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Joseph Bethge
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2020 – today
- 2023
- [j1]Nianhui Guo, Joseph Bethge, Hong Guo, Christoph Meinel, Haojin Yang:
Towards Optimization-Friendly Binary Neural Network. Trans. Mach. Learn. Res. 2023 (2023) - 2022
- [i10]Nianhui Guo, Joseph Bethge, Christoph Meinel, Haojin Yang:
Join the High Accuracy Club on ImageNet with A Binary Neural Network Ticket. CoRR abs/2211.12933 (2022) - 2021
- [c11]Christian Bartz, Joseph Bethge, Haojin Yang, Christoph Meinel:
One Model to Reconstruct Them All: A Novel Way to Use the Stochastic Noise in StyleGAN. BMVC 2021: 89 - [c10]Joseph Bethge, Sebastian Serth
, Thomas Staubitz, Tobias Wuttke, Oliver Nordemann, Partha Pratim Das, Christoph Meinel:
TransPipe: A Pipeline for Automated Transcription and Translation of Videos. EMOOCs 2021: 79-94 - [c9]Willy Scheibel
Algorithmic Improvements on Hilbert and Moore Treemaps for Visualization of Large Tree-structured Datasets. EuroVis (Short Papers) 2021: 115-119 - [c8]Joseph Bethge, Christian Bartz, Haojin Yang, Ying Chen, Christoph Meinel:
MeliusNet: An Improved Network Architecture for Binary Neural Networks. WACV 2021: 1438-1447 - [i9]Nianhui Guo, Joseph Bethge, Haojin Yang, Kai Zhong, Xuefei Ning, Christoph Meinel, Yu Wang:
BoolNet: Minimizing The Energy Consumption of Binary Neural Networks. CoRR abs/2106.06991 (2021) - [i8]Christian Bartz, Hendrik Rätz, Haojin Yang, Joseph Bethge, Christoph Meinel:
Synthesis in Style: Semantic Segmentation of Historical Documents using Synthetic Data. CoRR abs/2107.06777 (2021) - 2020
- [c7]Christian Bartz, Laurenz Seidel, Duy-Hung Nguyen, Joseph Bethge, Haojin Yang, Christoph Meinel:
Synthetic Data for the Analysis of Archival Documents: Handwriting Determination. DICTA 2020: 1-8 - [c6]Joseph Bethge, Christian Bartz, Haojin Yang, Christoph Meinel:
BMXNet 2: An Open Source Framework for Low-bit Networks - Reproducing, Understanding, Designing and Showcasing. ACM Multimedia 2020: 4469-4472 - [i7]Joseph Bethge, Christian Bartz, Haojin Yang, Ying Chen, Christoph Meinel:
MeliusNet: Can Binary Neural Networks Achieve MobileNet-level Accuracy? CoRR abs/2001.05936 (2020) - [i6]Christian Bartz, Joseph Bethge, Haojin Yang, Christoph Meinel:
One Model to Reconstruct Them All: A Novel Way to Use the Stochastic Noise in StyleGAN. CoRR abs/2010.11113 (2020)
2010 – 2019
- 2019
- [c5]Joseph Bethge, Haojin Yang, Marvin Bornstein, Christoph Meinel:
BinaryDenseNet: Developing an Architecture for Binary Neural Networks. ICCV Workshops 2019: 1951-1960 - [c4]Joseph Bethge, Haojin Yang, Christoph Meinel:
Training Accurate Binary Neural Networks from Scratch. ICIP 2019: 899-903 - [i5]Joseph Bethge, Haojin Yang, Marvin Bornstein, Christoph Meinel:
Back to Simplicity: How to Train Accurate BNNs from Scratch? CoRR abs/1906.08637 (2019) - [i4]Christian Bartz
KISS: Keeping It Simple for Scene Text Recognition. CoRR abs/1911.08400 (2019) - 2018
- [c3]Christian Bartz
LoANs: Weakly Supervised Object Detection with Localizer Assessor Networks. ACCV Workshops 2018: 341-356 - [i3]Joseph Bethge, Haojin Yang, Christian Bartz, Christoph Meinel:
Learning to Train a Binary Neural Network. CoRR abs/1809.10463 (2018) - [i2]Christian Bartz, Haojin Yang, Joseph Bethge, Christoph Meinel:
LoANs: Weakly Supervised Object Detection with Localizer Assessor Networks. CoRR abs/1811.05773 (2018) - [i1]Joseph Bethge, Marvin Bornstein, Adrian Loy, Haojin Yang, Christoph Meinel:
Training Competitive Binary Neural Networks from Scratch. CoRR abs/1812.01965 (2018) - 2017
- [c2]Sebastian Hahn, Joseph Bethge, Jürgen Döllner:
Relative Direction Change - A Topology-based Metric for Layout Stability in Treemaps. VISIGRAPP (3: IVAPP) 2017: 88-95 - [c1]Joseph Bethge, Sebastian Hahn, Jürgen Döllner:
Improving Layout Quality by Mixing Treemap-Layouts Based on Data-Change Characteristics. VMV 2017: 69-76
Coauthor Index
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