A. Amir

Computer Vision and Pattern Recognition · 2000–2017

A researcher in the Science corpus: 4 papers; trusts 1 researcher and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 42 citations into it

Whom A. Amir trusts overall

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

1. Sergey Ioffe
2. Andrea Vedaldi
3. Eshed Ohn-Bar
4. Christian Szegedy
5. Geoffrey E. Hinton
6. Alex Krizhevsky
7. Christoph Posch
8. Yoshua Bengio
9. Kaiming He
10. Karel Lenc

Who trusts A. Amir overall

1. Wei Fang
2. Sumit Bam Shrestha
3. Michael Pfeiffer
4. Daniel Gehrig
5. Jacques Kaiser
6. Garrick Orchard
7. Man Yao
8. Benjamin Cramer
9. Zhaofei Yu
10. Friedemann Zenke

Papers from A. Amir's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Going deeper with convolutions
4. Learning Multiple Layers of Features from Tiny Images
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Long Short-Term Memory
8. ImageNet: A large-scale hierarchical image database
9. Attention is All you Need (Neural Information Processing Systems)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Convolutional networks for fast, energy-efficient neuromorphic computing (2016) — 763 citations
• A million spiking-neuron integrated circuit with a scalable communication network and interface (2014) — 3,922 citations
• A Low Power, Fully Event-Based Gesture Recognition System (2017) — 1,089 citations
• Pupil detection and tracking using multiple light sources (2000) — 468 citations