Audio set: An ontology and human-labeled dataset for audio events JF Gemmeke, DPW Ellis, D Freedman, A Jansen, W Lawrence, RC Moore, ... 2017 IEEE international conference on acoustics, speech and signal …, 2017 | 1586 | 2017 |
Self-supervised gans via auxiliary rotation loss T Chen, X Zhai, M Ritter, M Lucic, N Houlsby Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 202 | 2019 |
High-fidelity image generation with fewer labels M Lučić, M Tschannen, M Ritter, X Zhai, O Bachem, S Gelly International conference on machine learning, 4183-4192, 2019 | 114 | 2019 |
Self-supervised learning of video-induced visual invariances M Tschannen, J Djolonga, M Ritter, A Mahendran, N Houlsby, S Gelly, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 38 | 2020 |
Self-supervised generative adversarial networks T Chen, X Zhai, M Ritter, M Lucic, N Houlsby arXiv preprint arXiv:1811.11212 2, 2018 | 21 | 2018 |
Now playing: Continuous low-power music recognition BA y Arcas, B Gfeller, R Guo, K Kilgour, S Kumar, J Lyon, J Odell, M Ritter, ... arXiv preprint arXiv:1711.10958, 2017 | 15 | 2017 |
Continental-scale building detection from high resolution satellite imagery W Sirko, S Kashubin, M Ritter, A Annkah, YSE Bouchareb, Y Dauphin, ... arXiv preprint arXiv:2107.12283, 2021 | 14 | 2021 |
Now playing: Continuous low-power music recognition B Gfeller, R Guo, K Kilgour, S Kumar, J Lyon, J Odell, M Ritter, D Roblek, ... arXiv preprint arXiv:1711.10958, 2017 | 10 | 2017 |
Now playing: Continuous low-power music recognition B Gfeller, R Guo, K Kilgour, S Kumar, J Lyon, J Odell, M Ritter, D Roblek, ... arXiv preprint arXiv:1711.10958, 2017 | 10 | 2017 |
Representation learning from videos in-the-wild: An object-centric approach R Romijnders, A Mahendran, M Tschannen, J Djolonga, M Ritter, ... Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021 | 4 | 2021 |
Identifying music as a particular song D Roblek, BH Aguera-Arcas, TW Hume, MK Ritter, BC Barbello, KI Kilgour, ... US Patent 10,761,802, 2020 | 4 | 2020 |
Training deep neural networks for reverberation robust speech recognition M Ritter, M Müller, S Stüker, F Metze, A Waibel Speech Communication; 12. ITG Symposium, 1-5, 2016 | 4 | 2016 |
Determining that audio includes music and then identifying the music as a particular song D Roblek, BH Aguera-Arcas, TW Hume, MK Ritter, BC Barbello, KI Kilgour, ... US Patent 10,809,968, 2020 | 3 | 2020 |
Neural Network Architectures for Reverberated Lecture Speech Recognition M Ritter Informatics Institute, 2016 | 1 | 2016 |
Determining that audio includes music and then identifying the music as a particular song D Roblek, BH Aguera-Arcas, TW Hume, MK Ritter, BC Barbello, KI Kilgour, ... US Patent 11,256,472, 2022 | | 2022 |
用更少的标签生成高保真的图像 M Lucic, M Tschannen, M Ritter, X Zhai, O Bachem, S Gelly arXiv preprint arXiv:1903.02271, 2019 | | 2019 |
Robust Speech Recognition for Reverberated Environments M Ritter, M Müller, S Stüker, F Metze, A Waibel ACE 3 (7), 14, 0 | | |