Christian Rohlfing Publications
T. Meyer, D. Mehlem, and C. Rohlfing, “Adaptive entropy coding of graph transform coefficients for point cloud attribute compression,” in Visual Communications and Image Processing VCIP '23, (Jeju, South Korea), IEEE, Piscataway, Dec. 2023. [ bib | DOI | .pdf ]
C. Rohlfing, T. Meyer, J. Schneider, and J. Voges, “Python wrapper for context-based adaptive binary arithmetic coding,” in Visual Communications and Image Processing VCIP '23, (Jeju, South Korea), IEEE, Piscataway, Dec. 2023. [ bib | DOI | .pdf ]
Y. Gunawan Adhisantoso, J. Voges, C. Rohlfing, V. Tunev, J.-R. Ohm, and J. Ostermann, “GVC: Efficient random access compression for gene sequence variations,” in BMC Bioinformatics, vol. 24, Mar. 2023. [ bib | DOI | .pdf ]
T. Meyer, M. Meyer, D. Mehlem, and C. Rohlfing, “Attribute-aware partitioning for graph-based point cloud attribute coding,” in Proc. of International Picture Coding Symposium PCS '22, (San Jose, USA), pp. 121–125, IEEE, Piscataway, Dec. 2022. [ bib | DOI | .pdf ]
A. Jose, D. Filbert, C. Rohlfing, and J.-R. Ohm, “Deep hashing with hash center update for efficient image retrieval,” in Proc. of IEEE International Conference on Acoustics, Speech and Signal Processing ICASSP '22, pp. 4773 – 4777, IEEE, Piscataway, May 2022. [ bib | DOI ]
A. Jose, E. S. Ottlik, C. Rohlfing, and J.-R. Ohm, “Optimized feature space learning for generating efficient binary codes for image retrieval,” Signal Processing: Image Communication, vol. 100, p. 116529, Jan. 2022. [ bib | DOI ]
J. Schneider and C. Rohlfing, “Dictionary learning-based reference picture resampling in VVC,” in Visual Communications and Image Processing VCIP '21, (Munich), IEEE, Piscataway, Dec. 2021. [ bib | .pdf ]
H. B. Golestani, J. Sauer, C. Rohlfing, and J.-R. Ohm, “3D Geometry-based Global Motion Compensation for VVC,” in IEEE International Conference on Image Processing (ICIP), (Anchorage-Alaska, US), IEEE, Piscataway, Sept. 2021. [ bib ]
J. Schneider, D. Mehlem, M. Meyer, and C. Rohlfing, “Sparse Coding-based Intra Prediction in VVC,” in Picture Coding Symposium (PCS'21), (Bristol, UK), IEEE, Piscataway, June 2021. [ bib | .pdf ]
M. Meyer, J. Wiesner, and C. Rohlfing, “Optimized convolutional neural networks for video intra prediction,” in Proc. of IEEE International Conference on Image Processing ICIP '20, IEEE, Piscataway, Oct. 2020. [ bib | more… | .pdf ]
J. Schneider, J. Sauer, and C. Rohlfing, “Adaptive Resolution Change using Uncoded Areas and Dictionary Learning-based Super-Resolution in Versatile Video Coding,” in Proc. of IEEE International Conference on Acoustics, Speech and Signal Processing ICASSP '20, (Barcelona, Spain), pp. 2203–2207, IEEE, Piscataway, May 2020. [ bib | DOI | .pdf ]
H. B. Golestani, C. Rohlfing, and J.-R. Ohm, “Reference Picture Synthesis for Video Sequences Captured with a Monocular Moving Camera,” in IEEE International Conference on Visual Communications and Image Processing (VCIP), (Sydney, AUSTRALIA), IEEE, Piscataway, Dec. 2019. [ bib | more… | https ]
M. Bläser, H. Gao, S. Esenlik, E. Alshina, Z. Zhao, C. Rohlfing, and E. Steinbach, “Low-Complexity Geometric Inter-Prediction for Versatile Video Coding,” in Proc. of International Picture Coding Symposium PCS '19, IEEE, Piscataway, Nov. 2019. [ bib ]
M. Meyer, J. Wiesner, J. Schneider, and C. Rohlfing, “Convolutional neural networks for video intra prediction using cross-component adaptation,” in Proc. of IEEE International Conference on Acoustics, Speech and Signal Processing ICASSP '19, pp. 1607–1611, IEEE, Piscataway, May 2019. [ bib | more… | .pdf ]
C. Rohlfing, Low-bit-rate informed source separation using decoder NTF and efficient parameter coding, vol. 18 of Aachen Series on Multimedia and Communications Engineering. Aachen: Shaker Verlag, July 2018. [ bib | DOI | .pdf ]
A. Liutkus, C. Rohlfing, and A. Deleforge, “Audio source separation with magnitude priors: the BEADS model,” in Proc. of IEEE International Conference on Acoustics, Speech and Signal Processing ICASSP '18, pp. 56–60, IEEE, Piscataway, Apr. 2018. [ bib | DOI | more… | .pdf ]
