Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox
Picture for Christoph Meinel

Christoph Meinel

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


Mar 22, 2021
Gonçalo Mordido, Haojin Yang, Christoph Meinel


  Access Paper or Ask Questions

Handwriting Classification for the Analysis of Art-Historical Documents


Nov 04, 2020
Christian Bartz, Hendrik RĂ€tz, Christoph Meinel

Figure 1 for Handwriting Classification for the Analysis of Art-Historical Documents
Figure 2 for Handwriting Classification for the Analysis of Art-Historical Documents
Figure 3 for Handwriting Classification for the Analysis of Art-Historical Documents
Figure 4 for Handwriting Classification for the Analysis of Art-Historical Documents
* Code available at https://github.com/hendraet/handwriting-classification 
  Access Paper or Ask Questions

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


Oct 21, 2020
Christian Bartz, Joseph Bethge, Haojin Yang, Christoph Meinel

Figure 1 for One Model to Reconstruct Them All: A Novel Way to Use the Stochastic Noise in StyleGAN
Figure 2 for One Model to Reconstruct Them All: A Novel Way to Use the Stochastic Noise in StyleGAN
Figure 3 for One Model to Reconstruct Them All: A Novel Way to Use the Stochastic Noise in StyleGAN
Figure 4 for One Model to Reconstruct Them All: A Novel Way to Use the Stochastic Noise in StyleGAN
* Code and Models are available at https://github.com/Bartzi/one-model-to-reconstruct-them-all 
  Access Paper or Ask Questions

Mark-Evaluate: Assessing Language Generation using Population Estimation Methods


Oct 09, 2020
Gonçalo Mordido, Christoph Meinel

Figure 1 for Mark-Evaluate: Assessing Language Generation using Population Estimation Methods
Figure 2 for Mark-Evaluate: Assessing Language Generation using Population Estimation Methods
Figure 3 for Mark-Evaluate: Assessing Language Generation using Population Estimation Methods
Figure 4 for Mark-Evaluate: Assessing Language Generation using Population Estimation Methods
* Accepted at COLING 2020 
  Access Paper or Ask Questions

Improving the Evaluation of Generative Models with Fuzzy Logic


Feb 03, 2020
Julian Niedermeier, Gonçalo Mordido, Christoph Meinel

Figure 1 for Improving the Evaluation of Generative Models with Fuzzy Logic
Figure 2 for Improving the Evaluation of Generative Models with Fuzzy Logic
Figure 3 for Improving the Evaluation of Generative Models with Fuzzy Logic
Figure 4 for Improving the Evaluation of Generative Models with Fuzzy Logic
* AAAI 2020 Meta-Eval 
  Access Paper or Ask Questions

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


Jan 16, 2020
Joseph Bethge, Christian Bartz, Haojin Yang, Ying Chen, Christoph Meinel

Figure 1 for MeliusNet: Can Binary Neural Networks Achieve MobileNet-level Accuracy?
Figure 2 for MeliusNet: Can Binary Neural Networks Achieve MobileNet-level Accuracy?
Figure 3 for MeliusNet: Can Binary Neural Networks Achieve MobileNet-level Accuracy?
Figure 4 for MeliusNet: Can Binary Neural Networks Achieve MobileNet-level Accuracy?

  Access Paper or Ask Questions

microbatchGAN: Stimulating Diversity with Multi-Adversarial Discrimination


Jan 10, 2020
Gonçalo Mordido, Haojin Yang, Christoph Meinel

Figure 1 for microbatchGAN: Stimulating Diversity with Multi-Adversarial Discrimination
Figure 2 for microbatchGAN: Stimulating Diversity with Multi-Adversarial Discrimination
Figure 3 for microbatchGAN: Stimulating Diversity with Multi-Adversarial Discrimination
Figure 4 for microbatchGAN: Stimulating Diversity with Multi-Adversarial Discrimination
* WACV 2020 
  Access Paper or Ask Questions

