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Jonathan Pfaff

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Journal Articles

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2024
[j8]
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Philipp Merkle, Martin Winken, Jonathan Pfaff, Heiko Schwarz, Detlev Marpe, Thomas Wiegand:
Spatio-Temporal Convolutional Neural Network for Enhanced Inter Prediction in Video Coding. IEEE Trans. Image Process. 33: 4738-4752 (2024)
2023
[j7]
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Johannes Erfurt, Wang-Q Lim, Jonathan Pfaff, Heiko Schwarz, Detlev Marpe, Thomas Wiegand:
Shearlet-based intensity classification loop filter for video coding. Signal Process. Image Commun. 115: 116967 (2023)
[j6]
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  - journals/tip/VenugopalMPSMW23
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Gayathri Venugopal, Karsten Müller, Jonathan Pfaff, Heiko Schwarz, Detlev Marpe, Thomas Wiegand:
Region-Based Template Matching Prediction for Intra Coding. IEEE Trans. Image Process. 32: 779-790 (2023)
2021
[j5]
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Michael Schäfer, Sophie Pientka, Jonathan Pfaff, Heiko Schwarz, Detlev Marpe, Thomas Wiegand:
Rate-Distortion Optimized Encoding for Deep Image Compression. IEEE Open J. Circuits Syst. 2: 633-647 (2021)
[j4]
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Jonathan Pfaff, Alexey Filippov, Shan Liu, Xin Zhao, Jianle Chen, Santiago De-Luxán-Hernández, Thomas Wiegand, Vasily Rufitskiy, Adarsh K. Ramasubramonian, Geert Van Der Auwera:
Intra Prediction and Mode Coding in VVC. IEEE Trans. Circuits Syst. Video Technol. 31(10): 3834-3847 (2021)
2020
[j3]
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Jennifer Rasch, Jonathan Pfaff, Michael Schäfer, Anastasia Henkel, Heiko Schwarz, Detlev Marpe, Thomas Wiegand:
A signal adaptive diffusion filter for video coding: Mathematical framework and complexity reductions. Signal Process. Image Commun. 85: 115861 (2020)
[j2]
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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:
Video Compression Using Generalized Binary Partitioning, Trellis Coded Quantization, Perceptually Optimized Encoding, and Advanced Prediction and Transform Coding. IEEE Trans. Circuits Syst. Video Technol. 30(5): 1281-1295 (2020)
[j1]
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Jennifer Rasch, Victor Warno, Jonathan Pfaff, Caren Tischendorf, Detlev Marpe, Heiko Schwarz, Thomas Wiegand:
A Signal Adaptive Prediction Filter for Video Coding Using Directional Total Variation: Mathematical Framework and Parameter Selection. IEEE Trans. Image Process. 29: 9678-9688 (2020)