M. Bläser, C. Rohlfing, Y. Gao, and M. Wien, “Adaptive coding of non-negative factorization parameters with application to informed source separation,” in Proc. of IEEE International Conference on Acoustics, Speech and Signal Processing ICASSP '18, pp. 751–755, IEEE, Piscataway, Apr. 2018. [ bib | DOI | more… | .pdf ]
C. Rohlfing, J. E.Cohen, and A. Liutkus, “Very low bitrate spatial audio coding with dimensionality reduction,” in Proc. of IEEE International Conference on Acoustics, Speech and Signal Processing ICASSP '17, pp. 741–745, IEEE, Piscataway, Mar. 2017. [ bib | DOI | more… | .pdf ]
C. Rohlfing, A. Liutkus, and J. Becker, “Quantization-aware parameter estimation for audio upmixing,” in Proc. of IEEE International Conference on Acoustics, Speech and Signal Processing ICASSP '17, pp. 746–750, IEEE, Piscataway, Mar. 2017. [ bib | DOI | more… | .pdf ]
C. Rohlfing and J. Becker, “Generalized constraints for NMF with application to informed source separation,” in Proc. of European Signal Processing Conference EUSIPCO '16, pp. 597–601, IEEE, Piscataway, Aug. 2016. [ bib | DOI | more… | .pdf ]
C. Rohlfing, J. Becker, and M. Wien, “NMF-based informed source separation,” in Proc. of IEEE International Conference on Acoustics, Speech and Signal Processing ICASSP '16, pp. 474–478, IEEE, Piscataway, Mar. 2016. [ bib | DOI | more… | .pdf ]
C. Rohlfing and J. Becker, “Extended semantic initialization for NMF-based audio source separation,” in Proc. of IEEE International Workshop on Intelligent Signal Processing and Communication Systems ISPACS '15, (Nusa Dua, Bali, Indonesia), pp. 95–100, IEEE, Piscataway, Nov. 2015. [ bib | DOI | .pdf ]
J. Becker, M. Rohbeck, and C. Rohlfing, “Adaptive weights for NMF with additional priors,” in Proc. of IEEE International Workshop on Intelligent Signal Processing and Communication Systems ISPACS '15, (Nusa Dua, Bali, Indonesia), IEEE, Piscataway, Nov. 2015. [ bib | DOI | .pdf ]
J. Becker and C. Rohlfing, “Component-adaptive priors for NMF,” in Latent Variable Analysis and Signal Separation, Springer, Heidelberg/Berlin, Aug. 2015. [ bib | .pdf ]
J. Becker, M. Menzel, and C. Rohlfing, “Complex SVD initialization for NMF source separation on audio spectrograms,” in Fortschritte der Akustik DAGA '15, (Nürnberg, Germany), Mar. 2015. [ bib | .pdf ]
J. Becker, C. Sohn, and C. Rohlfing, “NMF with spectral and temporal continuity criteria for monaural sound source separation,” in Proc. of European Signal Processing Conference EUSIPCO '14, (Lisbon, Portugal), IEEE, Piscataway, Sept. 2014. [ bib | .pdf ]
J. Becker and C. Rohlfing, “Custom sized non-negative matrix factor deconvolution for sound source separation,” in Proc. of IEEE International Conference on Acoustics, Speech and Signal Processing ICASSP '14, (Florence, Italy), IEEE, Piscataway, May 2014. [ bib | DOI | .pdf ]
C. Rohlfing and J. Becker, “Generalized cepstral features for clustering in blind audio source separation,” in Fortschritte der Akustik DAGA '14, (Düsseldorf, Germany), Mar. 2014. [ bib | .pdf ]
J. Becker and C. Rohlfing, “A segmental spectral flatness measure for harmonic-percussive discrimination,” in Proc. of International Student Conference on Electrical Engineering POSTER '13, (Prague, Czech Republic), May 2013. [ bib | .pdf ]
C. Rohlfing, H. Krüger, and P. Vary, “Logarithmic cubic vector quantization: Concept and analysis,” in Proc. of International Symposium on Information Theory and its Applications (ISITA), (Honolulu, USA), pp. 294–298, IEEE, Piscataway, Oct. 2012. [ bib | .pdf ]
C. Rohlfing, H. Krüger, and P. Vary, “Logarithmic cubic vector quantization,” in Proc. of ITG-Fachtagung Sprachkommunikation, (Braunschweig, Germany), pp. 203–206, IEEE, Piscataway, Sept. 2012. [ bib | .pdf ]
C. Rohlfing, M. Spiertz, and V. Gnann, “Score-informed sparseness for source separation,” in Fortschritte der Akustik DAGA '11, (Düsseldorf, Germany), Mar. 2011. [ bib | .pdf ]
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