KISS: Keeping It Simple for Scene Text Recognition


Nov 19, 2019
Christian Bartz, Joseph Bethge, Haojin Yang, Christoph Meinel

Figure 1 for KISS: Keeping It Simple for Scene Text Recognition
Figure 2 for KISS: Keeping It Simple for Scene Text Recognition
Figure 3 for KISS: Keeping It Simple for Scene Text Recognition
Figure 4 for KISS: Keeping It Simple for Scene Text Recognition
* Code and Models available at https://github.com/Bartzi/kiss 
  Access Paper or Ask Questions

SignCol: Open-Source Software for Collecting Sign Language Gestures


Oct 31, 2019
Mohammad Eslami, Mahdi Karami, Sedigheh Eslami, Solale Tabarestani, Farah Torkamani-Azar, Christoph Meinel

Figure 1 for SignCol: Open-Source Software for Collecting Sign Language Gestures
Figure 2 for SignCol: Open-Source Software for Collecting Sign Language Gestures
Figure 3 for SignCol: Open-Source Software for Collecting Sign Language Gestures
Figure 4 for SignCol: Open-Source Software for Collecting Sign Language Gestures
* The paper is presented at ICSESS conference but the published version by them on the IEEE Xplore is impaired and the quality of figures is inappropriate!! This is the preprint version which had appropriate format and figures 
  Access Paper or Ask Questions

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


Sep 30, 2019
Andrey Sapegin, Christoph Meinel

Figure 1 for K-Metamodes: frequency- and ensemble-based distributed k-modes clustering for security analytics
Figure 2 for K-Metamodes: frequency- and ensemble-based distributed k-modes clustering for security analytics
Figure 3 for K-Metamodes: frequency- and ensemble-based distributed k-modes clustering for security analytics
Figure 4 for K-Metamodes: frequency- and ensemble-based distributed k-modes clustering for security analytics

  Access Paper or Ask Questions

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


Jun 19, 2019
Joseph Bethge, Haojin Yang, Marvin Bornstein, Christoph Meinel

Figure 1 for Back to Simplicity: How to Train Accurate BNNs from Scratch?
Figure 2 for Back to Simplicity: How to Train Accurate BNNs from Scratch?
Figure 3 for Back to Simplicity: How to Train Accurate BNNs from Scratch?
Figure 4 for Back to Simplicity: How to Train Accurate BNNs from Scratch?
* Supplementary Material can be found https://owncloud.hpi.de/s/1jrAUnqRAfg0TXH. arXiv admin note: substantial text overlap with arXiv:1812.01965 
  Access Paper or Ask Questions

Towards Automatic Personality Prediction Using Facebook Like Categories


Dec 11, 2018
Raad Bin Tareaf, Philipp Berger, Patrick Hennig, Christoph Meinel

Figure 1 for Towards Automatic Personality Prediction Using Facebook Like Categories
Figure 2 for Towards Automatic Personality Prediction Using Facebook Like Categories
Figure 3 for Towards Automatic Personality Prediction Using Facebook Like Categories
Figure 4 for Towards Automatic Personality Prediction Using Facebook Like Categories
* 14 pages, 6 figures, conference 
  Access Paper or Ask Questions

Training Competitive Binary Neural Networks from Scratch


Dec 05, 2018
Joseph Bethge, Marvin Bornstein, Adrian Loy, Haojin Yang, Christoph Meinel

Figure 1 for Training Competitive Binary Neural Networks from Scratch
Figure 2 for Training Competitive Binary Neural Networks from Scratch
Figure 3 for Training Competitive Binary Neural Networks from Scratch
Figure 4 for Training Competitive Binary Neural Networks from Scratch
* Our source code can be found at https://github.com/hpi-xnor/BMXNet-v2 
  Access Paper or Ask Questions

Multi-Task Generative Adversarial Network for Handling Imbalanced Clinical Data


Nov 22, 2018
Mina Rezaei, Haojin Yang, Christoph Meinel

Figure 1 for Multi-Task Generative Adversarial Network for Handling Imbalanced Clinical Data
Figure 2 for Multi-Task Generative Adversarial Network for Handling Imbalanced Clinical Data
Figure 3 for Multi-Task Generative Adversarial Network for Handling Imbalanced Clinical Data
* Machine Learning for Health (ML4H) Workshop at NeurIPS 2018 arXiv:1811.07216. arXiv admin note: text overlap with arXiv:1810.03871 
  Access Paper or Ask Questions

