Logarithmic Cubic Vector Quantization. - Christian Rohlfing; Hauke Krüger; Peter Vary (ITG Conference on Speech Communication, 2012)

Logarithmic Cubic Vector Quantization: Concept and analysis. - Christian Rohlfing; Hauke Krüger; Peter Vary (ISITA, 2012)

NMF with spectral and temporal continuity criteria for monaural sound source separation. - Julian Mathias Becker; Christian Sohn; Christian Rohlfing (EUSIPCO, 2014)

Custom sized non-negative matrix factor deconvolution for sound source separation. - Julian Mathias Becker; Christian Rohlfing (ICASSP, 2014)

Component-Adaptive Priors for NMF. - Julian Mathias Becker; Christian Rohlfing (LVA/ICA, 2015)

Adaptive weights for NMF with additional priors. - Julian Mathias Becker; Martin Rohbeck; Christian Rohlfing (ISPACS, 2015)

Extended semantic initialization for NMF-based audio source separation. - Christian Rohlfing; Julian Mathias Becker (ISPACS, 2015)

Generalized constraints for NMF with application to informed source separation. - Christian Rohlfing; Julian Mathias Becker (EUSIPCO, 2016)

NMF-based informed source separation. - Christian Rohlfing; Julian Mathias Becker; Mathias Wien (ICASSP, 2016)

Very low bitrate spatial audio coding with dimensionality reduction. - Christian Rohlfing; Jeremy E. Cohen; Antoine Liutkus (ICASSP, 2017)

Quantization-aware parameter estimation for audio upmixing. - Christian Rohlfing; Antoine Liutkus; Julian Mathias Becker (ICASSP, 2017)

Adaptive Coding of Non-Negative Factorization Parameters with Application to Informed Source Separation. - Max Bläser; Christian Rohlfing; Yingbo Gao; Mathias Wien (ICASSP, 2018)

Audio Source Separation with Magnitude Priors: The Beads Model. - Antoine Liutkus; Christian Rohlfing; Antoine Deleforge (ICASSP, 2018)

Convolutional Neural Networks for Video Intra Prediction Using Cross-component Adaptation. - Maria Meyer; Jonathan Wiesner; Jens Schneider 001; Christian Rohlfing (ICASSP, 2019)

Low-Complexity Geometric Inter-Prediction for Versatile Video Coding. - Max Bläser; Han Gao 001; Semih Esenlik; Elena Alshina; Zhijie Zhao; Christian Rohlfing; Eckehard G. Steinbach (PCS, 2019)

Reference Picture Synthesis for Video Sequences Captured with a Monocular Moving Camera. - Hossein Bakhshi Golestani; Christian Rohlfing; Jens-Rainer Ohm (VCIP, 2019)

Adaptive Resolution Change Using Uncoded Areas and Dictionary Learning-Based Super-Resolution in Versatile Video Coding. - Jens Schneider 001; Johannes Sauer; Christian Rohlfing (ICASSP, 2020)

Optimized Convolutional Neural Networks for Video Intra Prediction. - Maria Meyer; Jonathan Wiesner; Christian Rohlfing (ICIP, 2020)

3D Geometry-Based Global Motion Compensation For VVC. - Hossein Bakhshi Golestani; Johannes Sauer; Christian Rohlfing; Jens-Rainer Ohm (ICIP, 2021)

Sparse Coding-based Intra Prediction in VVC. - Jens Schneider 001; Dominik Mehlem; Maria Meyer; Christian Rohlfing (PCS, 2021)

Dictionary Learning-based Reference Picture Resampling in VVC. - Jens Schneider 001; Christian Rohlfing (VCIP, 2021)

Deep Hashing with Hash Center Update for Efficient Image Retrieval. - Abin Jose; Daniel Filbert; Christian Rohlfing; Jens-Rainer Ohm (ICASSP, 2022)

Attribute-aware Partitioning for Graph-based Point Cloud Attribute Coding. - Thibaut Meyer; Maria Meyer; Dominik Mehlem; Christian Rohlfing (PCS, 2022)

Optimized feature space learning for generating efficient binary codes for image retrieval. - Abin Jose; Erik Stefan Ottlik; Christian Rohlfing; Jens-Rainer Ohm (Signal Process. Image Commun., 2022)

Adaptive Entropy Coding of Graph Transform Coefficients for Point Cloud Attribute Compression. - Thibaut Meyer; Dominik Mehlem; Christian Rohlfing (VCIP, 2023)

Python Wrapper for Context-based Adaptive Binary Arithmetic Coding. - Christian Rohlfing; Thibaut Meyer; Jens Schneider 001; Jan Voges (VCIP, 2023)

GVC: efficient random access compression for gene sequence variations. - Yeremia Gunawan Adhisantoso; Jan Voges; Christian Rohlfing; Viktor Tunev; Jens-Rainer Ohm; Jörn Ostermann (BMC Bioinform., 2023)