Daniel Neimark

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 64 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 35 citations into it
• Model Architectures — 11 citations into it

Whom Daniel Neimark trusts overall

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

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

Who trusts Daniel Neimark overall

1. Rohit Girdhar
2. Zhangyang Gao
3. Tatiana Likhomanenko
4. Haoqi Fan
5. Salman Hameed Khan
6. Anurag Arnab
7. Ze Liu
8. Rui Yan
9. Jingyun Liang
10. Xinyu Li

Papers from Daniel Neimark's perspective

Ordered by how strongly the researchers Daniel Neimark 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. Attention is All you Need (Neural Information Processing Systems)
4. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. ImageNet Large Scale Visual Recognition Challenge
9. Going deeper with convolutions
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Video Transformer Network (2021) — 500 citations