LoANs: Weakly Supervised Object Detection with Localizer Assessor Networks


Nov 15, 2018
Christian Bartz, Haojin Yang, Joseph Bethge, Christoph Meinel

Figure 1 for LoANs: Weakly Supervised Object Detection with Localizer Assessor Networks
Figure 2 for LoANs: Weakly Supervised Object Detection with Localizer Assessor Networks
Figure 3 for LoANs: Weakly Supervised Object Detection with Localizer Assessor Networks
Figure 4 for LoANs: Weakly Supervised Object Detection with Localizer Assessor Networks
* To appear in AMV18. Code, datasets and models available at https://github.com/Bartzi/loans 
  Access Paper or Ask Questions

Conditional Generative Refinement Adversarial Networks for Unbalanced Medical Image Semantic Segmentation


Oct 09, 2018
Mina Rezaei, Haojin Yang, Christoph Meinel

Figure 1 for Conditional Generative Refinement Adversarial Networks for Unbalanced Medical Image Semantic Segmentation
Figure 2 for Conditional Generative Refinement Adversarial Networks for Unbalanced Medical Image Semantic Segmentation
Figure 3 for Conditional Generative Refinement Adversarial Networks for Unbalanced Medical Image Semantic Segmentation
Figure 4 for Conditional Generative Refinement Adversarial Networks for Unbalanced Medical Image Semantic Segmentation

  Access Paper or Ask Questions

Learning to Train a Binary Neural Network


Sep 27, 2018
Joseph Bethge, Haojin Yang, Christian Bartz, Christoph Meinel

Figure 1 for Learning to Train a Binary Neural Network
Figure 2 for Learning to Train a Binary Neural Network
Figure 3 for Learning to Train a Binary Neural Network
Figure 4 for Learning to Train a Binary Neural Network
* Code: https://github.com/Jopyth/BMXNet 
  Access Paper or Ask Questions

Dropout-GAN: Learning from a Dynamic Ensemble of Discriminators


Jul 30, 2018
Gonçalo Mordido, Haojin Yang, Christoph Meinel

Figure 1 for Dropout-GAN: Learning from a Dynamic Ensemble of Discriminators
Figure 2 for Dropout-GAN: Learning from a Dynamic Ensemble of Discriminators
Figure 3 for Dropout-GAN: Learning from a Dynamic Ensemble of Discriminators
Figure 4 for Dropout-GAN: Learning from a Dynamic Ensemble of Discriminators
* ACM KDD'18 Deep Learning Day 
  Access Paper or Ask Questions

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


Dec 14, 2017
Christian Bartz, Haojin Yang, Christoph Meinel

Figure 1 for SEE: Towards Semi-Supervised End-to-End Scene Text Recognition
Figure 2 for SEE: Towards Semi-Supervised End-to-End Scene Text Recognition
Figure 3 for SEE: Towards Semi-Supervised End-to-End Scene Text Recognition
Figure 4 for SEE: Towards Semi-Supervised End-to-End Scene Text Recognition
* AAAI-18. arXiv admin note: substantial text overlap with arXiv:1707.08831 
  Access Paper or Ask Questions

Conditional Adversarial Network for Semantic Segmentation of Brain Tumor


Aug 17, 2017
Mina Rezaei, Konstantin Harmuth, Willi Gierke, Thomas Kellermeier, Martin Fischer, Haojin Yang, Christoph Meinel

Figure 1 for Conditional Adversarial Network for Semantic Segmentation of Brain Tumor
Figure 2 for Conditional Adversarial Network for Semantic Segmentation of Brain Tumor
Figure 3 for Conditional Adversarial Network for Semantic Segmentation of Brain Tumor
Figure 4 for Conditional Adversarial Network for Semantic Segmentation of Brain Tumor
* Submitted to BraTS challenges which is part of MICCAI-2017 
  Access Paper or Ask Questions

