Tomer Amit

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 230 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 39 citations into it
• Artificial Intelligence — 21 citations into it
• Generative Models — 19 citations into it
• Signal Processing — 9 citations into it
• Model Architectures — 6 citations into it
• Statistical and Nonlinear Physics — 6 citations into it

Whom Tomer Amit trusts overall

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

1. Kaiming He
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Jonathan Ho
6. Ross B. Girshick
7. Yoshua Bengio
8. Yann LeCun
9. Ilya Sutskever
10. Karen Simonyan

Who trusts Tomer Amit overall

1. Junde Wu
2. Alexandros Graikos
3. Ting-Li Chen
4. Wenliang Zhao
5. Julia Wolleb
6. Junyi Zhang
7. Esmeralda S. Whitammer
8. Huihui Fang
9. Lala Li

Papers from Tomer Amit's perspective

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

Their papers

• SegDiff: Image Segmentation with Diffusion Probabilistic Models (2021) — 443 citations