70 citations · 166 across the 6 of their papers we have counts for
7 papers
ParaDiS: Parallelly Distributable Slimmable Neural Networks
Alexey Ozerov, Anne Lambert, Suresh Kirthi Kumaraswamy
When several limited power devices are available, one of the most efficient ways to make profit of these resources, while reducing the processing latency and communication load, is…
Inplace knowledge distillation with teacher assistant for improved training of flexible deep neural networks
Alexey Ozerov, Ngoc Duong
Deep neural networks (DNNs) have achieved great success in various machine learning tasks. However, most existing powerful DNN models are computationally expensive and memory deman…
Self-Supervised VQ-VAE for One-Shot Music Style Transfer
Ondřej Cífka, Alexey Ozerov, Umut Şimşekli +1
Neural style transfer, allowing to apply the artistic style of one image to another, has become one of the most widely showcased computer vision applications shortly after its intr…
A survey and an extensive evaluation of popular audio declipping methods
Pavel Záviška, Pavel Rajmic, Alexey Ozerov +1
Dynamic range limitations in signal processing often lead to clipping, or saturation, in signals. The task of audio declipping is estimating the original audio signal, given its cl…
Identify, locate and separate: Audio-visual object extraction in large video collections using weak supervision
Sanjeel Parekh, Alexey Ozerov, Slim Essid +3
We tackle the problem of audiovisual scene analysis for weakly-labeled data. To this end, we build upon our previous audiovisual representation learning framework to perform object…
Weakly Supervised Representation Learning for Unsynchronized Audio-Visual Events
Sanjeel Parekh, Slim Essid, Alexey Ozerov +3
Audio-visual representation learning is an important task from the perspective of designing machines with the ability to understand complex events. To this end, we propose a novel…
Audio style transfer
Eric Grinstein, Ngoc Duong, Alexey Ozerov +1
'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 t…