Deep Neural Network with l2-norm Unit for Brain Lesions Detection


Aug 17, 2017
Mina Rezaei, Haojin Yang, Christoph Meinel

Figure 1 for Deep Neural Network with l2-norm Unit for Brain Lesions Detection
Figure 2 for Deep Neural Network with l2-norm Unit for Brain Lesions Detection
Figure 3 for Deep Neural Network with l2-norm Unit for Brain Lesions Detection
Figure 4 for Deep Neural Network with l2-norm Unit for Brain Lesions Detection
* Springer2017 
 * Accepted for presentation in ICONIP-2017 
  Access Paper or Ask Questions

Deep Learning for Medical Image Analysis


Aug 17, 2017
Mina Rezaei, Haojin Yang, Christoph Meinel

Figure 1 for Deep Learning for Medical Image Analysis
Figure 2 for Deep Learning for Medical Image Analysis
Figure 3 for Deep Learning for Medical Image Analysis
Figure 4 for Deep Learning for Medical Image Analysis
* Presented in doctoral consortium in the AIME-2017 conference 
  Access Paper or Ask Questions

Brain Abnormality Detection by Deep Convolutional Neural Network


Aug 17, 2017
Mina Rezaei, Haojin Yang, Christoph Meinel

Figure 1 for Brain Abnormality Detection by Deep Convolutional Neural Network
Figure 2 for Brain Abnormality Detection by Deep Convolutional Neural Network
Figure 3 for Brain Abnormality Detection by Deep Convolutional Neural Network
Figure 4 for Brain Abnormality Detection by Deep Convolutional Neural Network
* Accepted for presenting in ACM-womENcourage_2016 
  Access Paper or Ask Questions

Language Identification Using Deep Convolutional Recurrent Neural Networks


Aug 16, 2017
Christian Bartz, Tom Herold, Haojin Yang, Christoph Meinel

Figure 1 for Language Identification Using Deep Convolutional Recurrent Neural Networks
Figure 2 for Language Identification Using Deep Convolutional Recurrent Neural Networks
Figure 3 for Language Identification Using Deep Convolutional Recurrent Neural Networks
Figure 4 for Language Identification Using Deep Convolutional Recurrent Neural Networks
* to be presented at ICONIP 2017 
  Access Paper or Ask Questions

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


Jul 27, 2017
Christian Bartz, Haojin Yang, Christoph Meinel

Figure 1 for STN-OCR: A single Neural Network for Text Detection and Text Recognition
Figure 2 for STN-OCR: A single Neural Network for Text Detection and Text Recognition
Figure 3 for STN-OCR: A single Neural Network for Text Detection and Text Recognition
Figure 4 for STN-OCR: A single Neural Network for Text Detection and Text Recognition
* 9 pages, 6 figures 
  Access Paper or Ask Questions

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


May 27, 2017
Haojin Yang, Martin Fritzsche, Christian Bartz, Christoph Meinel

Figure 1 for BMXNet: An Open-Source Binary Neural Network Implementation Based on MXNet
Figure 2 for BMXNet: An Open-Source Binary Neural Network Implementation Based on MXNet
Figure 3 for BMXNet: An Open-Source Binary Neural Network Implementation Based on MXNet
Figure 4 for BMXNet: An Open-Source Binary Neural Network Implementation Based on MXNet
* 4 pages 
  Access Paper or Ask Questions

Image Captioning with Deep Bidirectional LSTMs


Jul 20, 2016
Cheng Wang, Haojin Yang, Christian Bartz, Christoph Meinel

Figure 1 for Image Captioning with Deep Bidirectional LSTMs
Figure 2 for Image Captioning with Deep Bidirectional LSTMs
Figure 3 for Image Captioning with Deep Bidirectional LSTMs
Figure 4 for Image Captioning with Deep Bidirectional LSTMs
* accepted by ACMMM 2016 as full paper and oral presentation 
  Access Paper or Ask Questions