Tameem Adel

Computer Vision and Pattern Recognition · with Cohen · 2017

A researcher in the Science corpus: 1 paper; trusts 27 researchers and is trusted by 36 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 13 citations into it; #4,883 of 21,575 by trust here, #5,161 by citations
• Artificial Intelligence — 8 citations into it; #6,117 of 35,345 by trust here, #7,172 by citations
• Safety, Robustness & Interpretability — 7 citations into it; #409 of 2,251 by trust here, #611 by citations
• Model Architectures — 5 citations into it

Whom Tameem Adel trusts overall

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

1. Karen Simonyan
2. Andrew Zisserman
3. Christian Szegedy
4. Marko Robnik-Sikonja
5. Alex Krizhevsky
6. Geoffrey E. Hinton

Who trusts Tameem Adel overall

1. Marco Ancona
2. Housam Khalifa Bashier Babiker
3. Pieter-Jan Kindermans
4. Wojciech Samek
5. Yinpeng Dong
6. Julius Adebayo
7. Chandan Singh
8. Adrian Weller
9. Kristof T. Schütt
10. Mariusz Bojarski

Papers from Tameem Adel's perspective

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

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

Their papers

• Visualizing Deep Neural Network Decisions: Prediction Difference Analysis (2017) — 746 citations