Israel Cohen
Computer Vision and Pattern Recognition · 2001–2019
A researcher in the Science corpus: 9 papers; trusts 112 researchers and is trusted by 56 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 26 citations into it; #9,811 of 21,575 by trust here, #18,782 by citations
- Artificial Intelligence — 22 citations into it
- Signal Processing — 21 citations into it; #284 of 7,572 by trust here, #1,370 by citations
- Computational Mechanics — 16 citations into it; #369 of 10,001 by trust here, #2,156 by citations
- Graph Learning — 7 citations into it
- Media Technology — 5 citations into it; #1,330 of 3,621 by trust here, #2,954 by citations
- Model Architectures — 5 citations into it
- Representation & Self-Supervised Learning — 5 citations into it
Whom Israel Cohen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Rainer Martin
- Baruch Berdugo
- Geoffrey E. Hinton
- Kaiming He
- Ronald R. Coifman
- John G. Proakis
- Vinod Nair
- Alex Krizhevsky
- Michael Elad
- Yoshua Bengio
Who trusts Israel Cohen overall
- Yong Xu
- Cassia Valentini-Botinhao
- Sundarrajan Rangachari
- Jun Du
- Dong Yu
- P. Loizou
- Timo Gerkmann
- Qiquan Zhang
- Junichi Yamagishi
- Y. Hu
Papers from Israel Cohen's perspective
Ordered by how strongly the researchers Israel Cohen trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Data-Driven Tree Transforms and Metrics (2017) — 23 citations
- An End-to-End Multimodal Voice Activity Detection Using WaveNet Encoder and Residual Networks (2019) — 62 citations
- Single-Channel Speech Presence Probability Estimation and Noise Tracking (2018) — 10 citations
- Generalized Tree-Based Wavelet Transform (2010) — 98 citations
- Noise Reduction in Speech Processing (2009) — 757 citations
- Multichannel Eigenspace Beamforming in a Reverberant Noisy Environment With Multiple Interfering Speech Signals (2009) — 298 citations
- Noise spectrum estimation in adverse environments: improved minima controlled recursive averaging (2003) — 986 citations
- Noise estimation by minima controlled recursive averaging for robust speech enhancement (2002) — 604 citations
- Speech enhancement for non-stationary noise environments (2001) — 545 citations