Paul Haase

According to our database, Paul Haase authored at least 10 papers between 2019 and 2023.

Collaborative distances:

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

2023

Bitrate-Performance Optimized Model Training for the Neural Network Coding (NNC) Standard.

Paul Haase, Jonathan Pfaff, Heiko Schwarz, Detlev Marpe, Thomas Wiegand

Proceedings of the IEEE International Conference on Image Processing, 2023

2022

Overview of the Neural Network Compression and Representation (NNR) Standard.

Heiner Kirchhoffer, Paul Haase, Wojciech Samek, Karsten Müller, Hamed Rezazadegan Tavakoli, Francesco Cricri, Emre B. Aksu, Miska M. Hannuksela, Wei Jiang, Wei Wang, Shan Liu, Swayambhoo Jain, Shahab Hamidi-Rad, Fabien Racapé, Werner Bailer

IEEE Trans. Circuits Syst. Video Technol., 2022

History Dependent Significance Coding for Incremental Neural Network Compression.

Gerhard Tech, Paul Haase, Daniel Becking, Heiner Kirchhoffer, Karsten Müller, Jonathan Pfaff, Heiko Schwarz, Wojciech Samek, Detlev Marpe, Thomas Wiegand

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Adaptive Differential Filters for Fast and Communication-Efficient Federated Learning.

Daniel Becking, Heiner Kirchhoffer, Gerhard Tech, Paul Haase, Karsten Müller, Heiko Schwarz, Wojciech Samek

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

Encoder Optimizations For The NNR Standard On Neural Network Compression.

Paul Haase, Daniel Becking, Heiner Kirchhoffer, Karsten Müller, Heiko Schwarz, Wojciech Samek, Detlev Marpe, Thomas Wiegand

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2020

DeepCABAC: A Universal Compression Algorithm for Deep Neural Networks.

Simon Wiedemann, Heiner Kirchhoffer, Stefan Matlage, Paul Haase, Arturo Marbán, Talmaj Marinc, David Neumann, Tung Nguyen, Heiko Schwarz, Thomas Wiegand, Detlev Marpe, Wojciech Samek

IEEE J. Sel. Top. Signal Process., 2020

Dependent Scalar Quantization For Neural Network Compression.

Paul Haase, Heiko Schwarz, Heiner Kirchhoffer, Simon Wiedemann, Talmaj Marinc, Arturo Marbán, Karsten Müller, Wojciech Samek, Detlev Marpe, Thomas Wiegand

Proceedings of the IEEE International Conference on Image Processing, 2020

State-Based Multi-parameter Probability Estimation for Context-Based Adaptive Binary Arithmetic Coding.

Paul Haase, Stefan Matlage, Heiner Kirchhoffer, Christian Bartnik, Heiko Schwarz, Detlev Marpe, Thomas Wiegand

Proceedings of the Data Compression Conference, 2020

2019

DeepCABAC: A Universal Compression Algorithm for Deep Neural Networks.

Simon Wiedemann, Heiner Kirchhoffer, Stefan Matlage, Paul Haase, Arturo Marbán, Talmaj Marinc, David Neumann, Tung Nguyen, Ahmed Osman, Detlev Marpe, Heiko Schwarz, Thomas Wiegand, Wojciech Samek

CoRR, 2019

DeepCABAC: Context-adaptive binary arithmetic coding for deep neural network compression.

Simon Wiedemann, Heiner Kirchhoffer, Stefan Matlage, Paul Haase, Arturo Marbán, Talmaj Marinc, David Neumann, Ahmed Osman, Detlev Marpe, Heiko Schwarz, Thomas Wiegand, Wojciech Samek

CoRR, 2019