| Adversarial Generation of Time-Frequency Features with application in audio synthesis A Marafioti, N Holighaus, N Perraudin, P Majdak International Conference on Machine Learning 2019, 2019 | 89 | 2019 |
| A context encoder for audio inpainting A Marafioti, N Perraudin, N Holighaus, P Majdak IEEE/ACM Transactions on Audio, Speech, and Language Processing 27 (12 …, 2019 | 82 | 2019 |
| GACELA: A generative adversarial context encoder for long audio inpainting of music A Marafioti, P Majdak, N Holighaus, N Perraudin IEEE Journal of Selected Topics in Signal Processing 15 (1), 120-131, 2020 | 52 | 2020 |
| Audio Inpainting of Music by Means of Neural Networks A Marafioti, N Holighaus, P Majdak, N Perraudin Audio Engineering Society Convention 146, 2019 | 23 | 2019 |
| CataNet: Predicting remaining cataract surgery duration A Marafioti, M Hayoz, M Gallardo, PM Neila, S Wolf, M Zinkernagel, ... MICCAI 2021, 2021 | 15 | 2021 |
| Time-frequency phase retrieval for audio—the effect of transform parameters A Marafioti, N Holighaus, P Majdak IEEE Transactions on Signal Processing 69, 3585-3596, 2021 | 11 | 2021 |
| Building and better understanding vision-language models: insights and future directions H Laurençon, A Marafioti, V Sanh, L Tronchon arXiv preprint arXiv:2408.12637, 2024 | 1 | 2024 |
| Predicting remaining duration of cataract surgeries A Marafioti, M Hayoz, M Gallardo, PM Neila, M Zinkernagel, S Wolf, ... | | |
| Time-Frequency analysis for neural synthesis of audio A Marafioti, N Holighaus, P Majdak, N Perraudin | | |
| ISSUE ON RECONSTRUCTION OF AUDIO FROM INCOMPLETE OR HIGHLY DEGRADED OBSERVATIONS P Rajmic, N Bertin, V Emiya, N Holighaus, A Ozerov, P Záviška, ... | | |
Piotr MajdakAcoustics Research Institute, Austrian Academy of Sciences在 majdak.com 的电子邮件经过验证
