An Affine-Linear Intra Prediction With Complexity Constraints. - Michael Schäfer 003; Björn Stallenberger; Jonathan Pfaff; Philipp Helle; Heiko Schwarz; Detlev Marpe; Thomas Wiegand 001 (ICIP, 2019)

A Data-Trained, Affine-Linear Intra-Picture Prediction in the Frequency Domain. - Michael Schäfer 003; Björn Stallenberger; Jonathan Pfaff; Philipp Helle; Heiko Schwarz; Detlev Marpe; Thomas Wiegand 001 (PCS, 2019)

Efficient Fixed-Point Implementation Of Matrix-Based Intra Prediction. - Michael Schäfer 003; Björn Stallenberger; Jonathan Pfaff; Philipp Helle; Heiko Schwarz; Detlev Marpe; Thomas Wiegand 001 (ICIP, 2020)

Extension of Matrix-Based Intra Prediction to 4: 4: 4 Chroma Formats. - Björn Stallenberger; Michael Schäfer 003; Philipp Merkle; Jonathan Pfaff; Heiko Schwarz; Detlev Marpe; Thomas Wiegand 001 (PCS, 2021)

Adaptive Loop Filter with a CNN-Based Classification. - Wang-Q Lim; Jonathan Pfaff; Björn Stallenberger; Johannes Erfurt; Heiko Schwarz; Detlev Marpe; Thomas Wiegand 001 (ICIP, 2022)

Performance-Complexity Analysis of Adaptive Loop Filter with a CNN-based Classification. - Wang-Q Lim; Björn Stallenberger; Jonathan Pfaff; Heiko Schwarz; Detlev Marpe; Thomas Wiegand 001 (PCS, 2022)

Simplified CNN In-Loop Filter with fixed Classifications. - Wang-Q Lim; Björn Stallenberger; Jonathan Pfaff; Heiko Schwarz; Detlev Marpe; Thomas Wiegand 001 (PCS, 2024)