Najib J. Majaj

Computer Vision and Pattern Recognition · 2004–2019

A researcher in the Science corpus: 5 papers; trusts 29 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 64 citations into it; #14,184 of 21,575 by trust here, #6,089 by citations
• Cognitive Neuroscience — 55 citations into it; #3,061 of 10,852 by trust here, #1,411 by citations
• Artificial Intelligence — 38 citations into it
• Model Architectures — 23 citations into it
• Neuroscience — 20 citations into it

Whom Najib J. Majaj trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Geoffrey E. Hinton
4. Daniel L. K. Yamins
5. Christian Szegedy
6. Yoshua Bengio
7. Yann LeCun
8. Ilya Sutskever
9. James J. DiCarlo
10. Karen Simonyan

Who trusts Najib J. Majaj overall

1. Dennis M. Levi
2. Radoslaw Martin Cichy
3. Nikolaus Kriegeskorte

Papers from Najib J. Majaj's perspective

Ordered by how strongly the researchers Najib J. Majaj 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. Gradient-based learning applied to document recognition
4. ImageNet: A large-scale hierarchical image database
5. ImageNet Large Scale Visual Recognition Challenge
6. Going deeper with convolutions
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Long Short-Term Memory

Their papers

• Deep Neural Networks Rival the Representation of Primate IT Cortex for Core Visual Object Recognition (2014) — 837 citations
• Crowding is unlike ordinary masking: distinguishing feature integration from detection. (2004) — 841 citations
• Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs (2019) — 333 citations
• Brain-Score: Which Artificial Neural Network for Object Recognition is most Brain-Like? (2018) — 725 citations
• Explicit information for category-orthogonal object properties increases along the ventral stream (2016) — 331 citations