no code implementations • 6 Oct 2021 • Alexey Ozerov, Anne Lambert, Suresh Kirthi Kumaraswamy
While inspired by slimmable networks allowing instant adaptation to resources on just one device, ParaDiS networks consist of several multi-device distributable configurations or switches that strongly share the parameters between them.
no code implementations • 18 May 2021 • Alexey Ozerov, Ngoc Duong
Deep neural networks (DNNs) have achieved great success in various machine learning tasks.
1 code implementation • 10 Feb 2021 • Ondřej Cífka, Alexey Ozerov, Umut Şimşekli, Gaël Richard
While several style conversion methods tailored to musical signals have been proposed, most lack the 'one-shot' capability of classical image style transfer algorithms.
1 code implementation • 15 Jul 2020 • Pavel Záviška, Pavel Rajmic, Alexey Ozerov, Lucas Rencker
Audio declipping algorithms often make assumptions about the underlying signal, such as sparsity or low-rankness, and about the measurement system.
no code implementations • 9 Nov 2018 • Sanjeel Parekh, Alexey Ozerov, Slim Essid, Ngoc Duong, Patrick Pérez, Gaël Richard
We tackle the problem of audiovisual scene analysis for weakly-labeled data.
no code implementations • 19 Apr 2018 • Sanjeel Parekh, Slim Essid, Alexey Ozerov, Ngoc Q. K. Duong, Patrick Pérez, Gaël Richard
Audio-visual representation learning is an important task from the perspective of designing machines with the ability to understand complex events.
1 code implementation • 31 Oct 2017 • Eric Grinstein, Ngoc Duong, Alexey Ozerov, Patrick Pérez
"Style transfer" among images has recently emerged as a very active research topic, fuelled by the power of convolution neural networks (CNNs), and has become fast a very popular technology in social media.
Sound Audio and Speech Processing Classical Physics