Search Results for author: Maxime Burchi

Found 4 papers, 4 papers with code

Audio-Visual Efficient Conformer for Robust Speech Recognition

1 code implementation4 Jan 2023 Maxime Burchi, Radu Timofte

We improve previous lip reading methods using an Efficient Conformer back-end on top of a ResNet-18 visual front-end and by adding intermediate CTC losses between blocks.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +3

Swin2SR: SwinV2 Transformer for Compressed Image Super-Resolution and Restoration

2 code implementations22 Sep 2022 Marcos V. Conde, Ui-Jin Choi, Maxime Burchi, Radu Timofte

Using this method we can tackle the major issues in training transformer vision models, such as training instability, resolution gaps between pre-training and fine-tuning, and hunger on data.

Compressed Image Super-resolution Image Super-Resolution +1

Conformer and Blind Noisy Students for Improved Image Quality Assessment

1 code implementation27 Apr 2022 Marcos V. Conde, Maxime Burchi, Radu Timofte

Learning-based approaches for perceptual image quality assessment (IQA) usually require both the distorted and reference image for measuring the perceptual quality accurately.

Blind Image Quality Assessment Image Restoration +3

Efficient conformer: Progressive downsampling and grouped attention for automatic speech recognition

1 code implementation31 Aug 2021 Maxime Burchi, Valentin Vielzeuf

The recently proposed Conformer architecture has shown state-of-the-art performances in Automatic Speech Recognition by combining convolution with attention to model both local and global dependencies.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +2

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