Enhanced Machine Learning-based Inter Coding for VVC. - Martin Benjak; Holger Meuel; Thorsten Laude; Jörn Ostermann (ICAIIC, 2021)

Neural Network-Based Error Concealment For VVC. - Martin Benjak; Yasser Samayoa; Jörn Ostermann (ICIP, 2021)

Neural Network-based Error Concealment for B-Frames in VVC. - Martin Benjak; Niklas Aust; Yasser Samayoa; Jörn Ostermann (ISCAS, 2022)

Learning-Based Scalable Video Coding with Spatial and Temporal Prediction. - Martin Benjak; Yi-Hsin Chen; Wen-Hsiao Peng; Jörn Ostermann (VCIP, 2023)

Rate Adaptation for Learned Two-layer B-frame Coding without Signaling Motion Information. - Hong-Sheng Xie; Yi-Hsin Chen; Wen-Hsiao Peng; Martin Benjak; Jörn Ostermann (VCIP, 2023)

On the Rate-Distortion-Complexity Trade-Offs of Neural Video Coding. - Yi-Hsin Chen; Kuan-Wei Ho; Martin Benjak; Jörn Ostermann; Wen-Hsiao Peng (MMSP, 2024)

MaskCRT: Masked Conditional Residual Transformer for Learned Video Compression. - Yi-Hsin Chen; Hong-Sheng Xie; Cheng-Wei Chen; Zong-Lin Gao; Martin Benjak; Wen-Hsiao Peng; Jörn Ostermann (IEEE Trans. Circuits Syst. Video Technol., 2024)

Exploration of Sequence-wise Optimized Parameters for Low Complexity Enhancement Video Coding (LCEVC) on 4K Content. - Martin Benjak; Jörn Ostermann (ICASSP, 2025)