| Convolutional neural networks for video intra prediction using cross-component adaptation M Meyer, J Wiesner, J Schneider, C Rohlfing ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 18 | 2019 |
| Deep hashing with hash center update for efficient image retrieval A Jose, D Filbert, C Rohlfing, JR Ohm ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 14 | 2022 |
| NMF-based Informed Source Separation C Rohlfing, JM Becker, M Wien IEEE International Conference on Acoustics, Speech and Signal Processing …, 2016 | 14 | 2016 |
| Low-complexity geometric inter-prediction for versatile video coding M Bläser, H Gao, S Esenlik, E Alshina, Z Zhao, C Rohlfing, E Steinbach 2019 Picture Coding Symposium (PCS), 1-5, 2019 | 12 | 2019 |
| Very low bitrate spatial audio coding with dimensionality reduction C Rohlfing, J E.Cohen, A Liutkus IEEE International Conference on Acoustics, Speech and Signal Processing …, 2017 | 12 | 2017 |
| Complex SVD initialization for NMF source separation on audio spectrograms JM Becker, M Menzel, C Rohlfing Fortschritte der Akustik DAGA 15, 2015 | 10 | 2015 |
| NMF with spectral and temporal continuity criteria for monaural sound source separation JM Becker, C Sohn, C Rohlfing 2014 22nd European Signal Processing Conference (EUSIPCO), 316-320, 2014 | 9 | 2014 |
| Optimized feature space learning for generating efficient binary codes for image retrieval A Jose, ES Ottlik, C Rohlfing, JR Ohm Signal Processing: Image Communication 100, 116529, 2022 | 7 | 2022 |
| A segmental spectral flatness measure for harmonic-percussive discrimination J Becker, C Rohlfing Proceedings of International Student Conference on Electrical Engineering, 1-4, 2013 | 7 | 2013 |
| Audio source separation with magnitude priors: the BEADS model A Liutkus, C Rohlfing, A Deleforge 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 6 | 2018 |
| Generalized constraints for NMF with application to informed source separation C Rohlfing, JM Becker European Signal Processing Conference (EUSIPCO), 2016 | 6 | 2016 |
| Reference picture synthesis for video sequences captured with a monocular moving camera HB Golestani, C Rohlfing, JR Ohm 2019 IEEE Visual Communications and Image Processing (VCIP), 1-4, 2019 | 4 | 2019 |
| Logarithmic Cubic Vector Quantization: Concept and Analysis C Rohlfing, H Krüger, P Vary Information Theory and its Applications (ISITA), 2012 International …, 2012 | 4 | 2012 |
| Sparse coding-based intra prediction in VVC J Schneider, D Mehlem, M Meyer, C Rohlfing 2021 Picture Coding Symposium (PCS), 1-5, 2021 | 3 | 2021 |
| Adaptive resolution change Using Uncoded Areas and dictionary learning-based super-resolution in versatile video coding J Schneider, J Sauer, C Rohlfing ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 3 | 2020 |
| Adaptive coding of non-negative factorization parameters with application to informed source separation M Bläser, C Rohlfing, Y Gao, M Wien 43rd International Conference on Acoustics, Speech and Signal Processing …, 2018 | 3 | 2018 |
| Adaptive weights for NMF with additional priors JM Becker, M Rohbeck, C Rohlfing 2015 International Symposium on Intelligent Signal Processing and …, 2015 | 3 | 2015 |
| Extended Semantic Initialization for NMF-based Audio Source Separation C Rohlfing, J Becker IEEE International Workshop on Intelligent Signal Processing and …, 2015 | 3 | 2015 |
| Component-adaptive priors for NMF JM Becker, C Rohlfing Latent Variable Analysis and Signal Separation: 12th International …, 2015 | 3 | 2015 |
| Custom sized non-negative matrix factor deconvolution for sound source separation JM Becker, C Rohlfing 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 3 | 2014 |
Antoine LiutkusHudson River Trading, NYC, USAVerified email at inria.fr