Conference and Workshop Papers

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2024
[c24]
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Michael Schäfer, Jonathan Pfaff, Heiko Schwarz, Detlev Marpe, Thomas Wiegand:
Nonlinear Transform Coding for VVC Intra Coding. PCS 2024: 1-5
[c23]
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Wang-Q Lim, Björn Stallenberger, Jonathan Pfaff, Heiko Schwarz, Detlev Marpe, Thomas Wiegand:
Simplified CNN In-Loop Filter with fixed Classifications. PCS 2024: 1-5
[c22]
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Sophie Pientka, Jonathan Pfaff, Heiko Schwarz, Detlev Marpe, Thomas Wiegand:
Deep Video Compression with Conditional Feature Coding. PCS 2024: 1-5
2023
[c21]
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  - conf/dcc/KirchhofferRSPSMW23
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Heiner Kirchhoffer, Christian Rudat, Michael Schäfer, Jonathan Pfaff, Heiko Schwarz, Detlev Marpe, Thomas Wiegand:
A Study on Data-Driven Probability Estimator Design for Video Coding. DCC 2023: 346
[c20]
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Paul Haase, Jonathan Pfaff, Heiko Schwarz, Detlev Marpe, Thomas Wiegand:
Bitrate-Performance Optimized Model Training for the Neural Network Coding (NNC) Standard. ICIP 2023: 3245-3249
[c19]
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Sophie Pientka, Michael Schäfer, Jonathan Pfaff, Heiko Schwarz, Detlev Marpe, Thomas Wiegand:
Block-Based Motion Estimation for Deep-Learned Video Coding. ICIP 2023: 3444-3448
2022
[c18]
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Philipp Merkle, Martin Winken, Jonathan Pfaff, Heiko Schwarz, Detlev Marpe, Thomas Wiegand:
Intra-Inter Prediction for Versatile Video Coding Using a Residual Convolutional Neural Network. ICIP 2022: 1711-1715
[c17]
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Wang-Q Lim, Jonathan Pfaff, Björn Stallenberger, Johannes Erfurt, Heiko Schwarz, Detlev Marpe, Thomas Wiegand:
Adaptive Loop Filter with a CNN-Based Classification. ICIP 2022: 1836-1840
[c16]
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Karsten Sühring, Michael Schäfer, Jonathan Pfaff, Heiko Schwarz, Detlev Marpe, Thomas Wiegand:
Trellis-Coded Quantization for End-to-End Learned Image Compression. ICIP 2022: 3306-3310
[c15]
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Gerhard Tech, Paul Haase, Daniel Becking, Heiner Kirchhoffer, Karsten Müller, Jonathan Pfaff, Heiko Schwarz, Wojciech Samek, Detlev Marpe, Thomas Wiegand:
History Dependent Significance Coding for Incremental Neural Network Compression. ICIP 2022: 3541-3545
[c14]
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Wang-Q Lim, Björn Stallenberger, Jonathan Pfaff, Heiko Schwarz, Detlev Marpe, Thomas Wiegand:
Performance-Complexity Analysis of Adaptive Loop Filter with a CNN-based Classification. PCS 2022: 91-95
[c13]
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Sophie Pientka, Michael Schäfer, Jonathan Pfaff, Heiko Schwarz, Detlev Marpe, Thomas Wiegand:
Deep video coding with gradient-descent optimized motion compensation and Lanczos filtering. PCS 2022: 169-173
2021
[c12]
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  - conf/dcc/TechPSHWMW21
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Gerhard Tech, Jonathan Pfaff, Heiko Schwarz, Philipp Helle, Adam Wieckowski, Detlev Marpe, Thomas Wiegand:
Fast Partitioning for VVC Intra-Picture Encoding with a CNN Minimizing the Rate-Distortion-Time Cost. DCC 2021: 3-12
[c11]
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Gerhard Tech, Jonathan Pfaff, Heiko Schwarz, Philipp Helle, Adam Wieckowski, Detlev Marpe, Thomas Wiegand:
CNN-based parameter selection for fast VVC intra-picture encoding. ICIP 2021: 2109-2113
[c10]
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Michael Schäfer, Sophie Pientka, Jonathan Pfaff, Heiko Schwarz, Detlev Marpe, Thomas Wiegand:
Rate-Distortion-Optimization for Deep Image Compression. ICIP 2021: 3737-3741
[c9]
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  - conf/pcs/Stallenberger0M21
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Björn Stallenberger, Michael Schäfer, Philipp Merkle, Jonathan Pfaff, Heiko Schwarz, Detlev Marpe, Thomas Wiegand:
Extension of Matrix-Based Intra Prediction to 4: 4: 4 Chroma Formats. PCS 2021: 1-5
[c8]
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Gerhard Tech, Jonathan Pfaff, Heiko Schwarz, Philipp Helle, Adam Wieckowski, Detlev Marpe, Thomas Wiegand:
Rate-Distortion-Time Cost Aware CNN Training for Fast VVC Intra-Picture Partitioning Decisions. PCS 2021: 1-5
2020
[c7]
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Michael Schäfer, Björn Stallenberger, Jonathan Pfaff, Philipp Helle, Heiko Schwarz, Detlev Marpe, Thomas Wiegand:
Efficient Fixed-Point Implementation Of Matrix-Based Intra Prediction. ICIP 2020: 3364-3368
2019
[c6]
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  - conf/dcc/HellePSRSMW19
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Philipp Helle, Jonathan Pfaff, Michael Schäfer, Roman Rischke, Heiko Schwarz, Detlev Marpe, Thomas Wiegand:
Intra Picture Prediction for Video Coding with Neural Networks. DCC 2019: 448-457
[c5]
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Michael Schäfer, Björn Stallenberger, Jonathan Pfaff, Philipp Helle, Heiko Schwarz, Detlev Marpe, Thomas Wiegand:
An Affine-Linear Intra Prediction With Complexity Constraints. ICIP 2019: 1089-1093
[c4]
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Jennifer Rasch, Jonathan Pfaff, Heiko Schwarz, Detlev Marpe, Thomas Wiegand:
Comparison between the Diffusion and the ADMM Filter and Combined Results. PCS 2019: 1-5
[c3]
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Michael Schäfer, Björn Stallenberger, Jonathan Pfaff, Philipp Helle, Heiko Schwarz, Detlev Marpe, Thomas Wiegand:
A Data-Trained, Affine-Linear Intra-Picture Prediction in the Frequency Domain. PCS 2019: 1-5
2018
[c2]
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Michael Schäfer, Jonathan Pfaff, Jennifer Rasch, Tobias Hinz, Heiko Schwarz, Tung Nguyen, Gerhard Tech, Detlev Marpe, Thomas Wiegand:
Improved Prediction Via Thresholding Transform Coefficients. ICIP 2018: 2546-2549
[c1]
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Jennifer Rasch, Jonathan Pfaff, Michael Schäfer, Heiko Schwarz, Martin Winken, Mischa Siekmann, Detlev Marpe, Thomas Wiegand:
A Signal Adaptive Diffusion Filter For Video Coding. PCS 2018: 131-133

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