Michael Schäfer

According to our database, Michael Schäfer authored at least 15 papers between 2018 and 2023.

Collaborative distances:

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

2023

Block-Based Motion Estimation for Deep-Learned Video Coding.

Sophie Pientka, Michael Schäfer, Jonathan Pfaff, Heiko Schwarz, Detlev Marpe, Thomas Wiegand

Proceedings of the IEEE International Conference on Image Processing, 2023

A Study on Data-Driven Probability Estimator Design for Video Coding.

Heiner Kirchhoffer, Christian Rudat, Michael Schäfer, Jonathan Pfaff, Heiko Schwarz, Detlev Marpe, Thomas Wiegand

Proceedings of the Data Compression Conference, 2023

2022

Deep video coding with gradient-descent optimized motion compensation and Lanczos filtering.

Sophie Pientka, Michael Schäfer, Jonathan Pfaff, Heiko Schwarz, Detlev Marpe, Thomas Wiegand

Proceedings of the Picture Coding Symposium, 2022

Trellis-Coded Quantization for End-to-End Learned Image Compression.

Karsten Sühring, Michael Schäfer, Jonathan Pfaff, Heiko Schwarz, Detlev Marpe, Thomas Wiegand

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

2021

Rate-Distortion Optimized Encoding for Deep Image Compression.

Michael Schäfer, Sophie Pientka, Jonathan Pfaff, Heiko Schwarz, Detlev Marpe, Thomas Wiegand

IEEE Open J. Circuits Syst., 2021

Extension of Matrix-Based Intra Prediction to 4: 4: 4 Chroma Formats.

Björn Stallenberger, Michael Schäfer, Philipp Merkle, Jonathan Pfaff, Heiko Schwarz, Detlev Marpe, Thomas Wiegand

Proceedings of the Picture Coding Symposium, 2021

Rate-Distortion-Optimization for Deep Image Compression.

Michael Schäfer, Sophie Pientka, Jonathan Pfaff, Heiko Schwarz, Detlev Marpe, Thomas Wiegand

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

2020

Video Compression Using Generalized Binary Partitioning, Trellis Coded Quantization, Perceptually Optimized Encoding, and Advanced Prediction and Transform Coding.

Jonathan Pfaff, Heiko Schwarz, Detlev Marpe, Benjamin Bross, Santiago De-Luxán-Hernández, Philipp Helle, Christian R. Helmrich, Tobias Hinz, Wang-Q Lim, Jackie Ma, Tung Nguyen, Jennifer Rasch, Michael Schäfer, Mischa Siekmann, Gayathri Venugopal, Adam Wieckowski, Martin Winken, Thomas Wiegand

IEEE Trans. Circuits Syst. Video Technol., 2020

A signal adaptive diffusion filter for video coding: Mathematical framework and complexity reductions.

Jennifer Rasch, Jonathan Pfaff, Michael Schäfer, Anastasia Henkel, Heiko Schwarz, Detlev Marpe, Thomas Wiegand

Signal Process. Image Commun., 2020

Efficient Fixed-Point Implementation Of Matrix-Based Intra Prediction.

Michael Schäfer, Björn Stallenberger, Jonathan Pfaff, Philipp Helle, Heiko Schwarz, Detlev Marpe, Thomas Wiegand

Proceedings of the IEEE International Conference on Image Processing, 2020

2019

A Data-Trained, Affine-Linear Intra-Picture Prediction in the Frequency Domain.

Michael Schäfer, Björn Stallenberger, Jonathan Pfaff, Philipp Helle, Heiko Schwarz, Detlev Marpe, Thomas Wiegand

Proceedings of the Picture Coding Symposium, 2019

An Affine-Linear Intra Prediction With Complexity Constraints.

Michael Schäfer, Björn Stallenberger, Jonathan Pfaff, Philipp Helle, Heiko Schwarz, Detlev Marpe, Thomas Wiegand

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

Intra Picture Prediction for Video Coding with Neural Networks.

Philipp Helle, Jonathan Pfaff, Michael Schäfer, Roman Rischke, Heiko Schwarz, Detlev Marpe, Thomas Wiegand

Proceedings of the Data Compression Conference, 2019

2018

A Signal Adaptive Diffusion Filter For Video Coding.

Jennifer Rasch, Jonathan Pfaff, Michael Schäfer, Heiko Schwarz, Martin Winken, Mischa Siekmann, Detlev Marpe, Thomas Wiegand

Proceedings of the 2018 Picture Coding Symposium, 2018

Improved Prediction Via Thresholding Transform Coefficients.

Michael Schäfer, Jonathan Pfaff, Jennifer Rasch, Tobias Hinz, Heiko Schwarz, Tung Nguyen, Gerhard Tech, Detlev Marpe, Thomas Wiegand

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018