Tomer Peleg

Computer Vision and Pattern Recognition · 2013–2014

A researcher in the Science corpus: 2 papers; trusts 109 researchers and is trusted by 28 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 29 citations into it; #4,768 of 21,575 by trust here, #12,992 by citations
• Computational Mechanics — 17 citations into it
• Media Technology — 12 citations into it; #438 of 3,621 by trust here, #1,696 by citations
• Signal Processing — 5 citations into it

Whom Tomer Peleg trusts overall

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

1. Michael Elad
2. Paul Smolensky
3. Jianchao Yang
4. Stéphane Mallat
5. Yann LeCun
6. Alfred Marcel Bruckstein
7. Weisheng Dong
8. G. Yu
9. David L. Donoho
10. Yoshua Bengio

Who trusts Tomer Peleg overall

1. Kai Zhang
2. Yulun Zhang
3. Radu Timofte
4. Saeed Anwar
5. Luc Van Gool
6. Xin Yu
7. Shuhang Gu
8. Wangmeng Zuo
9. Stanley H. Chan
10. Jie Liu

Papers from Tomer Peleg's perspective

Ordered by how strongly the researchers Tomer Peleg 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. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• A Statistical Prediction Model Based on Sparse Representations for Single Image Super-Resolution (2014) — 401 citations
• Analysis K-SVD: A Dictionary-Learning Algorithm for the Analysis Sparse Model (2013) — 476 citations