Sarbjeet Singh

Computer Vision and Pattern Recognition · with Kaur · 2022

A researcher in the Science corpus: 1 paper; trusts 175 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 79 citations into it
• Artificial Intelligence — 26 citations into it

Whom Sarbjeet Singh trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Alex Krizhevsky
4. Geoffrey E. Hinton
5. Christian Szegedy
6. David G. Lowe
7. Yann LeCun
8. Yoshua Bengio
9. Ilya Sutskever
10. Piotr Doll'ar

Papers from Sarbjeet Singh's perspective

Ordered by how strongly the researchers Sarbjeet Singh 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. ImageNet: A large-scale hierarchical image database
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
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

• A comprehensive review of object detection with deep learning (2022) — 442 citations