Hannes Gamper
Signal Processing · 2019–2023
A researcher in the Science corpus: 7 papers; trusts 19 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Signal Processing — 96 citations into it; #3,299 of 7,572 by trust here, #1,904 by citations
- Artificial Intelligence — 59 citations into it; #25,859 of 35,345 by trust here, #18,586 by citations
- Cognitive Neuroscience — 29 citations into it; #6,121 of 10,852 by trust here, #6,526 by citations
- Speech & Audio — 29 citations into it; #1,028 of 1,076 by trust here, #980 by citations
- Computational Mechanics — 19 citations into it
- Biomedical Engineering — 13 citations into it; #8,882 of 10,734 by trust here, #7,109 by citations
- Electrical and Electronic Engineering — 7 citations into it
Whom Hannes Gamper trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Tiago H. Falk
- Diederik P. Kingma
- Frank Torsten Bernd Seide
- Chandan K. A. Reddy
- Babak Naderi
- Ross Cutler
- G. Huang
- Jimmy Ba
- John H. L. Hansen
- Daniel Garcia-Romero
Who trusts Hannes Gamper overall
- Chandan K. A. Reddy
- Ross Cutler
- Vishak Gopal
- Michael Chinen
- Sefik Emre Eskimez
- Harishchandra Dubey
- Felicia S. C. Lim
- Babak Naderi
Papers from Hannes Gamper's perspective
Ordered by how strongly the researchers Hannes Gamper trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Deep Learning
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- ICASSP 2022 Acoustic Echo Cancellation Challenge (2022) — 81 citations
- Interspeech 2021 Deep Noise Suppression Challenge (2021) — 206 citations
- Icassp 2022 Deep Noise Suppression Challenge (2022) — 237 citations
- ICASSP 2023 Deep Noise Suppression Challenge (2023) — 193 citations
- ICASSP 2021 Deep Noise Suppression Challenge (2020) — 161 citations
- Intrusive and Non-Intrusive Perceptual Speech Quality Assessment Using a Convolutional Neural Network (2019) — 61 citations
- Non-intrusive Speech Quality Assessment Using Neural Networks (2019) — 114 citations