Joseph Bethge

According to our database, Joseph Bethge authored at least 20 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Towards Optimization-Friendly Binary Neural Network.

Nianhui Guo, Joseph Bethge, Hong Guo, Christoph Meinel, Haojin Yang

Trans. Mach. Learn. Res., 2023

2022

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

Nianhui Guo, Joseph Bethge, Christoph Meinel, Haojin Yang

CoRR, 2022

2021

Synthesis in Style: Semantic Segmentation of Historical Documents using Synthetic Data.

Christian Bartz, Hendrik Rätz, Haojin Yang, Joseph Bethge, Christoph Meinel

CoRR, 2021

BoolNet: Minimizing The Energy Consumption of Binary Neural Networks.

Nianhui Guo, Joseph Bethge, Haojin Yang, Kai Zhong, Xuefei Ning, Christoph Meinel, Yu Wang

CoRR, 2021

MeliusNet: An Improved Network Architecture for Binary Neural Networks.

Joseph Bethge, Christian Bartz, Haojin Yang, Ying Chen, Christoph Meinel

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Algorithmic Improvements on Hilbert and Moore Treemaps for Visualization of Large Tree-structured Datasets.

Willy Scheibel, Christopher Weyand, Joseph Bethge, Jürgen Döllner

Proceedings of the 21st Eurographics Conference on Visualization, 2021

TransPipe: A Pipeline for Automated Transcription and Translation of Videos.

Joseph Bethge, Sebastian Serth, Thomas Staubitz, Tobias Wuttke, Oliver Nordemann, Partha Pratim Das, Christoph Meinel

Proceedings of the 7th European MOOCs Stakeholders Summit, 2021

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

Christian Bartz, Joseph Bethge, Haojin Yang, Christoph Meinel

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

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

Joseph Bethge, Christian Bartz, Haojin Yang, Ying Chen, Christoph Meinel

CoRR, 2020

BMXNet 2: An Open Source Framework for Low-bit Networks - Reproducing, Understanding, Designing and Showcasing.

Joseph Bethge, Christian Bartz, Haojin Yang, Christoph Meinel

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Synthetic Data for the Analysis of Archival Documents: Handwriting Determination.

Christian Bartz, Laurenz Seidel, Duy-Hung Nguyen, Joseph Bethge, Haojin Yang, Christoph Meinel

Proceedings of the Digital Image Computing: Techniques and Applications, 2020

2019

KISS: Keeping It Simple for Scene Text Recognition.

Christian Bartz, Joseph Bethge, Haojin Yang, Christoph Meinel

CoRR, 2019

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

Joseph Bethge, Haojin Yang, Marvin Bornstein, Christoph Meinel

CoRR, 2019

Training Accurate Binary Neural Networks from Scratch.

Joseph Bethge, Haojin Yang, Christoph Meinel

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

BinaryDenseNet: Developing an Architecture for Binary Neural Networks.

Joseph Bethge, Haojin Yang, Marvin Bornstein, Christoph Meinel

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018

Training Competitive Binary Neural Networks from Scratch.

Joseph Bethge, Marvin Bornstein, Adrian Loy, Haojin Yang, Christoph Meinel

CoRR, 2018

Learning to Train a Binary Neural Network.

Joseph Bethge, Haojin Yang, Christian Bartz, Christoph Meinel

CoRR, 2018

LoANs: Weakly Supervised Object Detection with Localizer Assessor Networks.

Christian Bartz, Haojin Yang, Joseph Bethge, Christoph Meinel

Proceedings of the Computer Vision - ACCV 2018 Workshops, 2018

2017

Improving Layout Quality by Mixing Treemap-Layouts Based on Data-Change Characteristics.

Joseph Bethge, Sebastian Hahn, Jürgen Döllner

Proceedings of the 22nd International Symposium on Vision, Modeling, and Visualization, 2017

Relative Direction Change - A Topology-based Metric for Layout Stability in Treemaps.

Sebastian Hahn, Joseph Bethge, Jürgen Döllner

Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 3: IVAPP, Porto, Portugal, February 27, 2017