ 10/09/2018

Conditional Generative Refinement Adversarial Networks for Unbalanced Medical Image Semantic Segmentation

We propose a new generative adversarial architecture to mitigate imbalan...

6 Mina Rezaei, et al. ∙

research

∙ 09/27/2018

Learning to Train a Binary Neural Network

Convolutional neural networks have achieved astonishing results in diffe...

0 Joseph Bethge, et al. ∙

research

∙ 07/30/2018

Dropout-GAN: Learning from a Dynamic Ensemble of Discriminators

We propose to incorporate adversarial dropout in generative multi-advers...

0 Gonçalo Mordido, et al. ∙

research

∙ 07/21/2018

On the Relevance of Blockchain in Identity Management

The ubiquitous application of emerging blockchain technology in numerous...

0 Andreas Grüner, et al. ∙

research

∙ 07/17/2018

A Survey on Essential Components of a Self-Sovereign Identity

This paper provides an overview of the Self-Sovereign Identity (SSI) con...

0 Alexander Mühle, et al. ∙

research

∙ 12/14/2017

SEE: Towards Semi-Supervised End-to-End Scene Text Recognition

Detecting and recognizing text in natural scene images is a challenging,...

0 Christian Bartz, et al. ∙

research

∙ 07/27/2017

STN-OCR: A single Neural Network for Text Detection and Text Recognition

Detecting and recognizing text in natural scene images is a challenging,...

0 Christian Bartz, et al. ∙

research

∙ 05/27/2017

BMXNet: An Open-Source Binary Neural Network Implementation Based on MXNet

Binary Neural Networks (BNNs) can drastically reduce memory size and acc...

0 Haojin Yang, et al. ∙

research

∙ 04/04/2016

Image Captioning with Deep Bidirectional LSTMs

This work presents an end-to-end trainable deep bidirectional LSTM (Long...

0 Cheng Wang, et al. ∙

Christoph Meinel

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