Sebastian Ewert

Signal Processing · 2013–2019

A researcher in the Science corpus: 3 papers; trusts 25 researchers and is trusted by 34 researchers here, as inferred from the citation graph.

Subfields

• Signal Processing — 22 citations into it; #1,574 of 7,572 by trust here, #2,525 by citations
• Computer Vision and Pattern Recognition — 10 citations into it; #17,951 of 21,575 by trust here, #21,103 by citations
• Speech & Audio — 8 citations into it; #281 of 1,076 by trust here, #559 by citations
• Artificial Intelligence — 7 citations into it; #9,931 of 35,345 by trust here, #16,471 by citations

Whom Sebastian Ewert trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Udo Zölzer
2. Yi Luo
3. Emmanuel Vincent
4. Antoine Liutkus
5. Jonathan Le Roux
6. Daniel W. Griffin
7. Shrikant Venkataramani
8. Paris Smaragdis
9. Olaf Ronneberger
10. Santiago Pascual

Who trusts Sebastian Ewert overall

1. Bob L. Sturm
2. Brian McFee
3. Yongxin Yang
4. Matthias Mauch
5. Jordi Pons
6. Alexandre D'efossez
7. Craig Macartney
8. Jong Wook Kim
9. Simon Rouard
10. David Samuel

Papers from Sebastian Ewert's perspective

Ordered by how strongly the researchers Sebastian Ewert trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. GENERATIVE ADVERSARIAL NETS
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. WaveNet: A Generative Model for Raw Audio
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Wave-U-Net: A Multi-Scale Neural Network for End-to-End Audio Source Separation (2018) — 709 citations
• Automatic Music Transcription: An Overview (2019) — 295 citations
• The Audio Degradation Toolbox and Its Application to Robustness Evaluation (2013) — 85 citations