Praveer Singh

Computer Vision and Pattern Recognition · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 242 researchers and is trusted by 2,127 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 34 citations into it; #855 of 21,575 by trust here, #2,001 by citations
• Artificial Intelligence — 23 citations into it; #1,323 of 35,345 by trust here, #2,668 by citations
• Representation & Self-Supervised Learning — 16 citations into it; #230 of 3,145 by trust here, #347 by citations
• Model Architectures — 5 citations into it

Whom Praveer Singh trusts overall

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

1. Alex Krizhevsky
2. Yoshua Bengio
3. Geoffrey E. Hinton
4. Kaiming He
5. Ross B. Girshick
6. Yann LeCun
7. Diederik P. Kingma
8. Jeff Donahue
9. Ilya Sutskever
10. Sergey Ioffe

Who trusts Praveer Singh overall

1. Longlong Jing
2. Spyros Gidaris
3. Xiaohua Zhai
4. Ishan Misra
5. Andrea Vedaldi
6. Ting-Li Chen
7. Alexander Kolesnikov
8. Chunyuan Li
9. Trevor Darrell
10. Andrew Zisserman

Papers from Praveer Singh's perspective

Ordered by how strongly the researchers Praveer Singh 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. ImageNet Large Scale Visual Recognition Challenge
9. Learning Multiple Layers of Features from Tiny Images
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Unsupervised Representation Learning by Predicting Image Rotations (2018) — 3,609 citations
• The unreasonable effectiveness of Batch-Norm statistics in addressing catastrophic forgetting across medical institutions (2020) — 3 citations